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John M, Williams L, Nolan G, Bonnett M, Castley A, Nolan D. Real-world use of long-acting cabotegravir and rilpivirine: 12-month results of the inJectable Antiretroviral therapy feasiBility Study (JABS). HIV Med 2024. [PMID: 38644518 DOI: 10.1111/hiv.13647] [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: 12/11/2023] [Accepted: 04/01/2024] [Indexed: 04/23/2024]
Abstract
OBJECTIVES The inJectable Antiretroviral feasiBility Study (JABS) aimed to evaluate the implementation of long-acting regimens in a 'real world' Australian setting, with inclusion of participants with complex medical needs, social vulnerability and/or historical non-adherence. METHODS JABS was a 12-month, single-centre, single-arm, open-label phase IV study of long-acting cabotegravir 600 mg plus rilpivirine 900 mg administered intramuscularly every 2 months to adults with treated HIV-1 infection. The primary endpoint was the proportion of attendances and administration of injections within a 14-day dosing window over 12 months, out of the total prescribed doses. Secondary endpoints included proportions of missed appointments, use of oral bridging, discontinuations, virological failures, adverse events and participant-reported outcomes. A multidisciplinary adherence programme embedded in the clinical service known as REACH provided support to JABS participants. RESULTS Of 60 participants enrolled by May 2022, 60% had one or more complexity or vulnerability factors identified, including absence of social supports (50%), mental health issues, alcohol or drug use (30%) and financial hardship or instability (13%), among others. Twenty-seven per cent of participants had historical non-adherence to antiretroviral therapy. Out of 395 prescribed doses, 97.2% of injections were administered within correct dosing windows at clinic visits. Two courses of short-term oral bridging were required. The rate of injection site reactions was 29%, the majority being grade 1-2. There were no virological failures, no serious adverse events and only one injection-related study discontinuation. High baseline treatment satisfaction and acceptability of injections increased by month 12. Those with vulnerability factors had similar adherence to injections as those without such factors. Ninety-eight per cent of the participants who completed 12 months on the study have maintained long-acting therapy, virological suppression and retention in care. CONCLUSIONS Long-acting cabotegravir plus rilpivirine was associated with very high adherence, maintenance of virological suppression, safety and treatment satisfaction in a diverse Australian clinic population, comparable to results of phase III randomized clinical trials. Individuals with vulnerability factors can achieve adherence to injections with individualized support. Long-acting therapies in this group can increase the subsequent engagement in clinical care.
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Affiliation(s)
- M John
- Department of Clinical Immunology, Royal Perth Hospital, Perth, Western Australia, Australia
- Immunology, PathWest, Murdoch, Western Australia, Australia
- Medical Genomics IIID, Murdoch University, Murdoch, Western Australia, Australia
| | - L Williams
- Department of Clinical Immunology, Royal Perth Hospital, Perth, Western Australia, Australia
| | - G Nolan
- Department of Clinical Immunology, Royal Perth Hospital, Perth, Western Australia, Australia
| | - M Bonnett
- Department of Clinical Immunology, Royal Perth Hospital, Perth, Western Australia, Australia
| | - A Castley
- Department of Clinical Immunology, Royal Perth Hospital, Perth, Western Australia, Australia
- Immunology, PathWest, Murdoch, Western Australia, Australia
| | - D Nolan
- Department of Clinical Immunology, Royal Perth Hospital, Perth, Western Australia, Australia
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Rogalla S, Holman D, Rubin S, Ferenc M, Holman E, Koron A, Daniel R, Boland B, Nolan G, Chang J. Automated Spatial Omics Landscape Analysis Approach Reveals Novel Tissue Architectures in Ulcerative Colitis. Res Sq 2024:rs.3.rs-3965505. [PMID: 38559236 PMCID: PMC10980100 DOI: 10.21203/rs.3.rs-3965505/v1] [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] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
The utility of spatial omics in leveraging cellular interactions in normal and diseased states for precision medicine is hampered by a lack of strategies for matching disease states with spatial heterogeneity-guided cellular annotations. Here we use a spatial context-dependent approach that matches spatial pattern detection to cell annotation. Using this approach in existing datasets from ulcerative colitis patient colonic biopsies, we identified architectural complexities and associated difficult-to-detect rare cell types in ulcerative colitis germinal-center B cell follicles. Our approach deepens our understanding of health and disease pathogenesis, illustrates a strategy for automating nested architecture detection for highly multiplexed spatial biology data, and informs precision diagnosis and therapeutic strategies.
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Chang Y, Liu J, Jiang Y, Ma A, Yeo YY, Guo Q, McNutt M, Krull J, Rodig SJ, Barouch DH, Nolan G, Xu D, Jiang S, Li Z, Liu B, Ma Q. Graph Fourier transform for spatial omics representation and analyses of complex organs. Res Sq 2024:rs.3.rs-3952048. [PMID: 38410424 PMCID: PMC10896409 DOI: 10.21203/rs.3.rs-3952048/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/28/2024]
Abstract
Spatial omics technologies are capable of deciphering detailed components of complex organs or tissue in cellular and subcellular resolution. A robust, interpretable, and unbiased representation method for spatial omics is necessary to illuminate novel investigations into biological functions, whereas a mathematical theory deficiency still exists. We present SpaGFT (Spatial Graph Fourier Transform), which provides a unique analytical feature representation of spatial omics data and elucidates molecular signatures linked to critical biological processes within tissues and cells. It outperformed existing tools in spatially variable gene prediction and gene expression imputation across human/mouse Visium data. Integrating SpaGFT representation into existing machine learning frameworks can enhance up to 40% accuracy of spatial domain identification, cell type annotation, cell-to-spot alignment, and subcellular hallmark inference. SpaGFT identified immunological regions for B cell maturation in human lymph node Visium data, characterized secondary follicle variations from in-house human tonsil CODEX data, and detected extremely rare subcellular organelles such as Cajal body and Set1/COMPASS. This new method lays the groundwork for a new theoretical model in explainable AI, advancing our understanding of tissue organization and function.
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Affiliation(s)
- Yuzhou Chang
- Department of Biomedical Informatics, College of Medicine, Ohio State University, Columbus, OH 43210, USA
- Pelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
| | - Jixin Liu
- School of Mathematics, Shandong University, Jinan 250100, China
| | - Yi Jiang
- Department of Biomedical Informatics, College of Medicine, Ohio State University, Columbus, OH 43210, USA
| | - Anjun Ma
- Department of Biomedical Informatics, College of Medicine, Ohio State University, Columbus, OH 43210, USA
- Pelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
| | - Yao Yu Yeo
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA
| | - Qi Guo
- Department of Biomedical Informatics, College of Medicine, Ohio State University, Columbus, OH 43210, USA
| | - Megan McNutt
- Department of Biomedical Informatics, College of Medicine, Ohio State University, Columbus, OH 43210, USA
| | - Jordan Krull
- Department of Biomedical Informatics, College of Medicine, Ohio State University, Columbus, OH 43210, USA
- Pelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
| | - Scott J. Rodig
- Department of Pathology, Dana Farber Cancer Institute, Boston, MA 02115 USA
- Department of Pathology, Brigham & Women’s Hospital, Boston, MA 02115, USA
| | - Dan H. Barouch
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA
- William Bosworth Castle Professor of Medicine, Harvard Medical School
- Ragon Institute of MGH, MIT, and Harvard
| | - Garry Nolan
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Dong Xu
- Department of Electrical Engineering and Computer Science, and Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO 65211, USA
| | - Sizun Jiang
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA
- Department of Pathology, Dana Farber Cancer Institute, Boston, MA 02115 USA
- Department of Pathology, Brigham & Women’s Hospital, Boston, MA 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Department of Microbiology, Harvard Medical School, Boston, MA 02115, USA
| | - Zihai Li
- Pelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
| | - Bingqiang Liu
- School of Mathematics, Shandong University, Jinan 250100, China
| | - Qin Ma
- Department of Biomedical Informatics, College of Medicine, Ohio State University, Columbus, OH 43210, USA
- Pelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
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Affiliation(s)
- Yury Goltsev
- Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA.
| | - Garry Nolan
- Department of Pathology, Stanford University, Stanford, CA, USA.
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Núñez I, Gillard J, Fragoso-Saavedra S, Feyaerts D, Islas-Weinstein L, Gallegos-Guzmán AA, Valente-García U, Meyerowitz J, Kelly JD, Chen H, Ganio E, Benkendorff A, Flores-Gouyonnet J, Dammann-Beltrán P, Heredia-González JF, Rangel-Gutiérrez GA, Blish CA, Nadeau KC, Nolan G, Crispín JC, McIlwain DR, Gaudillière B, Valdés-Ferrer SI. Longitudinal clinical phenotyping of post COVID condition in Mexican adults recovering from severe COVID-19: a prospective cohort study. Front Med (Lausanne) 2023; 10:1236702. [PMID: 37727759 PMCID: PMC10505811 DOI: 10.3389/fmed.2023.1236702] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 08/08/2023] [Indexed: 09/21/2023] Open
Abstract
Introduction Few studies have evaluated the presence of Post COVID-19 conditions (PCC) in people from Latin America, a region that has been heavily afflicted by the COVID-19 pandemic. In this study, we describe the frequency, co-occurrence, predictors, and duration of 23 symptoms in a cohort of Mexican patients with PCC. Methods We prospectively enrolled and followed adult patients hospitalized for severe COVID-19 at a tertiary care centre in Mexico City. The incidence of PCC symptoms was determined using questionnaires. Unsupervised clustering of PCC symptom co-occurrence and Kaplan-Meier analyses of symptom persistence were performed. The effect of baseline clinical characteristics was evaluated using Cox regression models and reported with hazard ratios (HR). Results We found that amongst 192 patients with PCC, respiratory problems were the most prevalent and commonly co-occurred with functional activity impairment. 56% had ≥5 persistent symptoms. Symptom persistence probability at 360 days 0.78. Prior SARS-CoV-2 vaccination and infection during the Delta variant wave were associated with a shorter duration of PCC. Male sex was associated with a shorter duration of functional activity impairment and respiratory symptoms. Hypertension and diabetes were associated with a longer duration of functional impairment. Previous vaccination accelerated PCC recovery. Discussion In our cohort, PCC symptoms were frequent (particularly respiratory and neurocognitive ones) and persistent. Importantly, prior SARS-CoV-2 vaccination resulted in a shorter duration of PCC.
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Affiliation(s)
- Isaac Núñez
- Department of Medical Education, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
- Division of Postrgraduate Studies, Faculty of Medicine, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Joshua Gillard
- Section Pediatric Infectious Diseases, Laboratory of Medical Immunology, Radboud Institute for Molecular Life Sciences, Nijmegen, Netherlands
- Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, Netherlands
- Center for Molecular and Biomolecular Informatics, Radboud University Medical Center, Nijmegen, Netherlands
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, United States
| | - Sergio Fragoso-Saavedra
- Department of Medical Education, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
- Division of Postrgraduate Studies, Faculty of Medicine, Universidad Nacional Autónoma de México, Mexico City, Mexico
- Combined Study Plan in Medicine, Faculty of Medicine, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Dorien Feyaerts
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, United States
| | - León Islas-Weinstein
- Department of Neurology & Psychiatry, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Angel A. Gallegos-Guzmán
- Department of Neurology & Psychiatry, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Uriel Valente-García
- Department of Neurology & Psychiatry, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Justin Meyerowitz
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, United States
| | - J. Daniel Kelly
- Department of Epidemiology and Biostatistics, UCSF, San Francisco, CA, United States
- Institute for Global Health Sciences, UCSF, San Francisco, CA, United States
- F.IProctor Foundation, UCSF, San Francisco, CA, United States
| | - Han Chen
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, United States
| | - Edward Ganio
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, United States
| | - Alexander Benkendorff
- Institute of Neuropathology, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Jaime Flores-Gouyonnet
- Department of Neurology & Psychiatry, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Pedro Dammann-Beltrán
- Department of Neurology & Psychiatry, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | | | - Gabriela A. Rangel-Gutiérrez
- Combined Study Plan in Medicine, Faculty of Medicine, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Catherine A. Blish
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, United States
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States
- Chan Zuckerberg Biohub, San Francisco, CA, United States
- Division of Infectious Diseases, Stanford University, Stanford, CA, United States
| | - Kari C. Nadeau
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University, Stanford, CA, United States
- Division of Pulmonary, Allergy, and Critical Care Medicine, Stanford University, Stanford, CA, United States
- Institute for Immunity, Transplantation, and Infectious Diseases, Stanford University, Stanford, CA, United States
| | - Garry Nolan
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, United States
| | - Jose C. Crispín
- School of Medicine and Health Sciencies, Tecnologico de Monterrey, Mexico City, Mexico
- Department of Immunology and Rheumatology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - David R. McIlwain
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, United States
| | - Brice Gaudillière
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, United States
| | - Sergio I. Valdés-Ferrer
- Department of Neurology & Psychiatry, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
- Center for Biomedical Science, Feinstein Institutes for Medical Research, New York, NY, United States
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Kuswanto W, Nolan G, Lu G. Highly multiplexed spatial profiling with CODEX: bioinformatic analysis and application in human disease. Semin Immunopathol 2023; 45:145-157. [PMID: 36414691 PMCID: PMC9684921 DOI: 10.1007/s00281-022-00974-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 11/06/2022] [Indexed: 11/23/2022]
Abstract
Multiplexed imaging, which enables spatial localization of proteins and RNA to cells within tissues, complements existing multi-omic technologies and has deepened our understanding of health and disease. CODEX, a multiplexed single-cell imaging technology, utilizes a microfluidics system that incorporates DNA barcoded antibodies to visualize 50 + cellular markers at the single-cell level. Here, we discuss the latest applications of CODEX to studies of cancer, autoimmunity, and infection as well as current bioinformatics approaches for analysis of multiplexed imaging data from preprocessing to cell segmentation and marker quantification to spatial analysis techniques. We conclude with a commentary on the challenges and future developments for multiplexed spatial profiling.
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Affiliation(s)
- Wilson Kuswanto
- Department of Medicine, Division of Immunology and Rheumatology, Stanford University School of Medicine, Stanford, CA, 94304, USA
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, 94304, USA
| | - Garry Nolan
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, 94304, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, 94304, USA
| | - Guolan Lu
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, 94304, USA.
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, 94304, USA.
- Department of Otolaryngology, Stanford University School of Medicine, Stanford, CA, 94304, USA.
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Viswanathan V, Cao H, Saiki J, Jiang D, Mattingly A, Nambiar D, Bloomstein J, Li Y, Jiang S, Chamoli M, Sirjani D, Kaplan M, Holsinger FC, Liang R, Von Eyben R, Jiang H, Guan L, Lagory E, Feng Z, Nolan G, Ye J, Denko N, Knox S, Rosen DM, Le QT. Aldehyde dehydrogenase 3A1 deficiency leads to mitochondrial dysfunction and impacts salivary gland stem cell phenotype. PNAS Nexus 2022; 1:pgac056. [PMID: 35707206 PMCID: PMC9186046 DOI: 10.1093/pnasnexus/pgac056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 05/10/2022] [Indexed: 01/29/2023]
Abstract
Adult salivary stem/progenitor cells (SSPC) have an intrinsic property to self-renew in order to maintain tissue architecture and homeostasis. Adult salivary glands have been documented to harbor SSPC, which have been shown to play a vital role in the regeneration of the glandular structures postradiation damage. We have previously demonstrated that activation of aldehyde dehydrogenase 3A1 (ALDH3A1) after radiation reduced aldehyde accumulation in SSPC, leading to less apoptosis and improved salivary function. We subsequently found that sustained pharmacological ALDH3A1 activation is critical to enhance regeneration of murine submandibular gland after radiation damage. Further investigation shows that ALDH3A1 function is crucial for SSPC self-renewal and survival even in the absence of radiation stress. Salivary glands from Aldh3a1 -/- mice have fewer acinar structures than wildtype mice. ALDH3A1 deletion or pharmacological inhibition in SSPC leads to a decrease in mitochondrial DNA copy number, lower expression of mitochondrial specific genes and proteins, structural abnormalities, lower membrane potential, and reduced cellular respiration. Loss or inhibition of ALDH3A1 also elevates ROS levels, depletes glutathione pool, and accumulates ALDH3A1 substrate 4-hydroxynonenal (4-HNE, a lipid peroxidation product), leading to decreased survival of murine SSPC that can be rescued by treatment with 4-HNE specific carbonyl scavengers. Our data indicate that ALDH3A1 activity protects mitochondrial function and is important for the regeneration activity of SSPC. This knowledge will help to guide our translational strategy of applying ALDH3A1 activators in the clinic to prevent radiation-related hyposalivation in head and neck cancer patients.
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Affiliation(s)
- Vignesh Viswanathan
- Department of Radiation Oncology, Stanford School of Medicine, Stanford, CA 94305, USA
| | - Hongbin Cao
- Department of Radiation Oncology, Stanford School of Medicine, Stanford, CA 94305, USA
| | - Julie Saiki
- Department of Radiation Oncology, Stanford School of Medicine, Stanford, CA 94305, USA
| | - Dadi Jiang
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Aaron Mattingly
- Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA 94143, USA
| | - Dhanya Nambiar
- Department of Radiation Oncology, Stanford School of Medicine, Stanford, CA 94305, USA
| | - Joshua Bloomstein
- Department of Radiation Oncology, Stanford School of Medicine, Stanford, CA 94305, USA
| | - Yang Li
- Department of Radiation Oncology, Stanford School of Medicine, Stanford, CA 94305, USA
| | - Sizun Jiang
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Manish Chamoli
- Buck Institute for Research on Aging, 8001 Redwood Blvd., Novato, CA 94945, USA
| | - Davud Sirjani
- Department of Otolaryngology–Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Michael Kaplan
- Department of Otolaryngology–Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - F Christopher Holsinger
- Department of Otolaryngology–Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Rachel Liang
- Department of Radiation Oncology, Stanford School of Medicine, Stanford, CA 94305, USA
| | - Rie Von Eyben
- Department of Radiation Oncology, Stanford School of Medicine, Stanford, CA 94305, USA
| | - Haowen Jiang
- Department of Radiation Oncology, Stanford School of Medicine, Stanford, CA 94305, USA
| | - Li Guan
- Department of Radiation Oncology, Stanford School of Medicine, Stanford, CA 94305, USA
| | - Edward Lagory
- Department of Radiation Oncology, Stanford School of Medicine, Stanford, CA 94305, USA
| | - Zhiping Feng
- Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Garry Nolan
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Jiangbin Ye
- Department of Radiation Oncology, Stanford School of Medicine, Stanford, CA 94305, USA
| | - Nicholas Denko
- The Ohio State University Wexner Medical Center and OSU Comprehensive Cancer Center, Columbus, OH 43210, USA
| | - Sarah Knox
- Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA 94143, USA
| | - Daria-Mochly Rosen
- Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Quynh-Thu Le
- Department of Radiation Oncology, Stanford School of Medicine, Stanford, CA 94305, USA
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Weerasekera A, Ion-Mărgineanu A, Nolan G, Mody M. Subcortical Brain Morphometry Differences between Adults with Autism Spectrum Disorder and Schizophrenia. Brain Sci 2022; 12:brainsci12040439. [PMID: 35447970 PMCID: PMC9031550 DOI: 10.3390/brainsci12040439] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 03/14/2022] [Accepted: 03/20/2022] [Indexed: 02/01/2023] Open
Abstract
Autism spectrum disorder (ASD) and schizophrenia (SZ) are neuropsychiatric disorders that overlap in symptoms associated with social-cognitive impairment. Subcortical structures play a significant role in cognitive and social-emotional behaviors and their abnormalities are associated with neuropsychiatric conditions. This exploratory study utilized ABIDE II/COBRE MRI and corresponding phenotypic datasets to compare subcortical volumes of adults with ASD (n = 29), SZ (n = 51) and age and gender matched neurotypicals (NT). We examined the association between subcortical volumes and select behavioral measures to determine whether core symptomatology of disorders could be explained by subcortical association patterns. We observed volume differences in ASD (viz., left pallidum, left thalamus, left accumbens, right amygdala) but not in SZ compared to their respective NT controls, reflecting morphometric changes specific to one of the disorder groups. However, left hippocampus and amygdala volumes were implicated in both disorders. A disorder-specific negative correlation (r = −0.39, p = 0.038) was found between left-amygdala and scores on the Social Responsiveness Scale (SRS) Social-Cognition in ASD, and a positive association (r = 0.29, p = 0.039) between full scale IQ (FIQ) and right caudate in SZ. Significant correlations between behavior measures and subcortical volumes were observed in NT groups (ASD-NT range; r = −0.53 to −0.52, p = 0.002 to 0.004, SZ-NT range; r = −0.41 to −0.32, p = 0.007 to 0.021) that were non-significant in the disorder groups. The overlap of subcortical volumes implicated in ASD and SZ may reflect common neurological mechanisms. Furthermore, the difference in correlation patterns between disorder and NT groups may suggest dysfunctional connectivity with cascading effects unique to each disorder and a potential role for IQ in mediating behavior and brain circuits.
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Affiliation(s)
- Akila Weerasekera
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA;
- Correspondence: ; Tel.: +1-781-8204501
| | - Adrian Ion-Mărgineanu
- Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, 3001 Leuven, Belgium;
| | - Garry Nolan
- Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA;
| | - Maria Mody
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA;
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Schapiro D, Yapp C, Sokolov A, Reynolds SM, Chen YA, Sudar D, Xie Y, Muhlich J, Arias-Camison R, Arena S, Taylor AJ, Nikolov M, Tyler M, Lin JR, Burlingame EA, Chang YH, Farhi SL, Thorsson V, Venkatamohan N, Drewes JL, Pe'er D, Gutman DA, Herrmann MD, Gehlenborg N, Bankhead P, Roland JT, Herndon JM, Snyder MP, Angelo M, Nolan G, Swedlow JR, Schultz N, Merrick DT, Mazzili SA, Cerami E, Rodig SJ, Santagata S, Sorger PK. MITI minimum information guidelines for highly multiplexed tissue images. Nat Methods 2022; 19:262-267. [PMID: 35277708 PMCID: PMC9009186 DOI: 10.1038/s41592-022-01415-4] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
The imminent release of tissue atlases combining multi-channel microscopy with single cell sequencing and other omics data from normal and diseased specimens creates an urgent need for data and metadata standards that guide data deposition, curation and release. We describe a Minimum Information about highly multiplexed Tissue Imaging (MITI) standard that applies best practices developed for genomics and other microscopy data to highly multiplexed tissue images and traditional histology.
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Affiliation(s)
- Denis Schapiro
- Laboratory of Systems Pharmacology, Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, USA
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Institute for Computational Biomedicine, Faculty of Medicine, Heidelberg University Hospital and Heidelberg University, Heidelberg, Germany
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Clarence Yapp
- Laboratory of Systems Pharmacology, Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, USA
- Image and Data Analysis Core, Harvard Medical School, Boston, MA, USA
| | - Artem Sokolov
- Laboratory of Systems Pharmacology, Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | | | - Yu-An Chen
- Laboratory of Systems Pharmacology, Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, USA
| | - Damir Sudar
- Quantitative Imaging Systems LLC, Portland, OR, USA
| | - Yubin Xie
- Program in Computational and Systems Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jeremy Muhlich
- Laboratory of Systems Pharmacology, Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, USA
| | - Raquel Arias-Camison
- Laboratory of Systems Pharmacology, Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, USA
| | - Sarah Arena
- Laboratory of Systems Pharmacology, Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, USA
| | | | | | - Madison Tyler
- Laboratory of Systems Pharmacology, Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, USA
| | - Jia-Ren Lin
- Laboratory of Systems Pharmacology, Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, USA
| | - Erik A Burlingame
- Oregon Health and Science University, Portland, OR, USA
- Indica Labs, Albuquerque, NM, USA
| | - Young H Chang
- Oregon Health and Science University, Portland, OR, USA
| | - Samouil L Farhi
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | | | - Julia L Drewes
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Dana Pe'er
- Program in Computational and Systems Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Markus D Herrmann
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Nils Gehlenborg
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Peter Bankhead
- Edinburgh Pathology, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Joseph T Roland
- Vanderbilt University School of Medicine, Nashville, TN, USA
| | - John M Herndon
- Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA
| | | | - Michael Angelo
- School of Medicine, Stanford University, Stanford, CA, USA
| | - Garry Nolan
- School of Medicine, Stanford University, Stanford, CA, USA
| | - Jason R Swedlow
- Division of Computational Biology and Centre for Gene Regulation and Expression, University of Dundee, Dundee, UK
| | - Nikolaus Schultz
- Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | | | | | - Scott J Rodig
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
| | - Sandro Santagata
- Laboratory of Systems Pharmacology, Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, USA.
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA.
| | - Peter K Sorger
- Laboratory of Systems Pharmacology, Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, USA.
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
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10
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Banhidy N, Ramjeeawon A, Nolan G, Jain A. 229 A Systematic Review Protocol Examining the Role of Immobilisation in Hand Infections. Br J Surg 2022. [DOI: 10.1093/bjs/znac039.145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Abstract
Aim
Hand infections are common and varied, leading to long-term complications when managed poorly. Splinting of the hand in a position of safe immobilisation (POSI) is frequently used to avoid complications including pain and stiffness, however it is not a universally accepted technique because the effects of splinting in hand infections remain unestablished.
This systematic review will compare outcomes in adult hand infections between those treated using hand immobilisation and those not immobilised. The primary aim is to compare patient reported outcomes, for example pain, and the secondary aim is to compare functional active range of motion, complications, and resource use.
Method
A systematic review protocol has been developed. The search strategy was developed following background reading, expert opinion, and review by an academic librarian, and will be used to search MEDLINE, Embase, CINAHL, Web of Science and the Cochrane Central Register of Controlled Trials, to identify publications on management of hand infections including use of hand immobilisation. Title, and full-text screening will be carried out by two independent investigators to identify studies for inclusion. Editorials, letters, and literature reviews will be excluded.
Results
This systematic review has been successfully registered on the PROSPERO International prospective register of systematic reviews (CRD42021232880)
Conclusions
This systematic review will summarise the available evidence to establish the effect of hand immobilisation in hand infections, including whether hand immobilisation leads to improved outcomes in hand infections, which could guide health care professionals in their practice and influence future clinical guidelines.
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Affiliation(s)
- N. Banhidy
- Department of Trauma and Orthopaedics, The Royal London Hospital, Barts Health NHS trust, London, United Kingdom
| | - A. Ramjeeawon
- Division of Surgery and Interventional Sciences, University College London, Royal Free Hospital, London, United Kingdom
| | - G. Nolan
- Department of Plastic and Reconstructive Surgery, Whiston Hospital, St Helen’s and Knowlsey Teaching Hospitals NHS Trust, London, United Kingdom
| | - A. Jain
- Department of Plastic and Reconstructive Surgery, Charing Cross and St Mary’s Hospitals, Imperial College Healthcare NHS Trust, London, United Kingdom
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11
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Tan ATK, Hartmann F, Wilkinson A, Nakauchi H, Nolan G. 3202 – METABOLIC PROFILING OF MOUSE HEMATOPOIETIC STEM CELL SELF-RENEWAL AT SINGLE-CELL RESOLUTION. Exp Hematol 2022. [DOI: 10.1016/j.exphem.2022.07.258] [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] [Indexed: 11/04/2022]
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12
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Hickey J, Nolan G, Covert M, Agmon E, Horowitz N, Sunwoo J. 180 T cell phenotype drives restructuring of tumor microenvironment to balance T cell longevity and tumor control: insights from multiplexed imaging and multi-scale agent based modeling. J Immunother Cancer 2021. [DOI: 10.1136/jitc-2021-sitc2021.180] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
BackgroundImmune cell therapies continue to have success in treatment of cancers yet face challenges of complexity, cost, toxicity, and low solid-tumor efficacy. Much work has focused on the phenotype characterization and control of ex vivo expanded cells; however, little is known about its relationship to changes in the tumor microenvironment in vivo. Thus, we imaged tumors treated with different phenotype tumor-specific CD8+ T cells with CODEX multiplexed imaging1–4 that is able to visualize 42 antibodies at the same tissue in the tissue (figure 1A). To further probe this data in a systems immunology approach we created a multiscale agent-based model including critical circuits from the T cell-tumor microenvironment interactions (figure 1B).MethodsWe initialized our agent-based models various percentages of either PD1+, PD1-, PDL1+, or PDL1- phenotypes and ran simulations for 72 hours. We also treated PMEL CD8+ T cells with or without 2 hydroxycitrate as a metabolic inhibitor during activation to achieve different input phenotypes of CD8+ T cells for therapeutic adoptive transfer on day 10 following B16-F10 tumors had been established. We performed neighborhood analysis on CODEX multiplexed imaging data by clustering neighboring cell types using a sliding window for neighborhood analysis.ResultsInterestingly, the agent-based modeling indicated that the tumor phenotype switch to decrease proliferation was more effective than direct T cell killing. We observed spatially restricted inflammatory immune fronts when simulating with different initial percentages of PD1+ T cells and also from our CODEX multiplexed imaging. Quantitatively we observe that there is a drastic increase in the PDL1+, MHCI+, Ki67- tumor phenotype that increases with metabolically inhibited T cells. Neighborhood analysis indicated that metabolically treated T cells were able to create distinct immune cell environments that supported productive T cell-tumor interactions and also helped maintain T cell phenotype.ConclusionsThis indicates there is a balance for therapeutic T cell to mitigate chronic tumor exposure while controlling tumor growth through killing and by changing tumor phenotype. We observe T cells create distinct tumor microenvironments that differs significantly based on the starting T cell phenotype. Controlling T cell phenotype to promote productive immune-tumor structures will be critical to maintain T cell functionality and efficacy. In the future we will investigate T cell recruitment of immune structures by similar systems biology technologies.AcknowledgementsJ.W.H. is funded by an ACS Postdoctoral Fellowship (PF-20-032-01-CSM).ReferencesGoltsev Y, Samusik N, Kennedy-Darling J, Bhate S, Hale M, Vazquez G, Black S and Nolan GP, Deep profiling of mouse splenic architecture with CODEX multiplexed imaging. Cell, 174(4):968–981.Schürch CM, Bhate SS, Barlow GL, Phillips DJ, Noti L, Zlobec I, Chu P, Black S, Demeter J, McIlwain DR and Samusik N. Coordinated cellular neighborhoods orchestrate antitumoral immunity at the colorectal cancer invasive front. Cell 182(5):1341–1359.Black S, Phillips D, Hickey JW, Kennedy-Darling J, Venkataraaman VG, Samusik N, Goltsev Y, Schürch CM. and Nolan GP. CODEX multiplexed tissue imaging with DNA-conjugated antibodies. Nature Protocols 1–36.Kennedy-Darling J, Bhate SS, Hickey JW, Black S, Barlow GL, Vazquez G, Venkataraaman VG, Samusik N, Goltsev Y, Schürch CM and Nolan GP. Highly multiplexed tissue imaging using repeated oligonucleotide exchange reaction. European Journal of Immunology 51(5):1262–1277.Ethics ApprovalAll studies involving mice were approved under Stanford’s APLAC protocol 33502.
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13
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Greasley L, Patel P, Nolan G, Bamal R, Bell D. 1350 Wide-Awake Local Anaesthetic No Tourniquet (WALANT) Vs General/Regional Anaesthetic for Flexor Tendon Injuries: A Single-Centre, Retrospective Cohort Study. Br J Surg 2021. [PMCID: PMC8524491 DOI: 10.1093/bjs/znab258.057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Aim Flexor tendon repairs are commonly performed under general/regional anaesthesia. Wide-awake local anaesthetic no tourniquet (WALANT) has potential advantages including the ability to test the repair intra-operatively; removal of the risks of general anaesthesia; no aerosol generation, thus reducing COVID-19 transmission risk. An ongoing systematic review identified no comparative studies. This study aimed to compare the functional outcomes and complications of flexor tendon repairs under WALANT and general/regional anaesthetic. Method A single-centre, retrospective cohort study was undertaken (July 2019-August 2020). Consecutive adult patients undergoing flexor tendon repair were included. Exclusion criteria were ≥ 3 injured fingers; concurrent hand fracture; revascularisation; replantation. Data were collected on demographics, injuries, operative technique, and outcomes. Results Overall, 139 patients with 165 injured digits were included. Most (60%) were repaired under general anaesthesia. Local anaesthetic (was used for 46 patients (21 with tourniquet, 25 WALANT). Only 30% (42/139) patients had range of motion data at 6-weeks, dropping to 19% (26/139) at 12-weeks. WALANT patients had fewer ruptures (8% vs 14%), fewer adhesions requiring tenolysis (0% vs 4%) and less complications overall than the general/regional anaesthesia group. The results were not found to be statistically significant. Conclusions The lack of data due to patients not attending follow-up, makes meaningful research on flexor tendon injuries very challenging. This study suggests WALANT may reduce complications but is limited by the inherent bias of a retrospective, non-randomised study, and small numbers. Adequately designed and powered studies are recommended in future to further investigate the potential benefits of wide-awake surgery.
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Affiliation(s)
- L Greasley
- School of Medicine, University of Liverpool, Liverpool, United Kingdom
| | - P Patel
- School of Medicine, University of Liverpool, Liverpool, United Kingdom
| | - G Nolan
- Department of Plastic and Reconstructive Surgery, Whiston Hospital, Merseyside, United Kingdom
| | - R Bamal
- Department of Plastic and Reconstructive Surgery, Whiston Hospital, Merseyside, United Kingdom
| | - D Bell
- Department of Plastic and Reconstructive Surgery, Whiston Hospital, Merseyside, United Kingdom
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14
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Gahunia S, Nolan G, Hardman G, Kausar A, Khwaja N, Ward J. 968 Delivering Human Factors and Non-Technical Skills Training Using Interactive Online Platforms in the COVID Era. Br J Surg 2021. [DOI: 10.1093/bjs/znab259.883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Abstract
Aim
To evaluate the impact and effectiveness of an interactive online human factors (HF) and non-technical skills (NTS) course delivered to Core Surgical Trainees during the COVID-19 pandemic
Method
A 1-day HF and NTS course was conducted online, using the Zoom platform, to Core Surgical Trainees in the North West. The course consisted of interactive lectures, small group teaching sessions, and self-directed learning with written reflections. Pre- and post-course surveys were administered, evaluating the participants’ awareness, knowledge and skills using a 5-part Likert scale, along with a multiple-choice assessment of knowledge. Statistical analysis was undertaken with significance considered at p < 0.05
Results
The course was attended by 63 CT1/2 participants, representing all surgical specialties. In the post-course evaluation, participants’ self-rating of awareness and knowledge for both HF and patient safety increased by between 10-20%. There was a significant increase in the mean post-course test score from 7.54 (SD ± 1.7) to 8.65 (SD ± 1.2) out of 10 (p < 0.0001). The course overall was rated relevant and useful (weighted averages 4.4 and 4.5 respectively)
Conclusions
To our knowledge, this is the first time a video conferencing platform has been used to deliver a live HF/NTS course. This study provides evidence supporting the use of such interactive online platforms in postgraduate surgical education. Training and professional development must continue, despite the evolving pressures from COVID-19. Embracing new methods of education delivery is required, with ongoing reporting and evaluation of education practice, sharing lessons learned and informing the evidence base in postgraduate surgical training during this time
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Affiliation(s)
- S Gahunia
- Countess of Chester Hospital NHS Foundation Trust, Chester, United Kingdom
| | - G Nolan
- St Helens and Knowsley Hospitals NHS Trust, Prescot, United Kingdom
| | - G Hardman
- Manchester University NHS Foundation Trust, Manchester, United Kingdom
| | - A Kausar
- East Lancashire Hospitals NHS Trust, Blackburn, United Kingdom
| | - N Khwaja
- Manchester University NHS Foundation Trust, Manchester, United Kingdom
| | - J Ward
- Lancashire Teaching Hospitals NHS Foundation Trust, Preston, United Kingdom
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15
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Lee I, Nakayama T, Jiang S, Goltsev Y, Schürch C, Zhu B, McIlwain D, Chu P, Chen H, Tzankov A, Matter M, Nayak J, Nolan G. SARS-CoV-2 entry factors are expressed in nasal, ocular, and oral tissues: implications for COVID-19 prophylaxes/therapeutics. J Allergy Clin Immunol 2021. [PMCID: PMC7849513 DOI: 10.1016/j.jaci.2020.12.055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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16
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Cable J, Greenbaum B, Pe'er D, Bollard CM, Bruni S, Griffin ME, Allison JP, Wu CJ, Subudhi SK, Mardis ER, Brentjens R, Sosman JA, Cemerski S, Zavitsanou AM, Proia T, Egeblad M, Nolan G, Goswami S, Spranger S, Mackall CL. Frontiers in cancer immunotherapy-a symposium report. Ann N Y Acad Sci 2020; 1489:30-47. [PMID: 33184911 DOI: 10.1111/nyas.14526] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [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: 10/16/2020] [Accepted: 10/16/2020] [Indexed: 12/18/2022]
Abstract
Cancer immunotherapy has dramatically changed the approach to cancer treatment. The aim of targeting the immune system to recognize and destroy cancer cells has afforded many patients the prospect of achieving deep, long-term remission and potential cures. However, many challenges remain for achieving the goal of effective immunotherapy for all cancer patients. Checkpoint inhibitors have been able to achieve long-term responses in a minority of patients, yet improving response rates with combination therapies increases the possibility of toxicity. Chimeric antigen receptor T cells have demonstrated high response rates in hematological cancers, although most patients experience relapse. In addition, some cancers are notoriously immunologically "cold" and typically are not effective targets for immunotherapy. Overcoming these obstacles will require new strategies to improve upon the efficacy of current agents, identify biomarkers to select appropriate therapies, and discover new modalities to expand the accessibility of immunotherapy to additional tumor types and patient populations.
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Affiliation(s)
| | - Benjamin Greenbaum
- Computational Oncology, Program for Computational Immuno-Oncology, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer, New York, New York
| | - Dana Pe'er
- Program for Computational and Systems Biology, Sloan Kettering Institute and Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Catherine M Bollard
- Center for Cancer and Immunology Research, Children's National Hospital, The George Washington University, Washington, District of Columbia
| | - Sofia Bruni
- Laboratory of Molecular Mechanisms of Carcinogenesis, Instituto de Biología y Medicina Experimental (IBYME-CONICET), Buenos Aires, Argentina
| | - Matthew E Griffin
- Laboratory of Chemical Biology and Microbial Pathogenesis, The Rockefeller University New York, New York, New York
| | - James P Allison
- Immunotherapy Platform and Department of Immunology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Catherine J Wu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Broad Institute, Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts.,Harvard Medical School, Boston, Massachusetts.,Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Sumit K Subudhi
- Department of Genitourinary Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Elaine R Mardis
- The Rasmussen Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, Ohio
| | - Renier Brentjens
- Department of Medicine and Center for Cell Engineering, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Jeffry A Sosman
- Division of Hematology and Oncology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | | | | | | | - Mikala Egeblad
- Cold Spring Harbor Laboratory, Cancer Center, New York, New York
| | - Garry Nolan
- Baxter Laboratory in Stem Cell Biology and Department of Microbiology and Immunology, Stanford University, Stanford, California.,Parker Institute for Cancer Immunotherapy, San Francisco, California
| | - Sangeeta Goswami
- Department of Genitourinary Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Stefani Spranger
- Koch Institute for Integrative Cancer Research and Biology Department, Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - Crystal L Mackall
- Center for Cancer Cell Therapy, Stanford Cancer Institute, Stanford, California.,Department of Pediatrics, Stanford University School of Medicine, Stanford, California.,Department of Medicine, Stanford University School of Medicine, Stanford, California
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17
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Cui L, Chen SY, Lerbs T, Lee JW, Domizi P, Gordon S, Kim YH, Nolan G, Betancur P, Wernig G. Activation of JUN in fibroblasts promotes pro-fibrotic programme and modulates protective immunity. Nat Commun 2020; 11:2795. [PMID: 32493933 PMCID: PMC7270081 DOI: 10.1038/s41467-020-16466-4] [Citation(s) in RCA: 60] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Accepted: 04/27/2020] [Indexed: 02/04/2023] Open
Abstract
The transcription factor JUN is highly expressed in pulmonary fibrosis. Its induction in mice drives lung fibrosis, which is abrogated by administration of anti-CD47. Here, we use high-dimensional mass cytometry to profile protein expression and secretome of cells from patients with pulmonary fibrosis. We show that JUN is activated in fibrotic fibroblasts that expressed increased CD47 and PD-L1. Using ATAC-seq and ChIP-seq, we found that activation of JUN rendered promoters and enhancers of CD47 and PD-L1 accessible. We further detect increased IL-6 that amplified JUN-mediated CD47 enhancer activity and protein expression. Using an in vivo mouse model of fibrosis, we found two distinct mechanisms by which blocking IL-6, CD47 and PD-L1 reversed fibrosis, by increasing phagocytosis of profibrotic fibroblasts and by eliminating suppressive effects on adaptive immunity. Our results identify specific immune mechanisms that promote fibrosis and suggest a therapeutic approach that could be used alongside conventional anti-fibrotics for pulmonary fibrosis. Fibroblast contributions to lung fibrosis and in particular their crosstalk with immune cells in the lung are incompletely understood. Here, the authors show an overall immune suppressive environment transcriptionally controlled and maintained by fibroblasts in lung fibrosis with possible therapeutic implications.
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Affiliation(s)
- Lu Cui
- Department of Pathology, Institute of Stem Cell Biology and Regenerative Medicine (ISCBRM), Stanford University School of Medicine, Stanford, 94305, CA, USA
| | - Shih-Yu Chen
- Institute of Biomedical Sciences, Academia Sinica, Taipei, 11529, Taiwan
| | - Tristan Lerbs
- Department of Pathology, Institute of Stem Cell Biology and Regenerative Medicine (ISCBRM), Stanford University School of Medicine, Stanford, 94305, CA, USA
| | - Jin-Wook Lee
- Department of Genetics, Stanford University School of Medicine, Stanford, 94305, CA, USA
| | - Pablo Domizi
- Department of Pathology, Institute of Stem Cell Biology and Regenerative Medicine (ISCBRM), Stanford University School of Medicine, Stanford, 94305, CA, USA
| | - Sydney Gordon
- Orca Biosystems, 3475 Edison Way, Suite B, Menlo Park, 94025, CA, USA
| | - Yong-Hun Kim
- Department of Pathology, Institute of Stem Cell Biology and Regenerative Medicine (ISCBRM), Stanford University School of Medicine, Stanford, 94305, CA, USA
| | - Garry Nolan
- Baxter Laboratories Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, 94305, CA, USA
| | - Paola Betancur
- Department of Radiation Oncology, University of California, San Francisco, 94143, CA, USA
| | - Gerlinde Wernig
- Department of Pathology, Institute of Stem Cell Biology and Regenerative Medicine (ISCBRM), Stanford University School of Medicine, Stanford, 94305, CA, USA.
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18
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Waller I, Nolan G, Mitchell J, Barry P, Webb A, Jones A. P172 Different spirometry equipment produces clinically important differences in lung function measurements in adults with cystic fibrosis. J Cyst Fibros 2020. [DOI: 10.1016/s1569-1993(20)30507-5] [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] [Indexed: 11/28/2022]
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19
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McElroy AK, Akondy RS, Mcllwain DR, Chen H, Bjornson-Hooper Z, Mukherjee N, Mehta AK, Nolan G, Nichol ST, Spiropoulou CF. Immunologic timeline of Ebola virus disease and recovery in humans. JCI Insight 2020; 5:137260. [PMID: 32434986 PMCID: PMC7259516 DOI: 10.1172/jci.insight.137260] [Citation(s) in RCA: 24] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Accepted: 04/22/2020] [Indexed: 12/13/2022] Open
Abstract
A complete understanding of human immune responses to Ebola virus infection is limited by the availability of specimens and the requirement for biosafety level 4 (BSL-4) containment. In an effort to bridge this gap, we evaluated cryopreserved PBMCs from 4 patients who survived Ebola virus disease (EVD) using an established mass cytometry antibody panel to characterize various cell populations during both the acute and convalescent phases. Acute loss of nonclassical monocytes and myeloid DCs, especially CD1c+ DCs, was noted. Classical monocyte proliferation and CD38 upregulation on plasmacytoid DCs coincided with declining viral load. Unsupervised analysis of cell abundance demonstrated acute declines in monocytic, NK, and T cell populations, but some populations, many of myeloid origin, increased in abundance during the acute phase, suggesting emergency hematopoiesis. Despite cell losses during the acute phase, upregulation of Ki-67 correlated with recovery of cell populations over time. These data provide insights into the human immune response during EVD.
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Affiliation(s)
- Anita K McElroy
- Viral Special Pathogens Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
- Division of Pediatric Infectious Diseases and Center for Vaccine Research, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Rama S Akondy
- Division of Infectious Diseases, Emory University School of Medicine, Atlanta, Georgia, USA
| | - David R Mcllwain
- Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA
| | - Han Chen
- Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA
| | - Zach Bjornson-Hooper
- Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA
| | - Nilanjan Mukherjee
- Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA
| | - Aneesh K Mehta
- Division of Infectious Diseases, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Garry Nolan
- Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA
| | - Stuart T Nichol
- Viral Special Pathogens Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Christina F Spiropoulou
- Viral Special Pathogens Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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20
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Keren L, Bosse M, Thompson S, Risom T, Vijayaragavan K, McCaffrey E, Marquez D, Angoshtari R, Greenwald NF, Fienberg H, Wang J, Kambham N, Kirkwood D, Nolan G, Montine TJ, Galli SJ, West R, Bendall SC, Angelo M. MIBI-TOF: A multiplexed imaging platform relates cellular phenotypes and tissue structure. Sci Adv 2019; 5:eaax5851. [PMID: 31633026 PMCID: PMC6785247 DOI: 10.1126/sciadv.aax5851] [Citation(s) in RCA: 192] [Impact Index Per Article: 38.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Accepted: 09/14/2019] [Indexed: 05/13/2023]
Abstract
Understanding tissue structure and function requires tools that quantify the expression of multiple proteins while preserving spatial information. Here, we describe MIBI-TOF (multiplexed ion beam imaging by time of flight), an instrument that uses bright ion sources and orthogonal time-of-flight mass spectrometry to image metal-tagged antibodies at subcellular resolution in clinical tissue sections. We demonstrate quantitative, full periodic table coverage across a five-log dynamic range, imaging 36 labeled antibodies simultaneously with histochemical stains and endogenous elements. We image fields of view up to 800 μm × 800 μm at resolutions down to 260 nm with sensitivities approaching single-molecule detection. We leverage these properties to interrogate intrapatient heterogeneity in tumor organization in triple-negative breast cancer, revealing regional variability in tumor cell phenotypes in contrast to a structured immune response. Given its versatility and sample back-compatibility, MIBI-TOF is positioned to leverage existing annotated, archival tissue cohorts to explore emerging questions in cancer, immunology, and neurobiology.
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Affiliation(s)
- Leeat Keren
- Department of Pathology, Stanford University, Stanford, CA
| | - Marc Bosse
- Department of Pathology, Stanford University, Stanford, CA
| | - Steve Thompson
- Department of Pathology, Stanford University, Stanford, CA
| | - Tyler Risom
- Department of Pathology, Stanford University, Stanford, CA
| | | | - Erin McCaffrey
- Department of Pathology, Stanford University, Stanford, CA
- Immunology Program, Stanford University School of Medicine, Stanford, CA
| | - Diana Marquez
- Department of Pathology, Stanford University, Stanford, CA
| | | | - Noah F. Greenwald
- Department of Pathology, Stanford University, Stanford, CA
- Cancer Biology Program, Stanford University School of Medicine, Stanford, CA
| | | | - Jennifer Wang
- Department of Pathology, Stanford University, Stanford, CA
| | | | - David Kirkwood
- Department of Pathology, Stanford University, Stanford, CA
| | - Garry Nolan
- Department of Microbiology and Immunology, Stanford University, Stanford, CA
| | | | | | - Robert West
- Department of Pathology, Stanford University, Stanford, CA
| | | | - Michael Angelo
- Department of Pathology, Stanford University, Stanford, CA
- Corresponding.author.
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Snyder MP, Lin S, Posgai A, Atkinson M, Regev A, Rood J, Rozenblatt-Rosen O, Gaffney L, Hupalowska A, Satija R, Gehlenborg N, Shendure J, Laskin J, Harbury P, Nystrom NA, Silverstein JC, Bar-Joseph Z, Zhang K, Börner K, Lin Y, Conroy R, Procaccini D, Roy AL, Pillai A, Brown M, Galis ZS, Cai L, Shendure J, Trapnell C, Lin S, Jackson D, Snyder MP, Nolan G, Greenleaf WJ, Lin Y, Plevritis S, Ahadi S, Nevins SA, Lee H, Schuerch CM, Black S, Venkataraaman VG, Esplin E, Horning A, Bahmani A, Zhang K, Sun X, Jain S, Hagood J, Pryhuber G, Kharchenko P, Atkinson M, Bodenmiller B, Brusko T, Clare-Salzler M, Nick H, Otto K, Posgai A, Wasserfall C, Jorgensen M, Brusko M, Maffioletti S, Caprioli RM, Spraggins JM, Gutierrez D, Patterson NH, Neumann EK, Harris R, deCaestecker M, Fogo AB, van de Plas R, Lau K, Cai L, Yuan GC, Zhu Q, Dries R, Yin P, Saka SK, Kishi JY, Wang Y, Goldaracena I, Laskin J, Ye D, Burnum-Johnson KE, Piehowski PD, Ansong C, Zhu Y, Harbury P, Desai T, Mulye J, Chou P, Nagendran M, Bar-Joseph Z, Teichmann SA, Paten B, Murphy RF, Ma J, Kiselev VY, Kingsford C, Ricarte A, Keays M, Akoju SA, Ruffalo M, Gehlenborg N, Kharchenko P, Vella M, McCallum C, Börner K, Cross LE, Friedman SH, Heiland R, Herr B, Macklin P, Quardokus EM, Record L, Sluka JP, Weber GM, Nystrom NA, Silverstein JC, Blood PD, Ropelewski AJ, Shirey WE, Scibek RM, Mabee P, Lenhardt WC, Robasky K, Michailidis S, Satija R, Marioni J, Regev A, Butler A, Stuart T, Fisher E, Ghazanfar S, Rood J, Gaffney L, Eraslan G, Biancalani T, Vaishnav ED, Conroy R, Procaccini D, Roy A, Pillai A, Brown M, Galis Z, Srinivas P, Pawlyk A, Sechi S, Wilder E, Anderson J. The human body at cellular resolution: the NIH Human Biomolecular Atlas Program. Nature 2019; 574:187-192. [PMID: 31597973 PMCID: PMC6800388 DOI: 10.1038/s41586-019-1629-x] [Citation(s) in RCA: 272] [Impact Index Per Article: 54.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Accepted: 09/09/2019] [Indexed: 12/12/2022]
Abstract
Transformative technologies are enabling the construction of three-dimensional maps of tissues with unprecedented spatial and molecular resolution. Over the next seven years, the NIH Common Fund Human Biomolecular Atlas Program (HuBMAP) intends to develop a widely accessible framework for comprehensively mapping the human body at single-cell resolution by supporting technology development, data acquisition, and detailed spatial mapping. HuBMAP will integrate its efforts with other funding agencies, programs, consortia, and the biomedical research community at large towards the shared vision of a comprehensive, accessible three-dimensional molecular and cellular atlas of the human body, in health and under various disease conditions.
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Waller I, Nolan G, Jones S, Barry P, Webb A, Jones A. P349 Influence of spirometry technology on lung function measurements in adults with cystic fibrosis. J Cyst Fibros 2019. [DOI: 10.1016/s1569-1993(19)30641-1] [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] [Indexed: 11/17/2022]
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Ghaemi MS, DiGiulio DB, Contrepois K, Callahan B, Ngo TTM, Lee-McMullen B, Lehallier B, Robaczewska A, Mcilwain D, Rosenberg-Hasson Y, Wong RJ, Quaintance C, Culos A, Stanley N, Tanada A, Tsai A, Gaudilliere D, Ganio E, Han X, Ando K, McNeil L, Tingle M, Wise P, Maric I, Sirota M, Wyss-Coray T, Winn VD, Druzin ML, Gibbs R, Darmstadt GL, Lewis DB, Partovi Nia V, Agard B, Tibshirani R, Nolan G, Snyder MP, Relman DA, Quake SR, Shaw GM, Stevenson DK, Angst MS, Gaudilliere B, Aghaeepour N. Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy. Bioinformatics 2019; 35:95-103. [PMID: 30561547 PMCID: PMC6298056 DOI: 10.1093/bioinformatics/bty537] [Citation(s) in RCA: 82] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Revised: 06/22/2018] [Accepted: 07/02/2018] [Indexed: 12/12/2022] Open
Abstract
Motivation Multiple biological clocks govern a healthy pregnancy. These biological mechanisms produce immunologic, metabolomic, proteomic, genomic and microbiomic adaptations during the course of pregnancy. Modeling the chronology of these adaptations during full-term pregnancy provides the frameworks for future studies examining deviations implicated in pregnancy-related pathologies including preterm birth and preeclampsia. Results We performed a multiomics analysis of 51 samples from 17 pregnant women, delivering at term. The datasets included measurements from the immunome, transcriptome, microbiome, proteome and metabolome of samples obtained simultaneously from the same patients. Multivariate predictive modeling using the Elastic Net (EN) algorithm was used to measure the ability of each dataset to predict gestational age. Using stacked generalization, these datasets were combined into a single model. This model not only significantly increased predictive power by combining all datasets, but also revealed novel interactions between different biological modalities. Future work includes expansion of the cohort to preterm-enriched populations and in vivo analysis of immune-modulating interventions based on the mechanisms identified. Availability and implementation Datasets and scripts for reproduction of results are available through: https://nalab.stanford.edu/multiomics-pregnancy/. Supplementary information Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Mohammad Sajjad Ghaemi
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Département de Mathématiques et de Génie Industriel, École Polytechnique de Montréal, QC, Canada
- Groupe d’Études et de Recherche en Analyse des Décision (GERAD), Montréal, QC, Canada
- Centre Interuniversitaire de Recherche sur les Réseaux d’Entreprise, la Logistique et le Transport (CIRRELT), Montréal, QC, Canada
| | - Daniel B DiGiulio
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
| | - Kévin Contrepois
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Benjamin Callahan
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA
| | - Thuy T M Ngo
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Cancer Early Detection Advanced Research Center, Knight Cancer Institute and Department of Molecular and Medical Genetics, Oregon Health Sciences University, Portland, OR, USA
| | | | - Benoit Lehallier
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Anna Robaczewska
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
| | - David Mcilwain
- Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA
| | - Yael Rosenberg-Hasson
- Institute for Immunity, Transplantation and Infection, Human Immune Monitoring Center Stanford, CA, USA
| | - Ronald J Wong
- Division of Neonatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Cecele Quaintance
- Division of Neonatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Anthony Culos
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Natalie Stanley
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Athena Tanada
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Amy Tsai
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Dyani Gaudilliere
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Edward Ganio
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Xiaoyuan Han
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Kazuo Ando
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Leslie McNeil
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Martha Tingle
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Paul Wise
- Division of Neonatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Ivana Maric
- Division of Neonatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Marina Sirota
- Institute for Computational Health Sciences, University of California San Francisco, San Francisco, CA, USA
- Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Virginia D Winn
- Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA, USA
| | - Maurice L Druzin
- Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA, USA
| | - Ronald Gibbs
- Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA, USA
| | - Gary L Darmstadt
- Division of Neonatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - David B Lewis
- Division of Neonatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Vahid Partovi Nia
- Département de Mathématiques et de Génie Industriel, École Polytechnique de Montréal, QC, Canada
- Groupe d’Études et de Recherche en Analyse des Décision (GERAD), Montréal, QC, Canada
| | - Bruno Agard
- Département de Mathématiques et de Génie Industriel, École Polytechnique de Montréal, QC, Canada
- Centre Interuniversitaire de Recherche sur les Réseaux d’Entreprise, la Logistique et le Transport (CIRRELT), Montréal, QC, Canada
| | - Robert Tibshirani
- Departments of Biomedical Data Sciences and Statistics, Stanford University, Stanford, CA, USA
- Department of Statistics, Stanford University School of Medicine, Stanford, CA, USA
| | - Garry Nolan
- Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA
| | - Michael P Snyder
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - David A Relman
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
- Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA
| | - Stephen R Quake
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Gary M Shaw
- Division of Neonatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - David K Stevenson
- Division of Neonatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Martin S Angst
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Brice Gaudilliere
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Nima Aghaeepour
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
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Affiliation(s)
- Antonio Cosma
- Immunology of Viral Infections and Autoimmune Diseases, CEA, Université Paris Sud 11, INSERM U1184, Fontenay-aux-Roses, France
| | - Garry Nolan
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California USA
| | - Brice Gaudilliere
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, California USA
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Sarno J, Pedersen C, Jager A, Burns T, Gaipa G, Nolan G, Bava A, Davis K. Glucocorticoids Exert a Dual Role in B-Cell Acute Lymphoblastic Leukemia: Apoptosis and Differentiation of Early B-Cell Populations. Exp Hematol 2018. [DOI: 10.1016/j.exphem.2018.06.140] [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] [Indexed: 10/28/2022]
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26
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Nolan G, Leitch A, Cowie C. Post-operative neurosurgical head CT requests: A full cycle audit. Int J Surg 2018. [DOI: 10.1016/j.ijsu.2018.05.351] [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] [Indexed: 10/28/2022]
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27
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Anchang B, Davis K, Fienberg H, Bendall S, Karacosta L, Nolan G, Plevritis SK. Abstract 2275: Individualized drug combination based on single-cell drug perturbations. Cancer Res 2018. [DOI: 10.1158/1538-7445.am2018-2275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Currently, cancer drug combinations primarily focus on mutational heterogeneity of the primary tumor and do not account for single-cell variations that can give rise to drug resistance. Moreover, even with the increasing number of potential FDA-approved targeted drugs including immunotherapies, methods are needed to identify better combination therapy that leverages intratumor heterogeneity, thereby potentially mitigating the need for trials with large numbers of patients. Despite advances in single-cell technologies that capture intratumor heterogeneity, there are no drug combination strategies that utilize single-cell platforms. One idea that has been proposed is to use Mass Cytometry Time-of-Flight (CyTOF) for drug screening by producing drug perturbation effects at the level of the single cell, but the required analytics for the resulting complex data were not addressed. To address this unmet need, we have developed a novel algorithm to optimize combination therapy for an individual patient by analyzing distinct single-cell drug perturbation responses on a tumor sample. This model framework, called “DRUGNEM,” can be applied to CyTOF data, single-cell RNA-seq, or any single-cell imaging data currently available. DRUGNEM is composed of three steps: (1) identify the subpopulations that make up the tumor and may respond differently to treatment; (2) reconstruct a drug-nested-effects model that integrates the drug effects across all subpopulations to capture sub-setting relationships among individual drug effects; and (3) systematically score potential drug combinations to identify or prioritize strategies that will be clinically (and economically) sustainable. Currently, DRUGNEM is optimized to select the minimum number of drugs that produces the maximal desired intracellular effect, predicated on the premise that fewer drugs lower treatment-related toxicities and costs, but the final selection criterion can be easily modified. As proof of concept, we applied the DRUGNEM framework to individualize drug combinations based on CyTOF data generated on de-identified malignant research samples from 30 ALL pediatric patients before and after exposure to 3 targeted FDA -pproved single drugs (dasatinib, tofacitinib and BEZ235). We found that the most common combination treatment strategy (dasatinib and BEZ235) might not be optimal for all 30 ALL patients, with 2 of the 30 likely responding best to tofacitinib alone. Using in vitro survival assays, we validated the DRUGNEM prediction of BEZ235 and dasatinib as a potential synergistic combination on ALL cell lines. In summary, DRUGNEM is a novel framework using single-cell technologies to guide drug-combination strategies and can be adapted to incorporate complementary molecular data and computational methods to ultimately achieve more effective therapy for the individual cancer patient.
Citation Format: Benedict Anchang, Kara Davis, Harris Fienberg, Sean Bendall, Loukia Karacosta, Garry Nolan, Sylvia K. Plevritis. Individualized drug combination based on single-cell drug perturbations [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 2275.
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Affiliation(s)
- Garry Nolan
- Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University, Stanford, California 94305, USA
| | - Atul Butte
- Institute for Computational Health Sciences, University of California San Francisco, San Francisco, California 94158, USA
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29
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Ryan S, Keane S, Nolan G, Purcell E, Cormican L. Practice Guidelines for Standards of Adult Sleep Medicine Services. Ir Med J 2018; 111:721. [PMID: 30376238] [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] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Sleep disorders, i.e. diseases that affect, disrupt or involve sleep, represent major challenges for physicians and healthcare systems worldwide. The high prevalence, the complexity and the health burden of sleep disorders demand the establishment of specific clinical sleep centres where adequate and efficient diagnosis and management of patients with such diseases can be provided. This document describes practice guidelines for standards of adult sleep medicine centres in Ireland. These guidelines are the result of a consensus procedure in which all committee members of the Irish Sleep Society (ISS) were involved. The scope of these guidelines is to define the requirements of sleep medicine services, in terms of personnel, facilities, equipment and procedures.
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Affiliation(s)
- S Ryan
- Pulmonary and Sleep Disorders Unit, St. Vincent's University Hospital, Dublin
| | - S Keane
- Sleep Laboratory, Mater Private Hospital, Dublin
| | - G Nolan
- Pulmonary and Sleep Disorders Unit, St. Vincent's University Hospital, Dublin
| | - E Purcell
- Sleep Laboratory, Mater Private Hospital, Dublin
| | - L Cormican
- Respiratory and Sleep Department, Connolly Hospital Blanchardstown, Dublin
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30
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Regev A, Teichmann SA, Lander ES, Amit I, Benoist C, Birney E, Bodenmiller B, Campbell P, Carninci P, Clatworthy M, Clevers H, Deplancke B, Dunham I, Eberwine J, Eils R, Enard W, Farmer A, Fugger L, Göttgens B, Hacohen N, Haniffa M, Hemberg M, Kim S, Klenerman P, Kriegstein A, Lein E, Linnarsson S, Lundberg E, Lundeberg J, Majumder P, Marioni JC, Merad M, Mhlanga M, Nawijn M, Netea M, Nolan G, Pe'er D, Phillipakis A, Ponting CP, Quake S, Reik W, Rozenblatt-Rosen O, Sanes J, Satija R, Schumacher TN, Shalek A, Shapiro E, Sharma P, Shin JW, Stegle O, Stratton M, Stubbington MJT, Theis FJ, Uhlen M, van Oudenaarden A, Wagner A, Watt F, Weissman J, Wold B, Xavier R, Yosef N. The Human Cell Atlas. eLife 2017; 6:e27041. [PMID: 29206104 DOI: 10.1101/121202] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [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: 03/28/2017] [Accepted: 11/30/2017] [Indexed: 05/28/2023] Open
Abstract
The recent advent of methods for high-throughput single-cell molecular profiling has catalyzed a growing sense in the scientific community that the time is ripe to complete the 150-year-old effort to identify all cell types in the human body. The Human Cell Atlas Project is an international collaborative effort that aims to define all human cell types in terms of distinctive molecular profiles (such as gene expression profiles) and to connect this information with classical cellular descriptions (such as location and morphology). An open comprehensive reference map of the molecular state of cells in healthy human tissues would propel the systematic study of physiological states, developmental trajectories, regulatory circuitry and interactions of cells, and also provide a framework for understanding cellular dysregulation in human disease. Here we describe the idea, its potential utility, early proofs-of-concept, and some design considerations for the Human Cell Atlas, including a commitment to open data, code, and community.
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Affiliation(s)
- Aviv Regev
- Broad Institute of MIT and Harvard, Cambridge, United States
- Department of Biology, Massachusetts Institute of Technology, Cambridge, United States
- Howard Hughes Medical Institute, Chevy Chase, United States
| | - Sarah A Teichmann
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- EMBL-European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- Cavendish Laboratory, Department of Physics, University of Cambridge, Cambridge, United Kingdom
| | - Eric S Lander
- Broad Institute of MIT and Harvard, Cambridge, United States
- Department of Biology, Massachusetts Institute of Technology, Cambridge, United States
- Department of Systems Biology, Harvard Medical School, Boston, United States
| | - Ido Amit
- Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Christophe Benoist
- Division of Immunology, Department of Microbiology and Immunobiology, Harvard Medical School, Boston, United States
| | - Ewan Birney
- EMBL-European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | - Bernd Bodenmiller
- EMBL-European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- Institute of Molecular Life Sciences, University of Zürich, Zürich, Switzerland
| | - Peter Campbell
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- Department of Haematology, University of Cambridge, Cambridge, United Kingdom
| | - Piero Carninci
- Cavendish Laboratory, Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Division of Genomic Technologies, RIKEN Center for Life Science Technologies, Yokohama, Japan
| | - Menna Clatworthy
- Molecular Immunity Unit, Department of Medicine, MRC Laboratory of Molecular Biology, University of Cambridge, Cambridge, United Kingdom
| | - Hans Clevers
- Hubrecht Institute, Princess Maxima Center for Pediatric Oncology and University Medical Center Utrecht, Utrecht, The Netherlands
| | - Bart Deplancke
- Institute of Bioengineering, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
| | - Ian Dunham
- EMBL-European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | - James Eberwine
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States
| | - Roland Eils
- Division of Theoretical Bioinformatics (B080), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department for Bioinformatics and Functional Genomics, Institute for Pharmacy and Molecular Biotechnology (IPMB) and BioQuant, Heidelberg University, Heidelberg, Germany
| | - Wolfgang Enard
- Department of Biology II, Ludwig Maximilian University Munich, Martinsried, Germany
| | - Andrew Farmer
- Takara Bio United States, Inc., Mountain View, United States
| | - Lars Fugger
- Oxford Centre for Neuroinflammation, Nuffield Department of Clinical Neurosciences, and MRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - Berthold Göttgens
- Department of Haematology, University of Cambridge, Cambridge, United Kingdom
- Wellcome Trust-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, United Kingdom
| | - Nir Hacohen
- Broad Institute of MIT and Harvard, Cambridge, United States
- Massachusetts General Hospital Cancer Center, Boston, United States
| | - Muzlifah Haniffa
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Martin Hemberg
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | - Seung Kim
- Departments of Developmental Biology and of Medicine, Stanford University School of Medicine, Stanford, United States
| | - Paul Klenerman
- Peter Medawar Building for Pathogen Research and the Translational Gastroenterology Unit, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
- Oxford NIHR Biomedical Research Centre, John Radcliffe Hospital, Oxford, United Kingdom
| | - Arnold Kriegstein
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California, San Francisco, San Francisco, United States
| | - Ed Lein
- Allen Institute for Brain Science, Seattle, United States
| | - Sten Linnarsson
- Laboratory for Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Emma Lundberg
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, Stockholm, Sweden
- Department of Genetics, Stanford University, Stanford, United States
| | - Joakim Lundeberg
- Science for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden
| | | | - John C Marioni
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- EMBL-European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Miriam Merad
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Musa Mhlanga
- Division of Chemical, Systems & Synthetic Biology, Institute for Infectious Disease & Molecular Medicine (IDM), Department of Integrative Biomedical Sciences, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Martijn Nawijn
- Department of Pathology and Medical Biology, GRIAC Research Institute, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Mihai Netea
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Garry Nolan
- Department of Microbiology and Immunology, Stanford University, Stanford, United States
| | - Dana Pe'er
- Computational and Systems Biology Program, Sloan Kettering Institute, New York, United States
| | | | - Chris P Ponting
- MRC Human Genetics Unit, MRC Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Stephen Quake
- Department of Applied Physics and Department of Bioengineering, Stanford University, Stanford, United States
- Chan Zuckerberg Biohub, San Francisco, United States
| | - Wolf Reik
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- Epigenetics Programme, The Babraham Institute, Cambridge, United Kingdom
- Centre for Trophoblast Research, University of Cambridge, Cambridge, United Kingdom
| | | | - Joshua Sanes
- Center for Brain Science and Department of Molecular and Cellular Biology, Harvard University, Cambridge, United States
| | - Rahul Satija
- Department of Biology, New York University, New York, United States
- New York Genome Center, New York University, New York, United States
| | - Ton N Schumacher
- Division of Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Alex Shalek
- Broad Institute of MIT and Harvard, Cambridge, United States
- Institute for Medical Engineering & Science (IMES) and Department of Chemistry, Massachusetts Institute of Technology, Cambridge, United States
- Ragon Institute of MGH, MIT and Harvard, Cambridge, United States
| | - Ehud Shapiro
- Department of Computer Science and Department of Biomolecular Sciences, Weizmann Institute of Science, Rehovot, Israel
| | - Padmanee Sharma
- Department of Genitourinary Medical Oncology, Department of Immunology, MD Anderson Cancer Center, University of Texas, Houston, United States
| | - Jay W Shin
- Division of Genomic Technologies, RIKEN Center for Life Science Technologies, Yokohama, Japan
| | - Oliver Stegle
- EMBL-European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | - Michael Stratton
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | | | - Fabian J Theis
- Institute of Computational Biology, German Research Center for Environmental Health, Helmholtz Center Munich, Neuherberg, Germany
- Department of Mathematics, Technical University of Munich, Garching, Germany
| | - Matthias Uhlen
- Science for Life Laboratory and Department of Proteomics, KTH Royal Institute of Technology, Stockholm, Sweden
- Novo Nordisk Foundation Center for Biosustainability, Danish Technical University, Lyngby, Denmark
| | | | - Allon Wagner
- Department of Electrical Engineering and Computer Science and the Center for Computational Biology, University of California, Berkeley, Berkeley, United States
| | - Fiona Watt
- Centre for Stem Cells and Regenerative Medicine, King's College London, London, United Kingdom
| | - Jonathan Weissman
- Howard Hughes Medical Institute, Chevy Chase, United States
- Department of Cellular & Molecular Pharmacology, University of California, San Francisco, San Francisco, United States
- California Institute for Quantitative Biomedical Research, University of California, San Francisco, San Francisco, United States
- Center for RNA Systems Biology, University of California, San Francisco, San Francisco, United States
| | - Barbara Wold
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, United States
| | - Ramnik Xavier
- Broad Institute of MIT and Harvard, Cambridge, United States
- Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, United States
- Gastrointestinal Unit and Center for the Study of Inflammatory Bowel Disease, Massachusetts General Hospital, Boston, United States
- Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, United States
| | - Nir Yosef
- Ragon Institute of MGH, MIT and Harvard, Cambridge, United States
- Department of Electrical Engineering and Computer Science and the Center for Computational Biology, University of California, Berkeley, Berkeley, United States
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Regev A, Teichmann SA, Lander ES, Amit I, Benoist C, Birney E, Bodenmiller B, Campbell P, Carninci P, Clatworthy M, Clevers H, Deplancke B, Dunham I, Eberwine J, Eils R, Enard W, Farmer A, Fugger L, Göttgens B, Hacohen N, Haniffa M, Hemberg M, Kim S, Klenerman P, Kriegstein A, Lein E, Linnarsson S, Lundberg E, Lundeberg J, Majumder P, Marioni JC, Merad M, Mhlanga M, Nawijn M, Netea M, Nolan G, Pe'er D, Phillipakis A, Ponting CP, Quake S, Reik W, Rozenblatt-Rosen O, Sanes J, Satija R, Schumacher TN, Shalek A, Shapiro E, Sharma P, Shin JW, Stegle O, Stratton M, Stubbington MJT, Theis FJ, Uhlen M, van Oudenaarden A, Wagner A, Watt F, Weissman J, Wold B, Xavier R, Yosef N. The Human Cell Atlas. eLife 2017; 6:e27041. [PMID: 29206104 PMCID: PMC5762154 DOI: 10.7554/elife.27041] [Citation(s) in RCA: 1156] [Impact Index Per Article: 165.1] [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: 03/28/2017] [Accepted: 11/30/2017] [Indexed: 12/12/2022] Open
Abstract
The recent advent of methods for high-throughput single-cell molecular profiling has catalyzed a growing sense in the scientific community that the time is ripe to complete the 150-year-old effort to identify all cell types in the human body. The Human Cell Atlas Project is an international collaborative effort that aims to define all human cell types in terms of distinctive molecular profiles (such as gene expression profiles) and to connect this information with classical cellular descriptions (such as location and morphology). An open comprehensive reference map of the molecular state of cells in healthy human tissues would propel the systematic study of physiological states, developmental trajectories, regulatory circuitry and interactions of cells, and also provide a framework for understanding cellular dysregulation in human disease. Here we describe the idea, its potential utility, early proofs-of-concept, and some design considerations for the Human Cell Atlas, including a commitment to open data, code, and community.
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Affiliation(s)
- Aviv Regev
- Broad Institute of MIT and HarvardCambridgeUnited States
- Department of BiologyMassachusetts Institute of TechnologyCambridgeUnited States
- Howard Hughes Medical InstituteChevy ChaseUnited States
| | - Sarah A Teichmann
- Wellcome Trust Sanger Institute, Wellcome Genome CampusHinxtonUnited Kingdom
- EMBL-European Bioinformatics InstituteWellcome Genome CampusHinxtonUnited Kingdom
- Cavendish Laboratory, Department of PhysicsUniversity of CambridgeCambridgeUnited Kingdom
| | - Eric S Lander
- Broad Institute of MIT and HarvardCambridgeUnited States
- Department of BiologyMassachusetts Institute of TechnologyCambridgeUnited States
- Department of Systems BiologyHarvard Medical SchoolBostonUnited States
| | - Ido Amit
- Department of ImmunologyWeizmann Institute of ScienceRehovotIsrael
| | - Christophe Benoist
- Division of Immunology, Department of Microbiology and ImmunobiologyHarvard Medical SchoolBostonUnited States
| | - Ewan Birney
- EMBL-European Bioinformatics InstituteWellcome Genome CampusHinxtonUnited Kingdom
| | - Bernd Bodenmiller
- EMBL-European Bioinformatics InstituteWellcome Genome CampusHinxtonUnited Kingdom
- Institute of Molecular Life SciencesUniversity of ZürichZürichSwitzerland
| | - Peter Campbell
- Wellcome Trust Sanger Institute, Wellcome Genome CampusHinxtonUnited Kingdom
- Department of HaematologyUniversity of CambridgeCambridgeUnited Kingdom
| | - Piero Carninci
- Cavendish Laboratory, Department of PhysicsUniversity of CambridgeCambridgeUnited Kingdom
- Division of Genomic TechnologiesRIKEN Center for Life Science TechnologiesYokohamaJapan
| | - Menna Clatworthy
- Molecular Immunity Unit, Department of Medicine, MRC Laboratory of Molecular BiologyUniversity of CambridgeCambridgeUnited Kingdom
| | - Hans Clevers
- Hubrecht Institute, Princess Maxima Center for Pediatric Oncology and University Medical Center UtrechtUtrechtThe Netherlands
| | - Bart Deplancke
- Institute of Bioengineering, School of Life SciencesSwiss Federal Institute of Technology (EPFL)LausanneSwitzerland
| | - Ian Dunham
- EMBL-European Bioinformatics InstituteWellcome Genome CampusHinxtonUnited Kingdom
| | - James Eberwine
- Department of Systems Pharmacology and Translational TherapeuticsPerelman School of Medicine, University of PennsylvaniaPhiladelphiaUnited States
| | - Roland Eils
- Division of Theoretical Bioinformatics (B080)German Cancer Research Center (DKFZ)HeidelbergGermany
- Department for Bioinformatics and Functional Genomics, Institute for Pharmacy and Molecular Biotechnology (IPMB) and BioQuantHeidelberg UniversityHeidelbergGermany
| | - Wolfgang Enard
- Department of Biology IILudwig Maximilian University MunichMartinsriedGermany
| | - Andrew Farmer
- Takara Bio United States, Inc.Mountain ViewUnited States
| | - Lars Fugger
- Oxford Centre for Neuroinflammation, Nuffield Department of Clinical Neurosciences, and MRC Human Immunology Unit, Weatherall Institute of Molecular MedicineJohn Radcliffe Hospital, University of OxfordOxfordUnited Kingdom
| | - Berthold Göttgens
- Department of HaematologyUniversity of CambridgeCambridgeUnited Kingdom
- Wellcome Trust-MRC Cambridge Stem Cell InstituteUniversity of CambridgeCambridgeUnited Kingdom
| | - Nir Hacohen
- Broad Institute of MIT and HarvardCambridgeUnited States
- Massachusetts General Hospital Cancer CenterBostonUnited States
| | - Muzlifah Haniffa
- Institute of Cellular MedicineNewcastle UniversityNewcastle upon TyneUnited Kingdom
| | - Martin Hemberg
- Wellcome Trust Sanger Institute, Wellcome Genome CampusHinxtonUnited Kingdom
| | - Seung Kim
- Departments of Developmental Biology and of MedicineStanford University School of MedicineStanfordUnited States
| | - Paul Klenerman
- Peter Medawar Building for Pathogen Research and the Translational Gastroenterology Unit, Nuffield Department of Clinical MedicineUniversity of OxfordOxfordUnited Kingdom
- Oxford NIHR Biomedical Research CentreJohn Radcliffe HospitalOxfordUnited Kingdom
| | - Arnold Kriegstein
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell ResearchUniversity of California, San FranciscoSan FranciscoUnited States
| | - Ed Lein
- Allen Institute for Brain ScienceSeattleUnited States
| | - Sten Linnarsson
- Laboratory for Molecular Neurobiology, Department of Medical Biochemistry and BiophysicsKarolinska InstitutetStockholmSweden
| | - Emma Lundberg
- Science for Life Laboratory, School of BiotechnologyKTH Royal Institute of TechnologyStockholmSweden
- Department of GeneticsStanford UniversityStanfordUnited States
| | - Joakim Lundeberg
- Science for Life Laboratory, Department of Gene TechnologyKTH Royal Institute of TechnologyStockholmSweden
| | | | - John C Marioni
- Wellcome Trust Sanger Institute, Wellcome Genome CampusHinxtonUnited Kingdom
- EMBL-European Bioinformatics InstituteWellcome Genome CampusHinxtonUnited Kingdom
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUnited Kingdom
| | - Miriam Merad
- Precision Immunology InstituteIcahn School of Medicine at Mount SinaiNew YorkUnited States
| | - Musa Mhlanga
- Division of Chemical, Systems & Synthetic Biology, Institute for Infectious Disease & Molecular Medicine (IDM), Department of Integrative Biomedical Sciences, Faculty of Health SciencesUniversity of Cape TownCape TownSouth Africa
| | - Martijn Nawijn
- Department of Pathology and Medical Biology, GRIAC Research InstituteUniversity of Groningen, University Medical Center GroningenGroningenThe Netherlands
| | - Mihai Netea
- Department of Internal Medicine and Radboud Center for Infectious DiseasesRadboud University Medical CenterNijmegenThe Netherlands
| | - Garry Nolan
- Department of Microbiology and ImmunologyStanford UniversityStanfordUnited States
| | - Dana Pe'er
- Computational and Systems Biology ProgramSloan Kettering InstituteNew YorkUnited States
| | | | - Chris P Ponting
- MRC Human Genetics Unit, MRC Institute of Genetics & Molecular MedicineUniversity of EdinburghEdinburghUnited Kingdom
| | - Stephen Quake
- Department of Applied Physics and Department of BioengineeringStanford UniversityStanfordUnited States
- Chan Zuckerberg BiohubSan FranciscoUnited States
| | - Wolf Reik
- Wellcome Trust Sanger Institute, Wellcome Genome CampusHinxtonUnited Kingdom
- Epigenetics ProgrammeThe Babraham InstituteCambridgeUnited Kingdom
- Centre for Trophoblast ResearchUniversity of CambridgeCambridgeUnited Kingdom
| | | | - Joshua Sanes
- Center for Brain Science and Department of Molecular and Cellular BiologyHarvard UniversityCambridgeUnited States
| | - Rahul Satija
- Department of BiologyNew York UniversityNew YorkUnited States
- New York Genome CenterNew York UniversityNew YorkUnited States
| | - Ton N Schumacher
- Division of ImmunologyThe Netherlands Cancer InstituteAmsterdamThe Netherlands
| | - Alex Shalek
- Broad Institute of MIT and HarvardCambridgeUnited States
- Institute for Medical Engineering & Science (IMES) and Department of ChemistryMassachusetts Institute of TechnologyCambridgeUnited States
- Ragon Institute of MGH, MIT and HarvardCambridgeUnited States
| | - Ehud Shapiro
- Department of Computer Science and Department of Biomolecular SciencesWeizmann Institute of ScienceRehovotIsrael
| | - Padmanee Sharma
- Department of Genitourinary Medical Oncology, Department of Immunology, MD Anderson Cancer CenterUniversity of TexasHoustonUnited States
| | - Jay W Shin
- Division of Genomic TechnologiesRIKEN Center for Life Science TechnologiesYokohamaJapan
| | - Oliver Stegle
- EMBL-European Bioinformatics InstituteWellcome Genome CampusHinxtonUnited Kingdom
| | - Michael Stratton
- Wellcome Trust Sanger Institute, Wellcome Genome CampusHinxtonUnited Kingdom
| | | | - Fabian J Theis
- Institute of Computational BiologyGerman Research Center for Environmental Health, Helmholtz Center MunichNeuherbergGermany
- Department of MathematicsTechnical University of MunichGarchingGermany
| | - Matthias Uhlen
- Science for Life Laboratory and Department of ProteomicsKTH Royal Institute of TechnologyStockholmSweden
- Novo Nordisk Foundation Center for BiosustainabilityDanish Technical UniversityLyngbyDenmark
| | | | - Allon Wagner
- Department of Electrical Engineering and Computer Science and the Center for Computational BiologyUniversity of California, BerkeleyBerkeleyUnited States
| | - Fiona Watt
- Centre for Stem Cells and Regenerative MedicineKing's College LondonLondonUnited Kingdom
| | - Jonathan Weissman
- Howard Hughes Medical InstituteChevy ChaseUnited States
- Department of Cellular & Molecular PharmacologyUniversity of California, San FranciscoSan FranciscoUnited States
- California Institute for Quantitative Biomedical ResearchUniversity of California, San FranciscoSan FranciscoUnited States
- Center for RNA Systems BiologyUniversity of California, San FranciscoSan FranciscoUnited States
| | - Barbara Wold
- Division of Biology and Biological EngineeringCalifornia Institute of TechnologyPasadenaUnited States
| | - Ramnik Xavier
- Broad Institute of MIT and HarvardCambridgeUnited States
- Center for Computational and Integrative BiologyMassachusetts General HospitalBostonUnited States
- Gastrointestinal Unit and Center for the Study of Inflammatory Bowel DiseaseMassachusetts General HospitalBostonUnited States
- Center for Microbiome Informatics and TherapeuticsMassachusetts Institute of TechnologyCambridgeUnited States
| | - Nir Yosef
- Ragon Institute of MGH, MIT and HarvardCambridgeUnited States
- Department of Electrical Engineering and Computer Science and the Center for Computational BiologyUniversity of California, BerkeleyBerkeleyUnited States
| | - Human Cell Atlas Meeting Participants
- Broad Institute of MIT and HarvardCambridgeUnited States
- Department of BiologyMassachusetts Institute of TechnologyCambridgeUnited States
- Howard Hughes Medical InstituteChevy ChaseUnited States
- Wellcome Trust Sanger Institute, Wellcome Genome CampusHinxtonUnited Kingdom
- EMBL-European Bioinformatics InstituteWellcome Genome CampusHinxtonUnited Kingdom
- Cavendish Laboratory, Department of PhysicsUniversity of CambridgeCambridgeUnited Kingdom
- Department of Systems BiologyHarvard Medical SchoolBostonUnited States
- Department of ImmunologyWeizmann Institute of ScienceRehovotIsrael
- Division of Immunology, Department of Microbiology and ImmunobiologyHarvard Medical SchoolBostonUnited States
- Institute of Molecular Life SciencesUniversity of ZürichZürichSwitzerland
- Department of HaematologyUniversity of CambridgeCambridgeUnited Kingdom
- Division of Genomic TechnologiesRIKEN Center for Life Science TechnologiesYokohamaJapan
- Molecular Immunity Unit, Department of Medicine, MRC Laboratory of Molecular BiologyUniversity of CambridgeCambridgeUnited Kingdom
- Hubrecht Institute, Princess Maxima Center for Pediatric Oncology and University Medical Center UtrechtUtrechtThe Netherlands
- Institute of Bioengineering, School of Life SciencesSwiss Federal Institute of Technology (EPFL)LausanneSwitzerland
- Department of Systems Pharmacology and Translational TherapeuticsPerelman School of Medicine, University of PennsylvaniaPhiladelphiaUnited States
- Division of Theoretical Bioinformatics (B080)German Cancer Research Center (DKFZ)HeidelbergGermany
- Department for Bioinformatics and Functional Genomics, Institute for Pharmacy and Molecular Biotechnology (IPMB) and BioQuantHeidelberg UniversityHeidelbergGermany
- Department of Biology IILudwig Maximilian University MunichMartinsriedGermany
- Takara Bio United States, Inc.Mountain ViewUnited States
- Oxford Centre for Neuroinflammation, Nuffield Department of Clinical Neurosciences, and MRC Human Immunology Unit, Weatherall Institute of Molecular MedicineJohn Radcliffe Hospital, University of OxfordOxfordUnited Kingdom
- Wellcome Trust-MRC Cambridge Stem Cell InstituteUniversity of CambridgeCambridgeUnited Kingdom
- Massachusetts General Hospital Cancer CenterBostonUnited States
- Institute of Cellular MedicineNewcastle UniversityNewcastle upon TyneUnited Kingdom
- Departments of Developmental Biology and of MedicineStanford University School of MedicineStanfordUnited States
- Peter Medawar Building for Pathogen Research and the Translational Gastroenterology Unit, Nuffield Department of Clinical MedicineUniversity of OxfordOxfordUnited Kingdom
- Oxford NIHR Biomedical Research CentreJohn Radcliffe HospitalOxfordUnited Kingdom
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell ResearchUniversity of California, San FranciscoSan FranciscoUnited States
- Allen Institute for Brain ScienceSeattleUnited States
- Laboratory for Molecular Neurobiology, Department of Medical Biochemistry and BiophysicsKarolinska InstitutetStockholmSweden
- Science for Life Laboratory, School of BiotechnologyKTH Royal Institute of TechnologyStockholmSweden
- Department of GeneticsStanford UniversityStanfordUnited States
- Science for Life Laboratory, Department of Gene TechnologyKTH Royal Institute of TechnologyStockholmSweden
- National Institute of Biomedical GenomicsKalyaniIndia
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUnited Kingdom
- Precision Immunology InstituteIcahn School of Medicine at Mount SinaiNew YorkUnited States
- Division of Chemical, Systems & Synthetic Biology, Institute for Infectious Disease & Molecular Medicine (IDM), Department of Integrative Biomedical Sciences, Faculty of Health SciencesUniversity of Cape TownCape TownSouth Africa
- Department of Pathology and Medical Biology, GRIAC Research InstituteUniversity of Groningen, University Medical Center GroningenGroningenThe Netherlands
- Department of Internal Medicine and Radboud Center for Infectious DiseasesRadboud University Medical CenterNijmegenThe Netherlands
- Department of Microbiology and ImmunologyStanford UniversityStanfordUnited States
- Computational and Systems Biology ProgramSloan Kettering InstituteNew YorkUnited States
- MRC Human Genetics Unit, MRC Institute of Genetics & Molecular MedicineUniversity of EdinburghEdinburghUnited Kingdom
- Department of Applied Physics and Department of BioengineeringStanford UniversityStanfordUnited States
- Chan Zuckerberg BiohubSan FranciscoUnited States
- Epigenetics ProgrammeThe Babraham InstituteCambridgeUnited Kingdom
- Centre for Trophoblast ResearchUniversity of CambridgeCambridgeUnited Kingdom
- Center for Brain Science and Department of Molecular and Cellular BiologyHarvard UniversityCambridgeUnited States
- Department of BiologyNew York UniversityNew YorkUnited States
- New York Genome CenterNew York UniversityNew YorkUnited States
- Division of ImmunologyThe Netherlands Cancer InstituteAmsterdamThe Netherlands
- Institute for Medical Engineering & Science (IMES) and Department of ChemistryMassachusetts Institute of TechnologyCambridgeUnited States
- Ragon Institute of MGH, MIT and HarvardCambridgeUnited States
- Department of Computer Science and Department of Biomolecular SciencesWeizmann Institute of ScienceRehovotIsrael
- Department of Genitourinary Medical Oncology, Department of Immunology, MD Anderson Cancer CenterUniversity of TexasHoustonUnited States
- Institute of Computational BiologyGerman Research Center for Environmental Health, Helmholtz Center MunichNeuherbergGermany
- Department of MathematicsTechnical University of MunichGarchingGermany
- Science for Life Laboratory and Department of ProteomicsKTH Royal Institute of TechnologyStockholmSweden
- Novo Nordisk Foundation Center for BiosustainabilityDanish Technical UniversityLyngbyDenmark
- Hubrecht Institute and University Medical Center UtrechtUtrechtThe Netherlands
- Department of Electrical Engineering and Computer Science and the Center for Computational BiologyUniversity of California, BerkeleyBerkeleyUnited States
- Centre for Stem Cells and Regenerative MedicineKing's College LondonLondonUnited Kingdom
- Department of Cellular & Molecular PharmacologyUniversity of California, San FranciscoSan FranciscoUnited States
- California Institute for Quantitative Biomedical ResearchUniversity of California, San FranciscoSan FranciscoUnited States
- Center for RNA Systems BiologyUniversity of California, San FranciscoSan FranciscoUnited States
- Division of Biology and Biological EngineeringCalifornia Institute of TechnologyPasadenaUnited States
- Center for Computational and Integrative BiologyMassachusetts General HospitalBostonUnited States
- Gastrointestinal Unit and Center for the Study of Inflammatory Bowel DiseaseMassachusetts General HospitalBostonUnited States
- Center for Microbiome Informatics and TherapeuticsMassachusetts Institute of TechnologyCambridgeUnited States
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Simonds E, Cayanan G, Park J, Bendall S, Nolan G, Weiss W. STEM-22. Single-cell mass cytometry of human glioblastoma reveals phenotypic heterogeneity and distinct cell cycle and epigenetic states among glioma stem cells. Neuro Oncol 2017. [DOI: 10.1093/neuonc/nox168.937] [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] [Indexed: 11/14/2022] Open
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33
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Marks E, Naudin C, Nolan G, Goggins BJ, Burns G, Mateer SW, Latimore JK, Minahan K, Plank M, Foster PS, Callister R, Veysey M, Walker MM, Talley NJ, Radford-Smith G, Keely S. Regulation of IL-12p40 by HIF controls Th1/Th17 responses to prevent mucosal inflammation. Mucosal Immunol 2017; 10:1224-1236. [PMID: 28120851 DOI: 10.1038/mi.2016.135] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2016] [Accepted: 12/06/2016] [Indexed: 02/04/2023]
Abstract
Intestinal inflammatory lesions are inherently hypoxic, due to increased metabolic demands created by cellular infiltration and proliferation, and reduced oxygen supply due to vascular damage. Hypoxia stabilizes the transcription factor hypoxia-inducible factor-1α (HIF) leading to a coordinated induction of endogenously protective pathways. We identified IL12B as a HIF-regulated gene and aimed to define how the HIF-IL-12p40 axis influenced intestinal inflammation. Intestinal lamina propria lymphocytes (LPL) were characterized in wild-type and IL-12p40-/- murine colitis treated with vehicle or HIF-stabilizing prolyl-hydroxylase inhibitors (PHDi). IL12B promoter analysis was performed to examine hypoxia-responsive elements. Immunoblot analysis of murine and human LPL supernatants was performed to characterize the HIF/IL-12p40 signaling axis. We observed selective induction of IL-12p40 following PHDi-treatment, concurrent with suppression of Th1 and Th17 responses in murine colitis models. In the absence of IL-12p40, PHDi-treatment was ineffective. Analysis of the IL12B promoter identified canonical HIF-binding sites. HIF stabilization in LPLs resulted in production of IL-12p40 homodimer which was protective against colitis. The selective induction of IL-12p40 by HIF-1α leads to a suppression of mucosal Th1 and Th17 responses. This HIF-IL12p40 axis may represent an endogenously protective mechanism to limit the progression of chronic inflammation, shifting from pro-inflammatory IL-12p70 to an antagonistic IL-12p40 homodimer.
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Affiliation(s)
- E Marks
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, New South Wales, Australia.,Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - C Naudin
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, New South Wales, Australia.,Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - G Nolan
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, New South Wales, Australia.,Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - B J Goggins
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, New South Wales, Australia.,Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia.,Priority Research Centre for Digestive Health and Neurogastroenterology, University of Newcastle, Newcastle, New South Wales, Australia
| | - G Burns
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, New South Wales, Australia.,Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia.,Priority Research Centre for Digestive Health and Neurogastroenterology, University of Newcastle, Newcastle, New South Wales, Australia
| | - S W Mateer
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, New South Wales, Australia.,Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia.,Priority Research Centre for Digestive Health and Neurogastroenterology, University of Newcastle, Newcastle, New South Wales, Australia
| | - J K Latimore
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, New South Wales, Australia.,Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia.,Priority Research Centre for Digestive Health and Neurogastroenterology, University of Newcastle, Newcastle, New South Wales, Australia
| | - K Minahan
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, New South Wales, Australia.,Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia.,Priority Research Centre for Digestive Health and Neurogastroenterology, University of Newcastle, Newcastle, New South Wales, Australia
| | - M Plank
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, New South Wales, Australia.,Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - P S Foster
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, New South Wales, Australia.,Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - R Callister
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, New South Wales, Australia.,Priority Research Centre for Digestive Health and Neurogastroenterology, University of Newcastle, Newcastle, New South Wales, Australia
| | - M Veysey
- Priority Research Centre for Digestive Health and Neurogastroenterology, University of Newcastle, Newcastle, New South Wales, Australia.,School of Medicine, Public Health, University of Newcastle, Newcastle, New South Wales, Australia
| | - M M Walker
- Priority Research Centre for Digestive Health and Neurogastroenterology, University of Newcastle, Newcastle, New South Wales, Australia.,School of Medicine, Public Health, University of Newcastle, Newcastle, New South Wales, Australia
| | - N J Talley
- Priority Research Centre for Digestive Health and Neurogastroenterology, University of Newcastle, Newcastle, New South Wales, Australia.,School of Medicine, Public Health, University of Newcastle, Newcastle, New South Wales, Australia
| | - G Radford-Smith
- Royal Brisbane and Women's Hospital, Brisbane, School of Medicine, University of Queensland, Brisbane, Queensland, Australia.,QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - S Keely
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, New South Wales, Australia.,Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia.,Priority Research Centre for Digestive Health and Neurogastroenterology, University of Newcastle, Newcastle, New South Wales, Australia
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Bansal N, Farias E, Gonzalez V, Nolan G, Waxman S. Abstract 2083: Development of novel targeted adjuvant therapy for triple negative breast cancer. Cancer Res 2017. [DOI: 10.1158/1538-7445.am2017-2083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
There is an unmet clinical need for targeted adjuvant therapy in Triple Negative Breast Cancer (TNBC) to overcome its poor prognosis, short disease-free interval and metastatic dissemination. We previously reported that blocking interactions between the PAH2 domain of chromatin regulator Sin3 and Sin3 interaction domain (SID) containing proteins like PF1 and TGIF1 by SID decoys (peptides and small molecule, C16) decreased the cancer stem cell population, invasion, EMT, and metastases. This, programmed upregulation of retinoid signaling that sensitized TNBC cells to AM80, a novel clinically available RARα-specific agonist. Here we report preclinical investigations on effects of SID decoys and AM80 treatments on cellular heterogeneity, primary tumors, metastatic dissemination, minimum residual disease (MRD) and host microenvironment. Using CyTOF2, we made single cell measurements of markers of differentiation, proliferation and stemness in CSC-enriched 4T1 tumorspheres. Treatment with SID peptide decreased cell populations expressing nanog, sox2, vimentin and β-catenin with increase in γH2AX. Addition of AM80 in combination with C16, resulted in populations with increased expression of differentiation marker CD24 with decrease in vimentin, β-catenin and Ki-67. To interrogate the neo-adjuvant effects of C16-AM80 treatments, primary 4T1 tumors in Balb/c mice were treated with C16 and AM80 alone or in combination. Compared to DMSO, ~40 % decrease in tumor weight, 60% decrease in ALDH activity and 60% decrease in lung metastasis was seen in mice treated with C16-AM80 combination. In post-surgical adjuvant settings, in both 4T1 and MMTV-myc xenografts, we observed 100% disease-free survival and absence of macrometastasis in mice receiving minimally toxic adjuvant therapy with the C16-AM80 combination for 90 days. However, MRD was found consisting of a small number of single CK8+ cells which failed to form colonies when recovered from the bone marrow and selectively cultured in vitro. Upon stopping the treatments, 20-40% animals developed macrometastases within the first three months. To test the influence of C16-AM80 to condition the host microenvironment to prevent macrometastases mice received only pretreatment with C16 and AM80 followed by 4T1 cells injected in the tail vein. The percentage of parenchyma occupied by metastatic nodules were: DMSO = 50%; AM80 = 25%; C16 >10% and C16-AM = <<10%; the mitotic features were greatly reduce from 0-5 in DMSO to 0-1 per 400x/field in the C16-AM80 combination. The predominant effects were observed with C16 treatment, which was enhanced to a small degree in combination with AM80. These results suggest that C16 can potentially induce changes in the host microenvironment to prevent the colonization and metastatic growth of cancer cells in TNBC. Altogether, our preclinical studies merit expansion of a pre-clinical program for development of C16-AM80 combination as a targeted adjuvant therapy to treat TNBC.
Citation Format: Nidhi Bansal, Eduardo Farias, Veronica Gonzalez, Garry Nolan, Samuel Waxman. Development of novel targeted adjuvant therapy for triple negative breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 2083. doi:10.1158/1538-7445.AM2017-2083
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Affiliation(s)
- Nidhi Bansal
- 1Icahn School of Medicine at Mount Sinai, Manhattan, NY
| | | | | | - Garry Nolan
- 2Stanford University School of Medicine, Stanford, CA
| | - Samuel Waxman
- 1Icahn School of Medicine at Mount Sinai, Manhattan, NY
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Simonds E, Aghaeepour N, Cayanan G, Park J, Nolan G, Weiss W. HGG-21. IDENTIFICATION OF SMALL MOLECULE KINASE INHIBITORS WITH SPECIFIC ACTIVITY IN PEDIATRIC GLIOMA. Neuro Oncol 2017. [DOI: 10.1093/neuonc/nox083.110] [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] [Indexed: 11/13/2022] Open
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Baca Q, Cosma A, Nolan G, Gaudilliere B. The road ahead: Implementing mass cytometry in clinical studies, one cell at a time. Cytometry B Clin Cytom 2017; 92:10-11. [PMID: 27874247 DOI: 10.1002/cyto.b.21497] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Affiliation(s)
- Quentin Baca
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Antonio Cosma
- CEA - Université Paris Sud 11 - INSERM U1184, Immunology of viral infections and autoimmune diseases, Fontenay-aux- Roses, France
| | - Garry Nolan
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA
| | - Brice Gaudilliere
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, California, USA
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Somé OR, Ndoye JM, Yohann R, Nolan G, Roccia H, Dakoure WP, Chaffanjon P. An anatomical study of the intersigmoid fossa and applications for internal hernia surgery. Surg Radiol Anat 2016; 39:243-248. [PMID: 27655149 DOI: 10.1007/s00276-016-1747-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [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: 04/04/2016] [Accepted: 09/12/2016] [Indexed: 12/24/2022]
Abstract
PURPOSE To improve the knowledge of the morphometry and the surrounding anatomical structures of the intersigmoid fossa and to determine possible surgical applications. METHOD Forty eight adult cadavers (29 female and 19 male; mean age 83 years) underwent dissection in the Laboratoire d'Anatomie des Alpes Francaises. Two injections in the right carotid resulted in a total body concentration of formalin of 1.3 %. The study parameters were the dimensions of the intersigmoid fossa orifice and the fossa's relationship to surrounding structures. Data were recorded and analyzed using Microsoft Office Excel (MS Cerp). A Pearson coefficient r was used to examine the correlation between the length of colon and the ISF volume. RESULTS The intersigmoid fossa was present in 75 % of cases (n = 36). The average dimensions for the transverse diameter, longitudinal diameter, and the depth were, respectively, 20.5 ± 0.2, 20.3 ± 0.13, and 26.8 ± 0.2 mm. The primary and secondary roots bordering this fossa measured on average 59.1 ± 0.1 and 48.3 ± 0.13 mm. In 13.9 % of cases (n = 5), the maximum depth was >40 mm and in 16.7 % of cases (n = 6), one of the diameters of the orifice entry of the fossa was >40 mm. The ureter and external iliac artery were the most frequently encountered structures during the dissection of the fundus of the intersigmoid fossa. CONCLUSION The intersigmoid fossa remains present in most of the reported dissections of cadavers. It constitutes an essential landmark in the surgery of the sigmoid colon due to its deep structural relationship with the left ureter and external iliac artery.
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Affiliation(s)
- O R Somé
- Laboratoire d'anatomie des Alpes françaises (LADAF) de la faculté de médecine, Université Joseph Fourier, Grenoble, France. .,Laboratoire d'anatomie, Université Cheickh Anta Diop, Dakar, Senegal. .,Institut Supérieur des Sciences de la Santé, Université Polytechnique, Bobo Dioulasso, Burkina Faso.
| | - J M Ndoye
- Laboratoire d'anatomie, Université Cheickh Anta Diop, Dakar, Senegal
| | - R Yohann
- Laboratoire d'anatomie des Alpes françaises (LADAF) de la faculté de médecine, Université Joseph Fourier, Grenoble, France
| | - G Nolan
- Laboratoire d'anatomie des Alpes françaises (LADAF) de la faculté de médecine, Université Joseph Fourier, Grenoble, France
| | - H Roccia
- Laboratoire d'anatomie des Alpes françaises (LADAF) de la faculté de médecine, Université Joseph Fourier, Grenoble, France
| | - W P Dakoure
- Laboratoire d'anatomie des Alpes françaises (LADAF) de la faculté de médecine, Université Joseph Fourier, Grenoble, France
| | - P Chaffanjon
- Laboratoire d'anatomie des Alpes françaises (LADAF) de la faculté de médecine, Université Joseph Fourier, Grenoble, France
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Jujjavarapu C, Hughey J, Gherardini F, Bruggner R, Nolan G, Bhattacharya S, Butte A. A Framework for Meta-Analysis of Cytometry Data. The Journal of Immunology 2016. [DOI: 10.4049/jimmunol.196.supp.69.16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Abstract
Flow cytometry has been used to analyze cell populations with a certain condition, but because of the limitations of a single flow cytometry experiment, results only present a small portion of cell populations. Meta-analysis has been used to compare and contrast multiple datasets in hopes of discovering new insights. Scientists can then identify more cell populations linked to the condition. Therefore, we are developing a method to standardize and analyze multiple flow cytometry datasets.
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Lee RNC, Kelly E, Nolan G, Eigenheer S, Boylan D, Murphy D, Dodd J, Keane MP, McNicholas WT. Disordered breathing during sleep and exercise in idiopathic pulmonary fibrosis. QJM 2016; 109:142. [PMID: 26354763 DOI: 10.1093/qjmed/hcv159] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- R N C Lee
- From the Department of Respiratory Medicine, St.Vincent's University Hospital, Dublin, Ireland, School of Medicine and Medical Science, University College Dublin, Ireland, and
| | - E Kelly
- From the Department of Respiratory Medicine, St.Vincent's University Hospital, Dublin, Ireland, School of Medicine and Medical Science, University College Dublin, Ireland, and
| | - G Nolan
- From the Department of Respiratory Medicine, St.Vincent's University Hospital, Dublin, Ireland
| | - S Eigenheer
- From the Department of Respiratory Medicine, St.Vincent's University Hospital, Dublin, Ireland
| | - D Boylan
- School of Medicine and Medical Science, University College Dublin, Ireland, and
| | - D Murphy
- Department of Radiology, St. Vincent's University Hospital, Dublin, Ireland
| | - J Dodd
- Department of Radiology, St. Vincent's University Hospital, Dublin, Ireland
| | - M P Keane
- From the Department of Respiratory Medicine, St.Vincent's University Hospital, Dublin, Ireland, School of Medicine and Medical Science, University College Dublin, Ireland, and
| | - W T McNicholas
- From the Department of Respiratory Medicine, St.Vincent's University Hospital, Dublin, Ireland, School of Medicine and Medical Science, University College Dublin, Ireland, and
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Aghaeepour N, Chattopadhyay P, Chikina M, Dhaene T, Van Gassen S, Kursa M, Lambrecht BN, Malek M, Qian Y, Qiu P, Saeys Y, Stanton R, Tong D, Vens C, Walkowiak S, Wang K, Finak G, Gottardo R, Mosmann T, Nolan G, Scheuermann RH, Brinkman RR. A benchmark for evaluation of algorithms for identification of cellular correlates of clinical outcomes. Cytometry A 2016; 89:16-21. [PMID: 26447924 PMCID: PMC4874734 DOI: 10.1002/cyto.a.22732] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [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: 01/27/2015] [Revised: 05/20/2015] [Accepted: 07/16/2015] [Indexed: 11/07/2022]
Abstract
The Flow Cytometry: Critical Assessment of Population Identification Methods (FlowCAP) challenges were established to compare the performance of computational methods for identifying cell populations in multidimensional flow cytometry data. Here we report the results of FlowCAP-IV where algorithms from seven different research groups predicted the time to progression to AIDS among a cohort of 384 HIV+ subjects, using antigen-stimulated peripheral blood mononuclear cell (PBMC) samples analyzed with a 14-color staining panel. Two approaches (FlowReMi.1 and flowDensity-flowType-RchyOptimyx) provided statistically significant predictive value in the blinded test set. Manual validation of submitted results indicated that unbiased analysis of single cell phenotypes could reveal unexpected cell types that correlated with outcomes of interest in high dimensional flow cytometry datasets.
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Affiliation(s)
- Nima Aghaeepour
- British Columbia Cancer Agency, Vancouver, BC, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- Baxter Laboratory in Stem Cell Biology, Stanford University, Stanford, CA, USA
| | - Pratip Chattopadhyay
- ImmunoTechnology Section, Vaccine Research Center, National Institutes of Health, Washington, DC, USA
| | - Maria Chikina
- Department Computational and Systems Biology, University of Pittsburgh, Pittsburg, USA
| | - Tom Dhaene
- Department of Information Technology, Ghent University - iMinds, Ghent, Belgium
| | - Sofie Van Gassen
- Department of Information Technology, Ghent University - iMinds, Ghent, Belgium
- Inflammation Research Center, VIB, Ghent, Belgium
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Miron Kursa
- Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw, Warsaw, Poland
| | - Bart N. Lambrecht
- Inflammation Research Center, VIB, Ghent, Belgium
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
| | | | - Yu Qian
- J. Craig Venter Institute, La Jolla, CA, USA
| | - Peng Qiu
- Department of Biomedical Engineering, Georgia Institute of Technology and Emory University
| | - Yvan Saeys
- Inflammation Research Center, VIB, Ghent, Belgium
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
| | | | - Dong Tong
- The John van Geest Cancer Research Centre, Nottingham Trent University, UK & Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Celine Vens
- Inflammation Research Center, VIB, Ghent, Belgium
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
- Department of Public Health and Primary Care, KU Leuven Kulak, Kortrijk, Belgium
| | - Sławomir Walkowiak
- Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw, Warsaw, Poland
| | - Kui Wang
- Department of Mathematics, University of Queensland, St. Lucia, Brisbane, Australia
- School of Medicine, Shihezi University, Xinjiang 832000, China
| | - Greg Finak
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Raphael Gottardo
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Tim Mosmann
- David H. Smith Center for Vaccine Biology and Immunology, University of Rochester Medical Center, Rochester, NY, USA
| | - Garry Nolan
- Baxter Laboratory in Stem Cell Biology, Stanford University, Stanford, CA, USA
| | - Richard H. Scheuermann
- J. Craig Venter Institute, La Jolla, CA, USA
- Department of Pathology, University of California, San Diego, CA, USA
| | - Ryan R. Brinkman
- British Columbia Cancer Agency, Vancouver, BC, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
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Minnis P, Poland M, Nolan G, Donnelly SC. P35 Identifying Novel Predictors of Outcome in Sarcoidosis. Thorax 2015. [DOI: 10.1136/thoraxjnl-2015-207770.172] [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] [Indexed: 11/03/2022]
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Nishikii H, Umemoto T, Goltsev Y, Matsuzaki Y, Yamato M, Nolan G, Negrin R, Chiba S. Unipotent megakaryopoietic pathway bridging hematopoietic stem cells and mature megakaryocytes. Exp Hematol 2015. [DOI: 10.1016/j.exphem.2015.06.212] [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] [Indexed: 10/23/2022]
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Schaffert SA, Loh C, Wang S, Arnold CP, Axtell RC, Newell EW, Nolan G, Ansel KM, Davis MM, Steinman L, Chen CZ. mir-181a-1/b-1 Modulates Tolerance through Opposing Activities in Selection and Peripheral T Cell Function. J Immunol 2015; 195:1470-9. [PMID: 26163591 DOI: 10.4049/jimmunol.1401587] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Received: 06/25/2014] [Accepted: 06/15/2015] [Indexed: 01/28/2023]
Abstract
Understanding the consequences of tuning TCR signaling on selection, peripheral T cell function, and tolerance in the context of native TCR repertoires may provide insight into the physiological control of tolerance. In this study, we show that genetic ablation of a natural tuner of TCR signaling, mir-181a-1/b-1, in double-positive thymocytes dampened TCR and Erk signaling and increased the threshold of positive selection. Whereas mir-181a-1/b-1 deletion in mice resulted in an increase in the intrinsic reactivity of naive T cells to self-antigens, it did not cause spontaneous autoimmunity. Loss of mir-181a-1/b-1 dampened the induction of experimental autoimmune encephalomyelitis and reduced basal TCR signaling in peripheral T cells and their migration from lymph nodes to pathogenic sites. Taken together, these results demonstrate that tolerance can be modulated by microRNA gene products through the control of opposing activities in T cell selection and peripheral T cell function.
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Affiliation(s)
- Steven A Schaffert
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305; Baxter Laboratory in Stem Cell Biology, Stanford University School of Medicine, Stanford, CA 94305; Program of Immunology, Stanford University School of Medicine, Stanford, CA 94305
| | - Christina Loh
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305; Baxter Laboratory in Stem Cell Biology, Stanford University School of Medicine, Stanford, CA 94305
| | - Song Wang
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305; Baxter Laboratory in Stem Cell Biology, Stanford University School of Medicine, Stanford, CA 94305
| | - Christopher P Arnold
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305; Baxter Laboratory in Stem Cell Biology, Stanford University School of Medicine, Stanford, CA 94305; Program of Immunology, Stanford University School of Medicine, Stanford, CA 94305
| | - Robert C Axtell
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305
| | - Evan W Newell
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305
| | - Garry Nolan
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305; Baxter Laboratory in Stem Cell Biology, Stanford University School of Medicine, Stanford, CA 94305; Program of Immunology, Stanford University School of Medicine, Stanford, CA 94305
| | - K Mark Ansel
- Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA 94143; Sandler Asthma Basic Research Center, University of California San Francisco, San Francisco, CA 94143
| | - Mark M Davis
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305; Program of Immunology, Stanford University School of Medicine, Stanford, CA 94305; Howard Hughes Medical Institute, San Francisco, CA 94158; and
| | - Lawrence Steinman
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305
| | - Chang-Zheng Chen
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305; Baxter Laboratory in Stem Cell Biology, Stanford University School of Medicine, Stanford, CA 94305; Achelois Pharmaceuticals, Inc., San Francisco, CA 94107
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Gaudilliere B, Fragiadakis G, Ganio E, Tingle M, Lancero H, Nolan G, Angst M. Pre-operative immune signatures correlate with recovery from surgical trauma (HUM1P.267). The Journal of Immunology 2015. [DOI: 10.4049/jimmunol.194.supp.52.16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Abstract
Traumatic injury produces a profound immune response that mobilizes both innate and adaptive branches of the immune system. Patient recovery after a major trauma is highly variable. Protracted recovery after surgery -a major trauma- causes significant societal and economic costs. However, the mechanistic underpinning of recovery after surgery remains poorly understood. We recently applied high-parameter mass cytometry at the bedside for the deep immune profiling of patients undergoing orthopedic surgery1. The data revealed patient-specific immune responses in monocyte subsets that contained strong correlates of clinical recovery. In this study, we asked whether differences in patients’ pre-surgical immune states determined recovery. Activation of canonical signaling pathways was elicited in vitro, in pre-surgical patient samples. Single-cell evoked immune responses were analyzed in cell subsets spanning the entire immune system using mass cytometry. Surprisingly, the magnitude of these responses varied significantly across patients, thereby defining patient-specific “immune states”. Among these responses, signaling downstream of the TLR4 receptor in CD14+ monocytes strongly correlated with surgical recovery (R=0.64-0.69). The findings highlight a fundamental role for monocytes in the recovery process and provide the mechanistic basis for a pre-operative diagnostic test to predict the course of surgical recovery. 1.Gaudilliere et al., Sci Transl Med. 2014
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Affiliation(s)
| | | | - Edward Ganio
- 1Anesthesia, Stanford Univ. Sch. of Med., Stanford, CA
| | - Martha Tingle
- 1Anesthesia, Stanford Univ. Sch. of Med., Stanford, CA
| | - Hope Lancero
- 1Anesthesia, Stanford Univ. Sch. of Med., Stanford, CA
| | - Garry Nolan
- 2Microbiology and Immunology, Stanford Univ., Palo, CA
| | - Martin Angst
- 1Anesthesia, Stanford Univ. Sch. of Med., Stanford, CA
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Lee RNC, Kelly E, Nolan G, Eigenheer S, Boylan D, Murphy D, Dodd JD, Keane MP, McNicholas WT. Disordered breathing during sleep and exercise in idiopathic pulmonary fibrosis and the role of biomarkers. QJM 2015; 108:315-23. [PMID: 25253897 DOI: 10.1093/qjmed/hcu175] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND AND OBJECTIVE Idiopathic pulmonary fibrosis (IPF) patients report fatigue, possibly reflecting sleep disturbance, but little is known about sleep-related changes. We compared ventilation and gas exchange during sleep and exercise in a cohort of IPF patients, and evaluated associations with selected biological markers. METHODS Twenty stable IPF patients (aged 67.9 ± 12.3 [SD]) underwent overnight polysomnography following an acclimatization night. Cardiopulmonary exercise testing was performed and inflammatory markers measured including TNF-α, IL-6, CXCL8, C-C motif ligand 18 (CCL-18) and C-reactive protein (CRP) RESULTS: Nine patients had sleep-disordered breathing (SDB) with an apnea-hypopnea frequency (AHI) ≥ 5/h, but only two had Epworth sleepiness score ≥ 10, thus having an obstructive sleep apnea syndrome. Sleep quality was poor. Transcutaneous carbon dioxide tension (PtcCO2) rose by 2.56 ± 1.59 kPa overnight (P = 0.001), suggesting hypoventilation. Oxygen saturation (SaO2) was lower during sleep than exercise (P < 0.01), and exercise variables correlated with resting pulmonary function. CCL-18 and CRP levels were elevated and correlated with PtcCO2 rise during sleep (P < 0.05). CCL-18 negatively correlated with diffusion capacity of carbon monoxide (DLCO), arterial oxygen (PaO2) and mean arterial carbon dioxide (PaCO2) (P < 0.05) and CRP negatively correlated with DLCO, PaO2, sleep SaO2 and oxygen uptake (VO2) during exercise (P < 0.05). CONCLUSIONS IPF patients desaturate more during sleep than exercise; thus, nocturnal pulse oxymetry could be included in clinical assessment. CCL-18 and CRP levels correlate with physiological markers of fibrosis.
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Affiliation(s)
- R N C Lee
- From the Department of Respiratory Medicine, St. Vincent's University Hospital, School of Medicine and Medical Science, University College Dublin, Department of Radiology, St. Vincent's University Hospital, Dublin, Ireland From the Department of Respiratory Medicine, St. Vincent's University Hospital, School of Medicine and Medical Science, University College Dublin, Department of Radiology, St. Vincent's University Hospital, Dublin, Ireland
| | - E Kelly
- From the Department of Respiratory Medicine, St. Vincent's University Hospital, School of Medicine and Medical Science, University College Dublin, Department of Radiology, St. Vincent's University Hospital, Dublin, Ireland From the Department of Respiratory Medicine, St. Vincent's University Hospital, School of Medicine and Medical Science, University College Dublin, Department of Radiology, St. Vincent's University Hospital, Dublin, Ireland
| | - G Nolan
- From the Department of Respiratory Medicine, St. Vincent's University Hospital, School of Medicine and Medical Science, University College Dublin, Department of Radiology, St. Vincent's University Hospital, Dublin, Ireland
| | - S Eigenheer
- From the Department of Respiratory Medicine, St. Vincent's University Hospital, School of Medicine and Medical Science, University College Dublin, Department of Radiology, St. Vincent's University Hospital, Dublin, Ireland
| | - D Boylan
- From the Department of Respiratory Medicine, St. Vincent's University Hospital, School of Medicine and Medical Science, University College Dublin, Department of Radiology, St. Vincent's University Hospital, Dublin, Ireland
| | - D Murphy
- From the Department of Respiratory Medicine, St. Vincent's University Hospital, School of Medicine and Medical Science, University College Dublin, Department of Radiology, St. Vincent's University Hospital, Dublin, Ireland
| | - J D Dodd
- From the Department of Respiratory Medicine, St. Vincent's University Hospital, School of Medicine and Medical Science, University College Dublin, Department of Radiology, St. Vincent's University Hospital, Dublin, Ireland
| | - M P Keane
- From the Department of Respiratory Medicine, St. Vincent's University Hospital, School of Medicine and Medical Science, University College Dublin, Department of Radiology, St. Vincent's University Hospital, Dublin, Ireland From the Department of Respiratory Medicine, St. Vincent's University Hospital, School of Medicine and Medical Science, University College Dublin, Department of Radiology, St. Vincent's University Hospital, Dublin, Ireland
| | - W T McNicholas
- From the Department of Respiratory Medicine, St. Vincent's University Hospital, School of Medicine and Medical Science, University College Dublin, Department of Radiology, St. Vincent's University Hospital, Dublin, Ireland From the Department of Respiratory Medicine, St. Vincent's University Hospital, School of Medicine and Medical Science, University College Dublin, Department of Radiology, St. Vincent's University Hospital, Dublin, Ireland
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Nolan G. A single cell systems-based view of immunology and cancer. Exp Hematol 2014. [DOI: 10.1016/j.exphem.2014.07.030] [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] [Indexed: 11/25/2022]
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Hsieh E, O'Gorman W, Savig E, Gherardini PF, Davis M, Nolan G. High Dimensional Single-Cell Mass Cytometry Demonstrates Conserved Human Toll-Like-Receptor Activation Signatures. J Allergy Clin Immunol 2014. [DOI: 10.1016/j.jaci.2013.12.869] [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] [Indexed: 11/28/2022]
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Gopinath S, Hotson A, Johns J, Nolan G, Monack D. The systemic immune state of super-shedder mice is characterized by a unique neutrophil-dependent blunting of TH1 responses. PLoS Pathog 2013; 9:e1003408. [PMID: 23754944 PMCID: PMC3675027 DOI: 10.1371/journal.ppat.1003408] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2013] [Accepted: 04/23/2013] [Indexed: 01/02/2023] Open
Abstract
Host-to-host transmission of a pathogen ensures its successful propagation and maintenance within a host population. A striking feature of disease transmission is the heterogeneity in host infectiousness. It has been proposed that within a host population, 20% of the infected hosts, termed super-shedders, are responsible for 80% of disease transmission. However, very little is known about the immune state of these super-shedders. In this study, we used the model organism Salmonella enterica serovar Typhimurium, an important cause of disease in humans and animal hosts, to study the immune state of super-shedders. Compared to moderate shedders, super-shedder mice had an active inflammatory response in both the gastrointestinal tract and the spleen but a dampened TH1 response specific to the secondary lymphoid organs. Spleens from super-shedder mice had higher numbers of neutrophils, and a dampened T cell response, characterized by higher levels of regulatory T cells (Tregs), fewer T-bet+ (TH1) T cells as well as blunted cytokine responsiveness. Administration of the cytokine granulocyte colony stimulating factor (G-CSF) and subsequent neutrophilia was sufficient to induce the super-shedder immune phenotype in moderate-shedder mice. Similar to super-shedders, these G-CSF-treated moderate-shedders had a dampened TH1 response with fewer T-bet+ T cells and a loss of cytokine responsiveness. Additionally, G-CSF treatment inhibited IL-2-mediated TH1 expansion. Finally, depletion of neutrophils led to an increase in the number of T-bet+ TH1 cells and restored their ability to respond to IL-2. Taken together, we demonstrate a novel role for neutrophils in blunting IL-2-mediated proliferation of the TH1 immune response in the spleens of mice that are colonized by high levels of S. Typhimurium in the gastrointestinal tract. Bacteria belonging to the genus Salmonella are capable of causing long-term chronic systemic infections in specific hosts where they are shed in the feces. These persistently infected individuals include typhoid carriers and they serve as a reservoir for disease transmission. Despite the importance of Salmonella as a human pathogen, relatively little is known about the host immune response to persistent bacterial infections in the context of transmission. We had shown previously in a mouse model of Salmonella infection that mice shedding high levels of Salmonella (>108 bacteria per gram of feces), known as super-shedders, transmit disease to naïve mice. We show here that these super-shedder mice have a unique immune state compared to mice that have lower levels of Salmonella in their gut. The super-shedder immune state is characterized by an active inflammatory immune response with elevated serum IL-6 and high levels of neutrophils in both the gastrointestinal tract and the systemic sites but a dampened adaptive CD4 T helper type1 (TH1) cell response specific to the spleen. Importantly, we show that the blunted adaptive response, as characterized by reduced TH1 cell frequencies and ability to respond to IL-2 and IL-6, is intimately linked to the levels of neutrophils present in the spleen. We go on to show the functional consequences of dampened cytokine responsiveness, as TH1 cells from moderate-shedders are unable to undergo IL-2-mediated expansion when neutrophilia is induced. Additionally, we show that neutrophil control of IL-2 mediated expansion of TH1 cells is independent of infection. In summary, we describe an immune phenotype associated with transmission of a pathogen and a single immune cell type, neutrophils, which control specific aspects of the super-shedder immune state.
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Affiliation(s)
- Smita Gopinath
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, United States of America
| | - Andrew Hotson
- Department of Microbiology and Immunology, The Baxter Laboratory of Genetic Pharmacology, Stanford University School of Medicine, Stanford, California, United States of America
| | - Jennifer Johns
- Department of Comparative Medicine, Stanford University School of Medicine, Stanford, California, United States of America
| | - Garry Nolan
- Department of Microbiology and Immunology, The Baxter Laboratory of Genetic Pharmacology, Stanford University School of Medicine, Stanford, California, United States of America
| | - Denise Monack
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, United States of America
- * E-mail:
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Fragiadakis G, Gaudilliere B, Angst M, Nolan G. Single cell mass cytometry of human peripheral blood reveals an endogenous immune response to surgical trauma (P1144). The Journal of Immunology 2013. [DOI: 10.4049/jimmunol.190.supp.64.19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Abstract
An integral component of understanding immune function is measuring how the system responds to perturbation. We hypothesized that studying the immune response to the physiological stress of surgical trauma in vivo would uncover endogenous immune signaling networks critical for the function of the human immune system. Mass cytometry enables the measurement of 45 parameters on single immune cells with antibodies to both surface antigens and intracellular signaling proteins. Upon analyzing peripheral blood from patients at several time points pre- and post-surgery, we discovered that surgical trauma produces distinct population size changes, phenotypic changes, and intracellular signaling responses. Single cell analysis of immune signaling networks identified serial waves of six signaling proteins (STAT1, STAT3, STAT5, P38, S6 and CREB) that coordinated the functional response of the innate and adaptive immune systems. In addition, a subset of myeloid cells expands from 1% to 8% of hematopoietic cells in the 24 hours following surgery in all patients. These cells signal through STAT3, STAT1, CREB, and p38, and are phenotypically similar to previously described myeloid-derived suppressor cells. This systems-level single cell analysis generates a personalized surgical immune response profile of unprecedented resolution. In future work we plan to determine the relationship between these profiles and differences in clinical outcomes.
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Affiliation(s)
| | | | - Martin Angst
- 2Anesthesia, Stanford Univ. Sch. of Med., Stanford, CA
| | - Garry Nolan
- 1Microbiology and Immunology, Stanford Univ. Sch. of Med., Stanford, CA
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Lai C, Levinson S, Lin A, Pache J, Goltsev Y, Nolan G, Bers G, Nguyen Q. A robust and sensitive flow cytometric method for multiplex RNA in-situ hybridization analysis of blood cells using oligo probes and branched DNA based signal amplification (P3356). The Journal of Immunology 2013. [DOI: 10.4049/jimmunol.190.supp.135.4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Abstract
We present here a novel method for in-situ hybridization (ISH) detection of multiple RNA targets in single cells using standard flow cytometer. This method is based on the use of oligo pairs as probes and bDNA signal amplification for highly sensitive and specific ISH detection of RNA. The oligo pairs are designed to hybridize to specific target sequences and can be readily synthesized. The oligo probes/RNA target complex is detected after signal is generated by bDNA signal amplification. The method is compatible with immunostaining, so simultaneous staining of protein and RNA in single cells is feasible. We demonstrated the co-staining of RNA and surface marker proteins in PBMC, B cells, T cells and leukemic cell lines of U937, K562, Jurkat and M1. In addition, the flow cytometric analysis of cytokine gene induction by lipopolysaccharides/R848 in PBMC was shown by staining with antibody for CD14 protein and probes for RNAs encoding interleukin-1 beta, -6, -8 and tumor necrosis factor-alpha. Taken together, this novel RNA ISH flow cytometry assay offers an invaluable tool for studying immune response, stem cell biology and infectious diseases.
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Affiliation(s)
- Chunfai Lai
- 1R&D Department, Affymetrix, Inc., Santa Clara, CA
| | | | - Audrey Lin
- 1R&D Department, Affymetrix, Inc., Santa Clara, CA
| | - Jared Pache
- 1R&D Department, Affymetrix, Inc., Santa Clara, CA
| | - Yury Goltsev
- 2Department of Microbiology and Immunology, Stanford Univ. Sch. of Med., Palo Alto, CA
| | - Garry Nolan
- 2Department of Microbiology and Immunology, Stanford Univ. Sch. of Med., Palo Alto, CA
| | - George Bers
- 1R&D Department, Affymetrix, Inc., Santa Clara, CA
| | - Quan Nguyen
- 1R&D Department, Affymetrix, Inc., Santa Clara, CA
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