1
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Wu TTH, Travaglini KJ, Rustagi A, Xu D, Zhang Y, Andronov L, Jang S, Gillich A, Dehghannasiri R, Martínez-Colón GJ, Beck A, Liu DD, Wilk AJ, Morri M, Trope WL, Bierman R, Weissman IL, Shrager JB, Quake SR, Kuo CS, Salzman J, Moerner W, Kim PS, Blish CA, Krasnow MA. Interstitial macrophages are a focus of viral takeover and inflammation in COVID-19 initiation in human lung. J Exp Med 2024; 221:e20232192. [PMID: 38597954 PMCID: PMC11009983 DOI: 10.1084/jem.20232192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 02/09/2024] [Accepted: 03/04/2024] [Indexed: 04/11/2024] Open
Abstract
Early stages of deadly respiratory diseases including COVID-19 are challenging to elucidate in humans. Here, we define cellular tropism and transcriptomic effects of SARS-CoV-2 virus by productively infecting healthy human lung tissue and using scRNA-seq to reconstruct the transcriptional program in "infection pseudotime" for individual lung cell types. SARS-CoV-2 predominantly infected activated interstitial macrophages (IMs), which can accumulate thousands of viral RNA molecules, taking over 60% of the cell transcriptome and forming dense viral RNA bodies while inducing host profibrotic (TGFB1, SPP1) and inflammatory (early interferon response, CCL2/7/8/13, CXCL10, and IL6/10) programs and destroying host cell architecture. Infected alveolar macrophages (AMs) showed none of these extreme responses. Spike-dependent viral entry into AMs used ACE2 and Sialoadhesin/CD169, whereas IM entry used DC-SIGN/CD209. These results identify activated IMs as a prominent site of viral takeover, the focus of inflammation and fibrosis, and suggest targeting CD209 to prevent early pathology in COVID-19 pneumonia. This approach can be generalized to any human lung infection and to evaluate therapeutics.
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Affiliation(s)
- Timothy Ting-Hsuan Wu
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
- Howard Hughes Medical Institute, San Francisco, CA, USA
| | - Kyle J. Travaglini
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
- Howard Hughes Medical Institute, San Francisco, CA, USA
| | - Arjun Rustagi
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Duo Xu
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
- Sarafan ChEM-H, Stanford University, Stanford, CA, USA
| | - Yue Zhang
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
- Howard Hughes Medical Institute, San Francisco, CA, USA
- Department of Biology, Stanford University, Stanford, CA, USA
| | - Leonid Andronov
- Department of Chemistry, Stanford University, Stanford, CA, USA
| | - SoRi Jang
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
- Howard Hughes Medical Institute, San Francisco, CA, USA
| | - Astrid Gillich
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
- Howard Hughes Medical Institute, San Francisco, CA, USA
| | - Roozbeh Dehghannasiri
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
| | - Giovanny J. Martínez-Colón
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Program in Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - Aimee Beck
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Daniel Dan Liu
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Aaron J. Wilk
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Program in Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Winston L. Trope
- Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Rob Bierman
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
| | - Irving L. Weissman
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Joseph B. Shrager
- Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, CA, USA
- Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA, USA
| | - Stephen R. Quake
- Chan Zuckerberg Biohub, San Francisco, CA, USA
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Christin S. Kuo
- Department of Pediatrics, Pulmonary Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Julia Salzman
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
| | - W.E. Moerner
- Department of Chemistry, Stanford University, Stanford, CA, USA
| | - Peter S. Kim
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
- Sarafan ChEM-H, Stanford University, Stanford, CA, USA
| | - Catherine A. Blish
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Program in Immunology, Stanford University School of Medicine, Stanford, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Mark A. Krasnow
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
- Vera Moulton Wall Center for Pulmonary Vascular Disease, Stanford University School of Medicine, Stanford, CA, USA
- Howard Hughes Medical Institute, San Francisco, CA, USA
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2
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De Sota RE, Quake SR, Sninsky JJ, Toden S. Decoding bioactive signals of the RNA secretome: the cell-free messenger RNA catalogue. Expert Rev Mol Med 2024; 26:e12. [PMID: 38682644 DOI: 10.1017/erm.2024.12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/01/2024]
Abstract
Despite gene-expression profiling being one of the most common methods to evaluate molecular dysregulation in tissues, the utilization of cell-free messenger RNA (cf-mRNA) as a blood-based non-invasive biomarker analyte has been limited compared to other RNA classes. Recent advancements in low-input RNA-sequencing and normalization techniques, however, have enabled characterization as well as accurate quantification of cf-mRNAs allowing direct pathological insights. The molecular profile of the cell-free transcriptome in multiple diseases has subsequently been characterized including, prenatal diseases, neurological disorders, liver diseases and cancers suggesting this biological compartment may serve as a disease agnostic platform. With mRNAs packaged in a myriad of extracellular vesicles and particles, these signals may be used to develop clinically actionable, non-invasive disease biomarkers. Here, we summarize the recent scientific developments of extracellular mRNA, biology of extracellular mRNA carriers, clinical utility of cf-mRNA as disease biomarkers, as well as proposed functions in cell and tissue pathophysiology.
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Affiliation(s)
- Rhys E De Sota
- Superfluid Dx., 259 E Grand Avenue, South San Francisco, CA 94080, USA
| | - Stephen R Quake
- Department of Bioengineering and Department of Applied Physics, Stanford University, Stanford, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - John J Sninsky
- Superfluid Dx., 259 E Grand Avenue, South San Francisco, CA 94080, USA
| | - Shusuke Toden
- Superfluid Dx., 259 E Grand Avenue, South San Francisco, CA 94080, USA
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3
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Moufarrej MN, Winn VD, Quake SR. Cell-Free Nucleic Acids for Early Prediction of Preeclampsia. Curr Hypertens Rep 2024; 26:175-182. [PMID: 38147201 DOI: 10.1007/s11906-023-01291-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/07/2023] [Indexed: 12/27/2023]
Abstract
PURPOSE OF REVIEW This review summarizes the potential of cell-free nucleic acids for predicting preeclampsia, contrasts them with other methods, and discusses these findings' relevance to preeclampsia's pathogenesis and care. RECENT FINDINGS Recent studies have demonstrated the utility of cell-free nucleic acids in early preeclampsia risk prediction. Encouragingly, nucleic acid measurement exhibits similar or better sensitivity as compared to standard screening assays and furthermore sheds light on preeclampsia's underlying placental biology. Over the past decade, liquid biopsies measuring cell-free nucleic acids have found diverse applications, including in prenatal care. Recent advances have extended their utility to predict preeclampsia, a major cause of maternal mortality. These assays assess methylation patterns in cell-free DNA (cfDNA) or gene levels in cell-free RNA (cfRNA). Currently, preeclampsia care focuses on blood pressure control, seizure prevention, and delivery. If validated, early prediction of preeclampsia through liquid biopsies can improve maternal health and deepen our understanding of its causes.
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Affiliation(s)
| | | | - Stephen R Quake
- Department of Bioengineering and Applied Physics, Stanford, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
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4
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Sun W, Liu Z, Jiang X, Chen MB, Dong H, Liu J, Südhof TC, Quake SR. Spatial transcriptomics reveal neuron-astrocyte synergy in long-term memory. Nature 2024; 627:374-381. [PMID: 38326616 PMCID: PMC10937396 DOI: 10.1038/s41586-023-07011-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 12/21/2023] [Indexed: 02/09/2024]
Abstract
Memory encodes past experiences, thereby enabling future plans. The basolateral amygdala is a centre of salience networks that underlie emotional experiences and thus has a key role in long-term fear memory formation1. Here we used spatial and single-cell transcriptomics to illuminate the cellular and molecular architecture of the role of the basolateral amygdala in long-term memory. We identified transcriptional signatures in subpopulations of neurons and astrocytes that were memory-specific and persisted for weeks. These transcriptional signatures implicate neuropeptide and BDNF signalling, MAPK and CREB activation, ubiquitination pathways, and synaptic connectivity as key components of long-term memory. Notably, upon long-term memory formation, a neuronal subpopulation defined by increased Penk and decreased Tac expression constituted the most prominent component of the memory engram of the basolateral amygdala. These transcriptional changes were observed both with single-cell RNA sequencing and with single-molecule spatial transcriptomics in intact slices, thereby providing a rich spatial map of a memory engram. The spatial data enabled us to determine that this neuronal subpopulation interacts with adjacent astrocytes, and functional experiments show that neurons require interactions with astrocytes to encode long-term memory.
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Affiliation(s)
- Wenfei Sun
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Zhihui Liu
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA, USA
- Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Xian Jiang
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Michelle B Chen
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Hua Dong
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Jonathan Liu
- Chan Zuckerberg Initiative, Redwood City, CA, USA
| | - Thomas C Südhof
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA, USA.
- Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA, USA.
| | - Stephen R Quake
- Department of Bioengineering, Stanford University, Stanford, CA, USA.
- Chan Zuckerberg Initiative, Redwood City, CA, USA.
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5
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Wang S, DeLeon C, Sun W, Quake SR, Roth BL, Südhof TC. Alternative splicing of latrophilin-3 controls synapse formation. Nature 2024; 626:128-135. [PMID: 38233523 PMCID: PMC10830413 DOI: 10.1038/s41586-023-06913-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 11/29/2023] [Indexed: 01/19/2024]
Abstract
The assembly and specification of synapses in the brain is incompletely understood1-3. Latrophilin-3 (encoded by Adgrl3, also known as Lphn3)-a postsynaptic adhesion G-protein-coupled receptor-mediates synapse formation in the hippocampus4 but the mechanisms involved remain unclear. Here we show in mice that LPHN3 organizes synapses through a convergent dual-pathway mechanism: activation of Gαs signalling and recruitment of phase-separated postsynaptic protein scaffolds. We found that cell-type-specific alternative splicing of Lphn3 controls the LPHN3 G-protein-coupling mode, resulting in LPHN3 variants that predominantly signal through Gαs or Gα12/13. CRISPR-mediated manipulation of Lphn3 alternative splicing that shifts LPHN3 from a Gαs- to a Gα12/13-coupled mode impaired synaptic connectivity as severely as the overall deletion of Lphn3, suggesting that Gαs signalling by LPHN3 splice variants mediates synapse formation. Notably, Gαs-coupled, but not Gα12/13-coupled, splice variants of LPHN3 also recruit phase-transitioned postsynaptic protein scaffold condensates, such that these condensates are clustered by binding of presynaptic teneurin and FLRT ligands to LPHN3. Moreover, neuronal activity promotes alternative splicing of the synaptogenic Gαs-coupled variant of LPHN3. Together, these data suggest that activity-dependent alternative splicing of a key synaptic adhesion molecule controls synapse formation by parallel activation of two convergent pathways: Gαs signalling and clustered phase separation of postsynaptic protein scaffolds.
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Affiliation(s)
- Shuai Wang
- Department of Molecular and Cellular Physiology, Stanford University, Stanford, CA, USA.
- Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA.
| | - Chelsea DeLeon
- Department of Pharmacology, UNC Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Wenfei Sun
- Department of Molecular and Cellular Physiology, Stanford University, Stanford, CA, USA
- Department of Applied Physics, Stanford University, Stanford, CA, USA
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Stephen R Quake
- Department of Applied Physics, Stanford University, Stanford, CA, USA
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- The Chan Zuckerberg Initiative, Redwood City, CA, USA
| | - Bryan L Roth
- Department of Pharmacology, UNC Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Thomas C Südhof
- Department of Molecular and Cellular Physiology, Stanford University, Stanford, CA, USA.
- Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA.
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6
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Zanini F, Che X, Suresh NE, Knutsen C, Klavina P, Xie Y, Domingo-Gonzalez R, Liu M, Kum A, Jones RC, Quake SR, Alvira CM, Cornfield DN. Hyperoxia prevents the dynamic neonatal increases in lung mesenchymal cell diversity. Sci Rep 2024; 14:2033. [PMID: 38263350 PMCID: PMC10805790 DOI: 10.1038/s41598-023-50717-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 12/23/2023] [Indexed: 01/25/2024] Open
Abstract
Rapid expansion of the pulmonary microvasculature through angiogenesis drives alveolarization, the final stage of lung development that occurs postnatally and dramatically increases lung gas-exchange surface area. Disruption of pulmonary angiogenesis induces long-term structural and physiologic lung abnormalities, including bronchopulmonary dysplasia, a disease characterized by compromised alveolarization. Although endothelial cells are primary determinants of pulmonary angiogenesis, mesenchymal cells (MC) play a critical and dual role in angiogenesis and alveolarization. Therefore, we performed single cell transcriptomics and in-situ imaging of the developing lung to profile mesenchymal cells during alveolarization and in the context of lung injury. Specific mesenchymal cell subtypes were present at birth with increasing diversity during alveolarization even while expressing a distinct transcriptomic profile from more mature correlates. Hyperoxia arrested the transcriptomic progression of the MC, revealed differential cell subtype vulnerability with pericytes and myofibroblasts most affected, altered cell to cell communication, and led to the emergence of Acta1 expressing cells. These insights hold the promise of targeted treatment for neonatal lung disease, which remains a major cause of infant morbidity and mortality across the world.
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Affiliation(s)
- Fabio Zanini
- School of Clinical Medicine, University of New South Wales, Sydney, Australia.
- Cellular Genomics Futures Institute, University of New South Wales, Sydney, NSW, Australia.
- Evolution & Ecology Research Centre, University of New South Wales, Sydney, NSW, Australia.
| | - Xibing Che
- Center for Excellence in Pulmonary Biology, Stanford University School of Medicine, Stanford, CA, USA
- Division of Pulmonary, Asthma and Sleep Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Nina E Suresh
- Center for Excellence in Pulmonary Biology, Stanford University School of Medicine, Stanford, CA, USA
- Division of Pulmonary, Asthma and Sleep Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Carsten Knutsen
- Center for Excellence in Pulmonary Biology, Stanford University School of Medicine, Stanford, CA, USA
- Division of Critical Care Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Paula Klavina
- School of Biochemistry and Immunology, Trinity College Dublin, Dublin, Ireland
| | - Yike Xie
- School of Clinical Medicine, University of New South Wales, Sydney, Australia
| | - Racquel Domingo-Gonzalez
- Center for Excellence in Pulmonary Biology, Stanford University School of Medicine, Stanford, CA, USA
- Division of Critical Care Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Min Liu
- Center for Excellence in Pulmonary Biology, Stanford University School of Medicine, Stanford, CA, USA
- Division of Critical Care Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Alexander Kum
- Center for Excellence in Pulmonary Biology, Stanford University School of Medicine, Stanford, CA, USA
- Division of Critical Care Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Robert C Jones
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Stephen R Quake
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
- Department of Applied Physics, Stanford University, Stanford, CA, USA
| | - Cristina M Alvira
- Center for Excellence in Pulmonary Biology, Stanford University School of Medicine, Stanford, CA, USA
- Division of Critical Care Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - David N Cornfield
- Center for Excellence in Pulmonary Biology, Stanford University School of Medicine, Stanford, CA, USA.
- Division of Pulmonary, Asthma and Sleep Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
- Chan Zuckerberg Biohub, San Francisco, CA, USA.
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7
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Wang C, Wang YJ, Ying L, Wong RJ, Quaintance CC, Hong X, Neff N, Wang X, Biggio JR, Mesiano S, Quake SR, Alvira CM, Cornfield DN, Stevenson DK, Shaw GM, Li J. Integrative analysis of noncoding mutations identifies the druggable genome in preterm birth. Sci Adv 2024; 10:eadk1057. [PMID: 38241369 PMCID: PMC10798565 DOI: 10.1126/sciadv.adk1057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 12/21/2023] [Indexed: 01/21/2024]
Abstract
Preterm birth affects ~10% of pregnancies in the US. Despite familial associations, identifying at-risk genetic loci has been challenging. We built deep learning and graphical models to score mutational effects at base resolution via integrating the pregnant myometrial epigenome and large-scale patient genomes with spontaneous preterm birth (sPTB) from European and African American cohorts. We uncovered previously unidentified sPTB genes that are involved in myometrial muscle relaxation and inflammatory responses and that are regulated by the progesterone receptor near labor onset. We studied genomic variants in these genes in our recruited pregnant women administered progestin prophylaxis. We observed that mutation burden in these genes was predictive of responses to progestin treatment for preterm birth. To advance therapeutic development, we screened ~4000 compounds, identified candidate molecules that affect our identified genes, and experimentally validated their therapeutic effects on regulating labor. Together, our integrative approach revealed the druggable genome in preterm birth and provided a generalizable framework for studying complex diseases.
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Affiliation(s)
- Cheng Wang
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, Bakar Computational Health Sciences Institute, Parker Institute for Cancer Immunotherapy, and Department of Neurology, School of Medicine, University of California, San Francisco, CA, USA
| | - Yuejun Jessie Wang
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, Bakar Computational Health Sciences Institute, Parker Institute for Cancer Immunotherapy, and Department of Neurology, School of Medicine, University of California, San Francisco, CA, USA
| | - Lihua Ying
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Ronald J. Wong
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Cecele C. Quaintance
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Xiumei Hong
- Center on the Early Life Origins of Disease, Department of Population Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Norma Neff
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Xiaobin Wang
- Center on the Early Life Origins of Disease, Department of Population Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Joseph R. Biggio
- Department of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
- Department of Obstetrics and Gynecology, Ochsner Health, New Orleans, LA, USA
| | - Sam Mesiano
- Department of Reproductive Biology, Case Western Reserve University and Department of Obstetrics and Gynecology, University Hospitals of Cleveland, Cleveland, OH, USA
| | - Stephen R. Quake
- Chan Zuckerberg Biohub, San Francisco, CA, USA
- Department of Bioengineering, Stanford University School of Medicine, Stanford, CA, USA
| | - Cristina M. Alvira
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - David N. Cornfield
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - David K. Stevenson
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Gary M. Shaw
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Jingjing Li
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, Bakar Computational Health Sciences Institute, Parker Institute for Cancer Immunotherapy, and Department of Neurology, School of Medicine, University of California, San Francisco, CA, USA
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8
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Ghita L, Yao Z, Xie Y, Duran V, Cagirici HB, Samir J, Osman I, Rebellón-Sánchez DE, Agudelo-Rojas OL, Sanz AM, Sahoo MK, Robinson ML, Gelvez-Ramirez RM, Bueno N, Luciani F, Pinsky BA, Montoya JG, Estupiñan-Cardenas MI, Villar-Centeno LA, Rojas-Garrido EM, Rosso F, Quake SR, Zanini F, Einav S. Global and cell type-specific immunological hallmarks of severe dengue progression identified via a systems immunology approach. Nat Immunol 2023; 24:2150-2163. [PMID: 37872316 PMCID: PMC10863980 DOI: 10.1038/s41590-023-01654-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 09/15/2023] [Indexed: 10/25/2023]
Abstract
Severe dengue (SD) is a major cause of morbidity and mortality. To define dengue virus (DENV) target cells and immunological hallmarks of SD progression in children's blood, we integrated two single-cell approaches capturing cellular and viral elements: virus-inclusive single-cell RNA sequencing (viscRNA-Seq 2) and targeted proteomics with secretome analysis and functional assays. Beyond myeloid cells, in natural infection, B cells harbor replicating DENV capable of infecting permissive cells. Alterations in cell type abundance, gene and protein expression and secretion as well as cell-cell communications point towards increased immune cell migration and inflammation in SD progressors. Concurrently, antigen-presenting cells from SD progressors demonstrate intact uptake yet impaired interferon response and antigen processing and presentation signatures, which are partly modulated by DENV. Increased activation, regulation and exhaustion of effector responses and expansion of HLA-DR-expressing adaptive-like NK cells also characterize SD progressors. These findings reveal DENV target cells in human blood and provide insight into SD pathogenesis beyond antibody-mediated enhancement.
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Affiliation(s)
- Luca Ghita
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Zhiyuan Yao
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Yike Xie
- School of Clinical Medicine, UNSW Sydney, Sydney, New South Wales, Australia
| | - Veronica Duran
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Chan Zuckerberg Biohub-San Francisco, San Francisco, CA, USA
| | - Halise Busra Cagirici
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Jerome Samir
- School of Biomedical Sciences, UNSW Sydney, Sydney, New South Wales, Australia
| | - Ilham Osman
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | | | | | - Ana Maria Sanz
- Clinical Research Center, Fundación Valle del Lili, Cali, Colombia
| | - Malaya Kumar Sahoo
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Makeda L Robinson
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Nathalia Bueno
- Centro de Atención y Diagnóstico de Enfermedades Infecciosas (CDI/Fundacion INFOVIDA), Bucaramanga, Colombia
| | - Fabio Luciani
- School of Biomedical Sciences, UNSW Sydney, Sydney, New South Wales, Australia
| | - Benjamin A Pinsky
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Jose G Montoya
- Palo Alto Medical Foundation and Dr. Jack S. Remington Laboratory for Speciality Diagnostics, Palo Alto, CA, USA
| | | | - Luis Angel Villar-Centeno
- Centro de Atención y Diagnóstico de Enfermedades Infecciosas (CDI/Fundacion INFOVIDA), Bucaramanga, Colombia
| | - Elsa Marina Rojas-Garrido
- Centro de Atención y Diagnóstico de Enfermedades Infecciosas (CDI/Fundacion INFOVIDA), Bucaramanga, Colombia
| | - Fernando Rosso
- Clinical Research Center, Fundación Valle del Lili, Cali, Colombia
- Division of Infectious Diseases, Department of Internal Medicine, Fundación Valle del Lili, Cali, Colombia
| | - Stephen R Quake
- Chan Zuckerberg Biohub-San Francisco, San Francisco, CA, USA
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Department of Applied Physics, Stanford University, Stanford, CA, USA
| | - Fabio Zanini
- School of Clinical Medicine, UNSW Sydney, Sydney, New South Wales, Australia.
- Cellular Genomics Futures Institute, UNSW Sydney, Sydney, New South Wales, Australia.
- Evolution and Ecology Research Centre, UNSW Sydney, Sydney, New South Wales, Australia.
| | - Shirit Einav
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
- Chan Zuckerberg Biohub-San Francisco, San Francisco, CA, USA.
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA.
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9
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Uhlen M, Quake SR. Sequential sequencing by synthesis and the next-generation sequencing revolution. Trends Biotechnol 2023; 41:1565-1572. [PMID: 37482467 DOI: 10.1016/j.tibtech.2023.06.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 06/11/2023] [Accepted: 06/15/2023] [Indexed: 07/25/2023]
Abstract
The impact of next-generation sequencing (NGS) cannot be overestimated. The technology has transformed the field of life science, contributing to a dramatic expansion in our understanding of human health and disease and our understanding of biology and ecology. The vast majority of the major NGS systems today are based on the concept of 'sequencing by synthesis' (SBS) with sequential detection of nucleotide incorporation using an engineered DNA polymerase. Based on this strategy, various alternative platforms have been developed, including the use of either native nucleotides or reversible terminators and different strategies for the attachment of DNA to a solid support. In this review, some of the key concepts leading to this remarkable development are discussed.
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Affiliation(s)
- Mathias Uhlen
- Science for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden; Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden.
| | - Stephen R Quake
- Departments of Bioengineering and Applied Physics, Stanford University, Stanford, CA, USA; Chan Zuckerberg Initiative, Redwood City, California, USA, Stanford, CA, USA
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10
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Meyers NL, Ashuach T, Lyons DE, Khalid MM, Simoneau CR, Erickson AL, Bouhaddou M, Nguyen TT, Kumar GR, Taha TY, Natarajan V, Baron JL, Neff N, Zanini F, Mahmoudi T, Quake SR, Krogan NJ, Cooper S, McDevitt TC, Yosef N, Ott M. Hepatitis C virus infects and perturbs liver stem cells. mBio 2023; 14:e0131823. [PMID: 37938000 PMCID: PMC10746249 DOI: 10.1128/mbio.01318-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 06/20/2023] [Indexed: 11/09/2023] Open
Abstract
Hepatitis C virus (HCV) is the leading cause of death from liver disease. How HCV infection causes lasting liver damage and increases cancer risk remains unclear. Here, we identify bipotent liver stem cells as novel targets for HCV infection, and their erroneous differentiation as the potential cause of impaired liver regeneration and cancer development. We show 3D organoids generated from liver stem cells from actively HCV-infected individuals carry replicating virus and maintain low-grade infection over months. Organoids can be infected with a primary HCV isolate. Virus-inclusive single-cell RNA sequencing uncovered transcriptional reprogramming in HCV+ cells supporting hepatocytic differentiation, cancer stem cell development, and viral replication while stem cell proliferation and interferon signaling are disrupted. Our data add a new pathogenesis mechanism-infection of liver stem cells-to the biology of HCV infection that may explain progressive liver damage and enhanced cancer risk through an altered stem cell state.ImportanceThe hepatitis C virus (HCV) causes liver disease, affecting millions. Even though we have effective antivirals that cure HCV, they cannot stop terminal liver disease. We used an adult stem cell-derived liver organoid system to understand how HCV infection leads to the progression of terminal liver disease. Here, we show that HCV maintains low-grade infections in liver organoids for the first time. HCV infection in liver organoids leads to transcriptional reprogramming causing cancer cell development and altered immune response. Our finding shows how HCV infection in liver organoids mimics HCV infection and patient pathogenesis. These results reveal that HCV infection in liver organoids contributes to liver disease progression.
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Affiliation(s)
| | - Tal Ashuach
- Department of Electrical Engineering and Computer Science and Center for Computational Biology, University of California Berkeley, Berkeley, California, USA
| | | | - Mir M. Khalid
- Gladstone Institute of Virology, San Francisco, California, USA
| | | | - Ann L. Erickson
- California Pacific Medical Center Research Institute, San Francisco, California, USA
| | - Mehdi Bouhaddou
- Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA
- Gladstone Institute of Data Science and Biotechnology, San Francisco, California, USA
- Quantitative Biosciences Institute, University of California, San Francisco, California, USA
| | - Thong T. Nguyen
- Gladstone Institute of Virology, San Francisco, California, USA
| | - G. Renuka Kumar
- Gladstone Institute of Virology, San Francisco, California, USA
| | - Taha Y. Taha
- Gladstone Institute of Virology, San Francisco, California, USA
| | - Vaishaali Natarajan
- Gladstone Institute of Cardiovascular Disease, San Francisco, California, USA
| | - Jody L. Baron
- Department of Medicine, University of California San Francisco, San Francisco, California, USA
| | - Norma Neff
- Chan Zuckerburg Biohub, San Francisco, California, USA
| | - Fabio Zanini
- Department of Bioengineering, Stanford University, Stanford, California, USA
| | - Tokameh Mahmoudi
- Department of Biochemistry, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Stephen R. Quake
- Chan Zuckerburg Biohub, San Francisco, California, USA
- Department of Bioengineering, Stanford University, Stanford, California, USA
| | - Nevan J. Krogan
- Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA
- Gladstone Institute of Data Science and Biotechnology, San Francisco, California, USA
- Quantitative Biosciences Institute, University of California, San Francisco, California, USA
| | - Stewart Cooper
- California Pacific Medical Center Research Institute, San Francisco, California, USA
| | - Todd C. McDevitt
- Gladstone Institute of Cardiovascular Disease, San Francisco, California, USA
- Bioengineering & Therapeutic Sciences, University of California San Francisco, San Francisco, California, USA
| | - Nir Yosef
- Department of Electrical Engineering and Computer Science and Center for Computational Biology, University of California Berkeley, Berkeley, California, USA
- Ragon Institute of Massachusetts General Hospital, MIT and Harvard, Cambridge, Massachusetts, USA
| | - Melanie Ott
- Gladstone Institute of Virology, San Francisco, California, USA
- Department of Medicine, University of California San Francisco, San Francisco, California, USA
- Chan Zuckerburg Biohub, San Francisco, California, USA
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11
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Vorperian SK, DeFelice BC, Buonomo JA, Chinchinian HJ, Gray IJ, Yan J, Mach KE, La V, Lee TJ, Liao JC, Lafayette R, Loeb GB, Bertozzi CR, Quake SR. Multiomics characterization of cell type repertoires for urine liquid biopsies. bioRxiv 2023:2023.10.20.563226. [PMID: 37961398 PMCID: PMC10634682 DOI: 10.1101/2023.10.20.563226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Urine is assayed alongside blood in medicine, yet current clinical diagnostic tests utilize only a small fraction of its total biomolecular repertoire, potentially foregoing high-resolution insights into human health and disease. In this work, we characterized the joint landscapes of transcriptomic and metabolomic signals in human urine. We also compared the urine transcriptome to plasma cell-free RNA, identifying a distinct cell type repertoire and enrichment for metabolic signal. Untargeted metabolomic measurements identified a complementary set of pathways to the transcriptomic analysis. Our findings suggest that urine is a promising biofluid yielding prognostic and detailed insights for hard-to-biopsy tissues with low representation in the blood, offering promise for a new generation of liquid biopsies.
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12
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McGee JP, Melani RD, Des Soye B, Croote D, Winton V, Quake SR, Kafader JO, Kelleher NL. Immunocomplexed Antigen Capture and Identification by Native Top-Down Mass Spectrometry. J Am Soc Mass Spectrom 2023; 34:2093-2097. [PMID: 37683262 PMCID: PMC10557138 DOI: 10.1021/jasms.3c00235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 08/26/2023] [Accepted: 09/01/2023] [Indexed: 09/10/2023]
Abstract
Antibody-antigen interactions are central to the immune response. Variation of protein antigens such as isoforms and post-translational modifications can alter their antibody binding sites. To directly connect the recognition of protein antigens with their molecular composition, we probed antibody-antigen complexes by using native tandem mass spectrometry. Specifically, we characterized the prominent peanut allergen Ara h 2 and a convergent IgE variable region discovered in patients who are allergic to peanuts. In addition to measuring the antigen-induced dimerization of IgE antibodies, we demonstrated how immunocomplexes can be isolated in the gas phase and activated to eject, identify, and characterize proteoforms of their bound antigens. Using tandem experiments, we isolated the ejected antigens and then fragmented them to identify their chemical composition. These results establish native top-down mass spectrometry as a viable platform for precise and thorough characterization of immunocomplexes to relate structure to function and enable the discovery of antigen proteoforms and their binding sites.
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Affiliation(s)
- John P. McGee
- Departments
of Chemistry and Molecular Biosciences and the Proteomics Center of
Excellence, Northwestern University, Evanston, Illinois 60208, United States
| | - Rafael D. Melani
- Departments
of Chemistry and Molecular Biosciences and the Proteomics Center of
Excellence, Northwestern University, Evanston, Illinois 60208, United States
| | - Ben Des Soye
- Departments
of Chemistry and Molecular Biosciences and the Proteomics Center of
Excellence, Northwestern University, Evanston, Illinois 60208, United States
| | - Derek Croote
- Department
of Bioengineering, Stanford University, Stanford, California 94305, United States
| | - Valerie Winton
- Departments
of Chemistry and Molecular Biosciences and the Proteomics Center of
Excellence, Northwestern University, Evanston, Illinois 60208, United States
| | - Stephen R. Quake
- Department
of Bioengineering, Stanford University, Stanford, California 94305, United States
- Department
of Applied Physics, Stanford University, Stanford, California 94305, United States
| | - Jared O. Kafader
- Departments
of Chemistry and Molecular Biosciences and the Proteomics Center of
Excellence, Northwestern University, Evanston, Illinois 60208, United States
| | - Neil L. Kelleher
- Departments
of Chemistry and Molecular Biosciences and the Proteomics Center of
Excellence, Northwestern University, Evanston, Illinois 60208, United States
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13
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Moufarrej MN, Quake SR. An inexpensive semi-automated sample processing pipeline for cell-free RNA extraction. Nat Protoc 2023; 18:2772-2793. [PMID: 37567931 DOI: 10.1038/s41596-023-00855-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 05/24/2023] [Indexed: 08/13/2023]
Abstract
Despite advances in automated liquid handling and microfluidics, preparing samples for RNA sequencing at scale generally requires expensive equipment, which is beyond the reach of many academic laboratories. Manual sample preparation remains a slow, expensive and error-prone process. Here, we describe a low-cost, semi-automated pipeline to extract cell-free RNA using one of two commercially available, inexpensive and open-source robotic systems: the Opentrons OT1.0 or OT2.0. Like many RNA isolation protocols, ours can be decomposed into three subparts: RNA extraction, DNA digestion and RNA cleaning and concentration. RT-qPCR data using a synthetic spike-in confirms comparable RNA quality to the gold standard, manual sample processing. The semi-automated pipeline also shows improvement in sample throughput (+12×), time spent (-11×), cost (-3×) and biohazardous waste produced (-4×) compared with its manual counterpart. This protocol enables cell-free RNA extraction from 96 samples simultaneously in 4.5 h; in practice, this dramatically improves the time to results, as we recently demonstrated. Importantly, any laboratory already has most of the parts required (manual pipette and corresponding tips and kits for RNA isolation, cleaning and concentration) to build a semi-automated sample processing pipeline of their own and would only need to purchase or three-dimensionally print a few extra parts (US$5.5 K-12 K in total). This pipeline is also generalizable for many nucleic acid extraction applications, thereby increasing the scale of studies, which can be performed in small research laboratories.
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Affiliation(s)
- Mira N Moufarrej
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- The Column Group, San Francisco, CA, USA
| | - Stephen R Quake
- Department of Bioengineering, Stanford University, Stanford, CA, USA.
- Chan Zuckerberg Initiative, Redwood City, CA, USA.
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14
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Abstract
Prenatal screening using sequencing of circulating cell-free DNA has transformed obstetric care over the past decade and significantly reduced the number of invasive diagnostic procedures like amniocentesis for genetic disorders. Nonetheless, emergency care remains the only option for complications like preeclampsia and preterm birth, two of the most prevalent obstetrical syndromes. Advances in noninvasive prenatal testing expand the scope of precision medicine in obstetric care. In this review, we discuss advances, challenges, and possibilities toward the goal of providing proactive, personalized prenatal care. The highlighted advances focus mainly on cell-free nucleic acids; however, we also review research that uses signals from metabolomics, proteomics, intact cells, and the microbiome. We discuss ethical challenges in providing care. Finally, we look to future possibilities, including redefining disease taxonomy and moving from biomarker correlation to biological causation.
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Affiliation(s)
| | - Diana W Bianchi
- Eunice Kennedy Shriver National Institute of Child Health and Human Development and Section on Prenatal Genomics and Fetal Therapy, Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Gary M Shaw
- Department of Pediatrics and March of Dimes Prematurity Research Center at Stanford University, Stanford University School of Medicine, Stanford, California, USA
| | - David K Stevenson
- Department of Pediatrics and March of Dimes Prematurity Research Center at Stanford University, Stanford University School of Medicine, Stanford, California, USA
| | - Stephen R Quake
- Department of Bioengineering and Department of Applied Physics, Stanford University, Stanford, California, USA
- Chan Zuckerberg Initiative, Redwood City, California, USA
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15
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Lu TC, Brbić M, Park YJ, Jackson T, Chen J, Kolluru SS, Qi Y, Katheder NS, Cai XT, Lee S, Chen YC, Auld N, Liang CY, Ding SH, Welsch D, D’Souza S, Pisco AO, Jones RC, Leskovec J, Lai EC, Bellen HJ, Luo L, Jasper H, Quake SR, Li H. Aging Fly Cell Atlas identifies exhaustive aging features at cellular resolution. Science 2023; 380:eadg0934. [PMID: 37319212 PMCID: PMC10829769 DOI: 10.1126/science.adg0934] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 05/04/2023] [Indexed: 06/17/2023]
Abstract
Aging is characterized by a decline in tissue function, but the underlying changes at cellular resolution across the organism remain unclear. Here, we present the Aging Fly Cell Atlas, a single-nucleus transcriptomic map of the whole aging Drosophila. We characterized 163 distinct cell types and performed an in-depth analysis of changes in tissue cell composition, gene expression, and cell identities. We further developed aging clock models to predict fly age and show that ribosomal gene expression is a conserved predictive factor for age. Combining all aging features, we find distinctive cell type-specific aging patterns. This atlas provides a valuable resource for studying fundamental principles of aging in complex organisms.
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Affiliation(s)
- Tzu-Chiao Lu
- Huffington Center on Aging, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Maria Brbić
- School of Computer and Communication Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
| | - Ye-Jin Park
- Huffington Center on Aging, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
- Program in Development, Disease Models & Therapeutics, Baylor College of Medicine, Houston, TX 77030, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children’s Hospital, Houston, TX 77030, USA
| | - Tyler Jackson
- Huffington Center on Aging, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
- Program in Cancer Cell Biology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jiaye Chen
- Huffington Center on Aging, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
- Program in Quantitative & Computational Biosciences, Baylor College of Medicine, Houston, TX 77030, USA
| | - Sai Saroja Kolluru
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Department of Applied Physics, Stanford University, Stanford, CA, USA
- Chan Zuckerberg Biohub, San Francisco CA, USA
| | - Yanyan Qi
- Huffington Center on Aging, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | | | - Xiaoyu Tracy Cai
- Regenerative Medicine, Genentech, Inc., South San Francisco, CA 94080, USA
| | - Seungjae Lee
- Developmental Biology Program, Sloan Kettering Institute, 1275 York Ave, New York, NY 10065, USA
| | - Yen-Chung Chen
- Department of Biology, New York University, New York, NY 10013, USA
| | - Niccole Auld
- Huffington Center on Aging, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
- Program in Cancer Cell Biology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Chung-Yi Liang
- Huffington Center on Aging, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
- Institute of Biochemistry and Molecular Biology, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Sophia H. Ding
- Huffington Center on Aging, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Doug Welsch
- Huffington Center on Aging, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | | | | | - Robert C. Jones
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Jure Leskovec
- Department of Computer Science, Stanford University, Stanford, CA 94305, USA
| | - Eric C. Lai
- Developmental Biology Program, Sloan Kettering Institute, 1275 York Ave, New York, NY 10065, USA
| | - Hugo J. Bellen
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
- Program in Development, Disease Models & Therapeutics, Baylor College of Medicine, Houston, TX 77030, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children’s Hospital, Houston, TX 77030, USA
| | - Liqun Luo
- Howard Hughes Medical Institute, Department of Biology, Stanford University, Stanford, CA 94305, USA
| | - Heinrich Jasper
- Regenerative Medicine, Genentech, Inc., South San Francisco, CA 94080, USA
| | - Stephen R. Quake
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Department of Applied Physics, Stanford University, Stanford, CA, USA
- Chan Zuckerberg Biohub, San Francisco CA, USA
| | - Hongjie Li
- Huffington Center on Aging, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
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16
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Chalasani N, Vuppalanchi R, Lammert C, Gawrieh S, Braun JV, Zhuang J, Ibarra A, Ross DA, Nerenberg M, Quake SR, Sninsky JJ, Toden S. Circulating cell-free messenger RNA secretome characterization of primary sclerosing cholangitis. Hepatol Commun 2023; 7:02009842-202306010-00018. [PMID: 37219869 DOI: 10.1097/hc9.0000000000000140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 01/26/2023] [Indexed: 05/24/2023] Open
Abstract
BACKGROUND Primary sclerosing cholangitis (PSC) is a rare chronic cholestatic liver disease characterized by multifocal bile duct strictures. To date, underlying molecular mechanisms of PSC remain unclear, and therapeutic options are limited. METHODS We performed cell-free messenger RNA (cf-mRNA) sequencing to characterize the circulating transcriptome of PSC and noninvasively investigate potentially bioactive signals that are associated with PSC. Serum cf-mRNA profiles were compared among 50 individuals with PSC, 20 healthy controls, and 235 individuals with NAFLD. Tissue and cell type-of-origin genes that are dysregulated in subjects with PSC were evaluated. Subsequently, diagnostic classifiers were developed using PSC dysregulated cf-mRNA genes. RESULTS Differential expression analysis of the cf-mRNA transcriptomes of PSC and healthy controls resulted in identification of 1407 dysregulated genes. Furthermore, differentially expressed genes between PSC and healthy controls or NAFLD shared common genes known to be involved in liver pathophysiology. In particular, genes from liver- and specific cell type-origin, including hepatocyte, HSCs, and KCs, were highly abundant in cf-mRNA of subjects with PSC. Gene cluster analysis revealed that liver-specific genes dysregulated in PSC form a distinct cluster, which corresponded to a subset of the PSC subject population. Finally, we developed a cf-mRNA diagnostic classifier using liver-specific genes that discriminated PSC from healthy control subjects using gene transcripts of liver origin. CONCLUSIONS Blood-based whole-transcriptome cf-mRNA profiling revealed high abundance of liver-specific genes in sera of subjects with PSC, which may be used to diagnose patients with PSC. We identified several unique cf-mRNA profiles of subjects with PSC. These findings may also have utility for noninvasive molecular stratification of subjects with PSC for pharmacotherapy safety and response studies.
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Affiliation(s)
- Naga Chalasani
- Department of Medicine, Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Raj Vuppalanchi
- Department of Medicine, Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Craig Lammert
- Department of Medicine, Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Samer Gawrieh
- Department of Medicine, Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Jerome V Braun
- Molecular Stethoscope Inc., South San Francisco, California, USA
| | - Jiali Zhuang
- Molecular Stethoscope Inc., South San Francisco, California, USA
| | - Arkaitz Ibarra
- Molecular Stethoscope Inc., South San Francisco, California, USA
| | - David A Ross
- Molecular Stethoscope Inc., South San Francisco, California, USA
| | | | - Stephen R Quake
- Department of Bioengineering and Department of Applied Physics; Stanford University, Stanford, California, USA
- Chan Zuckerberg Biohub, San Francisco, California, USA
| | - John J Sninsky
- Molecular Stethoscope Inc., South San Francisco, California, USA
| | - Shusuke Toden
- Molecular Stethoscope Inc., South San Francisco, California, USA
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17
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Zanini F, Che X, Knutsen C, Liu M, Suresh NE, Domingo-Gonzalez R, Dou SH, Zhang D, Pryhuber GS, Jones RC, Quake SR, Cornfield DN, Alvira CM. Developmental diversity and unique sensitivity to injury of lung endothelial subtypes during postnatal growth. iScience 2023; 26:106097. [PMID: 36879800 PMCID: PMC9984561 DOI: 10.1016/j.isci.2023.106097] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 12/20/2022] [Accepted: 01/25/2023] [Indexed: 02/01/2023] Open
Abstract
At birth, the lung is still immature, heightening susceptibility to injury but enhancing regenerative capacity. Angiogenesis drives postnatal lung development. Therefore, we profiled the transcriptional ontogeny and sensitivity to injury of pulmonary endothelial cells (EC) during early postnatal life. Although subtype speciation was evident at birth, immature lung EC exhibited transcriptomes distinct from mature counterparts, which progressed dynamically over time. Gradual, temporal changes in aerocyte capillary EC (CAP2) contrasted with more marked alterations in general capillary EC (CAP1) phenotype, including distinct CAP1 present only in the early alveolar lung expressing Peg3, a paternally imprinted transcription factor. Hyperoxia, an injury that impairs angiogenesis induced both common and unique endothelial gene signatures, dysregulated capillary EC crosstalk, and suppressed CAP1 proliferation while stimulating venous EC proliferation. These data highlight the diversity, transcriptomic evolution, and pleiotropic responses to injury of immature lung EC, possessing broad implications for lung development and injury across the lifespan.
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Affiliation(s)
- Fabio Zanini
- Prince of Wales Clinical School, Lowy Cancer Research Centre, University of New South Wales, Sydney, Kensington, NSW 2052, Australia
| | - Xibing Che
- Center for Excellence in Pulmonary Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
- Division of Pulmonary, Asthma and Sleep Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Carsten Knutsen
- Center for Excellence in Pulmonary Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
- Division of Critical Care Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Min Liu
- Center for Excellence in Pulmonary Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
- Division of Critical Care Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Nina E. Suresh
- Center for Excellence in Pulmonary Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
- Division of Pulmonary, Asthma and Sleep Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Racquel Domingo-Gonzalez
- Center for Excellence in Pulmonary Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
- Division of Critical Care Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Steve H. Dou
- Center for Excellence in Pulmonary Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
- Division of Critical Care Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Daoqin Zhang
- Center for Excellence in Pulmonary Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
- Division of Critical Care Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Gloria S. Pryhuber
- Division of Neonatology, Department of Pediatrics, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Robert C. Jones
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Stephen R. Quake
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
- Chan Zuckerberg Biohub, San Francisco, CA 94158, USA
- Department of Applied Physics, Stanford University, Stanford, CA 94305, USA
| | - David N. Cornfield
- Center for Excellence in Pulmonary Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
- Division of Pulmonary, Asthma and Sleep Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Cristina M. Alvira
- Center for Excellence in Pulmonary Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
- Division of Critical Care Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA
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18
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Quake SR. Prenatal Testing for Non-Medical Traits. Am J Bioeth 2023; 23:1-2. [PMID: 36919539 DOI: 10.1080/15265161.2023.2179776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
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19
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Swift M, Horns F, Quake SR. Lineage tracing reveals fate bias and transcriptional memory in human B cells. Life Sci Alliance 2023; 6:e202201792. [PMID: 36639222 PMCID: PMC9840405 DOI: 10.26508/lsa.202201792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 12/15/2022] [Accepted: 12/16/2022] [Indexed: 01/15/2023] Open
Abstract
We combined single-cell transcriptomics and lineage tracing to understand fate choice in human B cells. Using the antibody sequences of B cells, we tracked clones during in vitro differentiation. Clonal analysis revealed a subset of IgM+ B cells which were more proliferative than other B-cell types. Whereas the population of B cells adopted diverse states during differentiation, clones had a restricted set of fates available to them; there were two times more single-fate clones than expected given population-level cell-type diversity. This implicated a molecular memory of initial cell states that was propagated through differentiation. We then identified the genes which had strongest coherence within clones. These genes significantly overlapped known B-cell fate determination programs, suggesting the genes which determine cell identity are most robustly controlled on a clonal level. Persistent clonal identities were also observed in human plasma cells from bone marrow, indicating that these transcriptional programs maintain long-term cell identities in vivo. Thus, we show how cell-intrinsic fate bias influences differentiation outcomes in vitro and in vivo.
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Affiliation(s)
- Michael Swift
- Department of Chemical and Systems Biology, Stanford University, Stanford, CA, USA
| | - Felix Horns
- Division of Biology and Bioengineering, California Institute of Technology, Pasadena, CA, USA
| | - Stephen R Quake
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Department of Applied Physics, Stanford University, Stanford, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
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20
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Pham TH, Xue Y, Brewer SM, Bernstein KE, Quake SR, Monack DM. Single-cell profiling identifies ACE + granuloma macrophages as a nonpermissive niche for intracellular bacteria during persistent Salmonella infection. Sci Adv 2023; 9:eadd4333. [PMID: 36608122 PMCID: PMC9821941 DOI: 10.1126/sciadv.add4333] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 12/06/2022] [Indexed: 06/17/2023]
Abstract
Macrophages mediate key antimicrobial responses against intracellular bacterial pathogens, such as Salmonella enterica. Yet, they can also act as a permissive niche for these pathogens to persist in infected tissues within granulomas, which are immunological structures composed of macrophages and other immune cells. We apply single-cell transcriptomics to investigate macrophage functional diversity during persistent S. enterica serovar Typhimurium (STm) infection in mice. We identify determinants of macrophage heterogeneity in infected spleens and describe populations of distinct phenotypes, functional programming, and spatial localization. Using an STm mutant with impaired ability to polarize macrophage phenotypes, we find that angiotensin-converting enzyme (ACE) defines a granuloma macrophage population that is nonpermissive for intracellular bacteria, and their abundance anticorrelates with tissue bacterial burden. Disruption of pathogen control by neutralizing TNF is linked to preferential depletion of ACE+ macrophages in infected tissues. Thus, ACE+ macrophages have limited capacity to serve as cellular niche for intracellular bacteria to establish persistent infection.
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Affiliation(s)
- Trung H. M. Pham
- Department of Microbiology and Immunology, Stanford University, School of Medicine, Stanford, CA, USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Yuan Xue
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Susan M. Brewer
- Department of Microbiology and Immunology, Stanford University, School of Medicine, Stanford, CA, USA
| | - Kenneth E. Bernstein
- Department of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Stephen R. Quake
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Denise M. Monack
- Department of Microbiology and Immunology, Stanford University, School of Medicine, Stanford, CA, USA
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21
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Marić I, Contrepois K, Moufarrej MN, Stelzer IA, Feyaerts D, Han X, Tang A, Stanley N, Wong RJ, Traber GM, Ellenberger M, Chang AL, Fallahzadeh R, Nassar H, Becker M, Xenochristou M, Espinosa C, De Francesco D, Ghaemi MS, Costello EK, Culos A, Ling XB, Sylvester KG, Darmstadt GL, Winn VD, Shaw GM, Relman DA, Quake SR, Angst MS, Snyder MP, Stevenson DK, Gaudilliere B, Aghaeepour N. Early prediction and longitudinal modeling of preeclampsia from multiomics. Patterns (N Y) 2022; 3:100655. [PMID: 36569558 PMCID: PMC9768681 DOI: 10.1016/j.patter.2022.100655] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 09/28/2022] [Accepted: 11/11/2022] [Indexed: 12/13/2022]
Abstract
Preeclampsia is a complex disease of pregnancy whose physiopathology remains unclear. We developed machine-learning models for early prediction of preeclampsia (first 16 weeks of pregnancy) and over gestation by analyzing six omics datasets from a longitudinal cohort of pregnant women. For early pregnancy, a prediction model using nine urine metabolites had the highest accuracy and was validated on an independent cohort (area under the receiver-operating characteristic curve [AUC] = 0.88, 95% confidence interval [CI] [0.76, 0.99] cross-validated; AUC = 0.83, 95% CI [0.62,1] validated). Univariate analysis demonstrated statistical significance of identified metabolites. An integrated multiomics model further improved accuracy (AUC = 0.94). Several biological pathways were identified including tryptophan, caffeine, and arachidonic acid metabolisms. Integration with immune cytometry data suggested novel associations between immune and proteomic dynamics. While further validation in a larger population is necessary, these encouraging results can serve as a basis for a simple, early diagnostic test for preeclampsia.
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Affiliation(s)
- Ivana Marić
- Department of Pediatrics, Division of Neonatal and Developmental Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
- Corresponding author
| | - Kévin Contrepois
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Mira N. Moufarrej
- Departments of Bioengineering and Applied Physics, Stanford University and Chan Zuckerberg Biohub, Stanford, CA 94305, USA
| | - Ina A. Stelzer
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Dorien Feyaerts
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Xiaoyuan Han
- University of the Pacific, Arthur A. Dugoni School of Dentistry, San Francisco, CA 94103, USA
| | - Andy Tang
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Natalie Stanley
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Ronald J. Wong
- Department of Pediatrics, Division of Neonatal and Developmental Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Gavin M. Traber
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Mathew Ellenberger
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Alan L. Chang
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Ramin Fallahzadeh
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Huda Nassar
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Martin Becker
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Maria Xenochristou
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Camilo Espinosa
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Davide De Francesco
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Mohammad S. Ghaemi
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
- Digital Technologies Research Centre, National Research Council Canada, Toronto, Canada
| | - Elizabeth K. Costello
- Departments of Medicine, and of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Anthony Culos
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Xuefeng B. Ling
- Department of Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Karl G. Sylvester
- Department of Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Gary L. Darmstadt
- Department of Pediatrics, Division of Neonatal and Developmental Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Virginia D. Winn
- Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Gary M. Shaw
- Department of Pediatrics, Division of Neonatal and Developmental Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - David A. Relman
- Departments of Medicine, and of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA
- Infectious Diseases Section, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA 94304, USA
| | - Stephen R. Quake
- Departments of Bioengineering and Applied Physics, Stanford University and Chan Zuckerberg Biohub, Stanford, CA 94305, USA
| | - Martin S. Angst
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Michael P. Snyder
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - David K. Stevenson
- Department of Pediatrics, Division of Neonatal and Developmental Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Brice Gaudilliere
- Department of Pediatrics, Division of Neonatal and Developmental Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Nima Aghaeepour
- Department of Pediatrics, Division of Neonatal and Developmental Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
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22
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Hall RN, Weill U, Drees L, Leal-Ortiz S, Li H, Khariton M, Chai C, Xue Y, Rosental B, Quake SR, Sánchez Alvarado A, Melosh NA, Fire AZ, Rink JC, Wang B. Heterologous reporter expression in the planarian Schmidtea mediterranea through somatic mRNA transfection. Cell Rep Methods 2022; 2:100298. [PMID: 36313809 PMCID: PMC9606109 DOI: 10.1016/j.crmeth.2022.100298] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Revised: 06/11/2022] [Accepted: 08/25/2022] [Indexed: 06/16/2023]
Abstract
Planarians have long been studied for their regenerative abilities. Moving forward, tools for ectopic expression of non-native proteins will be of substantial value. Using a luminescent reporter to overcome the strong autofluorescence of planarian tissues, we demonstrate heterologous protein expression in planarian cells and live animals. Our approach is based on the introduction of mRNA through several nanotechnological and chemical transfection methods. We improve reporter expression by altering untranslated region (UTR) sequences and codon bias, facilitating the measurement of expression kinetics in both isolated cells and whole planarians using luminescence imaging. We also examine protein expression as a function of variations in the UTRs of delivered mRNA, demonstrating a framework to investigate gene regulation at the post-transcriptional level. Together, these advances expand the toolbox for the mechanistic analysis of planarian biology and establish a foundation for the development and expansion of transgenic techniques in this unique model system.
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Affiliation(s)
| | - Uri Weill
- Department of Tissue Dynamics and Regeneration, Max Planck Institute for Multidisciplinary Sciences, Göttingen 37077, Germany
| | - Leonard Drees
- Department of Tissue Dynamics and Regeneration, Max Planck Institute for Multidisciplinary Sciences, Göttingen 37077, Germany
| | - Sergio Leal-Ortiz
- Department of Materials Science and Engineering, Stanford University, Stanford, CA 94305, USA
| | - Hongquan Li
- Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA
| | - Margarita Khariton
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Chew Chai
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Yuan Xue
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Benyamin Rosental
- The Shraga Segal Department of Microbiology, Immunology, and Genetics, Faculty of Health Sciences, Center for Regenerative Medicine and Stem Cells, Ben Gurion University of the Negev, Beer-Sheva 84105, Israel
| | - Stephen R. Quake
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
- Department of Applied Physics, Stanford University, Stanford, CA 94305, USA
- Chan Zuckerberg Biohub, San Francisco, CA 94158, USA
| | - Alejandro Sánchez Alvarado
- Stowers Institute for Medical Research, Kansas City, MO 64110, USA
- Howard Hughes Medical Institute, Kansas City, MO 64110, USA
| | - Nicholas A. Melosh
- Department of Materials Science and Engineering, Stanford University, Stanford, CA 94305, USA
| | - Andrew Z. Fire
- Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Jochen C. Rink
- Department of Tissue Dynamics and Regeneration, Max Planck Institute for Multidisciplinary Sciences, Göttingen 37077, Germany
| | - Bo Wang
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
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23
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Li Q, van de Groep J, White AK, Song JH, Longwell SA, Fordyce PM, Quake SR, Kik PG, Brongersma ML. Metasurface optofluidics for dynamic control of light fields. Nat Nanotechnol 2022; 17:1097-1103. [PMID: 36163507 DOI: 10.1038/s41565-022-01197-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 07/18/2022] [Indexed: 06/16/2023]
Abstract
The ability to manipulate light and liquids on integrated optofluidics chips has spurred a myriad of important developments in biology, medicine, chemistry and display technologies. Here we show how the convergence of optofluidics and metasurface optics can lead to conceptually new platforms for the dynamic control of light fields. We first demonstrate metasurface building blocks that display an extreme sensitivity in their scattering properties to their dielectric environment. These blocks are then used to create metasurface-based flat optics inside microfluidic channels where liquids with different refractive indices can be directed to manipulate their optical behaviour. We demonstrate the intensity and spectral tuning of metasurface colour pixels as well as on-demand optical elements. We finally demonstrate automated control in an integrated meta-optofluidic platform to open up new display functions. Combined with large-scale microfluidic integration, our dynamic-metasurface flat-optics platform could open up the possibility of dynamic display, imaging, holography and sensing applications.
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Affiliation(s)
- Qitong Li
- Geballe Laboratory for Advanced Materials, Stanford University, Stanford, CA, USA
| | - Jorik van de Groep
- Geballe Laboratory for Advanced Materials, Stanford University, Stanford, CA, USA
- Van der Waals-Zeeman Institute for Experimental Physics, Institute of Physics, University of Amsterdam, Amsterdam, Netherlands
| | - Adam K White
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Jung-Hwan Song
- Geballe Laboratory for Advanced Materials, Stanford University, Stanford, CA, USA
| | - Scott A Longwell
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Polly M Fordyce
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Department of Genetics, Stanford University, Stanford, CA, USA
- ChEM-H Institute, Stanford University, Stanford, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Stephen R Quake
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
- Department of Applied Physics, Stanford University, Stanford, CA, USA
| | - Pieter G Kik
- Geballe Laboratory for Advanced Materials, Stanford University, Stanford, CA, USA
- CREOL, The College of Optics and Photonics, University of Central Florida, Orlando, FL, USA
| | - Mark L Brongersma
- Geballe Laboratory for Advanced Materials, Stanford University, Stanford, CA, USA.
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24
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Zhuang J, Ibarra A, Acosta A, Karns AP, Aballi J, Nerenberg M, Sninsky JJ, Quake SR, Toden S. Survey of extracellular communication of systemic and organ-specific inflammatory responses through cell free messenger RNA profiling in mice. EBioMedicine 2022; 83:104242. [PMID: 36054939 PMCID: PMC9437808 DOI: 10.1016/j.ebiom.2022.104242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 08/11/2022] [Accepted: 08/12/2022] [Indexed: 11/18/2022] Open
Abstract
Background Inflammatory and immune responses are essential and dynamic biological processes that protect the body against acute and chronic adverse stimuli. While conventional protein markers have been used to evaluate systemic inflammatory response, the immunological response to stimulation is complex and involves modulation of a large set of genes and interacting signalling pathways of innate and adaptive immune systems. There is a need for a non-invasive tool that can comprehensively evaluate and monitor molecular dysregulations associated with inflammatory and immune responses in circulation and in inaccessible solid organs. Methods Here we utilized cell-free messenger RNA (cf-mRNA) RNA-Seq whole transcriptome profiling and computational biology to temporally assess lipopolysaccharide (LPS) induced and JAK inhibitor modulated inflammatory and immune responses in mouse plasma samples. Findings Cf-mRNA profiling displayed a pattern of systemic immune responses elicited by LPS and dysregulation of associated pathways. Moreover, attenuation of several inflammatory pathways, including STAT and interferon pathways, were observed following the treatment of JAK inhibitor. We further identified the dysregulation of liver-specific transcripts in cf-mRNA which reflected changes in the gene-expression pattern in this generally inaccessible biological compartment. Interpretation Using a preclinical mouse model, we demonstrated the potential of plasma cf-mRNA profiling for systemic and organ-specific characterization of drug-induced molecular alterations that are associated with inflammatory and immune responses. Funding Molecular Stethoscope.
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Affiliation(s)
- Jiali Zhuang
- Molecular Stethoscope Inc., 259 E Grand Avenue, South San Francisco, CA 94080, United States
| | - Arkaitz Ibarra
- Molecular Stethoscope Inc., 259 E Grand Avenue, South San Francisco, CA 94080, United States
| | - Alexander Acosta
- Molecular Stethoscope Inc., 259 E Grand Avenue, South San Francisco, CA 94080, United States
| | - Amy P Karns
- Molecular Stethoscope Inc., 259 E Grand Avenue, South San Francisco, CA 94080, United States
| | - Jonathan Aballi
- Molecular Stethoscope Inc., 259 E Grand Avenue, South San Francisco, CA 94080, United States
| | - Michael Nerenberg
- Molecular Stethoscope Inc., 259 E Grand Avenue, South San Francisco, CA 94080, United States
| | - John J Sninsky
- Molecular Stethoscope Inc., 259 E Grand Avenue, South San Francisco, CA 94080, United States
| | - Stephen R Quake
- Department of Bioengineering and Department of Applied Physics, Stanford University and Chan Zuckerberg Biohub, Stanford, CA 94305, United States
| | - Shusuke Toden
- Molecular Stethoscope Inc., 259 E Grand Avenue, South San Francisco, CA 94080, United States.
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25
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Anselmi C, Kowarsky M, Gasparini F, Caicci F, Ishizuka KJ, Palmeri KJ, Raveh T, Sinha R, Neff N, Quake SR, Weissman IL, Voskoboynik A, Manni L. Two distinct evolutionary conserved neural degeneration pathways characterized in a colonial chordate. Proc Natl Acad Sci U S A 2022; 119:e2203032119. [PMID: 35858312 PMCID: PMC9303981 DOI: 10.1073/pnas.2203032119] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Accepted: 04/21/2022] [Indexed: 12/13/2022] Open
Abstract
Colonial tunicates are marine organisms that possess multiple brains simultaneously during their colonial phase. While the cyclical processes of neurogenesis and neurodegeneration characterizing their life cycle have been documented previously, the cellular and molecular changes associated with such processes and their relationship with variation in brain morphology and individual (zooid) behavior throughout adult life remains unknown. Here, we introduce Botryllus schlosseri as an invertebrate model for neurogenesis, neural degeneration, and evolutionary neuroscience. Our analysis reveals that during the weekly colony budding (i.e., asexual reproduction), prior to programmed cell death and removal by phagocytes, decreases in the number of neurons in the adult brain are associated with reduced behavioral response and significant change in the expression of 73 mammalian homologous genes associated with neurodegenerative disease. Similarly, when comparing young colonies (1 to 2 y of age) to those reared in a laboratory for ∼20 y, we found that older colonies contained significantly fewer neurons and exhibited reduced behavioral response alongside changes in the expression of 148 such genes (35 of which were differentially expressed across both timescales). The existence of two distinct yet apparently related neurodegenerative pathways represents a novel platform to study the gene products governing the relationship between aging, neural regeneration and degeneration, and loss of nervous system function. Indeed, as a member of an evolutionary clade considered to be a sister group of vertebrates, this organism may be a fundamental resource in understanding how evolution has shaped these processes across phylogeny and obtaining mechanistic insight.
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Affiliation(s)
- Chiara Anselmi
- Stanford University, Hopkins Marine Station, Pacific Grove, CA 93950
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305
| | - Mark Kowarsky
- Department of Physics, Stanford University, Stanford, CA 94305
| | - Fabio Gasparini
- Dipartimento di Biologia, Università degli Studi di Padova, 35131, Padova, Italy
| | - Federico Caicci
- Dipartimento di Biologia, Università degli Studi di Padova, 35131, Padova, Italy
| | | | - Karla J. Palmeri
- Stanford University, Hopkins Marine Station, Pacific Grove, CA 93950
| | - Tal Raveh
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305
| | - Rahul Sinha
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305
| | - Norma Neff
- Chan Zuckerberg Biohub, San Francisco CA 94158
| | - Stephen R. Quake
- Chan Zuckerberg Biohub, San Francisco CA 94158
- Departments of Applied Physics and Bioengineering, Stanford University, Stanford, CA 94305
| | - Irving L. Weissman
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305
- Chan Zuckerberg Biohub, San Francisco CA 94158
- Department of Biology, Stanford University, Hopkins Marine Station, Pacific Grove, CA 93950
| | - Ayelet Voskoboynik
- Stanford University, Hopkins Marine Station, Pacific Grove, CA 93950
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305
- Chan Zuckerberg Biohub, San Francisco CA 94158
- Department of Biology, Stanford University, Hopkins Marine Station, Pacific Grove, CA 93950
| | - Lucia Manni
- Dipartimento di Biologia, Università degli Studi di Padova, 35131, Padova, Italy
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26
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Duvall E, Benitez CM, Tellez K, Enge M, Pauerstein PT, Li L, Baek S, Quake SR, Smith JP, Sheffield NC, Kim SK, Arda HE. Single-cell transcriptome and accessible chromatin dynamics during endocrine pancreas development. Proc Natl Acad Sci U S A 2022; 119:e2201267119. [PMID: 35733248 PMCID: PMC9245718 DOI: 10.1073/pnas.2201267119] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Accepted: 05/10/2022] [Indexed: 12/24/2022] Open
Abstract
Delineating gene regulatory networks that orchestrate cell-type specification is a continuing challenge for developmental biologists. Single-cell analyses offer opportunities to address these challenges and accelerate discovery of rare cell lineage relationships and mechanisms underlying hierarchical lineage decisions. Here, we describe the molecular analysis of mouse pancreatic endocrine cell differentiation using single-cell transcriptomics, chromatin accessibility assays coupled to genetic labeling, and cytometry-based cell purification. We uncover transcription factor networks that delineate β-, α-, and δ-cell lineages. Through genomic footprint analysis, we identify transcription factor-regulatory DNA interactions governing pancreatic cell development at unprecedented resolution. Our analysis suggests that the transcription factor Neurog3 may act as a pioneer transcription factor to specify the pancreatic endocrine lineage. These findings could improve protocols to generate replacement endocrine cells from renewable sources, like stem cells, for diabetes therapy.
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Affiliation(s)
- Eliza Duvall
- Laboratory of Receptor Biology and Gene Expression, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892
| | - Cecil M. Benitez
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305
| | - Krissie Tellez
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305
| | - Martin Enge
- Department of Bioengineering and Applied Physics, Stanford University, Stanford, CA 94305
| | - Philip T. Pauerstein
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305
| | - Lingyu Li
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305
| | - Songjoon Baek
- Laboratory of Receptor Biology and Gene Expression, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892
| | - Stephen R. Quake
- Department of Bioengineering and Applied Physics, Stanford University, Stanford, CA 94305
- Chan Zuckerberg Biohub, San Francisco, CA 94158
| | - Jason P. Smith
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908
| | - Nathan C. Sheffield
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908
| | - Seung K. Kim
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305
- Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305
- Stanford Diabetes Research Center, Stanford University School of Medicine, Stanford, CA 94305
| | - H. Efsun Arda
- Laboratory of Receptor Biology and Gene Expression, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892
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27
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Xu J, Liu Y, Li H, Tarashansky AJ, Kalicki CH, Hung RJ, Hu Y, Comjean A, Kolluru SS, Wang B, Quake SR, Luo L, McMahon AP, Dow JAT, Perrimon N. Transcriptional and functional motifs defining renal function revealed by single-nucleus RNA sequencing. Proc Natl Acad Sci U S A 2022; 119:e2203179119. [PMID: 35696569 PMCID: PMC9231607 DOI: 10.1073/pnas.2203179119] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 05/11/2022] [Indexed: 01/09/2023] Open
Abstract
Recent advances in single-cell sequencing provide a unique opportunity to gain novel insights into the diversity, lineage, and functions of cell types constituting a tissue/organ. Here, we performed a single-nucleus study of the adult Drosophila renal system, consisting of Malpighian tubules and nephrocytes, which shares similarities with the mammalian kidney. We identified 11 distinct clusters representing renal stem cells, stellate cells, regionally specific principal cells, garland nephrocyte cells, and pericardial nephrocytes. Characterization of the transcription factors specific to each cluster identified fruitless (fru) as playing a role in stem cell regeneration and Hepatocyte nuclear factor 4 (Hnf4) in regulating glycogen and triglyceride metabolism. In addition, we identified a number of genes, including Rho guanine nucleotide exchange factor at 64C (RhoGEF64c), Frequenin 2 (Frq2), Prip, and CG1093 that are involved in regulating the unusual star shape of stellate cells. Importantly, the single-nucleus dataset allows visualization of the expression at the organ level of genes involved in ion transport and junctional permeability, providing a systems-level view of the organization and physiological roles of the tubules. Finally, a cross-species analysis allowed us to match the fly kidney cell types to mouse kidney cell types and planarian protonephridia, knowledge that will help the generation of kidney disease models. Altogether, our study provides a comprehensive resource for studying the fly kidney.
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Affiliation(s)
- Jun Xu
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Harvard University, Boston, MA 02115
| | - Yifang Liu
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Harvard University, Boston, MA 02115
| | - Hongjie Li
- Department of Biology, Stanford University, Stanford, CA 94305
- HHMI, Stanford University, Stanford, CA 94305
| | - Alexander J. Tarashansky
- Department of Bioengineering, Stanford University, Stanford, CA 94305
- Chan Zuckerberg Biohub, San Francisco, CA 94158
| | - Colin H. Kalicki
- Department of Bioengineering, Stanford University, Stanford, CA 94305
| | - Ruei-Jiun Hung
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Harvard University, Boston, MA 02115
| | - Yanhui Hu
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Harvard University, Boston, MA 02115
| | - Aram Comjean
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Harvard University, Boston, MA 02115
| | - Sai Saroja Kolluru
- Department of Bioengineering, Stanford University, Stanford, CA 94305
- Chan Zuckerberg Biohub, San Francisco, CA 94158
| | - Bo Wang
- Department of Bioengineering, Stanford University, Stanford, CA 94305
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305
| | - Stephen R. Quake
- Department of Bioengineering, Stanford University, Stanford, CA 94305
- Chan Zuckerberg Biohub, San Francisco, CA 94158
| | - Liqun Luo
- Department of Biology, Stanford University, Stanford, CA 94305
- HHMI, Stanford University, Stanford, CA 94305
| | - Andrew P. McMahon
- Department of Stem Cell Biology and Regenerative Medicine, Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90089
| | - Julian A. T. Dow
- Institute of Molecular, Cell & Systems Biology, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - Norbert Perrimon
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Harvard University, Boston, MA 02115
- HHMI, Harvard University, Boston, MA 02115
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28
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Xie Q, Li J, Li H, Udeshi ND, Svinkina T, Orlin D, Kohani S, Guajardo R, Mani DR, Xu C, Li T, Han S, Wei W, Shuster SA, Luginbuhl DJ, Quake SR, Murthy SE, Ting AY, Carr SA, Luo L. Transcription factor Acj6 controls dendrite targeting via a combinatorial cell-surface code. Neuron 2022; 110:2299-2314.e8. [PMID: 35613619 DOI: 10.1016/j.neuron.2022.04.026] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 03/11/2022] [Accepted: 04/26/2022] [Indexed: 12/13/2022]
Abstract
Transcription factors specify the fate and connectivity of developing neurons. We investigate how a lineage-specific transcription factor, Acj6, controls the precise dendrite targeting of Drosophila olfactory projection neurons (PNs) by regulating the expression of cell-surface proteins. Quantitative cell-surface proteomic profiling of wild-type and acj6 mutant PNs in intact developing brains, and a proteome-informed genetic screen identified PN surface proteins that execute Acj6-regulated wiring decisions. These include canonical cell adhesion molecules and proteins previously not associated with wiring, such as Piezo, whose mechanosensitive ion channel activity is dispensable for its function in PN dendrite targeting. Comprehensive genetic analyses revealed that Acj6 employs unique sets of cell-surface proteins in different PN types for dendrite targeting. Combined expression of Acj6 wiring executors rescued acj6 mutant phenotypes with higher efficacy and breadth than expression of individual executors. Thus, Acj6 controls wiring specificity of different neuron types by specifying distinct combinatorial expression of cell-surface executors.
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Affiliation(s)
- Qijing Xie
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA; Neurosciences Graduate Program, Stanford University, Stanford, CA 94305, USA
| | - Jiefu Li
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - Hongjie Li
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - Namrata D Udeshi
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Tanya Svinkina
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Daniel Orlin
- Vollum Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Sayeh Kohani
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - Ricardo Guajardo
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - D R Mani
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Chuanyun Xu
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - Tongchao Li
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - Shuo Han
- Departments of Genetics, Biology, and Chemistry, Chan Zuckerberg Biohub, Stanford University, Stanford, CA 94305, USA
| | - Wei Wei
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - S Andrew Shuster
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA; Neurosciences Graduate Program, Stanford University, Stanford, CA 94305, USA
| | - David J Luginbuhl
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - Stephen R Quake
- Departments of Bioengineering and Applied Physics, Chan Zuckerberg Biohub, Stanford University, Stanford, CA 94305, USA
| | - Swetha E Murthy
- Vollum Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Alice Y Ting
- Departments of Genetics, Biology, and Chemistry, Chan Zuckerberg Biohub, Stanford University, Stanford, CA 94305, USA
| | - Steven A Carr
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Liqun Luo
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA.
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29
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Jones RC, Karkanias J, Krasnow MA, Pisco AO, Quake SR, Salzman J, Yosef N, Bulthaup B, Brown P, Harper W, Hemenez M, Ponnusamy R, Salehi A, Sanagavarapu BA, Spallino E, Aaron KA, Concepcion W, Gardner JM, Kelly B, Neidlinger N, Wang Z, Crasta S, Kolluru S, Morri M, Pisco AO, Tan SY, Travaglini KJ, Xu C, Alcántara-Hernández M, Almanzar N, Antony J, Beyersdorf B, Burhan D, Calcuttawala K, Carter MM, Chan CKF, Chang CA, Chang S, Colville A, Crasta S, Culver RN, Cvijović I, D'Amato G, Ezran C, Galdos FX, Gillich A, Goodyer WR, Hang Y, Hayashi A, Houshdaran S, Huang X, Irwin JC, Jang S, Juanico JV, Kershner AM, Kim S, Kiss B, Kolluru S, Kong W, Kumar ME, Kuo AH, Leylek R, Li B, Loeb GB, Lu WJ, Mantri S, Markovic M, McAlpine PL, de Morree A, Morri M, Mrouj K, Mukherjee S, Muser T, Neuhöfer P, Nguyen TD, Perez K, Phansalkar R, Pisco AO, Puluca N, Qi Z, Rao P, Raquer-McKay H, Schaum N, Scott B, Seddighzadeh B, Segal J, Sen S, Sikandar S, Spencer SP, Steffes LC, Subramaniam VR, Swarup A, Swift M, Travaglini KJ, Van Treuren W, Trimm E, Veizades S, Vijayakumar S, Vo KC, Vorperian SK, Wang W, Weinstein HNW, Winkler J, Wu TTH, Xie J, Yung AR, Zhang Y, Detweiler AM, Mekonen H, Neff NF, Sit RV, Tan M, Yan J, Bean GR, Charu V, Forgó E, Martin BA, Ozawa MG, Silva O, Tan SY, Toland A, Vemuri VNP, Afik S, Awayan K, Botvinnik OB, Byrne A, Chen M, Dehghannasiri R, Detweiler AM, Gayoso A, Granados AA, Li Q, Mahmoudabadi G, McGeever A, de Morree A, Olivieri JE, Park M, Pisco AO, Ravikumar N, Salzman J, Stanley G, Swift M, Tan M, Tan W, Tarashansky AJ, Vanheusden R, Vorperian SK, Wang P, Wang S, Xing G, Xu C, Yosef N, Alcántara-Hernández M, Antony J, Chan CKF, Chang CA, Colville A, Crasta S, Culver R, Dethlefsen L, Ezran C, Gillich A, Hang Y, Ho PY, Irwin JC, Jang S, Kershner AM, Kong W, Kumar ME, Kuo AH, Leylek R, Liu S, Loeb GB, Lu WJ, Maltzman JS, Metzger RJ, de Morree A, Neuhöfer P, Perez K, Phansalkar R, Qi Z, Rao P, Raquer-McKay H, Sasagawa K, Scott B, Sinha R, Song H, Spencer SP, Swarup A, Swift M, Travaglini KJ, Trimm E, Veizades S, Vijayakumar S, Wang B, Wang W, Winkler J, Xie J, Yung AR, Artandi SE, Beachy PA, Clarke MF, Giudice LC, Huang FW, Huang KC, Idoyaga J, Kim SK, Krasnow M, Kuo CS, Nguyen P, Quake SR, Rando TA, Red-Horse K, Reiter J, Relman DA, Sonnenburg JL, Wang B, Wu A, Wu SM, Wyss-Coray T. The Tabula Sapiens: A multiple-organ, single-cell transcriptomic atlas of humans. Science 2022; 376:eabl4896. [PMID: 35549404 PMCID: PMC9812260 DOI: 10.1126/science.abl4896] [Citation(s) in RCA: 225] [Impact Index Per Article: 112.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Molecular characterization of cell types using single-cell transcriptome sequencing is revolutionizing cell biology and enabling new insights into the physiology of human organs. We created a human reference atlas comprising nearly 500,000 cells from 24 different tissues and organs, many from the same donor. This atlas enabled molecular characterization of more than 400 cell types, their distribution across tissues, and tissue-specific variation in gene expression. Using multiple tissues from a single donor enabled identification of the clonal distribution of T cells between tissues, identification of the tissue-specific mutation rate in B cells, and analysis of the cell cycle state and proliferative potential of shared cell types across tissues. Cell type-specific RNA splicing was discovered and analyzed across tissues within an individual.
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30
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Vorperian SK, Moufarrej MN, Quake SR. Publisher Correction: Cell types of origin of the cell-free transcriptome. Nat Biotechnol 2022; 40:974. [PMID: 35347330 PMCID: PMC9200630 DOI: 10.1038/s41587-022-01293-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Sevahn K Vorperian
- Department of Chemical Engineering, Stanford University, Stanford, CA, USA.,ChEM-H, Stanford University, Stanford, CA, USA
| | - Mira N Moufarrej
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | | | - Stephen R Quake
- Department of Bioengineering, Stanford University, Stanford, CA, USA. .,Department of Applied Physics, Stanford University, Stanford, CA, USA. .,Chan Zuckerberg Biohub, San Francisco, CA, USA.
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31
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Reinitz F, Chen EY, Nicolis di Robilant B, Chuluun B, Antony J, Jones RC, Gubbi N, Lee K, Ho WHD, Kolluru SS, Qian D, Adorno M, Piltti K, Anderson A, Monje M, Heller HC, Quake SR, Clarke MF. Inhibiting USP16 rescues stem cell aging and memory in an Alzheimer's model. eLife 2022; 11:66037. [PMID: 35311644 PMCID: PMC9122497 DOI: 10.7554/elife.66037] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 03/17/2022] [Indexed: 11/23/2022] Open
Abstract
Alzheimer’s disease (AD) is a progressive neurodegenerative disease observed with aging that represents the most common form of dementia. To date, therapies targeting end-stage disease plaques, tangles, or inflammation have limited efficacy. Therefore, we set out to identify a potential earlier targetable phenotype. Utilizing a mouse model of AD and human fetal cells harboring mutant amyloid precursor protein, we show cell intrinsic neural precursor cell (NPC) dysfunction precedes widespread inflammation and amyloid plaque pathology, making it the earliest defect in the evolution of the disease. We demonstrate that reversing impaired NPC self-renewal via genetic reduction of USP16, a histone modifier and critical physiological antagonist of the Polycomb Repressor Complex 1, can prevent downstream cognitive defects and decrease astrogliosis in vivo. Reduction of USP16 led to decreased expression of senescence gene Cdkn2a and mitigated aberrant regulation of the Bone Morphogenetic Signaling (BMP) pathway, a previously unknown function of USP16. Thus, we reveal USP16 as a novel target in an AD model that can both ameliorate the NPC defect and rescue memory and learning through its regulation of both Cdkn2a and BMP signaling.
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Affiliation(s)
- Felicia Reinitz
- Institute of Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, United States
| | - Elizabeth Y Chen
- Institute of Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, United States
| | - Benedetta Nicolis di Robilant
- Institute of Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, United States
| | | | - Jane Antony
- Institute of Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, United States
| | - Robert C Jones
- Department of Bioengineering, Stanford University, Stanford, United States
| | - Neha Gubbi
- Institute of Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, United States
| | - Karen Lee
- Institute of Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, United States
| | - William Hai Dang Ho
- Institute of Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, United States
| | - Sai Saroja Kolluru
- Department of Bioengineering, Stanford University, Stanford, United States
| | - Dalong Qian
- Institute of Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, United States
| | - Maddalena Adorno
- Institute of Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, United States
| | - Katja Piltti
- Sue and Bill Gross Stem Cell Research Center, University of California, Irvine, Irvine, United States
| | - Aileen Anderson
- Sue and Bill Gross Stem Cell Research Center, University of California, Irvine, Irvine, United States
| | - Michelle Monje
- Institute of Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, United States
| | - H Craig Heller
- Department of Biology, Stanford University, Stanford, United States
| | - Stephen R Quake
- Department of Bioengineering, Stanford University, Stanford, United States
| | - Michael F Clarke
- Institute of Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, United States
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32
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Li H, Janssens J, De Waegeneer M, Kolluru SS, Davie K, Gardeux V, Saelens W, David F, Brbić M, Spanier K, Leskovec J, McLaughlin CN, Xie Q, Jones RC, Brueckner K, Shim J, Tattikota SG, Schnorrer F, Rust K, Nystul TG, Carvalho-Santos Z, Ribeiro C, Pal S, Mahadevaraju S, Przytycka TM, Allen AM, Goodwin SF, Berry CW, Fuller MT, White-Cooper H, Matunis EL, DiNardo S, Galenza A, O’Brien LE, Dow JAT, Jasper H, Oliver B, Perrimon N, Deplancke B, Quake SR, Luo L, Aerts S, Agarwal D, Ahmed-Braimah Y, Arbeitman M, Ariss MM, Augsburger J, Ayush K, Baker CC, Banisch T, Birker K, Bodmer R, Bolival B, Brantley SE, Brill JA, Brown NC, Buehner NA, Cai XT, Cardoso-Figueiredo R, Casares F, Chang A, Clandinin TR, Crasta S, Desplan C, Detweiler AM, Dhakan DB, Donà E, Engert S, Floc'hlay S, George N, González-Segarra AJ, Groves AK, Gumbin S, Guo Y, Harris DE, Heifetz Y, Holtz SL, Horns F, Hudry B, Hung RJ, Jan YN, Jaszczak JS, Jefferis GSXE, Karkanias J, Karr TL, Katheder NS, Kezos J, Kim AA, Kim SK, Kockel L, Konstantinides N, Kornberg TB, Krause HM, Labott AT, Laturney M, Lehmann R, Leinwand S, Li J, Li JSS, Li K, Li K, Li L, Li T, Litovchenko M, Liu HH, Liu Y, Lu TC, Manning J, Mase A, Matera-Vatnick M, Matias NR, McDonough-Goldstein CE, McGeever A, McLachlan AD, Moreno-Roman P, Neff N, Neville M, Ngo S, Nielsen T, O'Brien CE, Osumi-Sutherland D, Özel MN, Papatheodorou I, Petkovic M, Pilgrim C, Pisco AO, Reisenman C, Sanders EN, Dos Santos G, Scott K, Sherlekar A, Shiu P, Sims D, Sit RV, Slaidina M, Smith HE, Sterne G, Su YH, Sutton D, Tamayo M, Tan M, Tastekin I, Treiber C, Vacek D, Vogler G, Waddell S, Wang W, Wilson RI, Wolfner MF, Wong YCE, Xie A, Xu J, Yamamoto S, Yan J, Yao Z, Yoda K, Zhu R, Zinzen RP. Fly Cell Atlas: A single-nucleus transcriptomic atlas of the adult fruit fly. Science 2022; 375:eabk2432. [PMID: 35239393 PMCID: PMC8944923 DOI: 10.1126/science.abk2432] [Citation(s) in RCA: 202] [Impact Index Per Article: 101.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
For more than 100 years, the fruit fly Drosophila melanogaster has been one of the most studied model organisms. Here, we present a single-cell atlas of the adult fly, Tabula Drosophilae, that includes 580,000 nuclei from 15 individually dissected sexed tissues as well as the entire head and body, annotated to >250 distinct cell types. We provide an in-depth analysis of cell type-related gene signatures and transcription factor markers, as well as sexual dimorphism, across the whole animal. Analysis of common cell types between tissues, such as blood and muscle cells, reveals rare cell types and tissue-specific subtypes. This atlas provides a valuable resource for the Drosophila community and serves as a reference to study genetic perturbations and disease models at single-cell resolution.
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Affiliation(s)
- Hongjie Li
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA,Huffington Center on Aging and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jasper Janssens
- VIB-KU Leuven Center for Brain & Disease Research, KU Leuven, Leuven 3000, Belgium,Laboratory of Computational Biology, Department of Human Genetics, KU Leuven, Leuven 3000, Belgium
| | - Maxime De Waegeneer
- VIB-KU Leuven Center for Brain & Disease Research, KU Leuven, Leuven 3000, Belgium,Laboratory of Computational Biology, Department of Human Genetics, KU Leuven, Leuven 3000, Belgium
| | - Sai Saroja Kolluru
- Departments of Bioengineering and Applied Physics, Stanford University, Stanford CA USA, and Chan Zuckerberg Biohub, San Francisco CA, USA
| | - Kristofer Davie
- VIB-KU Leuven Center for Brain & Disease Research, KU Leuven, Leuven 3000, Belgium
| | - Vincent Gardeux
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL) and Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland
| | - Wouter Saelens
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL) and Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland
| | - Fabrice David
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL) and Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland
| | - Maria Brbić
- Department of Computer Science, Stanford University, Stanford, CA 94305, USA, and Chan Zuckerberg Biohub, San Francisco CA, USA
| | - Katina Spanier
- VIB-KU Leuven Center for Brain & Disease Research, KU Leuven, Leuven 3000, Belgium,Laboratory of Computational Biology, Department of Human Genetics, KU Leuven, Leuven 3000, Belgium
| | - Jure Leskovec
- Department of Computer Science, Stanford University, Stanford, CA 94305, USA, and Chan Zuckerberg Biohub, San Francisco CA, USA
| | - Colleen N. McLaughlin
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - Qijing Xie
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - Robert C. Jones
- Departments of Bioengineering and Applied Physics, Stanford University, Stanford CA USA, and Chan Zuckerberg Biohub, San Francisco CA, USA
| | - Katja Brueckner
- Department of Cell and Tissue Biology, University of California, San Francisco, CA 94143, USA
| | - Jiwon Shim
- Department of Life Science, College of Natural Science, Hanyang University, Seoul, Republic of Korea 04763
| | - Sudhir Gopal Tattikota
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Harvard University, Boston, MA 02115; Howard Hughes Medical Institute, Boston, MA, USA
| | - Frank Schnorrer
- Aix-Marseille University, CNRS, IBDM (UMR 7288), Turing Centre for Living systems, 13009 Marseille, France
| | - Katja Rust
- Institute of Physiology and Pathophysiology, Department of Molecular Cell Physiology, Philipps-University, Marburg, Germany,Department of Anatomy, University of California, San Francisco, CA 94143, USA
| | - Todd G. Nystul
- Department of Anatomy, University of California, San Francisco, CA 94143, USA
| | - Zita Carvalho-Santos
- Behavior and Metabolism Laboratory, Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - Carlos Ribeiro
- Behavior and Metabolism Laboratory, Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - Soumitra Pal
- National Center of Biotechnology Information, National Library of Medicine, NIH, Bethesda, MD 20894, USA
| | - Sharvani Mahadevaraju
- Laboratory of Cellular and Developmental Biology, National Institute of Diabetes and Kidney and Digestive Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Teresa M. Przytycka
- National Center of Biotechnology Information, National Library of Medicine, NIH, Bethesda, MD 20894, USA
| | - Aaron M. Allen
- Centre for Neural Circuits & Behaviour, University of Oxford, Tinsley Building, Mansfield road, Oxford, OX1 3SR, UK
| | - Stephen F. Goodwin
- Centre for Neural Circuits & Behaviour, University of Oxford, Tinsley Building, Mansfield road, Oxford, OX1 3SR, UK
| | - Cameron W. Berry
- Department of Developmental Biology and Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Margaret T. Fuller
- Department of Developmental Biology and Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Helen White-Cooper
- Molecular Biosciences Division, Cardiff University, Cardiff, CF10 3AX UK
| | - Erika L. Matunis
- Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Stephen DiNardo
- Perelman School of Medicine, The University of Pennsylvania, and The Penn Institute for Regenerative Medicine Philadelphia, PA 19104, USA
| | - Anthony Galenza
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford CA 94305, USA
| | - Lucy Erin O’Brien
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford CA 94305, USA
| | - Julian A. T. Dow
- Institute of Molecular, Cell & Systems Biology, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK
| | - FCA Consortium
- FCA Consortium: All authors listed before Acknowledgements, and all contributions and affiliations listed in the Supplementary Materials
| | - Heinrich Jasper
- Immunology Discovery, Genentech, Inc., 1 DNA Way, South San Francisco, CA 94080, USA
| | - Brian Oliver
- Laboratory of Cellular and Developmental Biology, National Institute of Diabetes and Kidney and Digestive Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Norbert Perrimon
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Harvard University, Boston, MA 02115; Howard Hughes Medical Institute, Boston, MA, USA,corresponding authors: (N.P.), (B.D.), (S.R.Q.), (L.L.), (S.A.)
| | - Bart Deplancke
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL) and Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland,corresponding authors: (N.P.), (B.D.), (S.R.Q.), (L.L.), (S.A.)
| | - Stephen R. Quake
- Departments of Bioengineering and Applied Physics, Stanford University, Stanford CA USA, and Chan Zuckerberg Biohub, San Francisco CA, USA,corresponding authors: (N.P.), (B.D.), (S.R.Q.), (L.L.), (S.A.)
| | - Liqun Luo
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA,corresponding authors: (N.P.), (B.D.), (S.R.Q.), (L.L.), (S.A.)
| | - Stein Aerts
- VIB-KU Leuven Center for Brain & Disease Research, KU Leuven, Leuven 3000, Belgium,Laboratory of Computational Biology, Department of Human Genetics, KU Leuven, Leuven 3000, Belgium,corresponding authors: (N.P.), (B.D.), (S.R.Q.), (L.L.), (S.A.)
| | - Devika Agarwal
- MRC Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford OX3 9DS, UK
| | | | - Michelle Arbeitman
- Biomedical Sciences Department, Florida State University, Tallahassee, FL, USA
| | - Majd M Ariss
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Jordan Augsburger
- Department of Cell and Tissue Biology, University of California, San Francisco, CA 94143, USA
| | - Kumar Ayush
- Department of Computer Science, Stanford University, Stanford, CA 94305, USA
| | - Catherine C Baker
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Torsten Banisch
- Skirball Institute and HHMI, New York University Langone Medical Center, New York City, NY 10016, USA
| | - Katja Birker
- Development, Aging and Regeneration Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA
| | - Rolf Bodmer
- Development, Aging and Regeneration Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA
| | - Benjamin Bolival
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Susanna E Brantley
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Julie A Brill
- Cell Biology Program, The Hospital for Sick Children (SickKids), Toronto, ON M5G 0A4, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Nora C Brown
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA
| | - Norene A Buehner
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA
| | - Xiaoyu Tracy Cai
- Immunology Discovery, Genentech, Inc., South San Francisco, CA 94080, USA
| | - Rita Cardoso-Figueiredo
- Behavior and Metabolism Laboratory, Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - Fernando Casares
- CABD (Andalusian Centre for Developmental Biology), CSIC-UPO-JA, Seville 41013, Spain
| | - Amy Chang
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Thomas R Clandinin
- Department of Neurobiology, Stanford University, Stanford, CA 94305, USA
| | - Sheela Crasta
- Department of Bioengineering, Stanford University, Stanford, CA, USA.,Department of Applied Physics, Stanford University, Stanford, CA, USA.,Chan Zuckerberg Biohub, San Francisco CA, USA
| | - Claude Desplan
- Department of Biology, New York University, New York, New York 10003, USA
| | | | - Darshan B Dhakan
- Behavior and Metabolism Laboratory, Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - Erika Donà
- Neurobiology Division, MRC Laboratory of Molecular Biology, Cambridge CB2 0QH, UK
| | - Stefanie Engert
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Swann Floc'hlay
- VIB-KU Leuven Center for Brain and Disease Research, KU Leuven, Leuven 3000, Belgium.,Laboratory of Computational Biology, Department of Human Genetics, KU Leuven, Leuven 3000, Belgium
| | - Nancy George
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton CB10 1SD, UK
| | - Amanda J González-Segarra
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Andrew K Groves
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.,Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA
| | - Samantha Gumbin
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Yanmeng Guo
- Department of Physiology, Department of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, San Francisco, CA, USA
| | - Devon E Harris
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Yael Heifetz
- The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Stephen L Holtz
- Department of Neurobiology, Harvard Medical School, Boston, MA 02115, USA
| | - Felix Horns
- Department of Bioengineering and Biophysics Graduate Program, Stanford University, Stanford, CA 94305, USA
| | - Bruno Hudry
- Université Côte d'Azur, CNRS, INSERM, iBV, France
| | - Ruei-Jiun Hung
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Yuh Nung Jan
- Department of Physiology, Department of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, San Francisco, CA, USA
| | - Jacob S Jaszczak
- Department of Physiology, Department of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, San Francisco, CA, USA
| | | | | | - Timothy L Karr
- Biodesign Institute, Arizona State University, Tempe, AZ 85281, USA
| | | | - James Kezos
- Development, Aging and Regeneration Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA
| | - Anna A Kim
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA.,University of California, Santa Barbara, CA 93106, USA.,Uppsala University, Sweden
| | - Seung K Kim
- Department of Developmental Biology and Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.,Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Lutz Kockel
- Department of Developmental Biology and Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Nikolaos Konstantinides
- Institut Jacques Monod, Centre National de la Recherche Scientifique-UMR 7592, Université Paris Diderot, Paris, France
| | - Thomas B Kornberg
- Cardiovascular Research Institute, University of California, San Francisco, CA 94143, USA
| | - Henry M Krause
- Donnelly Centre for Cellular and Biomolecular Research, Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 3E1, Canada
| | - Andrew Thomas Labott
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Meghan Laturney
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Ruth Lehmann
- Skirball Institute, Department of Cell Biology and HHMI, New York University Langone Medical Center, New York City, NY 10016
| | - Sarah Leinwand
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Jiefu Li
- Howard Hughes Medical Institute, Department of Biology, Stanford University, Stanford, CA 94305, USA
| | - Joshua Shing Shun Li
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Kai Li
- Department of Physiology, Department of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, San Francisco, CA, USA
| | - Ke Li
- Department of Physiology, Department of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, San Francisco, CA, USA
| | - Liying Li
- Department of Physiology, Department of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, San Francisco, CA, USA
| | - Tun Li
- Department of Physiology, Department of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, San Francisco, CA, USA
| | - Maria Litovchenko
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland.,Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland
| | - Han-Hsuan Liu
- Department of Physiology, Department of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, San Francisco, CA, USA
| | - Yifang Liu
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Tzu-Chiao Lu
- Huffington Center on Aging, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jonathan Manning
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton CB10 1SD, UK
| | - Anjeli Mase
- Department of Cell and Tissue Biology, University of California, San Francisco, CA 94143, USA
| | | | - Neuza Reis Matias
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Caitlin E McDonough-Goldstein
- Department of Biology, Syracuse University, Syracuse, NY, USA.,Department of Evolutionary Biology, University of Vienna, Vienna, Austria
| | | | - Alex D McLachlan
- Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, Cambridge CB2 3DY, UK
| | - Paola Moreno-Roman
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Norma Neff
- Chan Zuckerberg Biohub, San Francisco CA, USA
| | - Megan Neville
- Centre for Neural Circuits and Behaviour, University of Oxford, Oxford OX1 3SR, UK
| | - Sang Ngo
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Tanja Nielsen
- Development, Aging and Regeneration Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA
| | - Caitlin E O'Brien
- Department of Physiology, Department of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, San Francisco, CA, USA
| | - David Osumi-Sutherland
- European Bioinformatics Institute (EMBL/EBI), Wellcome Trust Genome Campus, Cambridge, UK
| | | | - Irene Papatheodorou
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton CB10 1SD, UK
| | - Maja Petkovic
- Department of Physiology, Department of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, San Francisco, CA, USA
| | - Clare Pilgrim
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge CB2 3DY, UK
| | | | - Carolina Reisenman
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Erin Nicole Sanders
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Gilberto Dos Santos
- The Biological Laboratories, Harvard University, 16 Divinity Avenue, Cambridge, MA 02138, USA
| | - Kristin Scott
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Aparna Sherlekar
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Philip Shiu
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - David Sims
- MRC Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford OX3 9DS, UK
| | - Rene V Sit
- Chan Zuckerberg Biohub, San Francisco CA, USA
| | - Maija Slaidina
- Skirball Institute, Faculty of Medicine, New York University, New York, NY 10016
| | - Harold E Smith
- Genomics Core, National Institute of Diabetes and Digestive and Kidney Diseases, US National Institutes of Health, Bethesda, MD, USA
| | - Gabriella Sterne
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Yu-Han Su
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Daniel Sutton
- Graduate Program in Genetics and Genomics, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030 USA
| | - Marco Tamayo
- Development, Aging and Regeneration Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA
| | | | - Ibrahim Tastekin
- Behavior and Metabolism Laboratory, Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - Christoph Treiber
- Centre for Neural Circuits and Behaviour, University of Oxford, Tinsley Building, Mansfield Road, Oxford OX1 3TA, UK
| | - David Vacek
- Howard Hughes Medical Institute, Department of Biology, Stanford University, Stanford, CA 94305, USA
| | - Georg Vogler
- Development, Aging and Regeneration Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA
| | - Scott Waddell
- Centre for Neural Circuits and Behaviour, University of Oxford, Tinsley Building, Mansfield Road, Oxford OX1 3TA, UK
| | - Wanpeng Wang
- Cardiovascular Research Institute, University of California, San Francisco, CA 94143, USA
| | - Rachel I Wilson
- Department of Neurobiology, Harvard Medical School, Boston, MA 02115, USA
| | - Mariana F Wolfner
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA
| | - Yiu-Cheung E Wong
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Anthony Xie
- Howard Hughes Medical Institute, Department of Biology, Stanford University, Stanford, CA 94305, USA
| | - Jun Xu
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Shinya Yamamoto
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.,Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX 77030, USA
| | - Jia Yan
- Chan Zuckerberg Biohub, San Francisco CA, USA
| | - Zepeng Yao
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Kazuki Yoda
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Ruijun Zhu
- Department of Physiology, Department of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, San Francisco, CA, USA
| | - Robert P Zinzen
- Laboratory for Systems Biology of Neural Tissue Differentiation, Berlin Institute for Medical Systems Biology (BIMSB), Max Delbrueck Centre for Molecular Medicine (MDC) in the Helmholtz Association, Robert-Roessle-Strasse 12, 13125 Berlin, Germany
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Dai XQ, Camunas-Soler J, Briant LJB, Dos Santos T, Spigelman AF, Walker EM, Arrojo E Drigo R, Bautista A, Jones RC, Avrahami D, Lyon J, Nie A, Smith N, Zhang Y, Johnson J, Manning Fox JE, Michelakis ED, Light PE, Kaestner KH, Kim SK, Rorsman P, Stein RW, Quake SR, MacDonald PE. Heterogenous impairment of α cell function in type 2 diabetes is linked to cell maturation state. Cell Metab 2022; 34:256-268.e5. [PMID: 35108513 PMCID: PMC8852281 DOI: 10.1016/j.cmet.2021.12.021] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 10/08/2021] [Accepted: 12/22/2021] [Indexed: 02/03/2023]
Abstract
In diabetes, glucagon secretion from pancreatic α cells is dysregulated. The underlying mechanisms, and whether dysfunction occurs uniformly among cells, remain unclear. We examined α cells from human donors and mice using electrophysiological, transcriptomic, and computational approaches. Rising glucose suppresses α cell exocytosis by reducing P/Q-type Ca2+ channel activity, and this is disrupted in type 2 diabetes (T2D). Upon high-fat feeding of mice, α cells shift toward a "β cell-like" electrophysiological profile in concert with indications of impaired identity. In human α cells we identified links between cell membrane properties and cell surface signaling receptors, mitochondrial respiratory chain complex assembly, and cell maturation. Cell-type classification using machine learning of electrophysiology data demonstrated a heterogenous loss of "electrophysiologic identity" in α cells from donors with type 2 diabetes. Indeed, a subset of α cells with impaired exocytosis is defined by an enrichment in progenitor and lineage markers and upregulation of an immature transcriptomic phenotype, suggesting important links between α cell maturation state and dysfunction.
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Affiliation(s)
- Xiao-Qing Dai
- Department of Pharmacology, University of Alberta, Edmonton, AB T6G2R3, Canada; Alberta Diabetes Institute, University of Alberta, Edmonton, AB T6G2R3, Canada
| | - Joan Camunas-Soler
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA; Chan Zuckerberg Biohub, San Francisco, CA 94518, USA
| | - Linford J B Briant
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, Churchill Hospital, Oxford OX3 7LE, UK
| | - Theodore Dos Santos
- Department of Pharmacology, University of Alberta, Edmonton, AB T6G2R3, Canada; Alberta Diabetes Institute, University of Alberta, Edmonton, AB T6G2R3, Canada
| | - Aliya F Spigelman
- Department of Pharmacology, University of Alberta, Edmonton, AB T6G2R3, Canada; Alberta Diabetes Institute, University of Alberta, Edmonton, AB T6G2R3, Canada
| | - Emily M Walker
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48105, USA
| | - Rafael Arrojo E Drigo
- Department of Molecular Physiology and Biophysics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Austin Bautista
- Alberta Diabetes Institute, University of Alberta, Edmonton, AB T6G2R3, Canada
| | - Robert C Jones
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Dana Avrahami
- Endocrinology and Metabolism Department, Hadassah-Hebrew University Medical Centre, Jerusalem, Israel
| | - James Lyon
- Alberta Diabetes Institute, University of Alberta, Edmonton, AB T6G2R3, Canada
| | - Aifang Nie
- Department of Pharmacology, University of Alberta, Edmonton, AB T6G2R3, Canada; Alberta Diabetes Institute, University of Alberta, Edmonton, AB T6G2R3, Canada
| | - Nancy Smith
- Department of Pharmacology, University of Alberta, Edmonton, AB T6G2R3, Canada; Alberta Diabetes Institute, University of Alberta, Edmonton, AB T6G2R3, Canada
| | - Yongneng Zhang
- Department of Medicine, University of Alberta, Edmonton, AB T6G2R3, Canada
| | - Janyne Johnson
- Department of Pharmacology, University of Alberta, Edmonton, AB T6G2R3, Canada; Alberta Diabetes Institute, University of Alberta, Edmonton, AB T6G2R3, Canada
| | - Jocelyn E Manning Fox
- Department of Pharmacology, University of Alberta, Edmonton, AB T6G2R3, Canada; Alberta Diabetes Institute, University of Alberta, Edmonton, AB T6G2R3, Canada
| | | | - Peter E Light
- Department of Pharmacology, University of Alberta, Edmonton, AB T6G2R3, Canada; Alberta Diabetes Institute, University of Alberta, Edmonton, AB T6G2R3, Canada
| | - Klaus H Kaestner
- Department of Genetics and Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Seung K Kim
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305, USA; Stanford Diabetes Research Center, Stanford University, Stanford, CA 94305, USA
| | - Patrik Rorsman
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, Churchill Hospital, Oxford OX3 7LE, UK
| | - Roland W Stein
- Department of Molecular Physiology and Biophysics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Stephen R Quake
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA; Chan Zuckerberg Biohub, San Francisco, CA 94518, USA; Department of Applied Physics, Stanford University, Stanford, CA 94305, USA
| | - Patrick E MacDonald
- Department of Pharmacology, University of Alberta, Edmonton, AB T6G2R3, Canada; Alberta Diabetes Institute, University of Alberta, Edmonton, AB T6G2R3, Canada.
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34
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Moufarrej MN, Vorperian SK, Wong RJ, Campos AA, Quaintance CC, Sit RV, Tan M, Detweiler AM, Mekonen H, Neff NF, Baruch-Gravett C, Litch JA, Druzin ML, Winn VD, Shaw GM, Stevenson DK, Quake SR. Early prediction of preeclampsia in pregnancy with cell-free RNA. Nature 2022; 602:689-694. [PMID: 35140405 PMCID: PMC8971130 DOI: 10.1038/s41586-022-04410-z] [Citation(s) in RCA: 66] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 01/06/2022] [Indexed: 12/30/2022]
Abstract
Liquid biopsies that measure circulating cell-free RNA (cfRNA) offer an opportunity to study the development of pregnancy-related complications in a non-invasive manner and to bridge gaps in clinical care1-4. Here we used 404 blood samples from 199 pregnant mothers to identify and validate cfRNA transcriptomic changes that are associated with preeclampsia, a multi-organ syndrome that is the second largest cause of maternal death globally5. We find that changes in cfRNA gene expression between normotensive and preeclamptic mothers are marked and stable early in gestation, well before the onset of symptoms. These changes are enriched for genes specific to neuromuscular, endothelial and immune cell types and tissues that reflect key aspects of preeclampsia physiology6-9, suggest new hypotheses for disease progression and correlate with maternal organ health. This enabled the identification and independent validation of a panel of 18 genes that when measured between 5 and 16 weeks of gestation can form the basis of a liquid biopsy test that would identify mothers at risk of preeclampsia long before clinical symptoms manifest themselves. Tests based on these observations could help predict and manage who is at risk for preeclampsia-an important objective for obstetric care10,11.
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Affiliation(s)
- Mira N Moufarrej
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Sevahn K Vorperian
- ChEM-H and Department of Chemical Engineering, Stanford University, Stanford, CA, USA
| | - Ronald J Wong
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Ana A Campos
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Cecele C Quaintance
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Rene V Sit
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | | | | | | | | | | | - James A Litch
- Global Alliance to Prevent Prematurity and Stillbirth (GAPPS), Lynnwood, WA, USA
| | - Maurice L Druzin
- Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA, USA
| | - Virginia D Winn
- Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA, USA
| | - Gary M Shaw
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - David K Stevenson
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Stephen R Quake
- Department of Bioengineering, Stanford University, Stanford, CA, USA.
- Chan Zuckerberg Biohub, San Francisco, CA, USA.
- Department of Applied Physics, Stanford University, Stanford, CA, USA.
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35
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Quake SR. A decade of molecular cell atlases. Trends Genet 2022; 38:805-810. [DOI: 10.1016/j.tig.2022.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 01/06/2022] [Indexed: 10/19/2022]
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36
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Rasmussen M, Reddy M, Nolan R, Camunas-Soler J, Khodursky A, Scheller NM, Cantonwine DE, Engelbrechtsen L, Mi JD, Dutta A, Brundage T, Siddiqui F, Thao M, Gee EPS, La J, Baruch-Gravett C, Santillan MK, Deb S, Ame SM, Ali SM, Adkins M, DePristo MA, Lee M, Namsaraev E, Gybel-Brask DJ, Skibsted L, Litch JA, Santillan DA, Sazawal S, Tribe RM, Roberts JM, Jain M, Høgdall E, Holzman C, Quake SR, Elovitz MA, McElrath TF. RNA profiles reveal signatures of future health and disease in pregnancy. Nature 2022; 601:422-427. [PMID: 34987224 PMCID: PMC8770117 DOI: 10.1038/s41586-021-04249-w] [Citation(s) in RCA: 68] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 11/16/2021] [Indexed: 11/08/2022]
Abstract
Maternal morbidity and mortality continue to rise, and pre-eclampsia is a major driver of this burden1. Yet the ability to assess underlying pathophysiology before clinical presentation to enable identification of pregnancies at risk remains elusive. Here we demonstrate the ability of plasma cell-free RNA (cfRNA) to reveal patterns of normal pregnancy progression and determine the risk of developing pre-eclampsia months before clinical presentation. Our results centre on comprehensive transcriptome data from eight independent prospectively collected cohorts comprising 1,840 racially diverse pregnancies and retrospective analysis of 2,539 banked plasma samples. The pre-eclampsia data include 524 samples (72 cases and 452 non-cases) from two diverse independent cohorts collected 14.5 weeks (s.d., 4.5 weeks) before delivery. We show that cfRNA signatures from a single blood draw can track pregnancy progression at the placental, maternal and fetal levels and can robustly predict pre-eclampsia, with a sensitivity of 75% and a positive predictive value of 32.3% (s.d., 3%), which is superior to the state-of-the-art method2. cfRNA signatures of normal pregnancy progression and pre-eclampsia are independent of clinical factors, such as maternal age, body mass index and race, which cumulatively account for less than 1% of model variance. Further, the cfRNA signature for pre-eclampsia contains gene features linked to biological processes implicated in the underlying pathophysiology of pre-eclampsia.
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Affiliation(s)
| | | | - Rory Nolan
- Mirvie, Inc., South San Francisco, CA, USA
| | | | | | - Nikolai M Scheller
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | | | - Line Engelbrechtsen
- Department of Obstetrics and Gynecology, Herlev University Hospital, Herlev, Denmark
| | - Jia Dai Mi
- Department of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, St Thomas' Hospital Campus, London, UK
| | - Arup Dutta
- Center for Public Health Kinetics, New Delhi, India
| | | | | | | | | | - Johnny La
- Mirvie, Inc., South San Francisco, CA, USA
| | | | - Mark K Santillan
- Department of Obstetrics & Gynecology, University of Iowa Hospitals & Clinics, Iowa City, IA, USA
| | - Saikat Deb
- Center for Public Health Kinetics, New Delhi, India
- Public Health Laboratory-Idc, Pemba, Zanzibar, Tanzania
| | - Shaali M Ame
- Public Health Laboratory-Idc, Pemba, Zanzibar, Tanzania
| | - Said M Ali
- Public Health Laboratory-Idc, Pemba, Zanzibar, Tanzania
| | | | | | | | | | - Dorte Jensen Gybel-Brask
- Department of Obstetrics, Zealand University Hospital, Roskilde, Denmark
- Department of Pathology, Herlev University Hospital, Herlev, Denmark
| | - Lillian Skibsted
- Department of Obstetrics, Zealand University Hospital, Roskilde, Denmark
| | - James A Litch
- Global Alliance to Prevent Prematurity and Stillbirth (GAPPS), Lynnwood, WA, USA
| | - Donna A Santillan
- Department of Obstetrics & Gynecology, University of Iowa Hospitals & Clinics, Iowa City, IA, USA
| | | | - Rachel M Tribe
- Department of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, St Thomas' Hospital Campus, London, UK
| | - James M Roberts
- Magee-Womens Research Institute, Department of Obstetrics and Gynecology and Reproductive Sciences, Epidemiology and Clinical and Translational Research University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Estrid Høgdall
- Department of Pathology, Herlev University Hospital, Herlev, Denmark
| | | | - Stephen R Quake
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Chan Zuckerberg Biohub, Stanford, CA, USA
- Department of Applied Physics, Stanford University, Stanford, CA, USA
| | - Michal A Elovitz
- Mirvie, Inc., South San Francisco, CA, USA.
- Maternal and Child Health Research Program, Department of Obstetrics and Gynecology, University of Pennsylvania School of Medicine, Philadelphia, PA, USA.
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37
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Kuo CS, Darmanis S, Diaz de Arce A, Liu Y, Almanzar N, Wu TTH, Quake SR, Krasnow MA. Neuroendocrinology of the lung revealed by single-cell RNA sequencing. eLife 2022; 11:78216. [PMID: 36469459 PMCID: PMC9721618 DOI: 10.7554/elife.78216] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Accepted: 11/15/2022] [Indexed: 12/12/2022] Open
Abstract
Pulmonary neuroendocrine cells (PNECs) are sensory epithelial cells that transmit airway status to the brain via sensory neurons and locally via calcitonin gene-related peptide (CGRP) and γ- aminobutyric acid (GABA). Several other neuropeptides and neurotransmitters have been detected in various species, but the number, targets, functions, and conservation of PNEC signals are largely unknown. We used scRNAseq to profile hundreds of the rare mouse and human PNECs. This revealed over 40 PNEC neuropeptide and peptide hormone genes, most cells expressing unique combinations of 5-18 genes. Peptides are packaged in separate vesicles, their release presumably regulated by the distinct, multimodal combinations of sensors we show are expressed by each PNEC. Expression of the peptide receptors predicts an array of local cell targets, and we show the new PNEC signal angiotensin directly activates one subtype of innervating sensory neuron. Many signals lack lung targets so may have endocrine activity like those of PNEC-derived carcinoid tumors. PNECs are an extraordinarily rich and diverse signaling hub rivaling the enteroendocrine system.
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Affiliation(s)
- Christin S Kuo
- Department of Pediatrics, Stanford University School of MedicineStanfordUnited States,Department of Biochemistry and Howard Hughes Medical Institute, Stanford UniversityStanfordUnited States
| | - Spyros Darmanis
- Department of Bioengineering, Stanford UniversityStanfordUnited States
| | - Alex Diaz de Arce
- Department of Biochemistry and Howard Hughes Medical Institute, Stanford UniversityStanfordUnited States
| | - Yin Liu
- Department of Biochemistry and Howard Hughes Medical Institute, Stanford UniversityStanfordUnited States
| | - Nicole Almanzar
- Department of Pediatrics, Stanford University School of MedicineStanfordUnited States
| | - Timothy Ting-Hsuan Wu
- Department of Biochemistry and Howard Hughes Medical Institute, Stanford UniversityStanfordUnited States
| | - Stephen R Quake
- Department of Bioengineering, Stanford UniversityStanfordUnited States,Chan-Zuckerburg BiohubSan FranciscoUnited States
| | - Mark A Krasnow
- Department of Biochemistry and Howard Hughes Medical Institute, Stanford UniversityStanfordUnited States
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38
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Isakova A, Neff N, Quake SR. Single-cell quantification of a broad RNA spectrum reveals unique noncoding patterns associated with cell types and states. Proc Natl Acad Sci U S A 2021; 118:e2113568118. [PMID: 34911763 PMCID: PMC8713755 DOI: 10.1073/pnas.2113568118] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/10/2021] [Indexed: 12/22/2022] Open
Abstract
The ability to interrogate total RNA content of single cells would enable better mapping of the transcriptional logic behind emerging cell types and states. However, current single-cell RNA-sequencing (RNA-seq) methods are unable to simultaneously monitor all forms of RNA transcripts at the single-cell level, and thus deliver only a partial snapshot of the cellular RNAome. Here we describe Smart-seq-total, a method capable of assaying a broad spectrum of coding and noncoding RNA from a single cell. Smart-seq-total does not require splitting the RNA content of a cell and allows the incorporation of unique molecular identifiers into short and long RNA molecules for absolute quantification. It outperforms current poly(A)-independent total RNA-seq protocols by capturing transcripts of a broad size range, thus enabling simultaneous analysis of protein-coding, long-noncoding, microRNA, and other noncoding RNA transcripts from single cells. We used Smart-seq-total to analyze the total RNAome of human primary fibroblasts, HEK293T, and MCF7 cells, as well as that of induced murine embryonic stem cells differentiated into embryoid bodies. By analyzing the coexpression patterns of both noncoding RNA and mRNA from the same cell, we were able to discover new roles of noncoding RNA throughout essential processes, such as cell cycle and lineage commitment during embryonic development. Moreover, we show that independent classes of short-noncoding RNA can be used to determine cell-type identity.
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Affiliation(s)
- Alina Isakova
- Department of Bioengineering, Stanford University, Stanford, CA 94305
| | - Norma Neff
- Chan Zuckerberg Biohub, San Francisco, CA 94158
| | - Stephen R Quake
- Department of Bioengineering, Stanford University, Stanford, CA 94305;
- Chan Zuckerberg Biohub, San Francisco, CA 94158
- Department of Applied Physics, Stanford University, Stanford, CA 94305
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39
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Phansalkar R, Krieger J, Zhao M, Kolluru SS, Jones RC, Quake SR, Weissman I, Bernstein D, Winn VD, D'Amato G, Red-Horse K. Coronary blood vessels from distinct origins converge to equivalent states during mouse and human development. eLife 2021; 10:70246. [PMID: 34910626 PMCID: PMC8673841 DOI: 10.7554/elife.70246] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Accepted: 12/02/2021] [Indexed: 12/17/2022] Open
Abstract
Most cell fate trajectories during development follow a diverging, tree-like branching pattern, but the opposite can occur when distinct progenitors contribute to the same cell type. During this convergent differentiation, it is unknown if cells ‘remember’ their origins transcriptionally or whether this influences cell behavior. Most coronary blood vessels of the heart develop from two different progenitor sources—the endocardium (Endo) and sinus venosus (SV)—but whether transcriptional or functional differences related to origin are retained is unknown. We addressed this by combining lineage tracing with single-cell RNA sequencing (scRNAseq) in embryonic and adult mouse hearts. Shortly after coronary development begins, capillary endothelial cells (ECs) transcriptionally segregated into two states that retained progenitor-specific gene expression. Later in development, when the coronary vasculature is well established but still remodeling, capillary ECs again segregated into two populations, but transcriptional differences were primarily related to tissue localization rather than lineage. Specifically, ECs in the heart septum expressed genes indicative of increased local hypoxia and decreased blood flow. Adult capillary ECs were more homogeneous with respect to both lineage and location. In agreement, SV- and Endo-derived ECs in adult hearts displayed similar responses to injury. Finally, scRNAseq of developing human coronary vessels indicated that the human heart followed similar principles. Thus, over the course of development, transcriptional heterogeneity in coronary ECs is first influenced by lineage, then by location, until heterogeneity declines in the homeostatic adult heart. These results highlight the plasticity of ECs during development, and the validity of the mouse as a model for human coronary development.
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Affiliation(s)
- Ragini Phansalkar
- Department of Genetics, Stanford University School of Medicine, Stanford, United States.,Department of Biology, Stanford University, Stanford, United States
| | | | - Mingming Zhao
- Division of Pediatric Cardiology, Department of Pediatrics, Stanford University School of Medicine, Stanford, United States.,Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, United States
| | - Sai Saroja Kolluru
- Department of Bioengineering and Department of Applied Physics, Stanford University, Stanford, United States.,Chan Zuckerberg Biohub, Stanford, United States
| | - Robert C Jones
- Department of Bioengineering and Department of Applied Physics, Stanford University, Stanford, United States
| | - Stephen R Quake
- Department of Bioengineering and Department of Applied Physics, Stanford University, Stanford, United States.,Chan Zuckerberg Biohub, Stanford, United States
| | - Irving Weissman
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, United States
| | - Daniel Bernstein
- Division of Pediatric Cardiology, Department of Pediatrics, Stanford University School of Medicine, Stanford, United States.,Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, United States
| | - Virginia D Winn
- Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, United States
| | - Gaetano D'Amato
- Department of Biology, Stanford University, Stanford, United States
| | - Kristy Red-Horse
- Department of Biology, Stanford University, Stanford, United States.,Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, United States.,Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, United States
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40
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Abstract
The discovery of extremophiles helped enable the development of groundbreaking technology such as PCR. Temperature variation is often an essential step of these technology platforms, but the effect of temperature on the error rate of polymerases from different origins is underexplored. Here, we applied high-throughput sequencing to profile the error rates of DNA polymerases from psychrophilic, mesophilic, and thermophilic origins with single-molecule resolution. We found that the reaction temperature substantially increases substitution and deletion error rates of psychrophilic and mesophilic DNA polymerases. Our motif analysis shows that the substitution error profiles cluster according to phylogenetic similarity of polymerases, not the reaction temperature, thus suggesting that the reaction temperature increases the global error rate of polymerases independent of the sequence context. Intriguingly, we also found that the DNA polymerase I of psychrophilic bacteria exhibits higher polymerization activity than its mesophilic ortholog across all temperature ranges, including down to −19 °C, which is well below the freezing temperature of water. Our results provide a useful reference for how the reaction temperature, a crucial parameter of biochemistry, can affect DNA polymerase fidelity in organisms adapted to a wide range of thermal environments.
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Affiliation(s)
- Yuan Xue
- Department of Bioengineering, Stanford University, Stanford, California, USA
| | - Ido Braslavsky
- The Robert H. Smith Faculty of Agriculture, Food and Environment, Institute of Biochemistry, Food Science and Nutrition, The Hebrew University of Jerusalem, Rehovot, Israel
| | - Stephen R Quake
- Department of Bioengineering, Stanford University, Stanford, California, USA; Department of Applied Physics, Stanford University, Stanford, California, USA; Chan Zuckerberg Biohub, Mission Bay, California, USA.
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41
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Cable J, Elowitz MB, Domingos AI, Habib N, Itzkovitz S, Hamidzada H, Balzer MS, Yanai I, Liberali P, Whited J, Streets A, Cai L, Stergachis AB, Hong CKY, Keren L, Guilliams M, Alon U, Shalek AK, Hamel R, Pfau SJ, Raj A, Quake SR, Zhang NR, Fan J, Trapnell C, Wang B, Greenwald NF, Vento-Tormo R, Santos SDM, Spencer SL, Garcia HG, Arekatla G, Gaiti F, Arbel-Goren R, Rulands S, Junker JP, Klein AM, Morris SA, Murray JI, Galloway KE, Ratz M, Romeike M. Single cell biology-a Keystone Symposia report. Ann N Y Acad Sci 2021; 1506:74-97. [PMID: 34605044 DOI: 10.1111/nyas.14692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 08/24/2021] [Indexed: 11/27/2022]
Abstract
Single cell biology has the potential to elucidate many critical biological processes and diseases, from development and regeneration to cancer. Single cell analyses are uncovering the molecular diversity of cells, revealing a clearer picture of the variation among and between different cell types. New techniques are beginning to unravel how differences in cell state-transcriptional, epigenetic, and other characteristics-can lead to different cell fates among genetically identical cells, which underlies complex processes such as embryonic development, drug resistance, response to injury, and cellular reprogramming. Single cell technologies also pose significant challenges relating to processing and analyzing vast amounts of data collected. To realize the potential of single cell technologies, new computational approaches are needed. On March 17-19, 2021, experts in single cell biology met virtually for the Keystone eSymposium "Single Cell Biology" to discuss advances both in single cell applications and technologies.
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Affiliation(s)
| | - Michael B Elowitz
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California.,Howard Hughes Medical Institute, California Institute of Technology, Pasadena, California
| | - Ana I Domingos
- Department of Physiology, Anatomy & Genetics, Oxford University, Oxford, United Kingdom.,The Howard Hughes Medical Institute, New York, New York
| | - Naomi Habib
- Cell Circuits Program, Broad Institute, Cambridge, Massachusetts.,Edmond & Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Shalev Itzkovitz
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Homaira Hamidzada
- Toronto General Hospital Research Institute, University Health Network; Translational Biology and Engineering Program, Ted Rogers Centre for Heart Research and Department of Immunology, University of Toronto, Toronto, Ontario, Canada
| | - Michael S Balzer
- Renal, Electrolyte, and Hypertension Division, Department of Medicine and Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Itai Yanai
- Institute for Computational Medicine, NYU Langone Health, New York, New York
| | - Prisca Liberali
- Friedrich Miescher Institute for Biomedical Research (FMI), Basel, Switzerland
| | - Jessica Whited
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts
| | - Aaron Streets
- Department of Bioengineering and Center for Computational Biology, University of California, Berkeley, Berkeley, California.,Chan Zuckerberg Biohub, San Francisco, California
| | - Long Cai
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California
| | - Andrew B Stergachis
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, Washington; and Brotman Baty Institute for Precision Medicine, Seattle, Washington
| | - Clarice Kit Yee Hong
- Edison Center for Genome Sciences and Systems Biology, Washington University in St. Louis, St. Louis, Missouri.,Department of Genetics, Washington University in St. Louis, St. Louis, Missouri
| | - Leeat Keren
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.,Department of Pathology, School of Medicine, Stanford University, Stanford, California
| | - Martin Guilliams
- Laboratory of Myeloid Cell Biology in Tissue Homeostasis and Regeneration, VIB-UGent Center for Inflammation Research, and Unit of Immunoregulation and Mucosal Immunology, VIB Inflammation Research Center, and Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
| | - Uri Alon
- Faculty of Sciences, Department of Human Biology, University of Haifa, Haifa, Israel
| | - Alex K Shalek
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts
| | - Regan Hamel
- Department of Clinical Neurosciences and NIHR Biomedical Research Centre, University of Cambridge, Cambridge, United Kingdom
| | - Sarah J Pfau
- Department of Neurobiology, Harvard Medical School, Boston, Massachusetts
| | - Arjun Raj
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.,Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Stephen R Quake
- Chan Zuckerberg Biohub, San Francisco, California.,Department of Bioengineering, Stanford University, Stanford, California.,Department of Applied Physics, Stanford University, Stanford, California
| | - Nancy R Zhang
- Graduate Group in Genomics and Computational Biology and Department of Statistics, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jean Fan
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington School of Medicine; Brotman Baty Institute for Precision Medicine; and Allen Discovery Center for Cell Lineage Tracing, Seattle, Washington
| | - Bo Wang
- Department of Bioengineering, Stanford University, Stanford, California.,Department of Developmental Biology, Stanford University School of Medicine, Stanford, California
| | - Noah F Greenwald
- Department of Pathology, School of Medicine, Stanford University, Stanford, California
| | | | | | - Sabrina L Spencer
- Department of Biochemistry and BioFrontiers Institute, University of Colorado Boulder, Boulder, Colorado
| | - Hernan G Garcia
- Department of Physics; Biophysics Graduate Group; Department of Molecular and Cell Biology; and Institute for Quantitative Biosciences-QB3, University of California at Berkeley, Berkeley, California
| | | | - Federico Gaiti
- New York Genome Center and Meyer Cancer Center, Weill Cornell Medicine, New York, New York
| | - Rinat Arbel-Goren
- Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot, Israel
| | - Steffen Rulands
- Max Planck Institute for the Physics of Complex Systems, and Center for Systems Biology Dresden, Dresden, Germany
| | - Jan Philipp Junker
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, Berlin, Germany
| | - Allon M Klein
- Department of Systems Biology, Blavatnik Institute, Harvard Medical School, Boston, Massachusetts
| | - Samantha A Morris
- Department of Genetics, Washington University in St. Louis, St. Louis, Missouri.,Department of Developmental Biology and Center of Regenerative Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - John I Murray
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Kate E Galloway
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - Michael Ratz
- Department of Cell and Molecular Biology, Karolinska Institute, Solna, Sweden
| | - Merrit Romeike
- Max Perutz Laboratories Vienna, University of Vienna, Vienna, Austria
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42
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Olivieri JE, Dehghannasiri R, Wang PL, Jang S, de Morree A, Tan SY, Ming J, Ruohao Wu A, Quake SR, Krasnow MA, Salzman J. RNA splicing programs define tissue compartments and cell types at single-cell resolution. eLife 2021; 10:e70692. [PMID: 34515025 PMCID: PMC8563012 DOI: 10.7554/elife.70692] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 09/10/2021] [Indexed: 02/05/2023] Open
Abstract
The extent splicing is regulated at single-cell resolution has remained controversial due to both available data and methods to interpret it. We apply the SpliZ, a new statistical approach, to detect cell-type-specific splicing in >110K cells from 12 human tissues. Using 10X Chromium data for discovery, 9.1% of genes with computable SpliZ scores are cell-type-specifically spliced, including ubiquitously expressed genes MYL6 and RPS24. These results are validated with RNA FISH, single-cell PCR, and Smart-seq2. SpliZ analysis reveals 170 genes with regulated splicing during human spermatogenesis, including examples conserved in mouse and mouse lemur. The SpliZ allows model-based identification of subpopulations indistinguishable based on gene expression, illustrated by subpopulation-specific splicing of classical monocytes involving an ultraconserved exon in SAT1. Together, this analysis of differential splicing across multiple organs establishes that splicing is regulated cell-type-specifically.
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Affiliation(s)
- Julia Eve Olivieri
- Institute for Computational and Mathematical Engineering, Stanford UniversityStanfordUnited States
- Department of Biomedical Data Science, Stanford UniversityStanfordUnited States
- Department of Biochemistry, Stanford UniversityStanfordUnited States
| | - Roozbeh Dehghannasiri
- Department of Biomedical Data Science, Stanford UniversityStanfordUnited States
- Department of Biochemistry, Stanford UniversityStanfordUnited States
| | - Peter L Wang
- Department of Biochemistry, Stanford UniversityStanfordUnited States
| | - SoRi Jang
- Department of Biochemistry, Stanford UniversityStanfordUnited States
| | - Antoine de Morree
- Department of Neurology and Neurological Sciences, Stanford University School of MedicineStanfordUnited States
| | - Serena Y Tan
- Department of Pathology, Stanford University Medical CenterStanfordUnited States
| | - Jingsi Ming
- Academy for Statistics and Interdisciplinary Sciences, Faculty of Economics and Management,East China Normal UniversityShanghaiChina
- Department of Mathematics, The Hong Kong University of Science and TechnologyHong KongChina
| | - Angela Ruohao Wu
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and TechnologyHong KongChina
| | - Stephen R Quake
- Chan Zuckerberg BiohubSan FranciscoUnited States
- Department of Bioengineering, Stanford UniversityStanfordUnited States
| | - Mark A Krasnow
- Department of Biochemistry, Stanford UniversityStanfordUnited States
| | - Julia Salzman
- Department of Biomedical Data Science, Stanford UniversityStanfordUnited States
- Department of Biochemistry, Stanford UniversityStanfordUnited States
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43
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Vasquez KS, Willis L, Cira NJ, Ng KM, Pedro MF, Aranda-Díaz A, Rajendram M, Yu FB, Higginbottom SK, Neff N, Sherlock G, Xavier KB, Quake SR, Sonnenburg JL, Good BH, Huang KC. Quantifying rapid bacterial evolution and transmission within the mouse intestine. Cell Host Microbe 2021; 29:1454-1468.e4. [PMID: 34473943 PMCID: PMC8445907 DOI: 10.1016/j.chom.2021.08.003] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 05/25/2021] [Accepted: 08/05/2021] [Indexed: 11/23/2022]
Abstract
Due to limitations on high-resolution strain tracking, selection dynamics during gut microbiota colonization and transmission between hosts remain mostly mysterious. Here, we introduced hundreds of barcoded Escherichia coli strains into germ-free mice and quantified strain-level dynamics and metagenomic changes. Mutations in genes involved in motility and metabolite utilization are reproducibly selected within days. Even with rapid selection, coprophagy enforced similar barcode distributions across co-housed mice. Whole-genome sequencing of hundreds of isolates revealed linked alleles that demonstrate between-host transmission. A population-genetics model predicts substantial fitness advantages for certain mutants and that migration accounted for ∼10% of the resident microbiota each day. Treatment with ciprofloxacin suggests interplay between selection and transmission. While initial colonization was mostly uniform, in two mice a bottleneck reduced diversity and selected for ciprofloxacin resistance in the absence of drug. These findings highlight the interplay between environmental transmission and rapid, deterministic selection during evolution of the intestinal microbiota.
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Affiliation(s)
- Kimberly S Vasquez
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Lisa Willis
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Nate J Cira
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Katharine M Ng
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Miguel F Pedro
- Instituto Gulbenkian de Ciência, 2780-156 Oeiras, Portugal
| | - Andrés Aranda-Díaz
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Manohary Rajendram
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | | | - Steven K Higginbottom
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Norma Neff
- Chan Zuckerberg Biohub, San Francisco, CA 94158, USA
| | - Gavin Sherlock
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | | | - Stephen R Quake
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA
| | - Justin L Sonnenburg
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA
| | - Benjamin H Good
- Department of Physics, University of California at Berkeley, Berkeley, CA 94720, USA; Department of Applied Physics, Stanford University, Stanford, CA 94305, USA.
| | - Kerwyn Casey Huang
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA.
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44
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Cai XT, Li H, Jensen MB, Maksoud E, Borneo J, Liang Y, Quake SR, Luo L, Haghighi P, Jasper H. Gut cytokines modulate olfaction through metabolic reprogramming of glia. Nature 2021; 596:97-102. [PMID: 34290404 PMCID: PMC8911385 DOI: 10.1038/s41586-021-03756-0] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Accepted: 06/22/2021] [Indexed: 02/06/2023]
Abstract
Infection-induced aversion against enteropathogens is a conserved sickness behaviour that can promote host survival1,2. The aetiology of this behaviour remains poorly understood, but studies in Drosophila have linked olfactory and gustatory perception to avoidance behaviours against toxic microorganisms3-5. Whether and how enteric infections directly influence sensory perception to induce or modulate such behaviours remains unknown. Here we show that enteropathogen infection in Drosophila can modulate olfaction through metabolic reprogramming of ensheathing glia of the antennal lobe. Infection-induced unpaired cytokine expression in the intestine activates JAK-STAT signalling in ensheathing glia, inducing the expression of glial monocarboxylate transporters and the apolipoprotein glial lazarillo (GLaz), and affecting metabolic coupling of glia and neurons at the antennal lobe. This modulates olfactory discrimination, promotes the avoidance of bacteria-laced food and increases fly survival. Although transient in young flies, gut-induced metabolic reprogramming of ensheathing glia becomes constitutive in old flies owing to age-related intestinal inflammation, which contributes to an age-related decline in olfactory discrimination. Our findings identify adaptive glial metabolic reprogramming by gut-derived cytokines as a mechanism that causes lasting changes in a sensory system in ageing flies.
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Affiliation(s)
- Xiaoyu Tracy Cai
- Immunology Discovery, Genentech, Inc., 1 DNA Way, South San Francisco, CA 94080, USA.,Buck Institute for Research on Aging, 8001 Redwood Boulevard, Novato, CA 94945-1400, USA.,University of Southern California, Los Angeles, CA 90007, USA
| | - Hongjie Li
- Department of Biology and Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA,Huffington Center on Aging, Baylor College of Medicine, Houston, TX 77030, USA,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Martin Borch Jensen
- Buck Institute for Research on Aging, 8001 Redwood Boulevard, Novato, CA 94945-1400, USA.,Gordian Biotechnology, 953 Indiana St., San Francisco, CA 94107, USA
| | - Elie Maksoud
- Buck Institute for Research on Aging, 8001 Redwood Boulevard, Novato, CA 94945-1400, USA
| | - Jovencio Borneo
- FACS lab, Genentech, Inc., 1 DNA Way, South San Francisco, CA 94080, USA
| | - Yuxin Liang
- NGS lab, Genentech, Inc., 1 DNA Way, South San Francisco, CA 94080, USA
| | - Stephen R. Quake
- Department of Bioengineering and Department of Applied Physics, Stanford University, Stanford, CA 94305, USA,Chan Zuckerberg Biohub, Stanford, CA 94305, USA
| | - Liqun Luo
- Department of Biology and Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - Pejmun Haghighi
- Buck Institute for Research on Aging, 8001 Redwood Boulevard, Novato, CA 94945-1400, USA
| | - Heinrich Jasper
- Immunology Discovery, Genentech, Inc., 1 DNA Way, South San Francisco, CA 94080, USA.,Buck Institute for Research on Aging, 8001 Redwood Boulevard, Novato, CA 94945-1400, USA.,Corresponding author: Heinrich Jasper, Genentech, 1 DNA Way, South San Francisco, California 94080, USA.
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45
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Vilella F, Wang W, Moreno I, Roson B, Quake SR, Simon C. Single-cell RNA Sequencing of SARS-CoV-2 Cell Entry Factors in the Preconceptional Human Endometrium. Hum Reprod 2021; 36:2709-2719. [PMID: 34329437 PMCID: PMC8385818 DOI: 10.1093/humrep/deab183] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 05/17/2021] [Indexed: 12/26/2022] Open
Abstract
STUDY QUESTION Are SARS-CoV-2 canonical cell entry machinery, consisting of ACE2, TMPRSS2, NRP1 and LY6E, or alternative potential cell entry machinery, consisting of BSG, ANPEP, CD209, CLEC4G, TMPRSS4, TMPRSS11A, FURIN, CTSB, CTSL and IFITM1, expressed in the human endometrium across the menstrual cycle? SUMMARY ANSWER Analysis of cell entry factors for SARS-CoV-2 by single-cell RNA-sequencing (scRNAseq) in the preconceptional human endometrium reveals low risk of infection. WHAT IS KNOWN ALREADY Gene expression datasets from bulk endometrial tissue show no significant expression of the SARS-CoV-2 receptor ACE2 and TMPRSS2. This is in contrast to reported expression of ACE2 at the single-cell level in the decidua and trophoblast cells at the maternal–fetal interface in early pregnancy, as well as vertical transmission of SARS-CoV-2 during pregnancy. STUDY DESIGN, SIZE, DURATION This analysis of SARS-CoV-2 cell entry machinery gene expression was conducted by scRNAseq in 73 181 human endometrial cells isolated from endometrial biopsies obtained from 27 donors across the menstrual cycle. PARTICIPANTS/MATERIALS, SETTING, METHODS ScRNAseq examined the expression of genes encoding cell entry machinery for SARS-CoV-2. The raw data were from a previously published dataset. MAIN RESULTS AND THE ROLE OF CHANCE ScRNAseq analysis showed no significant expression of ACE2 in stromal or unciliated epithelial cells in any phase of the menstrual cycle. TMPRSS2 was expressed in epithelial cells during the early proliferative and mid-secretory phases. Interestingly, the expression of NRP1 was observed in both stromal and epithelial cells across all phases of the menstrual cycle, and LY6E was highly expressed in stromal cells. In the mid-secretory phase, coexpression of ACE2 and TMPRSS2 was detected in 0.07% of luminal epithelial cells. No cells simultaneously expressed ACE2, NRP1 and TMPRSS2 at the time of embryo implantation. Focusing on non-canonical cell entry machinery, BSG was highly expressed in all cell types across the menstrual cycle and may interact with CTSB or CTSL proteases, but viral infection using this machinery has not yet been confirmed. LARGE SCALE DATA All raw data in this study can be found at NCBI’s Gene Expression Omnibus (series accession code GSE111976) and Sequence Read Archive (accession code SRP135922). LIMITATIONS, REASONS FOR CAUTION Our findings at the single-cell level imply low efficiency of SARS-CoV-2 endometrial infection using canonical receptors in a cohort of healthy reproductive-age women; however, infection of endometrial cells can only be assessed in the presence of the virus. All samples were processed for scRNAseq, so no samples are remaining to analyze protein expression or spatial transcriptomics. WIDER IMPLICATIONS OF THE FINDINGS Our results offer a useful resource to guide reproductive decisions when assessing risk of endometrial infection by SARS-CoV-2 during the preconceptional period in asymptomatic COVID-19 carriers. STUDY FUNDING/COMPETING INTEREST(S) This study was jointly supported by the March of Dimes, Chan Zuckerberg Biohub and MINECO/FEDER (SAF-2015-67164-R, to C.S.) (Spanish Government), and the European Union’s Horizon 2020 Framework Programme for Research and Innovation (Grant agreement 874867). W.W. was supported by the Stanford Bio-X Graduate Bowes Fellowship and Chan Zuckerberg Biohub. F.V. was supported by the Miguel Servet Program Type II of ISCIII (CPII18/00020) and the FIS project (PI18/00957). A patent disclosure has been filed for the study with the title ‘Methods for assessing endometrial transformation’ and the global patent number ‘EP 3807648 A2’ under the inventors S.R.Q., C.S., W.W. and F.V. C.S. is the Founder and Head of the Scientific Advisory Board of Igenomix SL. S.R.Q is the Director of Mirvie. I.M. is partially employed by Igenomix SL. B.R. has no interests to declare.
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Affiliation(s)
- F Vilella
- Igenomix Foundation, INCLIVA Health Research Institute, C/Narcis de Monturiol Estarriol 11B, 46980, Valencia, Spain.,Department of Obstetrics & Gynecology, Beth Israel Deaconess Medical Center, Harvard University, 330 Brookline Ave, Boston, MA 02215, United States
| | - W Wang
- Department of Bioengineering, Stanford University, 443 Via Ortega, Stanford, CA 94305, United States
| | - I Moreno
- Igenomix Foundation, INCLIVA Health Research Institute, C/Narcis de Monturiol Estarriol 11B, 46980, Valencia, Spain
| | - B Roson
- Igenomix Foundation, INCLIVA Health Research Institute, C/Narcis de Monturiol Estarriol 11B, 46980, Valencia, Spain
| | - S R Quake
- Department of Bioengineering, Stanford University, 443 Via Ortega, Stanford, CA 94305, United States.,Department of Applied Physics, Stanford University, 443 Via Ortega, Stanford, CA 94305, United States.,Chan Zuckerberg Biohub, 499 Illinois St, San Francisco, CA 94158, United States
| | - C Simon
- Igenomix Foundation, INCLIVA Health Research Institute, C/Narcis de Monturiol Estarriol 11B, 46980, Valencia, Spain.,Department of Obstetrics & Gynecology, University of Valencia, Av. de Blasco Ibáñez, 15, 46010, Valencia, Spain.,Department of Obstetrics & Gynecology, Beth Israel Deaconess Medical Center, Harvard University, 330 Brookline Ave, Boston, MA 02215, United States
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46
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Pederick DT, Lui JH, Gingrich EC, Xu C, Wagner MJ, Liu Y, He Z, Quake SR, Luo L. Reciprocal repulsions instruct the precise assembly of parallel hippocampal networks. Science 2021; 372:1068-1073. [PMID: 34083484 PMCID: PMC8830376 DOI: 10.1126/science.abg1774] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 04/27/2021] [Indexed: 12/16/2022]
Abstract
Mammalian medial and lateral hippocampal networks preferentially process spatial- and object-related information, respectively. However, the mechanisms underlying the assembly of such parallel networks during development remain largely unknown. Our study shows that, in mice, complementary expression of cell surface molecules teneurin-3 (Ten3) and latrophilin-2 (Lphn2) in the medial and lateral hippocampal networks, respectively, guides the precise assembly of CA1-to-subiculum connections in both networks. In the medial network, Ten3-expressing (Ten3+) CA1 axons are repelled by target-derived Lphn2, revealing that Lphn2- and Ten3-mediated heterophilic repulsion and Ten3-mediated homophilic attraction cooperate to control precise target selection of CA1 axons. In the lateral network, Lphn2-expressing (Lphn2+) CA1 axons are confined to Lphn2+ targets via repulsion from Ten3+ targets. Our findings demonstrate that assembly of parallel hippocampal networks follows a "Ten3→Ten3, Lphn2→Lphn2" rule instructed by reciprocal repulsions.
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Affiliation(s)
- Daniel T Pederick
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA
| | - Jan H Lui
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA
| | - Ellen C Gingrich
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA.,Neurosciences Graduate Program, Stanford University, Stanford, CA, USA
| | - Chuanyun Xu
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA
| | - Mark J Wagner
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA
| | - Yuanyuan Liu
- F.M. Kirby Neurobiology Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Zhigang He
- F.M. Kirby Neurobiology Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Stephen R Quake
- Departments of Bioengineering and Applied Physics, Stanford University, Stanford, CA, USA.,Chan Zuckerberg Biohub, Stanford, CA, USA
| | - Liqun Luo
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA.
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47
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Stevenson DK, Aghaeepour N, Maric I, Angst MS, Darmstadt GL, Druzin ML, Gaudilliere B, Ling XB, Moufarrej MN, Peterson LS, Quake SR, Relman DA, Snyder MP, Sylvester KG, Shaw GM, Wong RJ. Understanding how biologic and social determinants affect disparities in preterm birth and outcomes of preterm infants in the NICU. Semin Perinatol 2021; 45:151408. [PMID: 33875265 PMCID: PMC9159791 DOI: 10.1016/j.semperi.2021.151408] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
To understand the disparities in spontaneous preterm birth (sPTB) and/or its outcomes, biologic and social determinants as well as healthcare practice (such as those in neonatal intensive care units) should be considered. Disparities in sPTB have been largely intractable and remain obscure in most cases, despite a myriad of identified risk factors for and causes of sPTB. We still do not know how they lead to the different outcomes at different gestational ages and if they are independent of NICU practices. Here we describe an integrated approach to study the interplay between the genome and exposome, which may drive biochemistry and physiology and lead to health disparities.
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Affiliation(s)
- David K. Stevenson
- Department of Pediatrics, Division of Neonatal and Developmental Medicine, Stanford University School of Medicine, 1265 Welch Rd, X157, Stanford, CA 94305-5415, USA,Corresponding author. (D.K. Stevenson)
| | - Nima Aghaeepour
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Ivana Maric
- Department of Pediatrics, Division of Neonatal and Developmental Medicine, Stanford University School of Medicine, 1265 Welch Rd, X157, Stanford, CA 94305-5415, USA
| | - Martin S. Angst
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Gary L. Darmstadt
- Department of Pediatrics, Division of Neonatal and Developmental Medicine, Stanford University School of Medicine, 1265 Welch Rd, X157, Stanford, CA 94305-5415, USA
| | - Maurice L. Druzin
- Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Brice Gaudilliere
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Xuefeng B. Ling
- Department of Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA,Clinical and Translational Research Program, Betty Irene Moore Children’s Heart Center, Lucile Packard Children’s Hospital, Palo Alto, CA 94306, USA
| | - Mira N. Moufarrej
- Department of Bioengineering and Applied Physics, Stanford University and Chan Zuckerberg Biohub, Stanford, CA 94305, USA
| | - Laura S. Peterson
- Department of Pediatrics, Division of Neonatal and Developmental Medicine, Stanford University School of Medicine, 1265 Welch Rd, X157, Stanford, CA 94305-5415, USA
| | - Stephen R. Quake
- Department of Bioengineering and Applied Physics, Stanford University and Chan Zuckerberg Biohub, Stanford, CA 94305, USA
| | - David A. Relman
- Department of Medicine, Stanford University School of Medicine and the Chan Zuckerberg Biohub Stanford, CA 94305, USA,Infectious Diseases Section, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA 94304, USA
| | - Michael P. Snyder
- Stanford Center for Genomics and Personalized Medicine, Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Karl G. Sylvester
- Department of Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Gary M. Shaw
- Department of Pediatrics, Division of Neonatal and Developmental Medicine, Stanford University School of Medicine, 1265 Welch Rd, X157, Stanford, CA 94305-5415, USA
| | - Ronald J. Wong
- Department of Pediatrics, Division of Neonatal and Developmental Medicine, Stanford University School of Medicine, 1265 Welch Rd, X157, Stanford, CA 94305-5415, USA
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48
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Tarashansky AJ, Musser JM, Khariton M, Li P, Arendt D, Quake SR, Wang B. Mapping single-cell atlases throughout Metazoa unravels cell type evolution. eLife 2021; 10:e66747. [PMID: 33944782 PMCID: PMC8139856 DOI: 10.7554/elife.66747] [Citation(s) in RCA: 77] [Impact Index Per Article: 25.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 04/30/2021] [Indexed: 12/11/2022] Open
Abstract
Comparing single-cell transcriptomic atlases from diverse organisms can elucidate the origins of cellular diversity and assist the annotation of new cell atlases. Yet, comparison between distant relatives is hindered by complex gene histories and diversifications in expression programs. Previously, we introduced the self-assembling manifold (SAM) algorithm to robustly reconstruct manifolds from single-cell data (Tarashansky et al., 2019). Here, we build on SAM to map cell atlas manifolds across species. This new method, SAMap, identifies homologous cell types with shared expression programs across distant species within phyla, even in complex examples where homologous tissues emerge from distinct germ layers. SAMap also finds many genes with more similar expression to their paralogs than their orthologs, suggesting paralog substitution may be more common in evolution than previously appreciated. Lastly, comparing species across animal phyla, spanning sponge to mouse, reveals ancient contractile and stem cell families, which may have arisen early in animal evolution.
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Affiliation(s)
| | - Jacob M Musser
- European Molecular Biology Laboratory, Developmental Biology UnitHeidelbergGermany
| | | | - Pengyang Li
- Department of Bioengineering, Stanford UniversityStanfordUnited States
| | - Detlev Arendt
- European Molecular Biology Laboratory, Developmental Biology UnitHeidelbergGermany
- Centre for Organismal Studies, University of HeidelbergHeidelbergGermany
| | - Stephen R Quake
- Department of Bioengineering, Stanford UniversityStanfordUnited States
- Department of Applied Physics, Stanford UniversityStanfordUnited States
- Chan Zuckerberg BiohubSan FranciscoUnited States
| | - Bo Wang
- Department of Bioengineering, Stanford UniversityStanfordUnited States
- Department of Developmental Biology, Stanford University School of MedicineStanfordUnited States
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49
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Chalasani N, Toden S, Sninsky JJ, Rava RP, Braun JV, Gawrieh S, Zhuang J, Nerenberg M, Quake SR, Maddala T. Noninvasive stratification of nonalcoholic fatty liver disease by whole transcriptome cell-free mRNA characterization. Am J Physiol Gastrointest Liver Physiol 2021; 320:G439-G449. [PMID: 33501884 PMCID: PMC8238173 DOI: 10.1152/ajpgi.00397.2020] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Hepatic fibrosis stage is the most important determinant of outcomes in patients with nonalcoholic fatty liver disease (NAFLD). There is an urgent need for noninvasive tests that can accurately stage fibrosis and determine efficacy of interventions. Here, we describe a novel cell-free (cf)-mRNA sequencing approach that can accurately and reproducibly profile low levels of circulating mRNAs and evaluate the feasibility of developing a cf-mRNA-based NAFLD fibrosis classifier. Using separate discovery and validation cohorts with biopsy-confirmed NAFLD (n = 176 and 59, respectively) and healthy subjects (n = 23), we performed serum cf-mRNA RNA-Seq profiling. Differential expression analysis identified 2,498 dysregulated genes between patients with NAFLD and healthy subjects and 134 fibrosis-associated genes in patients with NAFLD. Comparison between cf-mRNA and liver tissue transcripts revealed significant overlap of fibrosis-associated genes and pathways indicating that the circulating cf-mRNA transcriptome reflects molecular changes in the livers of patients with NAFLD. In particular, metabolic and immune pathways reflective of known underlying steatosis and inflammation were highly dysregulated in the cf-mRNA profile of patients with advanced fibrosis. Finally, we used an elastic net ordinal logistic model to develop a classifier that predicts clinically significant fibrosis (F2-F4). In an independent cohort, the cf-mRNA classifier was able to identify 50% of patients with at least 90% probability of clinically significant fibrosis. We demonstrate a novel and robust cf-mRNA-based RNA-Seq platform for noninvasive identification of diverse hepatic molecular disruptions and for fibrosis staging with promising potential for clinical trials and clinical practice.NEW & NOTEWORTHY This work is the first study, to our knowledge, to utilize circulating cell-free mRNA sequencing to develop an NAFLD diagnostic classifier.
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Affiliation(s)
- Naga Chalasani
- 1Division of Gastroenterology and Hepatology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana
| | | | | | | | | | - Samer Gawrieh
- 1Division of Gastroenterology and Hepatology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana
| | | | | | - Stephen R. Quake
- 3Departments of Bioengineering and Applied Physics, Stanford University and Chan Zuckerberg Biohub, Stanford, California
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50
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Horns F, Dekker CL, Quake SR. Memory B Cell Activation, Broad Anti-influenza Antibodies, and Bystander Activation Revealed by Single-Cell Transcriptomics. Cell Rep 2021; 30:905-913.e6. [PMID: 31968262 PMCID: PMC7891556 DOI: 10.1016/j.celrep.2019.12.063] [Citation(s) in RCA: 98] [Impact Index Per Article: 32.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Revised: 11/22/2019] [Accepted: 12/17/2019] [Indexed: 01/08/2023] Open
Abstract
Antibody memory protects humans from many diseases. Protective antibody memory responses require activation of transcriptional programs, cell proliferation, and production of antigen-specific antibodies, but how these aspects of the response are coordinated is poorly understood. We profile the molecular and cellular features of the antibody response to influenza vaccination by integrating single-cell transcriptomics, longitudinal antibody repertoire sequencing, and antibody binding measurements. Single-cell transcriptional profiling reveals a program of memory B cell activation characterized by CD11c and T-bet expression associated with clonal expansion and differentiation toward effector function. Vaccination elicits an antibody clone, which rapidly acquired broad high-affinity hemagglutinin binding during affinity maturation. Unexpectedly, many antibody clones elicited by vaccination do not bind vaccine, demonstrating non-specific activation of bystander antibodies by influenza vaccination. These results offer insight into how molecular recognition, transcriptional programs, and clonal proliferation are coordinated in the human B cell repertoire during memory recall. Antibody memory requires coordination of molecular recognition, gene expression programs, and clonal dynamics. Horns et al. study the human antibody memory response using single-cell and repertoire sequencing, revealing a transcriptional program of memory B cell activation, broadly binding anti-influenza antibodies, and widespread bystander activation of non-vaccine-binding antibodies after influenza vaccination.
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Affiliation(s)
- Felix Horns
- Biophysics Graduate Program, Stanford University, Stanford, CA 94305, USA
| | - Cornelia L Dekker
- Department of Pediatrics, Stanford University, Stanford, CA 94305, USA
| | - Stephen R Quake
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA; Department of Applied Physics, Stanford University, Stanford, CA 94305, USA; Chan Zuckerberg Biohub, San Francisco, CA, USA.
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