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Li R, Sone N, Gotoh S, Sun X, Hagood JS. Contemporary and emerging technologies for research in children's rare and interstitial lung disease. Pediatr Pulmonol 2024; 59:2349-2359. [PMID: 37204232 DOI: 10.1002/ppul.26490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 05/04/2023] [Accepted: 05/09/2023] [Indexed: 05/20/2023]
Abstract
Although recent decades have seen the identification, classification and discovery of the genetic basis of many children's interstitial and rare lung disease (chILD) disorders, detailed understanding of pathogenesis and specific therapies are still lacking for most of them. Fortunately, a revolution of technological advancements has created new opportunities to address these critical knowledge gaps. High-throughput sequencing has facilitated analysis of transcription of thousands of genes in thousands of single cells, creating tremendous breakthroughs in understanding normal and diseased cellular biology. Spatial techniques allow analysis of transcriptomes and proteomes at the subcellular level in the context of tissue architecture, in many cases even in formalin-fixed, paraffin-embedded specimens. Gene editing techniques allow creation of "humanized" animal models in a shorter time frame, for improved knowledge and preclinical therapeutic testing. Regenerative medicine approaches and bioengineering advancements facilitate the creation of patient-derived induced pluripotent stem cells and their differentiation into tissue-specific cell types which can be studied in multicellular "organoids" or "organ-on-a-chip" approaches. These technologies, singly and in combination, are already being applied to gain new biological insights into chILD disorders. The time is ripe to systematically apply these technologies to chILD, together with sophisticated data science approaches, to improve both biological understanding and disease-specific therapy.
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Affiliation(s)
- Rongbo Li
- Department of Pediatrics, Division of Respiratory Medicine, UC-San Diego, La Jolla, California, USA
| | - Naoyuki Sone
- Center for iPS Cell Research and Application, Kyoto University, Kyoto, Japan
| | - Shimpei Gotoh
- Center for iPS Cell Research and Application, Kyoto University, Kyoto, Japan
| | - Xin Sun
- Department of Pediatrics, Division of Respiratory Medicine, UC-San Diego, La Jolla, California, USA
| | - James S Hagood
- Department of Pediatrics, Pulmonology Division, Program for Rare and Interstitial Lung Disease, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
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2
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Kundrapu DB, Chaitanya AK, Manaswi K, Kumari S, Malla R. Quercetin and taxifolin inhibits TMPRSS2 activity and its interaction with EGFR in paclitaxel-resistant breast cancer cells: An in silico and in vitro study. Chem Biol Drug Des 2024; 104:e14600. [PMID: 39075030 DOI: 10.1111/cbdd.14600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 07/11/2024] [Accepted: 07/16/2024] [Indexed: 07/31/2024]
Abstract
Transmembrane protease/serine (TMPRSS2), a type II transmembrane serine protease, plays a crucial role in different stages of cancer. Recent studies have reported that the triggering epidermal growth factor receptor (EGFR) activation through protease action promotes metastasis. However, there are no reports on the interaction of TMPRSS2 with EGFR, especially in triple-negative triple negative (TNBC). The current study investigates the unexplored interaction between TMPRSS2 and EGFR, which are key partners mediating metastasis. This interaction is explored for potential targeting using quercetin (QUE) and taxifolin (TAX). TMPRSS2 expression patterns in breast cancer (BC) tissues and subtypes have been predicted, with the prognostic significance assessed using the GENT2.0 database. Validation of TMPRSS2 expression was performed in normal and TNBC tissues, including drug-resistant cell lines, utilizing GEO datasets. TMPRSS2 was further validated as a predictive biomarker for FDA-approved chemotherapeutics through transcriptomic data from BC patients. The study demonstrated the association of TMPRSS2 with EGFR through in silico analysis and validates the findings in TNBC cohorts using the TIMER2.0 web server and the TCGA dataset through C-Bioportal. Molecular docking and molecular dynamic simulation studies identified QUE and TAX as best leads targeting TMPRSS2. They inhibited cell-free TMPRSS2 activity like clinical inhibitor of TMPRSS2, Camostat mesylate. In cell-based assays focused on paclitaxel-resistant TNBC (TNBC/PR), QUE and TAX demonstrated potent inhibitory activity against extracellular and membrane-bound TMPRSS2, with low IC50 values. Furthermore, ELISA and cell-based AlphaLISA assays demonstrated that QUE and TAX inhibit the interaction of TMPRSS2 with EGFR. Additionally, QUE and TAX exhibited significant inhibition of proliferation and cell cycle accompanied by notable alterations in the morphology of TNBC/PR cells. This study provides valuable insights into potential of QUE and TAX targeting TMPRSS2 overexpressing TNBC.
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Affiliation(s)
- Durga Bhavani Kundrapu
- Cancer Biology, Department of Life Sciences, GITAM School of Science, GITAM (Deemed to be University), Visakhapatnam, Andhra Pradesh, India
- Department of Life Sciences, GITAM School of Science, GITAM (Deemed to be University), Visakhapatnam, Andhra Pradesh, India
| | - Amajala Krishna Chaitanya
- Department of Life Sciences, GITAM School of Science, GITAM (Deemed to be University), Visakhapatnam, Andhra Pradesh, India
| | - Kothapalli Manaswi
- Department of Life Sciences, GITAM School of Science, GITAM (Deemed to be University), Visakhapatnam, Andhra Pradesh, India
| | - Seema Kumari
- Cancer Biology, Department of Life Sciences, GITAM School of Science, GITAM (Deemed to be University), Visakhapatnam, Andhra Pradesh, India
- Department of Life Sciences, GITAM School of Science, GITAM (Deemed to be University), Visakhapatnam, Andhra Pradesh, India
| | - RamaRao Malla
- Cancer Biology, Department of Life Sciences, GITAM School of Science, GITAM (Deemed to be University), Visakhapatnam, Andhra Pradesh, India
- Department of Life Sciences, GITAM School of Science, GITAM (Deemed to be University), Visakhapatnam, Andhra Pradesh, India
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3
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Liu X, Zhang X, Yao C, Liang J, Noble PW, Jiang D. Transcriptomics Analysis Identifies the Decline in the Alveolar Type II Stem Cell Niche in Aged Human Lungs. Am J Respir Cell Mol Biol 2024; 71:229-241. [PMID: 38635761 PMCID: PMC11299088 DOI: 10.1165/rcmb.2023-0363oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 04/18/2024] [Indexed: 04/20/2024] Open
Abstract
Aging poses a global public health challenge, which is linked to the rise of age-related lung diseases. The precise understanding of the molecular and genetic changes in the aging lung that elevate the risk of acute and chronic lung diseases remains incomplete. Alveolar type II (AT2) cells are stem cells that maintain epithelial homeostasis and repair the lung after injury. AT2 progenitor function decreases with aging. The maintenance of AT2 function requires niche support from other cell types, but little has been done to characterize alveolar alterations with aging in the AT2 niche. To systematically profile the genetic changes associated with age, we present a single-cell transcriptional atlas comprising nearly half a million cells from the healthy lungs of human subjects spanning various ages, sexes, and smoking statuses. Most annotated cell lineages in aged lungs exhibit dysregulated genetic programs. Specifically, the aged AT2 cells demonstrate loss of epithelial identities, heightened inflammaging characterized by increased expression of AP-1 (Activator Protein-1) transcription factor and chemokine genes, and significantly increased cellular senescence. Furthermore, the aged mesenchymal cells display a remarkable decrease in collagen and elastin transcription and a loss of support to epithelial cell stemness. The decline of the AT2 niche is further exacerbated by a dysregulated genetic program in macrophages and dysregulated communications between AT2 and macrophages in aged human lungs. These findings highlight the dysregulations observed in both AT2 stem cells and their supportive niche cells, potentially contributing to the increased susceptibility of aged populations to lung diseases.
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Affiliation(s)
- Xue Liu
- Department of Medicine and Women’s Guild Lung Institute and
| | - Xuexi Zhang
- Department of Medicine and Women’s Guild Lung Institute and
| | - Changfu Yao
- Department of Medicine and Women’s Guild Lung Institute and
| | - Jiurong Liang
- Department of Medicine and Women’s Guild Lung Institute and
| | - Paul W. Noble
- Department of Medicine and Women’s Guild Lung Institute and
| | - Dianhua Jiang
- Department of Medicine and Women’s Guild Lung Institute and
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California
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4
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Leibel SL, McVicar RN, Murad R, Kwong EM, Clark AE, Alvarado A, Grimmig BA, Nuryyev R, Young RE, Lee JC, Peng W, Zhu YP, Griffis E, Nowell CJ, James B, Alarcon S, Malhotra A, Gearing LJ, Hertzog PJ, Galapate CM, Galenkamp KMO, Commisso C, Smith DM, Sun X, Carlin AF, Sidman RL, Croker BA, Snyder EY. A therapy for suppressing canonical and noncanonical SARS-CoV-2 viral entry and an intrinsic intrapulmonary inflammatory response. Proc Natl Acad Sci U S A 2024; 121:e2408109121. [PMID: 39028694 PMCID: PMC11287264 DOI: 10.1073/pnas.2408109121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Accepted: 05/20/2024] [Indexed: 07/21/2024] Open
Abstract
The prevalence of "long COVID" is just one of the conundrums highlighting how little we know about the lung's response to viral infection, particularly to syndromecoronavirus-2 (SARS-CoV-2), for which the lung is the point of entry. We used an in vitro human lung system to enable a prospective, unbiased, sequential single-cell level analysis of pulmonary cell responses to infection by multiple SARS-CoV-2 strains. Starting with human induced pluripotent stem cells and emulating lung organogenesis, we generated and infected three-dimensional, multi-cell-type-containing lung organoids (LOs) and gained several unexpected insights. First, SARS-CoV-2 tropism is much broader than previously believed: Many lung cell types are infectable, if not through a canonical receptor-mediated route (e.g., via Angiotensin-converting encyme 2(ACE2)) then via a noncanonical "backdoor" route (via macropinocytosis, a form of endocytosis). Food and Drug Administration (FDA)-approved endocytosis blockers can abrogate such entry, suggesting adjunctive therapies. Regardless of the route of entry, the virus triggers a lung-autonomous, pulmonary epithelial cell-intrinsic, innate immune response involving interferons and cytokine/chemokine production in the absence of hematopoietic derivatives. The virus can spread rapidly throughout human LOs resulting in mitochondrial apoptosis mediated by the prosurvival protein Bcl-xL. This host cytopathic response to the virus may help explain persistent inflammatory signatures in a dysfunctional pulmonary environment of long COVID. The host response to the virus is, in significant part, dependent on pulmonary Surfactant Protein-B, which plays an unanticipated role in signal transduction, viral resistance, dampening of systemic inflammatory cytokine production, and minimizing apoptosis. Exogenous surfactant, in fact, can be broadly therapeutic.
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Affiliation(s)
- Sandra L. Leibel
- Department of Pediatrics, University of California San Diego, La Jolla, CA92093
- Sanford Consortium for Regenerative Medicine, La Jolla, CA92037
| | - Rachael N. McVicar
- Sanford Consortium for Regenerative Medicine, La Jolla, CA92037
- Sanford Burnham Prebys Medical Discovery Institute, Center for Stem Cells & Regenerative Medicine, La Jolla, CA92037
| | - Rabi Murad
- Sanford Burnham Prebys Medical Discovery Institute, Center for Stem Cells & Regenerative Medicine, La Jolla, CA92037
| | - Elizabeth M. Kwong
- Department of Pediatrics, University of California San Diego, La Jolla, CA92093
- Sanford Consortium for Regenerative Medicine, La Jolla, CA92037
- Sanford Burnham Prebys Medical Discovery Institute, Center for Stem Cells & Regenerative Medicine, La Jolla, CA92037
| | - Alex E. Clark
- Department of Medicine, University of California San Diego, La Jolla, CA92093
| | - Asuka Alvarado
- Sanford Consortium for Regenerative Medicine, La Jolla, CA92037
- Sanford Burnham Prebys Medical Discovery Institute, Center for Stem Cells & Regenerative Medicine, La Jolla, CA92037
| | - Bethany A. Grimmig
- Sanford Consortium for Regenerative Medicine, La Jolla, CA92037
- Sanford Burnham Prebys Medical Discovery Institute, Center for Stem Cells & Regenerative Medicine, La Jolla, CA92037
| | - Ruslan Nuryyev
- Sanford Consortium for Regenerative Medicine, La Jolla, CA92037
- Sanford Burnham Prebys Medical Discovery Institute, Center for Stem Cells & Regenerative Medicine, La Jolla, CA92037
| | - Randee E. Young
- Department of Pediatrics, University of California San Diego, La Jolla, CA92093
| | - Jamie C. Lee
- Department of Pediatrics, University of California San Diego, La Jolla, CA92093
| | - Weiqi Peng
- Department of Pediatrics, University of California San Diego, La Jolla, CA92093
| | - Yanfang P. Zhu
- Department of Pediatrics, University of California San Diego, La Jolla, CA92093
| | - Eric Griffis
- Nikon Imaging Center, University of California San Diego, La Jolla, CA92093
| | - Cameron J. Nowell
- Monash Institute of Pharmaceutical Sciences, Parkville, VIC3052, Australia
| | - Brian James
- Sanford Burnham Prebys Medical Discovery Institute, Center for Stem Cells & Regenerative Medicine, La Jolla, CA92037
| | - Suzie Alarcon
- La Jolla Institute for Immunology, La Jolla, CA92037
| | - Atul Malhotra
- Division of Pulmonary, Critical Care, and Sleep Medicine, University of California San Diego, La Jolla, CA92093
| | - Linden J. Gearing
- Centre for Innate Immunity and Infectious Diseases, Hudson Institute of Medical Research, Clayton, VIC3168, Australia
- Department of Molecular and Translational Sciences, Monash University Clayton, Clayton, VIC3168, Australia
| | - Paul J. Hertzog
- Centre for Innate Immunity and Infectious Diseases, Hudson Institute of Medical Research, Clayton, VIC3168, Australia
- Department of Molecular and Translational Sciences, Monash University Clayton, Clayton, VIC3168, Australia
| | - Cheska M. Galapate
- Sanford Burnham Prebys Medical Discovery Institute Cell & Molecular Biology of Cancer, La Jolla, CA92037
| | - Koen M. O. Galenkamp
- Sanford Burnham Prebys Medical Discovery Institute, Center for Stem Cells & Regenerative Medicine, La Jolla, CA92037
| | - Cosimo Commisso
- Sanford Burnham Prebys Medical Discovery Institute Cell & Molecular Biology of Cancer, La Jolla, CA92037
| | - Davey M. Smith
- Department of Medicine, University of California San Diego, La Jolla, CA92093
| | - Xin Sun
- Department of Pediatrics, University of California San Diego, La Jolla, CA92093
| | - Aaron F. Carlin
- Department of Medicine, University of California San Diego, La Jolla, CA92093
| | - Richard L. Sidman
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA02115
| | - Ben A. Croker
- Department of Pediatrics, University of California San Diego, La Jolla, CA92093
| | - Evan Y. Snyder
- Sanford Consortium for Regenerative Medicine, La Jolla, CA92037
- Sanford Burnham Prebys Medical Discovery Institute, Center for Stem Cells & Regenerative Medicine, La Jolla, CA92037
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5
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Maqbool M, Hussain MS, Shaikh NK, Sultana A, Bisht AS, Agrawal M. Noncoding RNAs in the COVID-19 Saga: An Untold Story. Viral Immunol 2024. [PMID: 38968365 DOI: 10.1089/vim.2024.0026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/07/2024] Open
Affiliation(s)
- Mudasir Maqbool
- Department of Pharmaceutical Sciences, University of Kashmir, Srinagar, India
| | - Md Sadique Hussain
- Uttaranchal Institute of Pharmaceutical Sciences, Uttaranchal University, Dehradun, India
| | - Nusrat K Shaikh
- Department of Quality Assurance, Smt. N. M. Padalia Pharmacy College, Ahmedabad, India
| | - Ayesha Sultana
- Department of Pharmaceutics, Yenepoya Pharmacy College & Research Centre, Yenepoya University, Mangalore, India
| | - Ajay Singh Bisht
- Shri Guru Ram Rai University School of Pharmaceutical Sciences, Dehradun, India
| | - Mohit Agrawal
- Department of Pharmacology, School of Medical & Allied Sciences, K. R. Mangalam University, Gurugram, India
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6
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Hudgins AD, Zhou S, Arey RN, Rosenfeld MG, Murphy CT, Suh Y. A systems biology-based identification and in vivo functional screening of Alzheimer's disease risk genes reveal modulators of memory function. Neuron 2024; 112:2112-2129.e4. [PMID: 38692279 PMCID: PMC11223975 DOI: 10.1016/j.neuron.2024.04.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 10/18/2023] [Accepted: 04/08/2024] [Indexed: 05/03/2024]
Abstract
Genome-wide association studies (GWASs) have uncovered over 75 genomic loci associated with risk for late-onset Alzheimer's disease (LOAD), but identification of the underlying causal genes remains challenging. Studies of induced pluripotent stem cell (iPSC)-derived neurons from LOAD patients have demonstrated the existence of neuronal cell-intrinsic functional defects. Here, we searched for genetic contributions to neuronal dysfunction in LOAD using an integrative systems approach that incorporated multi-evidence-based gene mapping and network-analysis-based prioritization. A systematic perturbation screening of candidate risk genes in Caenorhabditis elegans (C. elegans) revealed that neuronal knockdown of the LOAD risk gene orthologs vha-10 (ATP6V1G2), cmd-1 (CALM3), amph-1 (BIN1), ephx-1 (NGEF), and pho-5 (ACP2) alters short-/intermediate-term memory function, the cognitive domain affected earliest during LOAD progression. These results highlight the impact of LOAD risk genes on evolutionarily conserved memory function, as mediated through neuronal endosomal dysfunction, and identify new targets for further mechanistic interrogation.
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Affiliation(s)
- Adam D Hudgins
- Department of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, NY, USA
| | - Shiyi Zhou
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Rachel N Arey
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Michael G Rosenfeld
- Department of Medicine, School of Medicine, University of California, La Jolla, CA, USA; Howard Hughes Medical Institute, University of California, La Jolla, CA, USA
| | - Coleen T Murphy
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA; LSI Genomics, Princeton University, Princeton, NJ, USA.
| | - Yousin Suh
- Department of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, NY, USA; Department of Genetics and Development, Columbia University Irving Medical Center, New York, NY, USA.
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7
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Benjamin KJM, Sauler M, Poonyagariyagorn H, Neptune ER. Cell type-specific expression of angiotensin receptors in the human lung with implications for health, aging, and chronic disease. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.17.599425. [PMID: 38948835 PMCID: PMC11212981 DOI: 10.1101/2024.06.17.599425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
The renin-angiotensin system is a highly characterized integrative pathway in mammalian homeostasis whose clinical spectrum has been expanded to lung disorders such as chronic obstructive pulmonary disease (COPD)-emphysema, idiopathic pulmonary fibrosis (IPF), and COVID pathogenesis. Despite this widespread interest, specific localization of this receptor family in the mammalian lung is limited, partially due to the imprecision of available antibody reagents. In this study, we establish the expression pattern of the two predominant angiotensin receptors in the human lung, AGTR1 and AGTR2, using complementary and comprehensive bulk and single-cell RNA-sequence datasets that are publicly available. We show these two receptors have distinct localization patterns and developmental trajectories in the human lung, pericytes for AGTR1 and a subtype of alveolar epithelial type 2 cells for AGTR2. In the context of disease, we further pinpoint AGTR2 localization to the COPD-associated subpopulation of alveolar epithelial type 2 (AT2B) and AGTR1 localization to fibroblasts, where their expression is upregulated in individuals with COPD, but not in individuals with IPF. Finally, we examine the genetic variation of the angiotensin receptors, finding AGTR2 associated with lung phenotype (i.e., cystic fibrosis) via rs1403543. Together, our findings provide a critical foundation for delineating this pathway's role in lung homeostasis and constructing rational approaches for targeting specific lung disorders.
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Affiliation(s)
- Kynon JM Benjamin
- Lieber Institute for Brain Development, Baltimore, MD, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Maor Sauler
- Pulmonary, Critical Care and Sleep Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Hataya Poonyagariyagorn
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Enid R Neptune
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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8
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Han G, Yan D, Sun Z, Fang J, Chang X, Wilson L, Liu Y. Bayesian-frequentist hybrid inference framework for single cell RNA-seq analyses. Hum Genomics 2024; 18:69. [PMID: 38902839 DOI: 10.1186/s40246-024-00638-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 06/12/2024] [Indexed: 06/22/2024] Open
Abstract
BACKGROUND Single cell RNA sequencing technology (scRNA-seq) has been proven useful in understanding cell-specific disease mechanisms. However, identifying genes of interest remains a key challenge. Pseudo-bulk methods that pool scRNA-seq counts in the same biological replicates have been commonly used to identify differentially expressed genes. However, such methods may lack power due to the limited sample size of scRNA-seq datasets, which can be prohibitively expensive. RESULTS Motivated by this, we proposed to use the Bayesian-frequentist hybrid (BFH) framework to increase the power and we showed in simulated scenario, the proposed BFH would be an optimal method when compared with other popular single cell differential expression methods if both FDR and power were considered. As an example, the method was applied to an idiopathic pulmonary fibrosis (IPF) case study. CONCLUSION In our IPF example, we demonstrated that with a proper informative prior, the BFH approach identified more genes of interest. Furthermore, these genes were reasonable based on the current knowledge of IPF. Thus, the BFH offers a unique and flexible framework for future scRNA-seq analyses.
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Affiliation(s)
- Gang Han
- Department of Epidemiology and Biostatistics, School of Public Health, Texas A&M University, College Station, TX, USA
| | - Dongyan Yan
- Eli Lilly and Company, Lilly Corporate Center, 893 Delaware St, Indianapolis, IN, 46225, USA
| | - Zhe Sun
- Eli Lilly and Company, Lilly Corporate Center, 893 Delaware St, Indianapolis, IN, 46225, USA
| | - Jiyuan Fang
- Eli Lilly and Company, Lilly Corporate Center, 893 Delaware St, Indianapolis, IN, 46225, USA
| | - Xinyue Chang
- Eli Lilly and Company, Lilly Corporate Center, 893 Delaware St, Indianapolis, IN, 46225, USA
| | - Lucas Wilson
- Department of Epidemiology and Biostatistics, School of Public Health, Texas A&M University, College Station, TX, USA
| | - Yushi Liu
- Eli Lilly and Company, Lilly Corporate Center, 893 Delaware St, Indianapolis, IN, 46225, USA.
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9
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Wang G, Wen B, Guo M, Li E, Zhang Y, Whitsett JA, Kalin TV, Kalinichenko VV. Identification of endothelial and mesenchymal FOXF1 enhancers involved in alveolar capillary dysplasia. Nat Commun 2024; 15:5233. [PMID: 38898031 PMCID: PMC11187179 DOI: 10.1038/s41467-024-49477-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 05/31/2024] [Indexed: 06/21/2024] Open
Abstract
Mutations in the FOXF1 gene, a key transcriptional regulator of pulmonary vascular development, cause Alveolar Capillary Dysplasia with Misalignment of Pulmonary Veins, a lethal lung disease affecting newborns and infants. Identification of new FOXF1 upstream regulatory elements is critical to explain why frequent non-coding FOXF1 deletions are linked to the disease. Herein, we use multiome single-nuclei RNA and ATAC sequencing of mouse and human patient lungs to identify four conserved endothelial and mesenchymal FOXF1 enhancers. We demonstrate that endothelial FOXF1 enhancers are autoactivated, whereas mesenchymal FOXF1 enhancers are regulated by EBF1 and GLI1. The cell-specificity of FOXF1 enhancers is validated by disrupting these enhancers in mouse embryonic stem cells using CRISPR/Cpf1 genome editing followed by lineage-tracing of mutant embryonic stem cells in mouse embryos using blastocyst complementation. This study resolves an important clinical question why frequent non-coding FOXF1 deletions that interfere with endothelial and mesenchymal enhancers can lead to the disease.
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Affiliation(s)
- Guolun Wang
- Division of Neonatology and Pulmonary Biology, Perinatal Institute, Cincinnati Children's Research Foundation, Cincinnati, OH, USA.
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
| | - Bingqiang Wen
- Phoenix Children's Research Institute, Department of Child Health, University of Arizona, College of Medicine - Phoenix, Phoenix, AZ, USA
| | - Minzhe Guo
- Division of Neonatology and Pulmonary Biology, Perinatal Institute, Cincinnati Children's Research Foundation, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Enhong Li
- Phoenix Children's Research Institute, Department of Child Health, University of Arizona, College of Medicine - Phoenix, Phoenix, AZ, USA
| | - Yufang Zhang
- Division of Neonatology and Pulmonary Biology, Perinatal Institute, Cincinnati Children's Research Foundation, Cincinnati, OH, USA
| | - Jeffrey A Whitsett
- Division of Neonatology and Pulmonary Biology, Perinatal Institute, Cincinnati Children's Research Foundation, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Tanya V Kalin
- Phoenix Children's Research Institute, Department of Child Health, University of Arizona, College of Medicine - Phoenix, Phoenix, AZ, USA
| | - Vladimir V Kalinichenko
- Phoenix Children's Research Institute, Department of Child Health, University of Arizona, College of Medicine - Phoenix, Phoenix, AZ, USA.
- Division of Neonatology, Phoenix Children's Hospital, Phoenix, AZ, USA.
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10
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Masui A, Hashimoto R, Matsumura Y, Yamamoto T, Nagao M, Noda T, Takayama K, Gotoh S. Micro-patterned culture of iPSC-derived alveolar and airway cells distinguishes SARS-CoV-2 variants. Stem Cell Reports 2024; 19:545-561. [PMID: 38552631 PMCID: PMC11096626 DOI: 10.1016/j.stemcr.2024.02.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Revised: 02/27/2024] [Accepted: 02/28/2024] [Indexed: 04/12/2024] Open
Abstract
The emergence of severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) variants necessitated a rapid evaluation system for their pathogenesis. Lung epithelial cells are their entry points; however, in addition to their limited source, the culture of human alveolar epithelial cells is especially complicated. Induced pluripotent stem cells (iPSCs) are an alternative source of human primary stem cells. Here, we report a model for distinguishing SARS-CoV-2 variants at high resolution, using separately induced iPSC-derived alveolar and airway cells in micro-patterned culture plates. The position-specific signals induced the apical-out alveolar type 2 and multiciliated airway cells at the periphery and center of the colonies, respectively. The infection studies in each lineage enabled profiling of the pathogenesis of SARS-CoV-2 variants: infection efficiency, tropism to alveolar and airway lineages, and their responses. These results indicate that this culture system is suitable for predicting the pathogenesis of emergent SARS-CoV-2 variants.
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Affiliation(s)
- Atsushi Masui
- Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto 606-8507, Japan; Department of Drug Discovery for Lung Diseases, Graduate School of Medicine, Kyoto University, Kyoto 606-8501, Japan
| | - Rina Hashimoto
- Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto 606-8507, Japan
| | - Yasufumi Matsumura
- Department of Clinical Laboratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan
| | - Takuya Yamamoto
- Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto 606-8507, Japan; Medical-risk Avoidance Based on iPS Cells Team, RIKEN Center for Advanced Intelligence Project (AIP), Kyoto 606-8507, Japan; Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto 606-8501, Japan
| | - Miki Nagao
- Department of Clinical Laboratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan
| | - Takeshi Noda
- Laboratory of Ultrastructural Virology, Institute for Life and Medical Sciences, Kyoto University, Kyoto 606-8507, Japan; Laboratory of Ultrastructural Virology, Graduate School of Biostudies, Kyoto University, Kyoto 606-8507, Japan
| | - Kazuo Takayama
- Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto 606-8507, Japan.
| | - Shimpei Gotoh
- Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto 606-8507, Japan; Department of Drug Discovery for Lung Diseases, Graduate School of Medicine, Kyoto University, Kyoto 606-8501, Japan.
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11
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Kashima Y, Reteng P, Haga Y, Yamagishi J, Suzuki Y. Single-cell analytical technologies: uncovering the mechanisms behind variations in immune responses. FEBS J 2024; 291:819-831. [PMID: 36082537 DOI: 10.1111/febs.16622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 08/25/2022] [Accepted: 09/08/2022] [Indexed: 11/30/2022]
Abstract
The immune landscape varies among individuals. It determines the immune response and results in surprisingly diverse symptoms, even in response to similar external stimuli. However, the detailed mechanisms underlying such diverse immune responses have remained mostly elusive. The utilization of recently developed single-cell multimodal analysis platforms has started to answer this question. Emerging studies have elucidated several molecular networks that may explain diversity with respect to age or other factors. An elaborate interplay between inherent physical conditions and environmental conditions has been demonstrated. Furthermore, the importance of modifications by the epigenome resulting in transcriptome variation among individuals is gradually being revealed. Accordingly, epigenomes and transcriptomes are direct indicators of the medical history and dynamic interactions with environmental factors. Coronavirus disease 2019 (COVID-19) has recently become one of the most remarkable examples of the necessity of in-depth analyses of diverse responses with respect to various factors to improve treatment in severe cases and to prevent viral transmission from asymptomatic carriers. In fact, determining why some patients develop serious symptoms is still a pressing issue. Here, we review the current "state of the art" in single-cell analytical technologies and their broad applications to healthy individuals and representative diseases, including COVID-19.
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Affiliation(s)
- Yukie Kashima
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan
| | - Patrick Reteng
- Division of Collaboration and Education, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan
| | - Yasuhiko Haga
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan
| | - Junya Yamagishi
- Division of Collaboration and Education, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan
| | - Yutaka Suzuki
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan
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12
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Guo F, Zhang L, Yu Y, Gong L, Tao S, Werder RB, Mishra S, Zhou Y, Anamika WJ, Lao T, Inuzuka H, Zhang Y, Pham B, Liu T, Tufenkjian TS, Richmond BW, Wei W, Mou H, Wilson AA, Hu M, Chen W, Zhou X. Identification of a distal enhancer regulating hedgehog interacting protein gene in human lung epithelial cells. EBioMedicine 2024; 101:105026. [PMID: 38417378 PMCID: PMC10944180 DOI: 10.1016/j.ebiom.2024.105026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 01/26/2024] [Accepted: 02/06/2024] [Indexed: 03/01/2024] Open
Abstract
BACKGROUND An intergenic region at chromosome 4q31 is one of the most significant regions associated with COPD susceptibility and lung function in GWAS. In this region, the implicated causal gene HHIP has a unique epithelial expression pattern in adult human lungs, in contrast to dominant expression in fibroblasts in murine lungs. However, the mechanism underlying the species-dependent cell type-specific regulation of HHIP remains largely unknown. METHODS We employed snATAC-seq analysis to identify open chromatin regions within the COPD GWAS region in various human lung cell types. ChIP-quantitative PCR, reporter assays, chromatin conformation capture assays and Hi-C assays were conducted to characterize the regulatory element in this region. CRISPR/Cas9-editing was performed in BEAS-2B cells to generate single colonies with stable knockout of the regulatory element. RT-PCR and Western blot assays were used to evaluate expression of HHIP and epithelial-mesenchymal transition (EMT)-related marker genes. FINDINGS We identified a distal enhancer within the COPD 4q31 GWAS locus that regulates HHIP transcription at baseline and after TGFβ treatment in a SMAD3-dependent, but Hedgehog-independent manner in human bronchial epithelial cells. The distal enhancer also maintains chromatin topological domains near 4q31 locus and HHIP gene. Reduced HHIP expression led to increased EMT induced by TGFβ in human bronchial epithelial cells. INTERPRETATION A distal enhancer regulates HHIP expression both under homeostatic condition and upon TGFβ treatment in human bronchial epithelial cells. The interaction between HHIP and TGFβ signalling possibly contributes to COPD pathogenesis. FUNDING Supported by NIH grants R01HL127200, R01HL148667 and R01HL162783 (to X. Z).
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Affiliation(s)
- Feng Guo
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Jiangsu Key Laboratory of Immunity and Metabolism, Department of Pathogenic Biology and Immunology, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China.
| | - Li Zhang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Department of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Yuzhen Yu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Lu Gong
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Shiyue Tao
- Department of Biostatistics, School of Public Health, University of Pittsburgh, Pittsburgh, PA 15224, USA
| | - Rhiannon B Werder
- Center for Regenerative Medicine of Boston University and Boston Medical Center, Boston, MA 02118, USA; The Pulmonary Center and Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
| | - Shreya Mishra
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH 44195, USA
| | - Yihan Zhou
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Wardatul Jannat Anamika
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Taotao Lao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Hiroyuki Inuzuka
- Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, USA
| | - Yihan Zhang
- The Mucosal Immunology and Biology Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Betty Pham
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Tao Liu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Tiffany S Tufenkjian
- Department of Veterans Affairs Medical Center, Nashville, TN 37232, USA; Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Bradley W Richmond
- Department of Veterans Affairs Medical Center, Nashville, TN 37232, USA; Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Wenyi Wei
- Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, USA
| | - Hongmei Mou
- The Mucosal Immunology and Biology Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Andrew A Wilson
- Center for Regenerative Medicine of Boston University and Boston Medical Center, Boston, MA 02118, USA; The Pulmonary Center and Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
| | - Ming Hu
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH 44195, USA
| | - Wei Chen
- Department of Biostatistics, School of Public Health, University of Pittsburgh, Pittsburgh, PA 15224, USA; Division of Pediatric Pulmonary Medicine, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA 15224, USA
| | - Xiaobo Zhou
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
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13
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Zhang J, Liu Y. Epithelial stem cells and niches in lung alveolar regeneration and diseases. CHINESE MEDICAL JOURNAL PULMONARY AND CRITICAL CARE MEDICINE 2024; 2:17-26. [PMID: 38645714 PMCID: PMC11027191 DOI: 10.1016/j.pccm.2023.10.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Alveoli serve as the functional units of the lungs, responsible for the critical task of blood-gas exchange. Comprising type I (AT1) and type II (AT2) cells, the alveolar epithelium is continuously subject to external aggressors like pathogens and airborne particles. As such, preserving lung function requires both the homeostatic renewal and reparative regeneration of this epithelial layer. Dysfunctions in these processes contribute to various lung diseases. Recent research has pinpointed specific cell subgroups that act as potential stem or progenitor cells for the alveolar epithelium during both homeostasis and regeneration. Additionally, endothelial cells, fibroblasts, and immune cells synergistically establish a nurturing microenvironment-or "niche"-that modulates these epithelial stem cells. This review aims to consolidate the latest findings on the identities of these stem cells and the components of their niche, as well as the molecular mechanisms that govern them. Additionally, this article highlights diseases that arise due to perturbations in stem cell-niche interactions. We also discuss recent technical innovations that have catalyzed these discoveries. Specifically, this review underscores the heterogeneity, plasticity, and dynamic regulation of these stem cell-niche systems. It is our aspiration that a deeper understanding of the fundamental cellular and molecular mechanisms underlying alveolar homeostasis and regeneration will open avenues for identifying novel therapeutic targets for conditions such as chronic obstructive pulmonary disease (COPD), fibrosis, coronavirus disease 2019 (COVID-19), and lung cancer.
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Affiliation(s)
- Jilei Zhang
- Department of Pharmacology and Regenerative Medicine, University of Illinois College of Medicine, Chicago, IL 60612, USA
| | - Yuru Liu
- Department of Pharmacology and Regenerative Medicine, University of Illinois College of Medicine, Chicago, IL 60612, USA
- University of Illinois Cancer Center, Chicago, IL 60612, USA
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14
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Bhattacharya S, Myers JA, Baker C, Guo M, Danopoulos S, Myers JR, Bandyopadhyay G, Romas ST, Huyck HL, Misra RS, Dutra J, Holden-Wiltse J, McDavid AN, Ashton JM, Al Alam D, Potter SS, Whitsett JA, Xu Y, Pryhuber GS, Mariani TJ. Single-Cell Transcriptomic Profiling Identifies Molecular Phenotypes of Newborn Human Lung Cells. Genes (Basel) 2024; 15:298. [PMID: 38540357 PMCID: PMC10970229 DOI: 10.3390/genes15030298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 02/22/2024] [Accepted: 02/23/2024] [Indexed: 05/01/2024] Open
Abstract
While animal model studies have extensively defined the mechanisms controlling cell diversity in the developing mammalian lung, there exists a significant knowledge gap with regards to late-stage human lung development. The NHLBI Molecular Atlas of Lung Development Program (LungMAP) seeks to fill this gap by creating a structural, cellular and molecular atlas of the human and mouse lung. Transcriptomic profiling at the single-cell level created a cellular atlas of newborn human lungs. Frozen single-cell isolates obtained from two newborn human lungs from the LungMAP Human Tissue Core Biorepository, were captured, and library preparation was completed on the Chromium 10X system. Data was analyzed in Seurat, and cellular annotation was performed using the ToppGene functional analysis tool. Transcriptional interrogation of 5500 newborn human lung cells identified distinct clusters representing multiple populations of epithelial, endothelial, fibroblasts, pericytes, smooth muscle, immune cells and their gene signatures. Computational integration of data from newborn human cells and with 32,000 cells from postnatal days 1 through 10 mouse lungs generated by the LungMAP Cincinnati Research Center facilitated the identification of distinct cellular lineages among all the major cell types. Integration of the newborn human and mouse cellular transcriptomes also demonstrated cell type-specific differences in maturation states of newborn human lung cells. Specifically, newborn human lung matrix fibroblasts could be separated into those representative of younger cells (n = 393), or older cells (n = 158). Cells with each molecular profile were spatially resolved within newborn human lung tissue. This is the first comprehensive molecular map of the cellular landscape of neonatal human lung, including biomarkers for cells at distinct states of maturity.
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Affiliation(s)
- Soumyaroop Bhattacharya
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY 14642, USA; (G.B.); (S.T.R.); (H.L.H.); (R.S.M.); (G.S.P.); (T.J.M.)
| | - Jacquelyn A. Myers
- Genomic Research Center, University of Rochester Medical Center, Rochester, NY 14642, USA; (J.A.M.); (C.B.); (J.R.M.); (J.M.A.)
| | - Cameron Baker
- Genomic Research Center, University of Rochester Medical Center, Rochester, NY 14642, USA; (J.A.M.); (C.B.); (J.R.M.); (J.M.A.)
| | - Minzhe Guo
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45219, USA; (M.G.); (S.S.P.); (J.A.W.); (Y.X.)
| | - Soula Danopoulos
- Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical Center, University of California Los Angeles, Los Angeles, CA 90024, USA; (S.D.)
| | - Jason R. Myers
- Genomic Research Center, University of Rochester Medical Center, Rochester, NY 14642, USA; (J.A.M.); (C.B.); (J.R.M.); (J.M.A.)
| | - Gautam Bandyopadhyay
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY 14642, USA; (G.B.); (S.T.R.); (H.L.H.); (R.S.M.); (G.S.P.); (T.J.M.)
| | - Stephen T. Romas
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY 14642, USA; (G.B.); (S.T.R.); (H.L.H.); (R.S.M.); (G.S.P.); (T.J.M.)
| | - Heidie L. Huyck
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY 14642, USA; (G.B.); (S.T.R.); (H.L.H.); (R.S.M.); (G.S.P.); (T.J.M.)
| | - Ravi S. Misra
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY 14642, USA; (G.B.); (S.T.R.); (H.L.H.); (R.S.M.); (G.S.P.); (T.J.M.)
| | - Jennifer Dutra
- Clinical & Translational Science Institute, University of Rochester, Rochester, NY 14642, USA; (J.D.); (J.H.-W.)
| | - Jeanne Holden-Wiltse
- Clinical & Translational Science Institute, University of Rochester, Rochester, NY 14642, USA; (J.D.); (J.H.-W.)
- Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY 14642, USA;
| | - Andrew N. McDavid
- Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY 14642, USA;
| | - John M. Ashton
- Genomic Research Center, University of Rochester Medical Center, Rochester, NY 14642, USA; (J.A.M.); (C.B.); (J.R.M.); (J.M.A.)
| | - Denise Al Alam
- Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical Center, University of California Los Angeles, Los Angeles, CA 90024, USA; (S.D.)
| | - S. Steven Potter
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45219, USA; (M.G.); (S.S.P.); (J.A.W.); (Y.X.)
| | - Jeffrey A. Whitsett
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45219, USA; (M.G.); (S.S.P.); (J.A.W.); (Y.X.)
| | - Yan Xu
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45219, USA; (M.G.); (S.S.P.); (J.A.W.); (Y.X.)
| | - Gloria S. Pryhuber
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY 14642, USA; (G.B.); (S.T.R.); (H.L.H.); (R.S.M.); (G.S.P.); (T.J.M.)
| | - Thomas J. Mariani
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY 14642, USA; (G.B.); (S.T.R.); (H.L.H.); (R.S.M.); (G.S.P.); (T.J.M.)
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15
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Hao Y, Stuart T, Kowalski MH, Choudhary S, Hoffman P, Hartman A, Srivastava A, Molla G, Madad S, Fernandez-Granda C, Satija R. Dictionary learning for integrative, multimodal and scalable single-cell analysis. Nat Biotechnol 2024; 42:293-304. [PMID: 37231261 PMCID: PMC10928517 DOI: 10.1038/s41587-023-01767-y] [Citation(s) in RCA: 226] [Impact Index Per Article: 226.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 03/28/2023] [Indexed: 05/27/2023]
Abstract
Mapping single-cell sequencing profiles to comprehensive reference datasets provides a powerful alternative to unsupervised analysis. However, most reference datasets are constructed from single-cell RNA-sequencing data and cannot be used to annotate datasets that do not measure gene expression. Here we introduce 'bridge integration', a method to integrate single-cell datasets across modalities using a multiomic dataset as a molecular bridge. Each cell in the multiomic dataset constitutes an element in a 'dictionary', which is used to reconstruct unimodal datasets and transform them into a shared space. Our procedure accurately integrates transcriptomic data with independent single-cell measurements of chromatin accessibility, histone modifications, DNA methylation and protein levels. Moreover, we demonstrate how dictionary learning can be combined with sketching techniques to improve computational scalability and harmonize 8.6 million human immune cell profiles from sequencing and mass cytometry experiments. Our approach, implemented in version 5 of our Seurat toolkit ( http://www.satijalab.org/seurat ), broadens the utility of single-cell reference datasets and facilitates comparisons across diverse molecular modalities.
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Affiliation(s)
- Yuhan Hao
- Center for Genomics and Systems Biology, New York University, New York, NY, USA
- New York Genome Center, New York, NY, USA
| | - Tim Stuart
- Center for Genomics and Systems Biology, New York University, New York, NY, USA
- New York Genome Center, New York, NY, USA
| | - Madeline H Kowalski
- New York Genome Center, New York, NY, USA
- Institute for System Genetics, NYU Langone Medical Center, New York, NY, USA
| | - Saket Choudhary
- Center for Genomics and Systems Biology, New York University, New York, NY, USA
- New York Genome Center, New York, NY, USA
| | - Paul Hoffman
- Center for Genomics and Systems Biology, New York University, New York, NY, USA
| | - Austin Hartman
- Center for Genomics and Systems Biology, New York University, New York, NY, USA
| | - Avi Srivastava
- Center for Genomics and Systems Biology, New York University, New York, NY, USA
- New York Genome Center, New York, NY, USA
| | | | - Shaista Madad
- Center for Genomics and Systems Biology, New York University, New York, NY, USA
- New York Genome Center, New York, NY, USA
| | - Carlos Fernandez-Granda
- Center for Data Science, New York University, New York, NY, USA
- Courant Institute of Mathematical Sciences, New York University, New York, NY, USA
| | - Rahul Satija
- Center for Genomics and Systems Biology, New York University, New York, NY, USA.
- New York Genome Center, New York, NY, USA.
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16
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Zhang J, Rissmann M, Kuiken T, Haagmans BL. Comparative Pathogenesis of Severe Acute Respiratory Syndrome Coronaviruses. ANNUAL REVIEW OF PATHOLOGY 2024; 19:423-451. [PMID: 37832946 DOI: 10.1146/annurev-pathol-052620-121224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/15/2023]
Abstract
Over the last two decades the world has witnessed the global spread of two genetically related highly pathogenic coronaviruses, severe acute respiratory syndrome coronavirus (SARS-CoV) and SARS-CoV-2. However, the impact of these outbreaks differed significantly with respect to the hospitalizations and fatalities seen worldwide. While many studies have been performed recently on SARS-CoV-2, a comparative pathogenesis analysis with SARS-CoV may further provide critical insights into the mechanisms of disease that drive coronavirus-induced respiratory disease. In this review, we comprehensively describe clinical and experimental observations related to transmission and pathogenesis of SARS-CoV-2 in comparison with SARS-CoV, focusing on human, animal, and in vitro studies. By deciphering the similarities and disparities of SARS-CoV and SARS-CoV-2, in terms of transmission and pathogenesis mechanisms, we offer insights into the divergent characteristics of these two viruses. This information may also be relevant to assessing potential novel introductions of genetically related highly pathogenic coronaviruses.
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Affiliation(s)
- Jingshu Zhang
- Viroscience Department, Erasmus Medical Center, Rotterdam, The Netherlands;
| | - Melanie Rissmann
- Viroscience Department, Erasmus Medical Center, Rotterdam, The Netherlands;
| | - Thijs Kuiken
- Viroscience Department, Erasmus Medical Center, Rotterdam, The Netherlands;
| | - Bart L Haagmans
- Viroscience Department, Erasmus Medical Center, Rotterdam, The Netherlands;
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17
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Barnes JL, Yoshida M, He P, Worlock KB, Lindeboom RGH, Suo C, Pett JP, Wilbrey-Clark A, Dann E, Mamanova L, Richardson L, Polanski K, Pennycuick A, Allen-Hyttinen J, Herczeg IT, Arzili R, Hynds RE, Teixeira VH, Haniffa M, Lim K, Sun D, Rawlins EL, Oliver AJ, Lyons PA, Marioni JC, Ruhrberg C, Tuong ZK, Clatworthy MR, Reading JL, Janes SM, Teichmann SA, Meyer KB, Nikolić MZ. Early human lung immune cell development and its role in epithelial cell fate. Sci Immunol 2023; 8:eadf9988. [PMID: 38100545 PMCID: PMC7615868 DOI: 10.1126/sciimmunol.adf9988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Accepted: 11/03/2023] [Indexed: 12/17/2023]
Abstract
Studies of human lung development have focused on epithelial and mesenchymal cell types and function, but much less is known about the developing lung immune cells, even though the airways are a major site of mucosal immunity after birth. An unanswered question is whether tissue-resident immune cells play a role in shaping the tissue as it develops in utero. Here, we profiled human embryonic and fetal lung immune cells using scRNA-seq, smFISH, and immunohistochemistry. At the embryonic stage, we observed an early wave of innate immune cells, including innate lymphoid cells, natural killer cells, myeloid cells, and lineage progenitors. By the canalicular stage, we detected naive T lymphocytes expressing high levels of cytotoxicity genes and the presence of mature B lymphocytes, including B-1 cells. Our analysis suggests that fetal lungs provide a niche for full B cell maturation. Given the presence and diversity of immune cells during development, we also investigated their possible effect on epithelial maturation. We found that IL-1β drives epithelial progenitor exit from self-renewal and differentiation to basal cells in vitro. In vivo, IL-1β-producing myeloid cells were found throughout the lung and adjacent to epithelial tips, suggesting that immune cells may direct human lung epithelial development.
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Affiliation(s)
- Josephine L Barnes
- UCL Respiratory, Division of Medicine, University College London, London, UK
| | - Masahiro Yoshida
- UCL Respiratory, Division of Medicine, University College London, London, UK
- Division of Respiratory Diseases, Department of Internal Medicine, Jikei University School of Medicine, Tokyo, Japan
| | - Peng He
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge, UK
| | - Kaylee B Worlock
- UCL Respiratory, Division of Medicine, University College London, London, UK
| | - Rik G H Lindeboom
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
- Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Chenqu Suo
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - J Patrick Pett
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | | | - Emma Dann
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Lira Mamanova
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
- Enhanc3D Genomics Ltd, Cambridge, UK
| | - Laura Richardson
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | | | - Adam Pennycuick
- UCL Respiratory, Division of Medicine, University College London, London, UK
| | | | - Iván T Herczeg
- UCL Respiratory, Division of Medicine, University College London, London, UK
| | - Romina Arzili
- UCL Respiratory, Division of Medicine, University College London, London, UK
| | - Robert E Hynds
- Epithelial Cell Biology in ENT Research (EpiCENTR) Group, Developmental Biology and Cancer Department, Great Ormond Street UCL Institute of Child Health, University College London, London, UK
- CRUK Lung Cancer Centre Of Excellence, UCL Cancer Institute, University College London, London, UK
| | - Vitor H Teixeira
- UCL Respiratory, Division of Medicine, University College London, London, UK
| | - Muzlifah Haniffa
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
- Biosciences Institute, Newcastle University, Newcastle upon Tyne, UK
- Department of Dermatology and NIHR Newcastle Biomedical Research Centre, Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Kyungtae Lim
- Wellcome Trust/CRUK Gurdon Institute and Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
- Department of Life Sciences, Korea University, Seoul, Republic of Korea
| | - Dawei Sun
- Wellcome Trust/CRUK Gurdon Institute and Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - Emma L Rawlins
- Wellcome Trust/CRUK Gurdon Institute and Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - Amanda J Oliver
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Paul A Lyons
- Department of Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, Jeffrey Cheah Biomedical Centre, Cambridge Biomedical Campus, Cambridge, UK
| | - John C Marioni
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge, UK
- CRUK Cambridge Institute, University of Cambridge, Cambridge, UK
| | | | - Zewen Kelvin Tuong
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
- Department of Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- Ian Frazer Centre for Children's Immunotherapy Research, Child Health Research Centre, Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Menna R Clatworthy
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
- Department of Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
| | - James L Reading
- CRUK Lung Cancer Centre Of Excellence, UCL Cancer Institute, University College London, London, UK
- Tumour Immunodynamics and Interception Laboratory, Cancer Institute, University College London, London, UK
| | - Sam M Janes
- UCL Respiratory, Division of Medicine, University College London, London, UK
- CRUK Lung Cancer Centre Of Excellence, UCL Cancer Institute, University College London, London, UK
- University College London Hospitals NHS Foundation Trust, London, UK
| | - Sarah A Teichmann
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
- Department of Dermatology and NIHR Newcastle Biomedical Research Centre, Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
- Department of Physics/Cavendish Laboratory, University of Cambridge, Cambridge, UK
| | - Kerstin B Meyer
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Marko Z Nikolić
- UCL Respiratory, Division of Medicine, University College London, London, UK
- University College London Hospitals NHS Foundation Trust, London, UK
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18
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Welfley H, Kylat R, Zaghloul N, Halonen M, Martinez FD, Ahmed M, Cusanovich DA. Single-Cell Profiling of Premature Neonate Airways Reveals a Continuum of Myeloid Differentiation. Am J Respir Cell Mol Biol 2023; 69:689-697. [PMID: 37643399 PMCID: PMC10704120 DOI: 10.1165/rcmb.2022-0293oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 08/28/2023] [Indexed: 08/31/2023] Open
Abstract
Single-cell genomic technologies hold great potential to advance our understanding of lung development and disease. A major limitation lies in accessing intact cells from primary lung tissues for profiling human airway health. Sampling methods such as endotracheal aspiration that are compatible with clinical interventions could enable longitudinal studies, the enrollment of large cohorts, and the development of novel diagnostics. To explore single-cell RNA sequencing profiling of the cell types present at birth in the airway lumen of extremely premature neonates (<28 wk gestation), we isolated cells from endotracheal aspirates collected from intubated neonates within the first hour after birth. We generated data on 10 subjects, providing a rich view of airway luminal biology at a critical developmental period. Our results show that cells present in the airways of premature neonates primarily represent a continuum of myeloid differentiation, including fetal monocytes (25% of total), intermediate myeloid populations (48%), and macrophages (2.6%). Applying trajectory analysis to the myeloid populations, we identified two trajectories consistent with the developmental stages of interstitial and alveolar macrophages, as well as a third trajectory presenting an alternative pathway bridging the distinct macrophage precursors. The three trajectories share many dynamic genes (N = 5,451), but also have distinct transcriptional changes (259 alveolar-specific, 666 interstitial-specific, and 285 bridging-specific). Overall, our results define cells isolated within the so-called "golden hour of birth" in extremely premature neonate airways, representing complex lung biology, and can be used in studies of human development and disease.
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Affiliation(s)
| | - Ranjit Kylat
- Department of Pediatrics, Steele Children’s Research Center, University of Arizona College of Medicine, Tucson, Arizona
| | - Nahla Zaghloul
- Department of Pediatrics, Steele Children’s Research Center, University of Arizona College of Medicine, Tucson, Arizona
| | | | | | - Mohamed Ahmed
- Department of Pediatrics, Steele Children’s Research Center, University of Arizona College of Medicine, Tucson, Arizona
| | - Darren A. Cusanovich
- Asthma and Airway Disease Research Center and
- Department of Cellular and Molecular Medicine, University of Arizona, Tucson, Arizona; and
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19
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Long E, Yin J, Shin JH, Li Y, Kane A, Patel H, Luong T, Xia J, Han Y, Byun J, Zhang T, Zhao W, Landi MT, Rothman N, Lan Q, Chang YS, Yu F, Amos C, Shi J, Lee JG, Kim EY, Choi J. Context-aware single-cell multiome approach identified cell-type specific lung cancer susceptibility genes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.25.559336. [PMID: 37808664 PMCID: PMC10557605 DOI: 10.1101/2023.09.25.559336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
Genome-wide association studies (GWAS) identified over fifty loci associated with lung cancer risk. However, the genetic mechanisms and target genes underlying these loci are largely unknown, as most risk-associated-variants might regulate gene expression in a context-specific manner. Here, we generated a barcode-shared transcriptome and chromatin accessibility map of 117,911 human lung cells from age/sex-matched ever- and never-smokers to profile context-specific gene regulation. Accessible chromatin peak detection identified cell-type-specific candidate cis-regulatory elements (cCREs) from each lung cell type. Colocalization of lung cancer candidate causal variants (CCVs) with these cCREs prioritized the variants for 68% of the GWAS loci, a subset of which was also supported by transcription factor abundance and footprinting. cCRE colocalization and single-cell based trait relevance score nominated epithelial and immune cells as the main cell groups contributing to lung cancer susceptibility. Notably, cCREs of rare proliferating epithelial cell types, such as AT2-proliferating (0.13%) and basal cells (1.8%), overlapped with CCVs, including those in TERT. A multi-level cCRE-gene linking system identified candidate susceptibility genes from 57% of lung cancer loci, including those not detected in tissue- or cell-line-based approaches. cCRE-gene linkage uncovered that adjacent genes expressed in different cell types are correlated with distinct subsets of coinherited CCVs, including JAML and MPZL3 at the 11q23.3 locus. Our data revealed the cell types and contexts where the lung cancer susceptibility genes are functional.
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Affiliation(s)
- Erping Long
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Current affiliation: Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jinhu Yin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ju Hye Shin
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Yuyan Li
- Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Alexander Kane
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Harsh Patel
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Thong Luong
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jun Xia
- Department of Biomedical Sciences, Creighton University, Omaha, NE, USA
| | - Younghun Han
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Jinyoung Byun
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Tongwu Zhang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Wei Zhao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Yoon Soo Chang
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Fulong Yu
- Guangzhou National Laboratory, Guangzhou International Bio Island, Guangzhou, China
| | - Christopher Amos
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Jianxin Shi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jin Gu Lee
- Department of Thoracic and Cardiovascular Surgery, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Eun Young Kim
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jiyeon Choi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
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20
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Athaya T, Ripan RC, Li X, Hu H. Multimodal deep learning approaches for single-cell multi-omics data integration. Brief Bioinform 2023; 24:bbad313. [PMID: 37651607 PMCID: PMC10516349 DOI: 10.1093/bib/bbad313] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 06/23/2023] [Accepted: 07/18/2023] [Indexed: 09/02/2023] Open
Abstract
Integrating single-cell multi-omics data is a challenging task that has led to new insights into complex cellular systems. Various computational methods have been proposed to effectively integrate these rapidly accumulating datasets, including deep learning. However, despite the proven success of deep learning in integrating multi-omics data and its better performance over classical computational methods, there has been no systematic study of its application to single-cell multi-omics data integration. To fill this gap, we conducted a literature review to explore the use of multimodal deep learning techniques in single-cell multi-omics data integration, taking into account recent studies from multiple perspectives. Specifically, we first summarized different modalities found in single-cell multi-omics data. We then reviewed current deep learning techniques for processing multimodal data and categorized deep learning-based integration methods for single-cell multi-omics data according to data modality, deep learning architecture, fusion strategy, key tasks and downstream analysis. Finally, we provided insights into using these deep learning models to integrate multi-omics data and better understand single-cell biological mechanisms.
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Affiliation(s)
- Tasbiraha Athaya
- Department of Computer Science, University of Central Florida, Orlando, Florida, United States of America
| | - Rony Chowdhury Ripan
- Department of Computer Science, University of Central Florida, Orlando, Florida, United States of America
| | - Xiaoman Li
- Burnett School of Biomedical Science, College of Medicine, University of Central Florida, Orlando, Florida, United States of America
| | - Haiyan Hu
- Department of Computer Science, University of Central Florida, Orlando, Florida, United States of America
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21
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Guo M, Wikenheiser-Brokamp KA, Kitzmiller JA, Jiang C, Wang G, Wang A, Preissl S, Hou X, Buchanan J, Karolak JA, Miao Y, Frank DB, Zacharias WJ, Sun X, Xu Y, Gu M, Stankiewicz P, Kalinichenko VV, Wambach JA, Whitsett JA. Single Cell Multiomics Identifies Cells and Genetic Networks Underlying Alveolar Capillary Dysplasia. Am J Respir Crit Care Med 2023; 208:709-725. [PMID: 37463497 PMCID: PMC10515568 DOI: 10.1164/rccm.202210-2015oc] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 07/18/2023] [Indexed: 07/20/2023] Open
Abstract
Rationale: Alveolar capillary dysplasia with misalignment of pulmonary veins (ACDMPV) is a lethal developmental disorder of lung morphogenesis caused by insufficiency of FOXF1 (forkhead box F1) transcription factor function. The cellular and transcriptional mechanisms by which FOXF1 deficiency disrupts human lung formation are unknown. Objectives: To identify cell types, gene networks, and cell-cell interactions underlying the pathogenesis of ACDMPV. Methods: We used single-nucleus RNA and assay for transposase-accessible chromatin sequencing, immunofluorescence confocal microscopy, and RNA in situ hybridization to identify cell types and molecular networks influenced by FOXF1 in ACDMPV lungs. Measurements and Main Results: Pathogenic single-nucleotide variants and copy-number variant deletions involving the FOXF1 gene locus in all subjects with ACDMPV (n = 6) were accompanied by marked changes in lung structure, including deficient alveolar development and a paucity of pulmonary microvasculature. Single-nucleus RNA and assay for transposase-accessible chromatin sequencing identified alterations in cell number and gene expression in endothelial cells (ECs), pericytes, fibroblasts, and epithelial cells in ACDMPV lungs. Distinct cell-autonomous roles for FOXF1 in capillary ECs and pericytes were identified. Pathogenic variants involving the FOXF1 gene locus disrupt gene expression in EC progenitors, inhibiting the differentiation or survival of capillary 2 ECs and cell-cell interactions necessary for both pulmonary vasculogenesis and alveolar type 1 cell differentiation. Loss of the pulmonary microvasculature was associated with increased VEGFA (vascular endothelial growth factor A) signaling and marked expansion of systemic bronchial ECs expressing COL15A1 (collagen type XV α 1 chain). Conclusions: Distinct FOXF1 gene regulatory networks were identified in subsets of pulmonary endothelial and fibroblast progenitors, providing both cellular and molecular targets for the development of therapies for ACDMPV and other diffuse lung diseases of infancy.
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Affiliation(s)
- Minzhe Guo
- The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology
- Department of Pediatrics and
| | - Kathryn A. Wikenheiser-Brokamp
- The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology
- Division of Pathology and Laboratory Medicine
- Department of Pathology & Laboratory Medicine, College of Medicine, University of Cincinnati, Cincinnati, Ohio
| | - Joseph A. Kitzmiller
- The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology
| | - Cheng Jiang
- The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology
| | - Guolun Wang
- The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology
- Center for Lung Regenerative Medicine
| | - Allen Wang
- Center for Epigenomics & Department of Cellular & Molecular Medicine
| | - Sebastian Preissl
- Center for Epigenomics & Department of Cellular & Molecular Medicine
- Institute of Experimental and Clinical Pharmacology and Toxicology, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Xiaomeng Hou
- Center for Epigenomics & Department of Cellular & Molecular Medicine
| | - Justin Buchanan
- Center for Epigenomics & Department of Cellular & Molecular Medicine
| | - Justyna A. Karolak
- Department of Genetics and Pharmaceutical Microbiology, Poznan University of Medical Sciences, Poznan, Poland
| | - Yifei Miao
- The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology
- Division of Developmental Biology, and
- Center for Stem Cell and Organoid Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
- Department of Pediatrics and
| | - David B. Frank
- Penn-CHOP Lung Biology Institute and
- Penn Cardiovascular Institute, University of Pennsylvania, Philadelphia, Pennsylvania
- Division of Cardiology, Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - William J. Zacharias
- The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology
- Department of Pediatrics and
| | - Xin Sun
- Department of Pediatrics, and
- Department of Biological Sciences, University of California, San Diego, La Jolla, California
| | - Yan Xu
- The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology
- Division of Biomedical Informatics
- Department of Pediatrics and
| | - Mingxia Gu
- The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology
- Division of Developmental Biology, and
- Center for Stem Cell and Organoid Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
- Department of Pediatrics and
| | - Pawel Stankiewicz
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas; and
| | - Vladimir V. Kalinichenko
- The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology
- Center for Lung Regenerative Medicine
- Department of Pediatrics and
| | - Jennifer A. Wambach
- Edward Mallinckrodt Department of Pediatrics, Washington University School of Medicine and St. Louis Children’s Hospital, St. Louis, Missouri
| | - Jeffrey A. Whitsett
- The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology
- Department of Pediatrics and
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22
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Blutt SE, Coarfa C, Neu J, Pammi M. Multiomic Investigations into Lung Health and Disease. Microorganisms 2023; 11:2116. [PMID: 37630676 PMCID: PMC10459661 DOI: 10.3390/microorganisms11082116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 08/08/2023] [Accepted: 08/13/2023] [Indexed: 08/27/2023] Open
Abstract
Diseases of the lung account for more than 5 million deaths worldwide and are a healthcare burden. Improving clinical outcomes, including mortality and quality of life, involves a holistic understanding of the disease, which can be provided by the integration of lung multi-omics data. An enhanced understanding of comprehensive multiomic datasets provides opportunities to leverage those datasets to inform the treatment and prevention of lung diseases by classifying severity, prognostication, and discovery of biomarkers. The main objective of this review is to summarize the use of multiomics investigations in lung disease, including multiomics integration and the use of machine learning computational methods. This review also discusses lung disease models, including animal models, organoids, and single-cell lines, to study multiomics in lung health and disease. We provide examples of lung diseases where multi-omics investigations have provided deeper insight into etiopathogenesis and have resulted in improved preventative and therapeutic interventions.
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Affiliation(s)
- Sarah E. Blutt
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX 77030, USA;
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA;
| | - Cristian Coarfa
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA;
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Josef Neu
- Department of Pediatrics, Section of Neonatology, University of Florida, Gainesville, FL 32611, USA;
| | - Mohan Pammi
- Department of Pediatrics, Section of Neonatology, Baylor College of Medicine and Texas Children’s Hospital, Houston, TX 77030, USA
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23
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Graf K, Gustke A, Mösle M, Armann J, Schneider J, Schumm L, Roessner V, Beste C, Bluschke A. Preserved perception-action integration in adolescents after a COVID-19 infection. Sci Rep 2023; 13:13287. [PMID: 37587175 PMCID: PMC10432494 DOI: 10.1038/s41598-023-40534-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 08/11/2023] [Indexed: 08/18/2023] Open
Abstract
Evidence is accumulating that the Coronavirus disease (COVID-19) can bring forth deficits in executive functioning via alterations in the dopaminergic system. Importantly, dopaminergic pathways have been shown to modulate how actions and perceptions are integrated within the brain. Such alterations in event file binding could thus underlie the cognitive deficits developing after a COVID-19 infection. We examined action-perception integration in a group of young people (11-19 years of age) that had been infected with COVID-19 before study participation (n = 34) and compared them to a group of uninfected healthy controls (n = 29) on the behavioral (i.e., task accuracy, reaction time) and neurophysiological (EEG) level using an established event file binding paradigm. Groups did not differ from each other regarding demographic variables or in reporting psychiatric symptoms. Overall, multiple lines of evidence (behavioral and neurophysiological) suggest that action-perception integration is preserved in adolescents who suffered from COVID-19 prior to study participation. Event file binding processes were intact in both groups on all levels. While cognitive impairments can occur following a COVID-19 infection, the study demonstrates that action-perception integration as one of the basic building blocks of cognition seems to be largely unaffected in adolescents with a rather mild course of the disease.
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Affiliation(s)
- Katharina Graf
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Schubertstrasse 42, 01309, Dresden, Germany
- University Neuropsychology Center (UNC), Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Alena Gustke
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Schubertstrasse 42, 01309, Dresden, Germany
- University Neuropsychology Center (UNC), Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Mariella Mösle
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Schubertstrasse 42, 01309, Dresden, Germany
- University Neuropsychology Center (UNC), Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Jakob Armann
- Department of Paediatrics, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Josephine Schneider
- Department of Paediatrics, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Leonie Schumm
- Department of Paediatrics, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Veit Roessner
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Schubertstrasse 42, 01309, Dresden, Germany
| | - Christian Beste
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Schubertstrasse 42, 01309, Dresden, Germany.
- University Neuropsychology Center (UNC), Faculty of Medicine, TU Dresden, Dresden, Germany.
| | - Annet Bluschke
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Schubertstrasse 42, 01309, Dresden, Germany
- University Neuropsychology Center (UNC), Faculty of Medicine, TU Dresden, Dresden, Germany
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24
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Gaulton KJ, Preissl S, Ren B. Interpreting non-coding disease-associated human variants using single-cell epigenomics. Nat Rev Genet 2023; 24:516-534. [PMID: 37161089 PMCID: PMC10629587 DOI: 10.1038/s41576-023-00598-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/27/2023] [Indexed: 05/11/2023]
Abstract
Genome-wide association studies (GWAS) have linked hundreds of thousands of sequence variants in the human genome to common traits and diseases. However, translating this knowledge into a mechanistic understanding of disease-relevant biology remains challenging, largely because such variants are predominantly in non-protein-coding sequences that still lack functional annotation at cell-type resolution. Recent advances in single-cell epigenomics assays have enabled the generation of cell type-, subtype- and state-resolved maps of the epigenome in heterogeneous human tissues. These maps have facilitated cell type-specific annotation of candidate cis-regulatory elements and their gene targets in the human genome, enhancing our ability to interpret the genetic basis of common traits and diseases.
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Affiliation(s)
- Kyle J Gaulton
- Department of Paediatrics, Paediatric Diabetes Research Center, University of California San Diego School of Medicine, La Jolla, CA, USA.
| | - Sebastian Preissl
- Center for Epigenomics, University of California San Diego School of Medicine, La Jolla, CA, USA.
- Institute of Experimental and Clinical Pharmacology and Toxicology, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
| | - Bing Ren
- Center for Epigenomics, University of California San Diego School of Medicine, La Jolla, CA, USA.
- Department of Cellular and Molecular Medicine, University of California San Diego School of Medicine, La Jolla, CA, USA.
- Ludwig Institute for Cancer Research, La Jolla, CA, USA.
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25
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Guo M, Morley MP, Jiang C, Wu Y, Li G, Du Y, Zhao S, Wagner A, Cakar AC, Kouril M, Jin K, Gaddis N, Kitzmiller JA, Stewart K, Basil MC, Lin SM, Ying Y, Babu A, Wikenheiser-Brokamp KA, Mun KS, Naren AP, Clair G, Adkins JN, Pryhuber GS, Misra RS, Aronow BJ, Tickle TL, Salomonis N, Sun X, Morrisey EE, Whitsett JA, Xu Y. Guided construction of single cell reference for human and mouse lung. Nat Commun 2023; 14:4566. [PMID: 37516747 PMCID: PMC10387117 DOI: 10.1038/s41467-023-40173-5] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 07/13/2023] [Indexed: 07/31/2023] Open
Abstract
Accurate cell type identification is a key and rate-limiting step in single-cell data analysis. Single-cell references with comprehensive cell types, reproducible and functionally validated cell identities, and common nomenclatures are much needed by the research community for automated cell type annotation, data integration, and data sharing. Here, we develop a computational pipeline utilizing the LungMAP CellCards as a dictionary to consolidate single-cell transcriptomic datasets of 104 human lungs and 17 mouse lung samples to construct LungMAP single-cell reference (CellRef) for both normal human and mouse lungs. CellRefs define 48 human and 40 mouse lung cell types catalogued from diverse anatomic locations and developmental time points. We demonstrate the accuracy and stability of LungMAP CellRefs and their utility for automated cell type annotation of both normal and diseased lungs using multiple independent methods and testing data. We develop user-friendly web interfaces for easy access and maximal utilization of the LungMAP CellRefs.
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Affiliation(s)
- Minzhe Guo
- The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, 45229, USA.
- Department of Pediatrics, University of Cincinnati College of Medicine, 3230 Eden Avenue, Cincinnati, OH, 45267, USA.
| | - Michael P Morley
- Department of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Penn-CHOP Lung Biology Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Cell and Developmental Biology, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Cheng Jiang
- The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, 45229, USA
| | - Yixin Wu
- The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, 45229, USA
| | - Guangyuan Li
- Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, 45229, USA
| | - Yina Du
- The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, 45229, USA
| | - Shuyang Zhao
- The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, 45229, USA
| | - Andrew Wagner
- The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, 45229, USA
| | - Adnan Cihan Cakar
- The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, 45229, USA
| | - Michal Kouril
- Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, 45229, USA
| | - Kang Jin
- Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, 45229, USA
| | | | - Joseph A Kitzmiller
- The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, 45229, USA
| | - Kathleen Stewart
- Department of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Penn-CHOP Lung Biology Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Maria C Basil
- Department of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Penn-CHOP Lung Biology Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Susan M Lin
- Department of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Penn-CHOP Lung Biology Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Yun Ying
- Department of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Penn-CHOP Lung Biology Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Apoorva Babu
- Department of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Penn-CHOP Lung Biology Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Kathryn A Wikenheiser-Brokamp
- The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, 45229, USA
- Division of Pathology and Laboratory Medicine, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, 45229, USA
- Department of Pathology & Laboratory Medicine, University of Cincinnati College of Medicine, 3230 Eden Avenue, Cincinnati, OH, 45267, USA
| | - Kyu Shik Mun
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA
- Board of Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA
| | - Anjaparavanda P Naren
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA
| | - Geremy Clair
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA
| | - Joshua N Adkins
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA
| | - Gloria S Pryhuber
- Department of Pediatrics Division of Neonatology, University of Rochester Medical Center, Rochester, NY, 14642, USA
| | - Ravi S Misra
- Department of Pediatrics Division of Neonatology, University of Rochester Medical Center, Rochester, NY, 14642, USA
| | - Bruce J Aronow
- Department of Pediatrics, University of Cincinnati College of Medicine, 3230 Eden Avenue, Cincinnati, OH, 45267, USA
- Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, 45229, USA
| | - Timothy L Tickle
- Data Sciences Platform, The Broad Institute, Cambridge, MA, 02142, USA
| | - Nathan Salomonis
- Department of Pediatrics, University of Cincinnati College of Medicine, 3230 Eden Avenue, Cincinnati, OH, 45267, USA
- Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, 45229, USA
| | - Xin Sun
- Department of Pediatrics, University of California at San Diego, 9500 Gilman Dr., La Jolla, CA, 92093, USA
- Department of Biological Sciences, University of California at San Diego, 9500 Gilman Dr, La Jolla, CA, 92093, USA
| | - Edward E Morrisey
- Department of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Penn-CHOP Lung Biology Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Cell and Developmental Biology, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Jeffrey A Whitsett
- The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, 45229, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, 3230 Eden Avenue, Cincinnati, OH, 45267, USA
| | - Yan Xu
- The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, 45229, USA.
- Department of Pediatrics, University of Cincinnati College of Medicine, 3230 Eden Avenue, Cincinnati, OH, 45267, USA.
- Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, 45229, USA.
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26
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Liu X, Zhang X, Yao C, Liang J, Noble PW, Jiang D. A transcriptional cell atlas identifies the decline in the AT2 niche in aged human lungs. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.16.545378. [PMID: 37398304 PMCID: PMC10312782 DOI: 10.1101/2023.06.16.545378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Aging poses a global public health challenge, associated with molecular and physiological changes in the lungs. It increases susceptibility to acute and chronic lung diseases, yet the underlying molecular and cellular drivers in aged populations are not fully appreciated. To systematically profile the genetic changes associated with age, we present a single-cell transcriptional atlas comprising nearly half a million cells from the healthy lungs of human subjects spanning various ages, sexes, and smoking statuses. Most annotated cell lineages in aged lungs exhibit dysregulated genetic programs. Specifically, the aged alveolar epithelial cells, including both alveolar type II (AT2) and type I (AT1) cells, demonstrate loss of epithelial identities, heightened inflammaging characterized by increased expression of AP-1 transcription factor and chemokine genes, and significantly increased cellular senescence. Furthermore, the aged mesenchymal cells display a remarkable decrease in Collagen and Elastin transcription. The decline of the AT2 niche is further exacerbated by a weakened endothelial cell phenotype and a dysregulated genetic program in macrophages. These findings highlight the dysregulation observed in both AT2 stem cells and their supportive niche cells, potentially contributing to the increased susceptibility of aged populations to lung diseases.
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27
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Conchola AS, Frum T, Xiao Z, Hsu PP, Kaur K, Downey MS, Hein RFC, Miller AJ, Tsai YH, Wu A, Holloway EM, Anand A, Murthy PKL, Glass I, Tata PR, Spence JR. Regionally distinct progenitor cells in the lower airway give rise to neuroendocrine and multiciliated cells in the developing human lung. Proc Natl Acad Sci U S A 2023; 120:e2210113120. [PMID: 37279279 PMCID: PMC10268599 DOI: 10.1073/pnas.2210113120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 04/27/2023] [Indexed: 06/08/2023] Open
Abstract
Using scRNA-seq and microscopy, we describe a cell that is enriched in the lower airways of the developing human lung and identified by the unique coexpression of SCGB3A2/SFTPB/CFTR. To functionally interrogate these cells, we apply a single-cell barcode-based lineage tracing method, called CellTagging, to track the fate of SCGB3A2/SFTPB/CFTR cells during airway organoid differentiation in vitro. Lineage tracing reveals that these cells have a distinct differentiation potential from basal cells, giving rise predominantly to pulmonary neuroendocrine cells and a subset of multiciliated cells distinguished by high C6 and low MUC16 expression. Lineage tracing results are supported by studies using organoids and isolated cells from the lower noncartilaginous airway. We conclude that SCGB3A2/SFTPB/CFTR cells are enriched in the lower airways of the developing human lung and contribute to the epithelial diversity and heterogeneity in this region.
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Affiliation(s)
- Ansley S. Conchola
- Graduate Program in Cellular and Molecular Biology, University of Michigan Medical School, Ann Arbor, MI48109
| | - Tristan Frum
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, University of Michigan Medical School, Ann Arbor, MI48109
| | - Zhiwei Xiao
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, University of Michigan Medical School, Ann Arbor, MI48109
| | - Peggy P. Hsu
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, University of Michigan Medical School, Ann Arbor, MI48109
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI48109
| | - Kamika Kaur
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, University of Michigan Medical School, Ann Arbor, MI48109
| | - Michael S. Downey
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, University of Michigan Medical School, Ann Arbor, MI48109
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI48109
| | - Renee F. C. Hein
- Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI48109
| | - Alyssa J. Miller
- Graduate Program in Cellular and Molecular Biology, University of Michigan Medical School, Ann Arbor, MI48109
| | - Yu-Hwai Tsai
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, University of Michigan Medical School, Ann Arbor, MI48109
| | - Angeline Wu
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, University of Michigan Medical School, Ann Arbor, MI48109
| | - Emily M. Holloway
- Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI48109
| | - Abhinav Anand
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, University of Michigan Medical School, Ann Arbor, MI48109
| | | | - Ian Glass
- Department of Pediatrics, Genetic Medicine, University of Washington, Seattle, WA98195
| | | | - Jason R. Spence
- Graduate Program in Cellular and Molecular Biology, University of Michigan Medical School, Ann Arbor, MI48109
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, University of Michigan Medical School, Ann Arbor, MI48109
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI48109
- Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI48109
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28
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Sikkema L, Ramírez-Suástegui C, Strobl DC, Gillett TE, Zappia L, Madissoon E, Markov NS, Zaragosi LE, Ji Y, Ansari M, Arguel MJ, Apperloo L, Banchero M, Bécavin C, Berg M, Chichelnitskiy E, Chung MI, Collin A, Gay ACA, Gote-Schniering J, Hooshiar Kashani B, Inecik K, Jain M, Kapellos TS, Kole TM, Leroy S, Mayr CH, Oliver AJ, von Papen M, Peter L, Taylor CJ, Walzthoeni T, Xu C, Bui LT, De Donno C, Dony L, Faiz A, Guo M, Gutierrez AJ, Heumos L, Huang N, Ibarra IL, Jackson ND, Kadur Lakshminarasimha Murthy P, Lotfollahi M, Tabib T, Talavera-López C, Travaglini KJ, Wilbrey-Clark A, Worlock KB, Yoshida M, van den Berge M, Bossé Y, Desai TJ, Eickelberg O, Kaminski N, Krasnow MA, Lafyatis R, Nikolic MZ, Powell JE, Rajagopal J, Rojas M, Rozenblatt-Rosen O, Seibold MA, Sheppard D, Shepherd DP, Sin DD, Timens W, Tsankov AM, Whitsett J, Xu Y, Banovich NE, Barbry P, Duong TE, Falk CS, Meyer KB, Kropski JA, Pe'er D, Schiller HB, Tata PR, Schultze JL, Teichmann SA, Misharin AV, Nawijn MC, Luecken MD, Theis FJ. An integrated cell atlas of the lung in health and disease. Nat Med 2023; 29:1563-1577. [PMID: 37291214 PMCID: PMC10287567 DOI: 10.1038/s41591-023-02327-2] [Citation(s) in RCA: 120] [Impact Index Per Article: 120.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 03/30/2023] [Indexed: 06/10/2023]
Abstract
Single-cell technologies have transformed our understanding of human tissues. Yet, studies typically capture only a limited number of donors and disagree on cell type definitions. Integrating many single-cell datasets can address these limitations of individual studies and capture the variability present in the population. Here we present the integrated Human Lung Cell Atlas (HLCA), combining 49 datasets of the human respiratory system into a single atlas spanning over 2.4 million cells from 486 individuals. The HLCA presents a consensus cell type re-annotation with matching marker genes, including annotations of rare and previously undescribed cell types. Leveraging the number and diversity of individuals in the HLCA, we identify gene modules that are associated with demographic covariates such as age, sex and body mass index, as well as gene modules changing expression along the proximal-to-distal axis of the bronchial tree. Mapping new data to the HLCA enables rapid data annotation and interpretation. Using the HLCA as a reference for the study of disease, we identify shared cell states across multiple lung diseases, including SPP1+ profibrotic monocyte-derived macrophages in COVID-19, pulmonary fibrosis and lung carcinoma. Overall, the HLCA serves as an example for the development and use of large-scale, cross-dataset organ atlases within the Human Cell Atlas.
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Grants
- P50 AR080612 NIAMS NIH HHS
- R01 HL153375 NHLBI NIH HHS
- R01 HL127349 NHLBI NIH HHS
- U54 HL165443 NHLBI NIH HHS
- P01 HL107202 NHLBI NIH HHS
- U01 HL148856 NHLBI NIH HHS
- R21 HL156124 NHLBI NIH HHS
- U54 AG075931 NIA NIH HHS
- Wellcome Trust
- R01 HL146557 NHLBI NIH HHS
- R01 HL123766 NHLBI NIH HHS
- U01 HL148861 NHLBI NIH HHS
- R01 HL141852 NHLBI NIH HHS
- R01 ES034350 NIEHS NIH HHS
- UL1 TR001863 NCATS NIH HHS
- R01 HL126176 NHLBI NIH HHS
- R21 HL161760 NHLBI NIH HHS
- R01 HL145372 NHLBI NIH HHS
- P01 AG049665 NIA NIH HHS
- K12 HD105271 NICHD NIH HHS
- U19 AI135964 NIAID NIH HHS
- P30 CA008748 NCI NIH HHS
- R01 HL142568 NHLBI NIH HHS
- R01 HL153312 NHLBI NIH HHS
- U54 AG079754 NIA NIH HHS
- R56 HL157632 NHLBI NIH HHS
- R01 HL158139 NHLBI NIH HHS
- R01 HL135156 NHLBI NIH HHS
- R01 HL153045 NHLBI NIH HHS
- U54 HL145608 NHLBI NIH HHS
- P50 AR060780 NIAMS NIH HHS
- R01 HL128439 NHLBI NIH HHS
- R01 HL146519 NHLBI NIH HHS
- R01 HL117004 NHLBI NIH HHS
- R01 HL068702 NHLBI NIH HHS
- U01 HL145567 NHLBI NIH HHS
- P01 HL132821 NHLBI NIH HHS
- MR/R015635/1 Medical Research Council
- R01 MD010443 NIMHD NIH HHS
- Chan Zuckerberg Initiative, LLC Seed Network grant (CZF2019-002438) “Lung Cell Atlas 1.0” NIH 1U54HL145608-01 CZIF2022-007488 from the Chan Zuckerberg Initiative Foundation CZIF2022-007488 from the Chan Zuckerberg Initiative Foundation
- ESPOD fellowship of EMBL-EBI and Sanger Institute
- 3IA Cote d’Azur PhD program
- The Ministry of Economic Affairs and Climate Policy by means of the PPP
- EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020)
- Joachim Herz Stiftung (Joachim Herz Foundation)
- P50 AR060780-06A1
- University College London, Birkbeck MRC Doctoral Training Programme
- Jikei University School of Medicine (Jikei University)
- 5R01HL14254903, 4UH3CA25513503
- R01HL127349, R01HL141852, U01HL145567 and CZI
- MRC Clinician Scientist Fellowship (MR/W00111X/1)
- Chan Zuckerberg Initiative, LLC Seed Network grant (CZF2019-002438) “Lung Cell Atlas 1.0” 2R01HL068702
- R01 HL135156, R01 MD010443, R01 HL128439, P01 HL132821, P01 HL107202, R01 HL117004, and DOD Grant W81WH-16-2-0018
- HL142568 and HL14507 from the NHLBI
- Chan Zuckerberg Initiative, LLC Seed Network grant (CZF2019-002438) “Lung Cell Atlas 1.0”, 2R01HL068702
- Wellcome (WT211276/Z/18/Z) Sanger core grant WT206194 CZIF2022-007488 from the Chan Zuckerberg Initiative Foundation
- R21HL156124, R56HL157632, and R21HL161760
- CZI, 5U01HL148856
- CZI, 5U01HL148856, R01 HL153045
- U.S. Department of Defense (United States Department of Defense)
- The National Institute of Health R01HL145372
- Fondation pour la Recherche Médicale (Foundation for Medical Research in France)
- Conseil Départemental des Alpes Maritimes
- Inserm Cross-cutting Scientific Program HuDeCA 2018, ANR SAHARRA (ANR-19-CE14–0027), ANR-19-P3IA-0002–3IA, the National Infrastructure France Génomique (ANR-10-INBS-09-03), PPIA 4D-OMICS (21-ESRE-0052), and the Chan Zuckerberg Initiative, LLC Seed Network grant (CZF2019-002438) “Lung Cell Atlas 1.0”.
- Wellcome Trust (Wellcome)
- Sanger core grant WT206194 Chan Zuckerberg Initiative, LLC Seed Network grant (CZF2019-002438) “Lung Cell Atlas 1.0” CZIF2022-007488 from the Chan Zuckerberg Initiative Foundation
- Doris Duke Charitable Foundation (DDCF)
- The National Institute of Health R01HL145372 Department of Defense W81XWH-19-1-0416
- The National Institute of Health R01HL146557 and R01HL153375 and funds from Chan Zuckerberg Initiative - Human Lung Cell Atlas-pilot award
- 1U54HL145608-01
- CZI Deep Visual Proteomics
- 1U54HL145608-01, U01HL148861-03
- 1) the Chan Zuckerberg Initiative, LLC Seed Network grant CZF2019-002438 “Lung Cell Atlas 1.0”; 2) R01 HL153312; 3) U19 AI135964; 4) P01 AG049665
- Netherlands Lung Foundation project nos. 5.1.14.020 and 4.1.18.226, LLC Seed Network grant CZF2019-002438 “Lung Cell Atlas 1.0”
- grant number 2019-002438 from the Chan Zuckerberg Foundation, by the Helmholtz Association’s Initiative and Networking Fund through Helmholtz AI [ZT-I-PF-5-01] and by the Bavarian Ministry of Science and the Arts in the framework of the Bavarian Research Association “ForInter” (Interaction of human brain cells)
- 1 U01 HL14555-01, R01 HL123766-04
- NIH U54 AG075931, 5R01 HL146519
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Affiliation(s)
- Lisa Sikkema
- Department of Computational Health, Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany
- TUM School of Life Sciences, Technical University of Munich, Munich, Germany
| | - Ciro Ramírez-Suástegui
- Department of Computational Health, Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany
- La Jolla Institute for Allergy and Immunology, La Jolla, CA, USA
| | - Daniel C Strobl
- Department of Computational Health, Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany
- Institute of Clinical Chemistry and Pathobiochemistry, TUM School of Medicine, Technical University of Munich, Munich, Germany
| | - Tessa E Gillett
- Experimental Pulmonary and Inflammatory Research, Department of Pathology and Medical Biology, University Medical Centre Groningen, University of Groningen, Groningen, the Netherlands
- Groningen Research Institute for Asthma and COPD, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Luke Zappia
- Department of Computational Health, Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany
- Department of Mathematics, Technical University of Munich, Garching, Germany
| | | | - Nikolay S Markov
- Division of Pulmonary and Critical Care Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Laure-Emmanuelle Zaragosi
- Institut de Pharmacologie Moléculaire et Cellulaire, Université Côte d'Azur and Centre National de la Recherche Scientifique, Valbonne, France
| | - Yuge Ji
- Department of Computational Health, Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany
- TUM School of Life Sciences, Technical University of Munich, Munich, Germany
| | - Meshal Ansari
- Department of Computational Health, Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany
- Institute of Lung Health and Immunity (a member of the German Center for Lung Research) and Comprehensive Pneumology Center with the CPC-M bioArchive, Helmholtz Center Munich, Munich, Germany
| | - Marie-Jeanne Arguel
- Institut de Pharmacologie Moléculaire et Cellulaire, Université Côte d'Azur and Centre National de la Recherche Scientifique, Valbonne, France
| | - Leonie Apperloo
- Groningen Research Institute for Asthma and COPD, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- Department of Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Martin Banchero
- Groningen Research Institute for Asthma and COPD, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- Department of Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Christophe Bécavin
- Institut de Pharmacologie Moléculaire et Cellulaire, Université Côte d'Azur and Centre National de la Recherche Scientifique, Valbonne, France
| | - Marijn Berg
- Groningen Research Institute for Asthma and COPD, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- Department of Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | | | - Mei-I Chung
- Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Antoine Collin
- Institut de Pharmacologie Moléculaire et Cellulaire, Université Côte d'Azur and Centre National de la Recherche Scientifique, Valbonne, France
- 3IA Côte d'Azur, Nice, France
| | - Aurore C A Gay
- Groningen Research Institute for Asthma and COPD, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- Department of Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Janine Gote-Schniering
- Institute of Lung Health and Immunity (a member of the German Center for Lung Research) and Comprehensive Pneumology Center with the CPC-M bioArchive, Helmholtz Center Munich, Munich, Germany
| | - Baharak Hooshiar Kashani
- Institute of Lung Health and Immunity (a member of the German Center for Lung Research) and Comprehensive Pneumology Center with the CPC-M bioArchive, Helmholtz Center Munich, Munich, Germany
| | - Kemal Inecik
- Department of Computational Health, Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany
- TUM School of Life Sciences, Technical University of Munich, Munich, Germany
| | - Manu Jain
- Division of Pulmonary and Critical Care Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Theodore S Kapellos
- Institute of Lung Health and Immunity (a member of the German Center for Lung Research) and Comprehensive Pneumology Center with the CPC-M bioArchive, Helmholtz Center Munich, Munich, Germany
- Department of Genomics and Immunoregulation, Life and Medical Sciences Institute, University of Bonn, Bonn, Germany
| | - Tessa M Kole
- Groningen Research Institute for Asthma and COPD, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- Department of Pulmonary Diseases, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Sylvie Leroy
- Pulmonology Department, Fédération Hospitalo-Universitaire OncoAge, Centre Hospitalier Universitaire de Nice, Université Côte d'Azur, Nice, France
| | - Christoph H Mayr
- Institute of Lung Health and Immunity (a member of the German Center for Lung Research) and Comprehensive Pneumology Center with the CPC-M bioArchive, Helmholtz Center Munich, Munich, Germany
| | | | | | - Lance Peter
- Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Chase J Taylor
- Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Chuan Xu
- Wellcome Sanger Institute, Hinxton, Cambridge, UK
| | - Linh T Bui
- Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Carlo De Donno
- Department of Computational Health, Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany
| | - Leander Dony
- Department of Computational Health, Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany
- TUM School of Life Sciences, Technical University of Munich, Munich, Germany
- Department of Translational Psychiatry, Max Planck Institute of Psychiatry and International Max Planck Research School for Translational Psychiatry, Munich, Germany
| | - Alen Faiz
- Groningen Research Institute for Asthma and COPD, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- School of Life Sciences, Respiratory Bioinformatics and Molecular Biology, University of Technology Sydney, Sydney, Australia
| | - Minzhe Guo
- Division of Neonatology and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, US
| | | | - Lukas Heumos
- Department of Computational Health, Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany
- TUM School of Life Sciences, Technical University of Munich, Munich, Germany
- Institute of Lung Health and Immunity (a member of the German Center for Lung Research) and Comprehensive Pneumology Center with the CPC-M bioArchive, Helmholtz Center Munich, Munich, Germany
| | - Ni Huang
- Wellcome Sanger Institute, Hinxton, Cambridge, UK
| | - Ignacio L Ibarra
- Department of Computational Health, Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany
| | - Nathan D Jackson
- Center for Genes, Environment, and Health, National Jewish Health, Denver, CO, USA
| | - Preetish Kadur Lakshminarasimha Murthy
- Department of Cell Biology, Duke University School of Medicine, Durham, NC, USA
- Department of Pharmacology and Regenerative Medicine, University of Illinois Chicago, Chicago, IL, USA
| | - Mohammad Lotfollahi
- Department of Computational Health, Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany
- Wellcome Sanger Institute, Hinxton, Cambridge, UK
| | - Tracy Tabib
- Division of Rheumatology and Clinical Immunology, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Carlos Talavera-López
- Department of Computational Health, Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany
- Division of Infectious Diseases and Tropical Medicine, Klinikum der Lüdwig-Maximilians-Universität, Munich, Germany
| | - Kyle J Travaglini
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Kaylee B Worlock
- Department of Respiratory Medicine, Division of Medicine, University College London, London, UK
| | - Masahiro Yoshida
- Department of Respiratory Medicine, Division of Medicine, University College London, London, UK
| | - Maarten van den Berge
- Groningen Research Institute for Asthma and COPD, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- Department of Pulmonary Diseases, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Yohan Bossé
- Institut Universitaire de Cardiologie et de Pneumologie de Québec, Department of Molecular Medicine, Laval University, Quebec City, Quebec, Canada
| | - Tushar J Desai
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Oliver Eickelberg
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Naftali Kaminski
- Pulmonary, Critical Care and Sleep Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Mark A Krasnow
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Robert Lafyatis
- Division of Rheumatology and Clinical Immunology, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Marko Z Nikolic
- Department of Respiratory Medicine, Division of Medicine, University College London, London, UK
| | - Joseph E Powell
- Garvan Institute of Medical Research, Sydney, New South Wales, Australia
- Cellular Genomics Futures Institute, University of New South Wales, Sydney, New South Wales, Australia
| | - Jayaraj Rajagopal
- Center for Regenerative Medicine, Massachusetts General Hospital, Harvard Medical School, Cambridge, MA, USA
| | - Mauricio Rojas
- Department of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, The Ohio State University, Columbus, OH, USA
| | - Orit Rozenblatt-Rosen
- Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Cellular and Tissue Genomics, Genentech, South San Francisco, CA, USA
| | - Max A Seibold
- Center for Genes, Environment, and Health, National Jewish Health, Denver, CO, USA
- Department of Pediatrics, National Jewish Health, Denver, CO, USA
- Division of Pulmonary Sciences and Critical Care Medicine, University of Colorado School of Medicine, Aurora, CO, USA
| | - Dean Sheppard
- Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Douglas P Shepherd
- Department of Physics and Center for Biological Physics, Arizona State University, Tempe, AZ, USA
| | - Don D Sin
- Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - Wim Timens
- Groningen Research Institute for Asthma and COPD, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- Department of Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Alexander M Tsankov
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jeffrey Whitsett
- Division of Neonatology and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Yan Xu
- Division of Neonatology and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | | | - Pascal Barbry
- Institut de Pharmacologie Moléculaire et Cellulaire, Université Côte d'Azur and Centre National de la Recherche Scientifique, Valbonne, France
- 3IA Côte d'Azur, Nice, France
| | - Thu Elizabeth Duong
- Department of Pediatrics, Division of Respiratory Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Christine S Falk
- Institute for Transplant Immunology, Hannover Medical School, Hannover, Germany
| | | | - Jonathan A Kropski
- Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Cell and Developmental Biology, Vanderbilt University, Nashville, TN, USA
| | - Dana Pe'er
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
- Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Herbert B Schiller
- Institute of Lung Health and Immunity (a member of the German Center for Lung Research) and Comprehensive Pneumology Center with the CPC-M bioArchive, Helmholtz Center Munich, Munich, Germany
| | | | - Joachim L Schultze
- Department of Genomics and Immunoregulation, Life and Medical Sciences Institute, University of Bonn, Bonn, Germany
- PRECISE Platform for Single Cell Genomics and Epigenomics, Deutsches Zentrum für Neurodegenerative Erkrankungen and University of Bonn, Bonn, Germany
| | - Sara A Teichmann
- Wellcome Sanger Institute, Hinxton, Cambridge, UK
- Department of Physics, Cavendish Laboratory, University of Cambridge, Cambridge, UK
| | - Alexander V Misharin
- Division of Pulmonary and Critical Care Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Martijn C Nawijn
- Groningen Research Institute for Asthma and COPD, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- Department of Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Malte D Luecken
- Department of Computational Health, Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany.
- Institute of Lung Health and Immunity (a member of the German Center for Lung Research) and Comprehensive Pneumology Center with the CPC-M bioArchive, Helmholtz Center Munich, Munich, Germany.
| | - Fabian J Theis
- Department of Computational Health, Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany.
- TUM School of Life Sciences, Technical University of Munich, Munich, Germany.
- Department of Mathematics, Technical University of Munich, Garching, Germany.
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29
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Adimulam T, Arumugam T, Gokul A, Ramsuran V. Genetic Variants within SARS-CoV-2 Human Receptor Genes May Contribute to Variable Disease Outcomes in Different Ethnicities. Int J Mol Sci 2023; 24:ijms24108711. [PMID: 37240057 DOI: 10.3390/ijms24108711] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 05/10/2023] [Accepted: 05/11/2023] [Indexed: 05/28/2023] Open
Abstract
The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has evolved into a global pandemic, with an alarming infectivity and mortality rate. Studies have examined genetic effects on SARS-CoV-2 disease susceptibility and severity within Eurasian populations. These studies identified contrasting effects on the severity of disease between African populations. Genetic factors can explain some of the diversity observed within SARS-CoV-2 disease susceptibility and severity. Single nucleotide polymorphisms (SNPs) within the SARS-CoV-2 receptor genes have demonstrated detrimental and protective effects across ethnic groups. For example, the TT genotype of rs2285666 (Angiotensin-converting enzyme 2 (ACE2)) is associated with the severity of SARS-CoV-2 disease, which is found at higher frequency within Asian individuals compared to African and European individuals. In this study, we examined four SARS-CoV-2 receptors, ACE2, Transmembrane serine protease 2 (TMPRSS2), Neuropilin-1 (NRP1), and Basigin (CD147). A total of 42 SNPs located within the four receptors were reviewed: ACE2 (12), TMPRSS2 (10), BSG (CD147) (5), and NRP1 (15). These SNPs may be determining factors for the decreased disease severity observed within African individuals. Furthermore, we highlight the absence of genetic studies within the African population and emphasize the importance of further research. This review provides a comprehensive summary of specific variants within the SARS-CoV-2 receptor genes, which can offer a better understanding of the pathology of the SARS-CoV-2 pandemic and identify novel potential therapeutic targets.
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Affiliation(s)
- Theolan Adimulam
- School of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban 4041, South Africa
| | - Thilona Arumugam
- School of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban 4041, South Africa
| | - Anmol Gokul
- School of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban 4041, South Africa
| | - Veron Ramsuran
- School of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban 4041, South Africa
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban 4041, South Africa
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30
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Abstract
From the onset of the pandemic, evidence of cardiac involvement in acute COVID-19 abounded. Cardiac presentations ranged from arrhythmias to ischemia, myopericarditis/myocarditis, ventricular dysfunction to acute heart failure, and even cardiogenic shock. Elevated serum cardiac troponin levels were prevalent among hospitalized patients with COVID-19; the higher the magnitude of troponin elevation, the greater the COVID-19 illness severity and in-hospital death risk. Whether these consequences were due to direct SARS-CoV-2 infection of cardiac cells or secondary to inflammatory responses steered early cardiac autopsy studies. SARS-CoV-2 was reportedly detected in endothelial cells, cardiac myocytes, and within the extracellular space. However, findings were inconsistent and different methodologies had their limitations. Initial autopsy reports suggested that SARS-CoV-2 myocarditis was common, setting off studies to find and phenotype inflammatory infiltrates in the heart. Nonetheless, subsequent studies rarely detected myocarditis. Microthrombi, cardiomyocyte necrosis, and inflammatory infiltrates without cardiomyocyte damage were much more common. In vitro and ex vivo experimental platforms have assessed the cellular tropism of SARS-CoV-2 and elucidated mechanisms of viral entry into and replication within cardiac cells. Data point to pericytes as the primary target of SARS-CoV-2 in the heart. Infection of pericytes can account for the observed pericyte and endothelial cell death, innate immune response, and immunothrombosis commonly observed in COVID-19 hearts. These processes are bidirectional and synergistic, rendering a definitive order of events elusive. Single-cell/nucleus analyses of COVID-19 myocardial tissue and isolated cardiac cells have provided granular data about the cellular composition and cell type-specific transcriptomic signatures of COVID-19 and microthrombi-positive COVID-19 hearts. Still, much remains unknown and more in vivo studies are needed. This review seeks to provide an overview of the current understanding of COVID-19 cardiac pathophysiology. Cell type-specific mechanisms and the studies that provided such insights will be highlighted. Given the unprecedented pace of COVID-19 research, more mechanistic details are sure to emerge since the writing of this review. Importantly, our current knowledge offers significant clues about the cardiac pathophysiology of long COVID-19, the increased postrecovery risk of cardiac events, and thus, the future landscape of cardiovascular disease.
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Affiliation(s)
- Emily J Tsai
- Division of Cardiology, Columbia University Vagelos College of Physicians & Surgeons, New York, NY (E.J.T.)
| | - Daniela Cˇiháková
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD (D.C.)
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31
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Poirion OB, Zuo W, Spruce C, Daigle SL, Olson A, Skelly DA, Chesler EJ, Baker CL, White BS. Enhlink infers distal and context-specific enhancer-promoter linkages. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.11.540453. [PMID: 37214950 PMCID: PMC10197707 DOI: 10.1101/2023.05.11.540453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Enhancers play a crucial role in regulating gene expression and their functional status can be queried with cell type precision using using single-cell (sc)ATAC-seq. To facilitate analysis of such data, we developed Enhlink, a novel computational approach that leverages single-cell signals to infer linkages between regulatory DNA sequences, such as enhancers and promoters. Enhlink uses an ensemble strategy that integrates cell-level technical covariates to control for batch effects and biological covariates to infer robust condition-specific links and their associated p-values. It can integrate simultaneous gene expression and chromatin accessibility measurements of individual cells profiled by multi-omic experiments for increased specificity. We evaluated Enhlink using simulated and real scATAC-seq data, including those paired with physical enhancer-promoter links enumerated by promoter capture Hi-C and with multi-omic scATAC-/RNA-seq data we generated from the mouse striatum. These examples demonstrated that our method outperforms popular alternative strategies. In conjunction with eQTL analysis, Enhlink revealed a putative super-enhancer regulating key cell type-specific markers of striatal neurons. Taken together, our analyses demonstrate that Enhlink is accurate, powerful, and provides features that can lead to novel biological insights.
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Affiliation(s)
| | - Wulin Zuo
- The Jackson Laboratory, Bar Harbor, ME, USA
| | | | | | - Ashley Olson
- The Jackson Laboratory, Bar Harbor, ME, USA
- Center for Systems Neurogenetics of Addiction at The Jackson Laboratory, Bar Harbor, ME, USA
| | | | - Elissa J Chesler
- The Jackson Laboratory, Bar Harbor, ME, USA
- Center for Systems Neurogenetics of Addiction at The Jackson Laboratory, Bar Harbor, ME, USA
| | - Christopher L Baker
- The Jackson Laboratory, Bar Harbor, ME, USA
- Center for Systems Neurogenetics of Addiction at The Jackson Laboratory, Bar Harbor, ME, USA
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32
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Yan D, Sun Z, Fang J, Cao S, Wang W, Chang X, Badirli S, Fu H, Liu Y. scRAA: the development of a robust and automatic annotation procedure for single-cell RNA sequencing data. J Biopharm Stat 2023:1-14. [PMID: 37162278 DOI: 10.1080/10543406.2023.2208671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
A critical task in single-cell RNA sequencing (scRNA-Seq) data analysis is to identify cell types from heterogeneous tissues. While the majority of classification methods demonstrated high performance in scRNA-Seq annotation problems, a robust and accurate solution is desired to generate reliable outcomes for downstream analyses, for instance, marker genes identification, differentially expressed genes, and pathway analysis. It is hard to establish a universally good metric. Thus, a universally good classification method for all kinds of scenarios does not exist. In addition, reference and query data in cell classification are usually from different experimental batches, and failure to consider batch effects may result in misleading conclusions. To overcome this bottleneck, we propose a robust ensemble approach to classify cells and utilize a batch correction method between reference and query data. We simulated four scenarios that comprise simple to complex batch effect and account for varying cell-type proportions. We further tested our approach on both lung and pancreas data. We found improved prediction accuracy and robust performance across simulation scenarios and real data. The incorporation of batch effect correction between reference and query, and the ensemble approach improve cell-type prediction accuracy while maintaining robustness. We demonstrated these through simulated and real scRNA-Seq data.
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Affiliation(s)
- Dongyan Yan
- Global Statistical Science, Eli Lilly & Co, Indianapolis, Indiana, USA
| | - Zhe Sun
- Global Statistical Science, Eli Lilly & Co, Indianapolis, Indiana, USA
| | - Jiyuan Fang
- Global Statistical Science, Eli Lilly & Co, Indianapolis, Indiana, USA
| | - Shanshan Cao
- Global Statistical Science, Eli Lilly & Co, Indianapolis, Indiana, USA
| | - Wenjie Wang
- Advance Analytics and Data Science, Eli Lilly & Co, Indianapolis, Indiana, USA
| | - Xinyue Chang
- Advance Analytics and Data Science, Eli Lilly & Co, Indianapolis, Indiana, USA
| | - Sarkhan Badirli
- Advance Analytics and Data Science, Eli Lilly & Co, Indianapolis, Indiana, USA
| | - Haoda Fu
- Advance Analytics and Data Science, Eli Lilly & Co, Indianapolis, Indiana, USA
| | - Yushi Liu
- Global Statistical Science, Eli Lilly & Co, Indianapolis, Indiana, USA
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33
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Olatoke T, Wagner A, Astrinidis A, Zhang EY, Guo M, Zhang AG, Mattam U, Kopras EJ, Gupta N, Smith EP, Karbowniczek M, Markiewski MM, Wikenheiser-Brokamp KA, Whitsett JA, McCormack FX, Xu Y, Yu JJ. Single-cell multiomic analysis identifies a HOX-PBX gene network regulating the survival of lymphangioleiomyomatosis cells. SCIENCE ADVANCES 2023; 9:eadf8549. [PMID: 37163604 PMCID: PMC10171823 DOI: 10.1126/sciadv.adf8549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 04/07/2023] [Indexed: 05/12/2023]
Abstract
Lymphangioleiomyomatosis (LAM) is a rare, progressive lung disease that predominantly affects women. LAM cells carry TSC1/TSC2 mutations, causing mTORC1 hyperactivation and uncontrolled cell growth. mTORC1 inhibitors stabilize lung function; however, sustained efficacy requires long-term administration, and some patients fail to tolerate or respond to therapy. Although the genetic basis of LAM is known, mechanisms underlying LAM pathogenesis remain elusive. We integrated single-cell RNA sequencing and single-nuclei ATAC-seq of LAM lungs to construct a gene regulatory network controlling the transcriptional program of LAM cells. We identified activation of uterine-specific HOX-PBX transcriptional programs in pulmonary LAMCORE cells as regulators of cell survival depending upon HOXD11-PBX1 dimerization. Accordingly, blockage of HOXD11-PBX1 dimerization by HXR9 suppressed LAM cell survival in vitro and in vivo. PBX1 regulated STAT1/3, increased the expression of antiapoptotic genes, and promoted LAM cell survival in vitro. The HOX-PBX gene network provides promising targets for treatment of LAM/TSC mTORC1-hyperactive cancers.
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Affiliation(s)
- Tasnim Olatoke
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, University of Cincinnati, Cincinnati, OH 45267, USA
| | - Andrew Wagner
- Division of Pulmonary Biology, Perinatal Institute, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Aristotelis Astrinidis
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, University of Cincinnati, Cincinnati, OH 45267, USA
| | - Erik Y. Zhang
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, University of Cincinnati, Cincinnati, OH 45267, USA
| | - Minzhe Guo
- Division of Pulmonary Biology, Perinatal Institute, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA
| | - Alan G. Zhang
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, University of Cincinnati, Cincinnati, OH 45267, USA
| | - Ushodaya Mattam
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, University of Cincinnati, Cincinnati, OH 45267, USA
| | - Elizabeth J. Kopras
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, University of Cincinnati, Cincinnati, OH 45267, USA
| | - Nishant Gupta
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, University of Cincinnati, Cincinnati, OH 45267, USA
| | - Eric P. Smith
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, University of Cincinnati, Cincinnati, OH 45267, USA
| | - Magdalena Karbowniczek
- Department of Immunotherapeutics and Biotechnology, Jerry H. Hodge School of Pharmacy, Texas Tech University Health Sciences Center, Abilene, TX 79601, USA
| | - Maciej M. Markiewski
- Department of Immunotherapeutics and Biotechnology, Jerry H. Hodge School of Pharmacy, Texas Tech University Health Sciences Center, Abilene, TX 79601, USA
| | - Kathryn A. Wikenheiser-Brokamp
- Division of Pathology and Laboratory Medicine, Perinatal Institute, Division of Pulmonary Biology, Division of Pulmonary Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA
- Department of Pathology and Laboratory Medicine, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA
| | - Jeffrey A. Whitsett
- Division of Pulmonary Biology, Perinatal Institute, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA
| | - Francis X. McCormack
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, University of Cincinnati, Cincinnati, OH 45267, USA
| | - Yan Xu
- Division of Pulmonary Biology, Perinatal Institute, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA
- Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Jane J. Yu
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, University of Cincinnati, Cincinnati, OH 45267, USA
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34
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Blackburn JB, Li NF, Bartlett NW, Richmond BW. An update in club cell biology and its potential relevance to chronic obstructive pulmonary disease. Am J Physiol Lung Cell Mol Physiol 2023; 324:L652-L665. [PMID: 36942863 PMCID: PMC10110710 DOI: 10.1152/ajplung.00192.2022] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 03/10/2023] [Accepted: 03/16/2023] [Indexed: 03/23/2023] Open
Abstract
Club cells are found in human small airways where they play an important role in immune defense, xenobiotic metabolism, and repair after injury. Over the past few years, data from single-cell RNA sequencing (scRNA-seq) studies has generated new insights into club cell heterogeneity and function. In this review, we integrate findings from scRNA-seq experiments with earlier in vitro, in vivo, and microscopy studies and highlight the many ways club cells contribute to airway homeostasis. We then discuss evidence for loss of club cells or club cell products in the airways of patients with chronic obstructive pulmonary disease (COPD) and discuss potential mechanisms through which this might occur.
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Affiliation(s)
- Jessica B Blackburn
- Department of Veterans Affairs Medical Center, Nashville, Tennessee, United States
- Division of Allergy, Pulmonary, and Critical Care Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, United States
| | - Ngan Fung Li
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, Texas, United States
| | - Nathan W Bartlett
- Viral Immunology and Respiratory Disease Group, University of Newcastle, Callaghan, New South Wales, Australia
| | - Bradley W Richmond
- Department of Veterans Affairs Medical Center, Nashville, Tennessee, United States
- Division of Allergy, Pulmonary, and Critical Care Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, United States
- Department of Cell and Developmental Biology, Vanderbilt University, Nashville, Tennessee, United States
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35
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Moon Y. Gut distress and intervention via communications of SARS-CoV-2 with mucosal exposome. Front Public Health 2023; 11:1098774. [PMID: 37139365 PMCID: PMC10150023 DOI: 10.3389/fpubh.2023.1098774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 03/27/2023] [Indexed: 05/05/2023] Open
Abstract
Acute coronavirus disease 2019 (COVID-19) has been associated with prevalent gastrointestinal distress, characterized by fecal shedding of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA or persistent antigen presence in the gut. Using a meta-analysis, the present review addressed gastrointestinal symptoms, such as nausea, vomiting, abdominal pain, and diarrhea. Despite limited data on the gut-lung axis, viral transmission to the gut and its influence on gut mucosa and microbial community were found to be associated by means of various biochemical mechanisms. Notably, the prolonged presence of viral antigens and disrupted mucosal immunity may increase gut microbial and inflammatory risks, leading to acute pathological outcomes or post-acute COVID-19 symptoms. Patients with COVID-19 exhibit lower bacterial diversity and a higher relative abundance of opportunistic pathogens in their gut microbiota than healthy controls. Considering the dysbiotic changes during infection, remodeling or supplementation with beneficial microbial communities may counteract adverse outcomes in the gut and other organs in patients with COVID-19. Moreover, nutritional status, such as vitamin D deficiency, has been associated with disease severity in patients with COVID-19 via the regulation of the gut microbial community and host immunity. The nutritional and microbiological interventions improve the gut exposome including the host immunity, gut microbiota, and nutritional status, contributing to defense against acute or post-acute COVID-19 in the gut-lung axis.
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Affiliation(s)
- Yuseok Moon
- Laboratory of Mucosal Exposome and Biomodulation, Department of Integrative Biomedical Sciences, Pusan National University, Yangsan-si, Republic of Korea
- Biomedical Research Institute, Pusan National University, Busan, Republic of Korea
- Graduate Program of Genomic Data Sciences, Pusan National University, Yangsan-si, Republic of Korea
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36
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Minor BMN, LeMoine D, Seger C, Gibbons E, Koudouovoh J, Taya M, Kurtz D, Xu Y, Hammes SR. Estradiol Augments Tumor-Induced Neutrophil Production to Promote Tumor Cell Actions in Lymphangioleiomyomatosis Models. Endocrinology 2023; 164:bqad061. [PMID: 37042477 PMCID: PMC10164661 DOI: 10.1210/endocr/bqad061] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 03/30/2023] [Accepted: 04/10/2023] [Indexed: 04/13/2023]
Abstract
Lymphangioleiomyomatosis (LAM) is a rare cystic lung disease caused by smooth muscle cell-like tumors containing tuberous sclerosis (TSC) gene mutations and found almost exclusively in females. Patient studies suggest LAM progression is estrogen dependent, an observation supported by in vivo mouse models. However, in vitro data using TSC-null cell lines demonstrate modest estradiol (E2) responses, suggesting E2 effects in vivo may involve pathways independent of direct tumor stimulation. We previously reported tumor-dependent neutrophil expansion and promotion of TSC2-null tumor growth in an E2-sensitive LAM mouse model. We therefore hypothesized that E2 stimulates tumor growth in part by promoting neutrophil production. Here we report that E2-enhanced lung colonization of TSC2-null cells is indeed dependent on neutrophils. We demonstrate that E2 induces granulopoiesis via estrogen receptor α in male and female bone marrow cultures. With our novel TSC2-null mouse myometrial cell line, we show that factors released from these cells drive E2-sensitive neutrophil production. Last, we analyzed single-cell RNA sequencing data from LAM patients and demonstrate the presence of tumor-activated neutrophils. Our data suggest a powerful positive feedback loop whereby E2 and tumor factors induce neutrophil expansion, which in turn intensifies tumor growth and production of neutrophil-stimulating factors, resulting in continued TSC2-null tumor growth.
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Affiliation(s)
- Briaunna M N Minor
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Rochester Medical Center, Rochester, NY 14642, USA
- Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Dana LeMoine
- Division of Comparative Medicine, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Christina Seger
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Erin Gibbons
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Rochester Medical Center, Rochester, NY 14642, USA
- Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Jules Koudouovoh
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Manisha Taya
- Division of Hematology and Oncology, Department of Internal Medicine, UTSW Medical Center, Dallas, TX 75390, USA
| | - Daniel Kurtz
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Yan Xu
- Divisions of Pulmonary Biology & Biomedical Informatics, University of Cincinnati College of Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Stephen R Hammes
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Rochester Medical Center, Rochester, NY 14642, USA
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37
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Rosado-Olivieri EA, Razooky B, Le Pen J, De Santis R, Barrows D, Sabry Z, Hoffmann HH, Park J, Carroll TS, Poirier JT, Rice CM, Brivanlou AH. Organotypic human lung bud microarrays identify BMP-dependent SARS-CoV-2 infection in lung cells. Stem Cell Reports 2023; 18:1107-1122. [PMID: 37084725 PMCID: PMC10116630 DOI: 10.1016/j.stemcr.2023.03.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 03/23/2023] [Accepted: 03/24/2023] [Indexed: 04/23/2023] Open
Abstract
Although lung disease is the primary clinical outcome in COVID-19 patients, how SARS-CoV-2 induces lung pathology remains elusive. Here we describe a high-throughput platform to generate self-organizing and commensurate human lung buds derived from hESCs cultured on micropatterned substrates. Lung buds resemble human fetal lungs and display proximodistal patterning of alveolar and airway tissue directed by KGF. These lung buds are susceptible to infection by SARS-CoV-2 and endemic coronaviruses and can be used to track cell type-specific cytopathic effects in hundreds of lung buds in parallel. Transcriptomic comparisons of infected lung buds and postmortem tissue of COVID-19 patients identified an induction of BMP signaling pathway. BMP activity renders lung cells more susceptible to SARS-CoV-2 infection and its pharmacological inhibition impairs infection by this virus. These data highlight the rapid and scalable access to disease-relevant tissue using lung buds that recapitulate key features of human lung morphogenesis and viral infection biology.
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Affiliation(s)
- E A Rosado-Olivieri
- Laboratory of Synthetic Embryology, the Rockefeller University, New York, NY, USA
| | - B Razooky
- Laboratory of Virology and Infectious Diseases, the Rockefeller University, New York, NY, USA
| | - J Le Pen
- Laboratory of Virology and Infectious Diseases, the Rockefeller University, New York, NY, USA
| | - R De Santis
- Laboratory of Synthetic Embryology, the Rockefeller University, New York, NY, USA
| | - D Barrows
- Bioinformatics Resource Center, the Rockefeller University, New York, NY, USA
| | - Z Sabry
- Laboratory of Synthetic Embryology, the Rockefeller University, New York, NY, USA
| | - H-H Hoffmann
- Laboratory of Virology and Infectious Diseases, the Rockefeller University, New York, NY, USA
| | - J Park
- Laboratory of Virology and Infectious Diseases, the Rockefeller University, New York, NY, USA
| | - T S Carroll
- Bioinformatics Resource Center, the Rockefeller University, New York, NY, USA
| | - J T Poirier
- Laura and Isaac Perlmutter Cancer Center, New York University Grossman School of Medicine, NYU Langone Health, New York, NY, USA
| | - C M Rice
- Laboratory of Virology and Infectious Diseases, the Rockefeller University, New York, NY, USA.
| | - A H Brivanlou
- Laboratory of Synthetic Embryology, the Rockefeller University, New York, NY, USA.
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38
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Karolak JA, Welch CL, Mosimann C, Bzdęga K, West JD, Montani D, Eyries M, Mullen MP, Abman SH, Prapa M, Gräf S, Morrell NW, Hemnes AR, Perros F, Hamid R, Logan MPO, Whitsett J, Galambos C, Stankiewicz P, Chung WK, Austin ED. Molecular Function and Contribution of TBX4 in Development and Disease. Am J Respir Crit Care Med 2023; 207:855-864. [PMID: 36367783 PMCID: PMC10111992 DOI: 10.1164/rccm.202206-1039tr] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 11/10/2022] [Indexed: 11/13/2022] Open
Abstract
Over the past decade, recognition of the profound impact of the TBX4 (T-box 4) gene, which encodes a member of the evolutionarily conserved family of T-box-containing transcription factors, on respiratory diseases has emerged. The developmental importance of TBX4 is emphasized by the association of TBX4 variants with congenital disorders involving respiratory and skeletal structures; however, the exact role of TBX4 in human development remains incompletely understood. Here, we discuss the developmental, tissue-specific, and pathological TBX4 functions identified through human and animal studies and review the published TBX4 variants resulting in variable disease phenotypes. We also outline future research directions to fill the gaps in our understanding of TBX4 function and of how TBX4 disruption affects development.
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Affiliation(s)
- Justyna A. Karolak
- Chair and Department of Genetics and Pharmaceutical Microbiology, Poznan University of Medical Sciences, Poznan, Poland
| | | | | | - Katarzyna Bzdęga
- Chair and Department of Genetics and Pharmaceutical Microbiology, Poznan University of Medical Sciences, Poznan, Poland
| | - James D. West
- Division of Allergy, Pulmonary and Critical Care Medicine, and
| | - David Montani
- Université Paris-Saclay, Assistance Publique–Hôpitaux de Paris, Service de Pneumologie et Soins Intensifs Respiratoires, Hôpital de Bicêtre, DMU 5 Thorinno, Inserm UMR_S999, Le Kremlin-Bicêtre, France
| | - Mélanie Eyries
- Sorbonne Université, AP-HP, Département de Génétique, Hôpital Pitié-Salpêtrière, Paris, France
| | - Mary P. Mullen
- Department of Cardiology, Boston Children’s Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | | | - Matina Prapa
- St. George’s University Hospitals NHS Foundation Trust, London, United Kingdom
| | - Stefan Gräf
- Department of Medicine, School of Clinical Medicine, University of Cambridge, Heart and Lung Research Institute, Cambridge, United Kingdom
| | - Nicholas W. Morrell
- Department of Medicine, School of Clinical Medicine, University of Cambridge, Heart and Lung Research Institute, Cambridge, United Kingdom
| | - Anna R. Hemnes
- Division of Allergy, Pulmonary and Critical Care Medicine, and
| | - Frédéric Perros
- Université Paris-Saclay, Assistance Publique–Hôpitaux de Paris, Service de Pneumologie et Soins Intensifs Respiratoires, Hôpital de Bicêtre, DMU 5 Thorinno, Inserm UMR_S999, Le Kremlin-Bicêtre, France
| | - Rizwan Hamid
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Malcolm P. O. Logan
- Randall Centre for Cell and Molecular Biophysics, King’s College London, London, United Kingdom
| | - Jeffrey Whitsett
- Division of Neonatology, Perinatal and Pulmonary Biology, Cincinnati Children’s Hospital Medical Center, Perinatal Institute, Cincinnati, Ohio
- Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, Ohio; and
| | - Csaba Galambos
- Department of Pathology, University of Colorado School of Medicine, and Children’s Hospital Colorado, Anschutz Medical Campus, Aurora, Colorado
| | - Paweł Stankiewicz
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
| | - Wendy K. Chung
- Department of Pediatrics and
- Department of Medicine, Columbia University Irving Medical Center, New York, New York
| | - Eric D. Austin
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee
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Shrine N, Izquierdo AG, Chen J, Packer R, Hall RJ, Guyatt AL, Batini C, Thompson RJ, Pavuluri C, Malik V, Hobbs BD, Moll M, Kim W, Tal-Singer R, Bakke P, Fawcett KA, John C, Coley K, Piga NN, Pozarickij A, Lin K, Millwood IY, Chen Z, Li L, Wijnant SRA, Lahousse L, Brusselle G, Uitterlinden AG, Manichaikul A, Oelsner EC, Rich SS, Barr RG, Kerr SM, Vitart V, Brown MR, Wielscher M, Imboden M, Jeong A, Bartz TM, Gharib SA, Flexeder C, Karrasch S, Gieger C, Peters A, Stubbe B, Hu X, Ortega VE, Meyers DA, Bleecker ER, Gabriel SB, Gupta N, Smith AV, Luan J, Zhao JH, Hansen AF, Langhammer A, Willer C, Bhatta L, Porteous D, Smith BH, Campbell A, Sofer T, Lee J, Daviglus ML, Yu B, Lim E, Xu H, O'Connor GT, Thareja G, Albagha OME, Suhre K, Granell R, Faquih TO, Hiemstra PS, Slats AM, Mullin BH, Hui J, James A, Beilby J, Patasova K, Hysi P, Koskela JT, Wyss AB, Jin J, Sikdar S, Lee M, May-Wilson S, Pirastu N, Kentistou KA, Joshi PK, Timmers PRHJ, Williams AT, Free RC, Wang X, Morrison JL, Gilliland FD, Chen Z, Wang CA, Foong RE, Harris SE, Taylor A, Redmond P, Cook JP, Mahajan A, Lind L, Palviainen T, Lehtimäki T, Raitakari OT, Kaprio J, Rantanen T, Pietiläinen KH, Cox SR, Pennell CE, Hall GL, Gauderman WJ, Brightling C, Wilson JF, Vasankari T, Laitinen T, Salomaa V, Mook-Kanamori DO, Timpson NJ, Zeggini E, Dupuis J, Hayward C, Brumpton B, Langenberg C, Weiss S, Homuth G, Schmidt CO, Probst-Hensch N, Jarvelin MR, Morrison AC, Polasek O, Rudan I, Lee JH, Sayers I, Rawlins EL, Dudbridge F, Silverman EK, Strachan DP, Walters RG, Morris AP, London SJ, Cho MH, Wain LV, Hall IP, Tobin MD. Multi-ancestry genome-wide association analyses improve resolution of genes and pathways influencing lung function and chronic obstructive pulmonary disease risk. Nat Genet 2023; 55:410-422. [PMID: 36914875 PMCID: PMC10011137 DOI: 10.1038/s41588-023-01314-0] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 01/25/2023] [Indexed: 03/16/2023]
Abstract
Lung-function impairment underlies chronic obstructive pulmonary disease (COPD) and predicts mortality. In the largest multi-ancestry genome-wide association meta-analysis of lung function to date, comprising 580,869 participants, we identified 1,020 independent association signals implicating 559 genes supported by ≥2 criteria from a systematic variant-to-gene mapping framework. These genes were enriched in 29 pathways. Individual variants showed heterogeneity across ancestries, age and smoking groups, and collectively as a genetic risk score showed strong association with COPD across ancestry groups. We undertook phenome-wide association studies for selected associated variants as well as trait and pathway-specific genetic risk scores to infer possible consequences of intervening in pathways underlying lung function. We highlight new putative causal variants, genes, proteins and pathways, including those targeted by existing drugs. These findings bring us closer to understanding the mechanisms underlying lung function and COPD, and should inform functional genomics experiments and potentially future COPD therapies.
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Affiliation(s)
- Nick Shrine
- Department of Population Health Sciences, University of Leicester, Leicester, UK.
| | - Abril G Izquierdo
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Jing Chen
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Richard Packer
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Robert J Hall
- Division of Respiratory Medicine and NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK
| | - Anna L Guyatt
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Chiara Batini
- Department of Population Health Sciences, University of Leicester, Leicester, UK
- Leicester National Institute for Health and Care Research, Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Rebecca J Thompson
- Division of Respiratory Medicine and NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK
| | - Chandan Pavuluri
- Channing Division of Network Medicine, Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Vidhi Malik
- Channing Division of Network Medicine, Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Brian D Hobbs
- Channing Division of Network Medicine, Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Matthew Moll
- Channing Division of Network Medicine, Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Wonji Kim
- Channing Division of Network Medicine, Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Per Bakke
- Department of Clinical Science, Unversity of Bergen, Bergen, Norway
| | - Katherine A Fawcett
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Catherine John
- Department of Population Health Sciences, University of Leicester, Leicester, UK
- Leicester National Institute for Health and Care Research, Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Kayesha Coley
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Noemi Nicole Piga
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Alfred Pozarickij
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Kuang Lin
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Iona Y Millwood
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, University of Oxford, Oxford, UK
| | - Zhengming Chen
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, University of Oxford, Oxford, UK
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Sara R A Wijnant
- Department of Respiratory Diseases, Ghent Universital Hospital, Ghent, Belgium
- Department of Bioanalysis, Faculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium
- Department of Epidemiology, Eramus Medical Center, Rotterdam, The Netherlands
| | - Lies Lahousse
- Department of Bioanalysis, Faculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium
- Department of Epidemiology, Eramus Medical Center, Rotterdam, The Netherlands
| | - Guy Brusselle
- Department of Respiratory Diseases, Ghent Universital Hospital, Ghent, Belgium
- Department of Epidemiology, Eramus Medical Center, Rotterdam, The Netherlands
| | - Andre G Uitterlinden
- Department of Internal Medicine, Eramus Medical Center, Rotterdam, The Netherlands
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Elizabeth C Oelsner
- Department of Medicine, Columbia University Medical Center, New York, NY, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - R Graham Barr
- Department of Medicine, Columbia University Medical Center, New York, NY, USA
| | - Shona M Kerr
- Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Veronique Vitart
- Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Michael R Brown
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Matthias Wielscher
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Medea Imboden
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- Department of Public Health, University of Basel, Basel, Switzerland
| | - Ayoung Jeong
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- Department of Public Health, University of Basel, Basel, Switzerland
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Departments of Medicine and Biostatistics, University of Washington, Seattle, WA, USA
| | - Sina A Gharib
- Computational Medicine Core, Center for Lung Biology, Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Claudia Flexeder
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich, Germany
- Comprehensive Pneumology Center Munich (CPC-M), German Center for Lung Research (DZL), Munich, Germany
- Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Stefan Karrasch
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich, Germany
- Comprehensive Pneumology Center Munich (CPC-M), German Center for Lung Research (DZL), Munich, Germany
- Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Christian Gieger
- Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig Maximilian University, Munich, Germany
| | - Beate Stubbe
- Department of Internal Medicine B-Cardiology, Intensive Care, Pulmonary Medicine and Infectious Diseases, University Medicine Greifswald, Greifswald, Germany
| | - Xiaowei Hu
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Victor E Ortega
- Division of Respiratory Medicine, Department of Internal Medicine, Center for Individualized Medicine, Mayo Clinic, Scottsdale, AZ, USA
| | | | | | | | - Namrata Gupta
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Albert Vernon Smith
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Jian'an Luan
- MRC Epidemiology Unit, Institute of Metabolic Science, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Jing-Hua Zhao
- Department of Public and Primary Care, Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
| | - Ailin F Hansen
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU Norwegian University of Science and Technology, Trondheim, Norway
| | - Arnulf Langhammer
- HUNT Research Centre, Department of Public Health and Nursing, NTNU Norwegian University of Science and Technology, Levanger, Norway
- Levanger Hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway
| | - Cristen Willer
- Division of Cardiology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Laxmi Bhatta
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU Norwegian University of Science and Technology, Trondheim, Norway
| | - David Porteous
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Blair H Smith
- Division of Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK
| | - Archie Campbell
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jiwon Lee
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
| | - Martha L Daviglus
- Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA
| | - Bing Yu
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Elise Lim
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA
| | - Hanfei Xu
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA
| | - George T O'Connor
- Pulmonary Center, School of Medicine, Boston University, Boston, MA, USA
| | - Gaurav Thareja
- Bioinformatics Core, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
| | - Omar M E Albagha
- College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar
- Center for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Karsten Suhre
- Bioinformatics Core, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
- Department of Biophysics and Physiology, Weill Cornell Medicine, New York, NY, USA
| | - Raquel Granell
- MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Tariq O Faquih
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Pieter S Hiemstra
- Department of Pulmonology, Leiden University Medical Center, Leiden, The Netherlands
| | - Annelies M Slats
- Department of Pulmonology, Leiden University Medical Center, Leiden, The Netherlands
| | - Benjamin H Mullin
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia
- School of Biomedical Sciences, University of Western Australia, Crawley, Western Australia, Australia
| | - Jennie Hui
- Busselton Population Medical Research Institute, QEII Medical Centre, Nedlands, Western Australia, Australia
- School of Population and Global Health, University of Western Australia, Crawley, Western Australia, Australia
- PathWest Laboratory Medicine of WA, Nedlands, Western Australia, Australia
| | - Alan James
- Busselton Population Medical Research Institute, QEII Medical Centre, Nedlands, Western Australia, Australia
| | - John Beilby
- School of Biomedical Sciences, University of Western Australia, Crawley, Western Australia, Australia
- Busselton Population Medical Research Institute, QEII Medical Centre, Nedlands, Western Australia, Australia
| | - Karina Patasova
- Department of Twin Research and Genetic Epidemiology, King's College London School of Medicine, London, UK
- Division of Respiratory Medicine, Department of Medicine Solna, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Pirro Hysi
- Department of Twin Research and Genetic Epidemiology, King's College London School of Medicine, London, UK
- UCL Institute of Ophthalmology, University College London, London, UK
| | - Jukka T Koskela
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Annah B Wyss
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | | | - Sinjini Sikdar
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
- Department of Mathematics and Statistics, Old Dominion University, Norfolk, VA, USA
| | - Mikyeong Lee
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Sebastian May-Wilson
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Nicola Pirastu
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Katherine A Kentistou
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
- Centre for Cardiovascular Sciences, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Peter K Joshi
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Paul R H J Timmers
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Alexander T Williams
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Robert C Free
- Leicester National Institute for Health and Care Research, Biomedical Research Centre, Glenfield Hospital, Leicester, UK
- Department of Respiratory Sciences, University of Leicester, Leicester, UK
| | - Xueyang Wang
- Leicester National Institute for Health and Care Research, Biomedical Research Centre, Glenfield Hospital, Leicester, UK
- Department of Respiratory Sciences, University of Leicester, Leicester, UK
| | - John L Morrison
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Frank D Gilliland
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Zhanghua Chen
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Carol A Wang
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Newcastle, New South Wales, Australia
- Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Rachel E Foong
- Wal-yan Respiratory Research Centre, Telethon Kids Institute, Perth, Western Australia, Australia
- School of Allied Health, Faculty of Health Sciences, Curtin University, Perth, Western Australia, Australia
| | - Sarah E Harris
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Adele Taylor
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Paul Redmond
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - James P Cook
- Department of Health Data Science, University of Liverpool, Liverpool, UK
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Genentech, South San Francisco, CA, USA
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Teemu Palviainen
- Institute for Molecular Medicine Finland-FIMM, University of Helsinki, Helsinki, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Olli T Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland-FIMM, University of Helsinki, Helsinki, Finland
| | - Taina Rantanen
- Faculty of Sport and Health Sciences, University of Jyvaskyla, Jyvaskyla, Finland
| | - Kirsi H Pietiläinen
- Obesity Research Unit, Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Obesity and Abdominal Centers, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Simon R Cox
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Craig E Pennell
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Newcastle, New South Wales, Australia
- Hunter Medical Research Institute, Newcastle, New South Wales, Australia
- Department of Maternity and Gynaecology, John Hunter Hospital, Newcastle, New South Wales, Australia
| | - Graham L Hall
- Wal-yan Respiratory Research Centre, Telethon Kids Institute, Perth, Western Australia, Australia
- School of Allied Health, Faculty of Health Sciences, Curtin University, Perth, Western Australia, Australia
| | - W James Gauderman
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Chris Brightling
- Leicester National Institute for Health and Care Research, Biomedical Research Centre, Glenfield Hospital, Leicester, UK
- Department of Infection, Inflammation and Immunity, Institute for Lung Health, University of Leicester, Leicester, UK
| | - James F Wilson
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - Tuula Vasankari
- FILHA-Finnish Lung Health Association, Helsinki, Finland
- Department of Respiratory Diseases and Allergology, University of Turku, Turku, Finland
| | - Tarja Laitinen
- Administration Center, Tampere University Hospital and University of Tampere, Tampere, Finland
| | - Veikko Salomaa
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands
| | - Nicholas J Timpson
- MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- ALSPAC, Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Eleftheria Zeggini
- Wellcome Sanger Institute, Cambridge, UK
- Institute of Translational Genomics, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
- Technical University of Munich (TUM) and Klinikum Rechts der Isar, TUM School of Medicine, Munich, Germany
| | - Josée Dupuis
- Department of Epidemiology, Biostatistics, and Occupational Health, School of Population and Global Health, McGill University, Montreal, Quebec, Canada
| | - Caroline Hayward
- Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Ben Brumpton
- HUNT Research Centre, Department of Public Health and Nursing, NTNU Norwegian University of Science and Technology, Levanger, Norway
- Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, School of Clinical Medicine, University of Cambridge, Cambridge, UK
- Precision Healthcare University Research Institute, Queen Mary University of London, London, UK
- Computational Medicine, Berlin Institute of Health at Charité, Universitätsmedizin Berlin, Berlin, Germany
| | - Stefan Weiss
- Interfaculty Institute for Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Carsten Oliver Schmidt
- Institute for Community Medicine, SHIP-Clinical Epidemiological Research, University Medicine Greifswald, Greifswald, Germany
| | - Nicole Probst-Hensch
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- Department of Public Health, University of Basel, Basel, Switzerland
| | - Marjo-Riitta Jarvelin
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Unit of Primary Health Care, Oulu University Hospital, OYS, Oulu, Finland
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Ozren Polasek
- School of Medicine, University of Split, Split, Croatia
| | - Igor Rudan
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Joo-Hyeon Lee
- Jeffrey Cheah Biomedical Centre, Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - Ian Sayers
- Division of Respiratory Medicine and NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK
| | - Emma L Rawlins
- Wellcome Trust-CRUK Gurdon Institute and Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - Frank Dudbridge
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Edwin K Silverman
- Channing Division of Network Medicine, Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - David P Strachan
- Population Health Research Institute, St George's University of London, London, UK
| | - Robin G Walters
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, University of Oxford, Oxford, UK
| | - Andrew P Morris
- Centre for Genetics and Genomics Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, Centre for Musculoskeletal Research, The University of Manchester, Manchester, UK
| | - Stephanie J London
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Louise V Wain
- Department of Population Health Sciences, University of Leicester, Leicester, UK
- Leicester National Institute for Health and Care Research, Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Ian P Hall
- Division of Respiratory Medicine and NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK
| | - Martin D Tobin
- Department of Population Health Sciences, University of Leicester, Leicester, UK.
- Leicester National Institute for Health and Care Research, Biomedical Research Centre, Glenfield Hospital, Leicester, UK.
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40
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Leibel SL, McVicar RN, Murad R, Kwong EM, Clark AE, Alvarado A, Grimmig BA, Nuryyev R, Young RE, Lee JC, Peng W, Zhu YP, Griffis E, Nowell CJ, Liu K, James B, Alarcon S, Malhotra A, Gearing LJ, Hertzog PJ, Galapate CM, Galenkamp KM, Commisso C, Smith DM, Sun X, Carlin AF, Croker BA, Snyder EY. The lung employs an intrinsic surfactant-mediated inflammatory response for viral defense. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.26.525578. [PMID: 36747824 PMCID: PMC9900938 DOI: 10.1101/2023.01.26.525578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) causes an acute respiratory distress syndrome (ARDS) that resembles surfactant deficient RDS. Using a novel multi-cell type, human induced pluripotent stem cell (hiPSC)-derived lung organoid (LO) system, validated against primary lung cells, we found that inflammatory cytokine/chemokine production and interferon (IFN) responses are dynamically regulated autonomously within the lung following SARS-CoV-2 infection, an intrinsic defense mechanism mediated by surfactant proteins (SP). Single cell RNA sequencing revealed broad infectability of most lung cell types through canonical (ACE2) and non-canonical (endocytotic) viral entry routes. SARS-CoV-2 triggers rapid apoptosis, impairing viral dissemination. In the absence of surfactant protein B (SP-B), resistance to infection was impaired and cytokine/chemokine production and IFN responses were modulated. Exogenous surfactant, recombinant SP-B, or genomic correction of the SP-B deletion restored resistance to SARS-CoV-2 and improved viability.
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Li G, Song B, Singh H, Surya Prasath VB, Leighton Grimes H, Salomonis N. Decision level integration of unimodal and multimodal single cell data with scTriangulate. Nat Commun 2023; 14:406. [PMID: 36697445 PMCID: PMC9876931 DOI: 10.1038/s41467-023-36016-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Accepted: 01/10/2023] [Indexed: 01/27/2023] Open
Abstract
Decisively delineating cell identities from uni- and multimodal single-cell datasets is complicated by diverse modalities, clustering methods, and reference atlases. We describe scTriangulate, a computational framework to mix-and-match multiple clustering results, modalities, associated algorithms, and resolutions to achieve an optimal solution. Rather than ensemble approaches which select the "consensus", scTriangulate picks the most stable solution through coalitional iteration. When evaluated on diverse multimodal technologies, scTriangulate outperforms alternative approaches to identify high-confidence cell-populations and modality-specific subtypes. Unlike existing integration strategies that rely on modality-specific joint embedding or geometric graphs, scTriangulate makes no assumption about the distributions of raw underlying values. As a result, this approach can solve unprecedented integration challenges, including the ability to automate reference cell-atlas construction, resolve clonal architecture within molecularly defined cell-populations and subdivide clusters to discover splicing-defined disease subtypes. scTriangulate is a flexible strategy for unified integration of single-cell or multimodal clustering solutions, from nearly unlimited sources.
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Affiliation(s)
- Guangyuan Li
- Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.,Department of Biomedical Informatics, College of Medicine, University of Cincinnati, Cincinnati, OH, 45267, USA
| | - Baobao Song
- Division of Immunobiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.,Immunology Graduate Program, College of Medicine, University of Cincinnati, Cincinnati, OH 45267, USA
| | - Harinder Singh
- Center for Systems Immunology and the Department of Immunology, University of Pittsburgh, Pittsburgh, PA, USA
| | - V B Surya Prasath
- Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.,Department of Biomedical Informatics, College of Medicine, University of Cincinnati, Cincinnati, OH, 45267, USA.,Department of Pediatrics, University of Cincinnati School of Medicine, Cincinnati, OH, USA.,Department of Computer Science, University of Cincinnati, Cincinnati, OH 45221, USA
| | - H Leighton Grimes
- Division of Immunobiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA. .,Immunology Graduate Program, College of Medicine, University of Cincinnati, Cincinnati, OH 45267, USA. .,Department of Pediatrics, University of Cincinnati School of Medicine, Cincinnati, OH, USA.
| | - Nathan Salomonis
- Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA. .,Department of Biomedical Informatics, College of Medicine, University of Cincinnati, Cincinnati, OH, 45267, USA. .,Immunology Graduate Program, College of Medicine, University of Cincinnati, Cincinnati, OH 45267, USA. .,Department of Pediatrics, University of Cincinnati School of Medicine, Cincinnati, OH, USA. .,Department of Computer Science, University of Cincinnati, Cincinnati, OH 45221, USA.
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42
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Towards precision medicine: Omics approach for COVID-19. BIOSAFETY AND HEALTH 2023; 5:78-88. [PMID: 36687209 PMCID: PMC9846903 DOI: 10.1016/j.bsheal.2023.01.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 01/15/2023] [Accepted: 01/16/2023] [Indexed: 01/19/2023] Open
Abstract
The coronavirus disease 2019 (COVID-19) pandemic had a devastating impact on human society. Beginning with genome surveillance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the development of omics technologies brought a clearer understanding of the complex SARS-CoV-2 and COVID-19. Here, we reviewed how omics, including genomics, proteomics, single-cell multi-omics, and clinical phenomics, play roles in answering biological and clinical questions about COVID-19. Large-scale sequencing and advanced analysis methods facilitate COVID-19 discovery from virus evolution and severity risk prediction to potential treatment identification. Omics would indicate precise and globalized prevention and medicine for the COVID-19 pandemic under the utilization of big data capability and phenotypes refinement. Furthermore, decoding the evolution rule of SARS-CoV-2 by deep learning models is promising to forecast new variants and achieve more precise data to predict future pandemics and prevent them on time.
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43
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c-JUN-mediated transcriptional responses in lymphatic endothelial cells are required for lung fluid clearance at birth. Proc Natl Acad Sci U S A 2023; 120:e2215449120. [PMID: 36595691 PMCID: PMC9926280 DOI: 10.1073/pnas.2215449120] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
Fluid clearance mediated by lymphatic vessels is known to be essential for lung inflation and gas-exchange function during the transition from prenatal to postnatal life, yet the molecular mechanisms that regulate lymphatic function remain unclear. Here, we profiled the molecular features of lymphatic endothelial cells (LECs) in embryonic and postnatal day (P) 0 lungs by single-cell RNA-sequencing analysis. We identified that the expression of c-JUN is transiently upregulated in P0 LECs. Conditional knockout of Jun in LECs impairs the opening of lung lymphatic vessels at birth, leading to fluid retention in the lungs and neonatal death. We further demonstrated that increased mechanical pressure induces the expression of c-JUN in LECs. c-JUN regulates the opening of lymphatic vessels by modulating the remodeling of the actin cytoskeleton in LECs. Our study established the essential regulatory function of c-JUN-mediated transcriptional responses in facilitating lung lymphatic fluid clearance at birth.
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44
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Alysandratos KD, Garcia-de-Alba C, Yao C, Pessina P, Huang J, Villacorta-Martin C, Hix OT, Minakin K, Burgess CL, Bawa P, Murthy A, Konda B, Beers MF, Stripp BR, Kim CF, Kotton DN. Culture impact on the transcriptomic programs of primary and iPSC-derived human alveolar type 2 cells. JCI Insight 2023; 8:e158937. [PMID: 36454643 PMCID: PMC9870086 DOI: 10.1172/jci.insight.158937] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 11/21/2022] [Indexed: 12/02/2022] Open
Abstract
Dysfunction of alveolar epithelial type 2 cells (AEC2s), the facultative progenitors of lung alveoli, is implicated in pulmonary disease pathogenesis, highlighting the importance of human in vitro models. However, AEC2-like cells in culture have yet to be directly compared to their in vivo counterparts at single-cell resolution. Here, we performed head-to-head comparisons among the transcriptomes of primary (1°) adult human AEC2s, their cultured progeny, and human induced pluripotent stem cell-derived AEC2s (iAEC2s). We found each population occupied a distinct transcriptomic space with cultured AEC2s (1° and iAEC2s) exhibiting similarities to and differences from freshly purified 1° cells. Across each cell type, we found an inverse relationship between proliferative and maturation states, with preculture 1° AEC2s being most quiescent/mature and iAEC2s being most proliferative/least mature. Cultures of either type of human AEC2s did not generate detectable alveolar type 1 cells in these defined conditions; however, a subset of iAEC2s cocultured with fibroblasts acquired a transitional cell state described in mice and humans to arise during fibrosis or following injury. Hence, we provide direct comparisons of the transcriptomic programs of 1° and engineered AEC2s, 2 in vitro models that can be harnessed to study human lung health and disease.
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Affiliation(s)
- Konstantinos-Dionysios Alysandratos
- Center for Regenerative Medicine, Boston University and Boston Medical Center, Boston, Massachusetts, USA
- The Pulmonary Center and Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
| | - Carolina Garcia-de-Alba
- Stem Cell Program and Divisions of Hematology/Oncology and Pulmonary Medicine, Boston Children’s Hospital, Boston, Massachusetts, USA
- Harvard Stem Cell Institute, Cambridge, Massachusetts, USA
- Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA
| | - Changfu Yao
- Women’s Guild Lung Institute
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, and
- Regenerative Medicine Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Patrizia Pessina
- Stem Cell Program and Divisions of Hematology/Oncology and Pulmonary Medicine, Boston Children’s Hospital, Boston, Massachusetts, USA
- Harvard Stem Cell Institute, Cambridge, Massachusetts, USA
- Stem Cells and Regenerative Medicine Center, Baylor College of Medicine, Houston, Texas, USA
| | - Jessie Huang
- Center for Regenerative Medicine, Boston University and Boston Medical Center, Boston, Massachusetts, USA
- The Pulmonary Center and Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
| | - Carlos Villacorta-Martin
- Center for Regenerative Medicine, Boston University and Boston Medical Center, Boston, Massachusetts, USA
- The Pulmonary Center and Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
| | - Olivia T. Hix
- Center for Regenerative Medicine, Boston University and Boston Medical Center, Boston, Massachusetts, USA
| | - Kasey Minakin
- Center for Regenerative Medicine, Boston University and Boston Medical Center, Boston, Massachusetts, USA
| | - Claire L. Burgess
- Center for Regenerative Medicine, Boston University and Boston Medical Center, Boston, Massachusetts, USA
- The Pulmonary Center and Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
| | - Pushpinder Bawa
- Center for Regenerative Medicine, Boston University and Boston Medical Center, Boston, Massachusetts, USA
| | - Aditi Murthy
- Pulmonary, Allergy, and Critical Care Division, Department of Medicine, and
- PENN-CHOP Lung Biology Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Bindu Konda
- Women’s Guild Lung Institute
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, and
- Regenerative Medicine Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Michael F. Beers
- Pulmonary, Allergy, and Critical Care Division, Department of Medicine, and
- PENN-CHOP Lung Biology Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Barry R. Stripp
- Women’s Guild Lung Institute
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, and
- Regenerative Medicine Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Carla F. Kim
- Stem Cell Program and Divisions of Hematology/Oncology and Pulmonary Medicine, Boston Children’s Hospital, Boston, Massachusetts, USA
- Harvard Stem Cell Institute, Cambridge, Massachusetts, USA
- Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA
| | - Darrell N. Kotton
- Center for Regenerative Medicine, Boston University and Boston Medical Center, Boston, Massachusetts, USA
- The Pulmonary Center and Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
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45
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Zsichla L, Müller V. Risk Factors of Severe COVID-19: A Review of Host, Viral and Environmental Factors. Viruses 2023; 15:175. [PMID: 36680215 PMCID: PMC9863423 DOI: 10.3390/v15010175] [Citation(s) in RCA: 32] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 01/04/2023] [Accepted: 01/04/2023] [Indexed: 01/11/2023] Open
Abstract
The clinical course and outcome of COVID-19 are highly variable, ranging from asymptomatic infections to severe disease and death. Understanding the risk factors of severe COVID-19 is relevant both in the clinical setting and at the epidemiological level. Here, we provide an overview of host, viral and environmental factors that have been shown or (in some cases) hypothesized to be associated with severe clinical outcomes. The factors considered in detail include the age and frailty, genetic polymorphisms, biological sex (and pregnancy), co- and superinfections, non-communicable comorbidities, immunological history, microbiota, and lifestyle of the patient; viral genetic variation and infecting dose; socioeconomic factors; and air pollution. For each category, we compile (sometimes conflicting) evidence for the association of the factor with COVID-19 outcomes (including the strength of the effect) and outline possible action mechanisms. We also discuss the complex interactions between the various risk factors.
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Affiliation(s)
- Levente Zsichla
- Institute of Biology, Eötvös Loránd University, 1117 Budapest, Hungary
- National Laboratory for Health Security, Eötvös Loránd University, 1117 Budapest, Hungary
| | - Viktor Müller
- Institute of Biology, Eötvös Loránd University, 1117 Budapest, Hungary
- National Laboratory for Health Security, Eötvös Loránd University, 1117 Budapest, Hungary
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46
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Dapas M, Thompson EE, Wentworth-Sheilds W, Clay S, Visness CM, Calatroni A, Sordillo JE, Gold DR, Wood RA, Makhija M, Khurana Hershey GK, Sherenian MG, Gruchalla RS, Gill MA, Liu AH, Kim H, Kattan M, Bacharier LB, Rastogi D, Altman MC, Busse WW, Becker PM, Nicolae D, O’Connor GT, Gern JE, Jackson DJ, Ober C. Multi-omic association study identifies DNA methylation-mediated genotype and smoking exposure effects on lung function in children living in urban settings. PLoS Genet 2023; 19:e1010594. [PMID: 36638096 PMCID: PMC9879483 DOI: 10.1371/journal.pgen.1010594] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 01/26/2023] [Accepted: 12/23/2022] [Indexed: 01/14/2023] Open
Abstract
Impaired lung function in early life is associated with the subsequent development of chronic respiratory disease. Most genetic associations with lung function have been identified in adults of European descent and therefore may not represent those most relevant to pediatric populations and populations of different ancestries. In this study, we performed genome-wide association analyses of lung function in a multiethnic cohort of children (n = 1,035) living in low-income urban neighborhoods. We identified one novel locus at the TDRD9 gene in chromosome 14q32.33 associated with percent predicted forced expiratory volume in one second (FEV1) (p = 2.4x10-9; βz = -0.31, 95% CI = -0.41- -0.21). Mendelian randomization and mediation analyses revealed that this genetic effect on FEV1 was partially mediated by DNA methylation levels at this locus in airway epithelial cells, which were also associated with environmental tobacco smoke exposure (p = 0.015). Promoter-enhancer interactions in airway epithelial cells revealed chromatin interaction loops between FEV1-associated variants in TDRD9 and the promoter region of the PPP1R13B gene, a stimulator of p53-mediated apoptosis. Expression of PPP1R13B in airway epithelial cells was significantly associated the FEV1 risk alleles (p = 1.3x10-5; β = 0.12, 95% CI = 0.06-0.17). These combined results highlight a potential novel mechanism for reduced lung function in urban youth resulting from both genetics and smoking exposure.
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Affiliation(s)
- Matthew Dapas
- Department of Human Genetics, University of Chicago, Chicago Illinois, United States of America
| | - Emma E. Thompson
- Department of Human Genetics, University of Chicago, Chicago Illinois, United States of America
| | | | - Selene Clay
- Department of Human Genetics, University of Chicago, Chicago Illinois, United States of America
| | | | | | - Joanne E. Sordillo
- Department of Population Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Diane R. Gold
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Robert A. Wood
- Department of Pediatrics, Johns Hopkins University Medical Center, Baltimore, Maryland, United States of America
| | - Melanie Makhija
- Division of Allergy and Immunology, Ann & Robert H. Lurie Children’s Hospital, Chicago, Illinois, United States of America
| | - Gurjit K. Khurana Hershey
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, United States of America
- Division of Asthma Research, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, United States of America
| | - Michael G. Sherenian
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, United States of America
- Division of Asthma Research, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, United States of America
| | - Rebecca S. Gruchalla
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America
| | - Michelle A. Gill
- Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Andrew H. Liu
- Department of Allergy and Immunology, Children’s Hospital Colorado, University of Colorado School of Medicine, Aurora, Colorado, United States of America
| | - Haejin Kim
- Department of Medicine, Henry Ford Health System, Detroit, Michigan, United States of America
| | - Meyer Kattan
- Columbia University College of Physicians and Surgeons, New York, New York, United States of America
| | - Leonard B. Bacharier
- Monroe Carell Jr. Children’s Hospital at Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Deepa Rastogi
- Children’s National Health System, Washington, District of Columbia, United States of America
| | - Matthew C. Altman
- Department of Allergy and Infectious Diseases, University of Washington, Seattle, Washington, United States of America
| | - William W. Busse
- Department of Pediatrics and Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, United States of America
| | - Patrice M. Becker
- National Institute of Allergy and Infectious Diseases, Bethesda, Maryland, United States of America
| | - Dan Nicolae
- Department of Statistics, University of Chicago, Chicago, Illinois, United States of America
| | - George T. O’Connor
- Pulmonary Center, Boston University School of Medicine, Boston, Massachusetts, United States of America
| | - James E. Gern
- Department of Pediatrics and Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, United States of America
| | - Daniel J. Jackson
- Department of Pediatrics and Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, United States of America
| | - Carole Ober
- Department of Human Genetics, University of Chicago, Chicago Illinois, United States of America
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47
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Preissl S, Gaulton KJ, Ren B. Characterizing cis-regulatory elements using single-cell epigenomics. Nat Rev Genet 2023; 24:21-43. [PMID: 35840754 PMCID: PMC9771884 DOI: 10.1038/s41576-022-00509-1] [Citation(s) in RCA: 65] [Impact Index Per Article: 65.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/24/2022] [Indexed: 12/24/2022]
Abstract
Cell type-specific gene expression patterns and dynamics during development or in disease are controlled by cis-regulatory elements (CREs), such as promoters and enhancers. Distinct classes of CREs can be characterized by their epigenomic features, including DNA methylation, chromatin accessibility, combinations of histone modifications and conformation of local chromatin. Tremendous progress has been made in cataloguing CREs in the human genome using bulk transcriptomic and epigenomic methods. However, single-cell epigenomic and multi-omic technologies have the potential to provide deeper insight into cell type-specific gene regulatory programmes as well as into how they change during development, in response to environmental cues and through disease pathogenesis. Here, we highlight recent advances in single-cell epigenomic methods and analytical tools and discuss their readiness for human tissue profiling.
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Affiliation(s)
- Sebastian Preissl
- Center for Epigenomics, University of California San Diego, La Jolla, CA, USA.
- Institute of Experimental and Clinical Pharmacology and Toxicology, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
| | - Kyle J Gaulton
- Department of Paediatrics, Paediatric Diabetes Research Center, University of California San Diego, La Jolla, CA, USA.
| | - Bing Ren
- Center for Epigenomics, University of California San Diego, La Jolla, CA, USA.
- Department of Cellular and Molecular Medicine, University of California San Diego, School of Medicine, La Jolla, CA, USA.
- Ludwig Institute for Cancer Research, La Jolla, CA, USA.
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48
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Giotis ES, Cil E, Brooke GN. Use of Antiandrogens as Therapeutic Agents in COVID-19 Patients. Viruses 2022; 14:2728. [PMID: 36560732 PMCID: PMC9788624 DOI: 10.3390/v14122728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 11/23/2022] [Accepted: 12/01/2022] [Indexed: 12/12/2022] Open
Abstract
COVID-19, caused by the severe acute respiratory syndrome coronavirus 2 (SARS CoV-2), is estimated to have caused over 6.5 million deaths worldwide. The emergence of fast-evolving SARS-CoV-2 variants of concern alongside increased transmissibility and/or virulence, as well as immune and vaccine escape capabilities, highlight the urgent need for more effective antivirals to combat the disease in the long run along with regularly updated vaccine boosters. One of the early risk factors identified during the COVID-19 pandemic was that men are more likely to become infected by the virus, more likely to develop severe disease and exhibit a higher likelihood of hospitalisation and mortality rates compared to women. An association exists between SARS-CoV-2 infectiveness and disease severity with sex steroid hormones and, in particular, androgens. Several studies underlined the importance of the androgen-mediated regulation of the host protease TMPRSS2 and the cell entry protein ACE2, as well as the key role of these factors in the entry of the virus into target cells. In this context, modulating androgen signalling is a promising strategy to block viral infection, and antiandrogens could be used as a preventative measure at the pre- or early hospitalisation stage of COVID-19 disease. Different antiandrogens, including commercial drugs used to treat metastatic castration-sensitive prostate cancer and other conditions, have been tested as antivirals with varying success. In this review, we summarise the most recent updates concerning the use of antiandrogens as prophylactic and therapeutic options for COVID-19.
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Affiliation(s)
- Efstathios S. Giotis
- Department of Infectious Diseases, Imperial College London, London W2 1PG, UK
- School of Life Sciences, University of Essex, Colchester CO4 3SQ, UK
| | - Emine Cil
- School of Life Sciences, University of Essex, Colchester CO4 3SQ, UK
| | - Greg N. Brooke
- School of Life Sciences, University of Essex, Colchester CO4 3SQ, UK
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49
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Dockrell DH, Russell CD, McHugh B, Fraser R. Does autonomous macrophage-driven inflammation promote alveolar damage in COVID-19? Eur Respir J 2022; 60:2201521. [PMID: 36028257 PMCID: PMC9411729 DOI: 10.1183/13993003.01521-2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Accepted: 08/16/2022] [Indexed: 12/15/2022]
Abstract
SARS-CoV-2 has caused devastating effects with over 550 million infections by July 2022 and approximately 6.4 million deaths [1]. Societal and economic impacts will reverberate for years, with continuous evolution of SARS-CoV-2 as it persistently spreads through the human population as exemplified by reduced activity of vaccines and monoclonals against Omicron BA.4 or BA.5 subvariants [2]. A greater understanding of pathogenesis and more tailored therapeutic approaches are therefore essential.
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Affiliation(s)
- David H Dockrell
- Centre for Inflammation Research and Institute of Regeneration and Repair, University of Edinburgh, Edinburgh, UK
- Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Clark D Russell
- Centre for Inflammation Research and Institute of Regeneration and Repair, University of Edinburgh, Edinburgh, UK
- Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Brian McHugh
- Centre for Inflammation Research and Institute of Regeneration and Repair, University of Edinburgh, Edinburgh, UK
- Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Rupsha Fraser
- Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
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50
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Humbert MV, Spalluto CM, Bell J, Blume C, Conforti F, Davies ER, Dean LSN, Elkington P, Haitchi HM, Jackson C, Jones MG, Loxham M, Lucas JS, Morgan H, Polak M, Staples KJ, Swindle EJ, Tezera L, Watson A, Wilkinson TMA. Towards an artificial human lung: modelling organ-like complexity to aid mechanistic understanding. Eur Respir J 2022; 60:2200455. [PMID: 35777774 DOI: 10.1183/13993003.00455-2022] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 06/11/2022] [Indexed: 11/05/2022]
Abstract
Respiratory diseases account for over 5 million deaths yearly and are a huge burden to healthcare systems worldwide. Murine models have been of paramount importance to decode human lung biology in vivo, but their genetic, anatomical, physiological and immunological differences with humans significantly hamper successful translation of research into clinical practice. Thus, to clearly understand human lung physiology, development, homeostasis and mechanistic dysregulation that may lead to disease, it is essential to develop models that accurately recreate the extraordinary complexity of the human pulmonary architecture and biology. Recent advances in micro-engineering technology and tissue engineering have allowed the development of more sophisticated models intending to bridge the gap between the native lung and its replicates in vitro Alongside advanced culture techniques, remarkable technological growth in downstream analyses has significantly increased the predictive power of human biology-based in vitro models by allowing capture and quantification of complex signals. Refined integrated multi-omics readouts could lead to an acceleration of the translational pipeline from in vitro experimental settings to drug development and clinical testing in the future. This review highlights the range and complexity of state-of-the-art lung models for different areas of the respiratory system, from nasal to large airways, small airways and alveoli, with consideration of various aspects of disease states and their potential applications, including pre-clinical drug testing. We explore how development of optimised physiologically relevant in vitro human lung models could accelerate the identification of novel therapeutics with increased potential to translate successfully from the bench to the patient's bedside.
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Affiliation(s)
- Maria Victoria Humbert
- School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Cosma Mirella Spalluto
- School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, UK
- M.V. Humbert and C.M. Spalluto are co-first authors and contributed equally to this work
| | - Joseph Bell
- School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, UK
| | - Cornelia Blume
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, UK
- Institute for Life Sciences, University of Southampton, Southampton, UK
- School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Franco Conforti
- School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, UK
| | - Elizabeth R Davies
- School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- Biological Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
| | - Lareb S N Dean
- School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, UK
| | - Paul Elkington
- School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, UK
- Institute for Life Sciences, University of Southampton, Southampton, UK
| | - Hans Michael Haitchi
- School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, UK
- Institute for Life Sciences, University of Southampton, Southampton, UK
| | - Claire Jackson
- School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, UK
| | - Mark G Jones
- School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, UK
| | - Matthew Loxham
- School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, UK
- Institute for Life Sciences, University of Southampton, Southampton, UK
| | - Jane S Lucas
- School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, UK
| | - Hywel Morgan
- Institute for Life Sciences, University of Southampton, Southampton, UK
- Electronics and Computer Science, Faculty of Physical Sciences and Engineering, University of Southampton, Southampton, UK
| | - Marta Polak
- School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, UK
- Institute for Life Sciences, University of Southampton, Southampton, UK
| | - Karl J Staples
- School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, UK
| | - Emily J Swindle
- School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, UK
- Institute for Life Sciences, University of Southampton, Southampton, UK
| | - Liku Tezera
- School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- Department of Infection and Immunity, Faculty of Medicine, University College London, London, UK
| | - Alastair Watson
- School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, UK
- College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Tom M A Wilkinson
- School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, UK
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