دورية أكاديمية
أعرض في EDS

Cross-tissue immune cell analysis reveals tissue-specific features in humans.

التفاصيل البيبلوغرافية
العنوان: Cross-tissue immune cell analysis reveals tissue-specific features in humans.
المؤلفون: Domínguez Conde C; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK., Xu C; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK., Jarvis LB; Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK., Rainbow DB; Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK., Wells SB; Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA., Gomes T; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK., Howlett SK; Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK., Suchanek O; Molecular Immunity Unit, Department of Medicine, University of Cambridge, Cambridge, UK., Polanski K; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK., King HW; Centre for Immunobiology, Blizard Institute, Queen Mary University of London, London, UK., Mamanova L; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK., Huang N; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK., Szabo PA; Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, NY, USA., Richardson L; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK., Bolt L; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK., Fasouli ES; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK., Mahbubani KT; Department of Surgery, University of Cambridge and NIHR Cambridge Biomedical Research Centre, Cambridge, UK., Prete M; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK., Tuck L; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK., Richoz N; Molecular Immunity Unit, Department of Medicine, University of Cambridge, Cambridge, UK., Tuong ZK; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.; Molecular Immunity Unit, Department of Medicine, University of Cambridge, Cambridge, UK., Campos L; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.; West Suffolk Hospital NHS Trust, Bury Saint Edmunds, UK., Mousa HS; Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK., Needham EJ; Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK., Pritchard S; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK., Li T; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK., Elmentaite R; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK., Park J; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK., Rahmani E; Center for Computational Biology, University of California, Berkeley, Berkeley, CA, USA.; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA., Chen D; Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA., Menon DK; Department of Anaesthesia, University of Cambridge, Cambridge, UK., Bayraktar OA; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK., James LK; Centre for Immunobiology, Blizard Institute, Queen Mary University of London, London, UK., Meyer KB; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK., Yosef N; Center for Computational Biology, University of California, Berkeley, Berkeley, CA, USA.; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA.; Chan Zuckerberg Biohub, San Francisco, CA, USA.; Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA., Clatworthy MR; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.; Molecular Immunity Unit, Department of Medicine, University of Cambridge, Cambridge, UK., Sims PA; Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA., Farber DL; Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, NY, USA., Saeb-Parsy K; Department of Surgery, University of Cambridge and NIHR Cambridge Biomedical Research Centre, Cambridge, UK., Jones JL; Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK., Teichmann SA; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.; Theory of Condensed Matter, Cavendish Laboratory, Department of Physics, University of Cambridge, Cambridge, UK.
المصدر: Science (New York, N.Y.) [Science] 2022 May 13; Vol. 376 (6594), pp. eabl5197. Date of Electronic Publication: 2022 May 13.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: American Association for the Advancement of Science Country of Publication: United States NLM ID: 0404511 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-9203 (Electronic) Linking ISSN: 00368075 NLM ISO Abbreviation: Science Subsets: MEDLINE
أسماء مطبوعة: Publication: : Washington, DC : American Association for the Advancement of Science
Original Publication: New York, N.Y. : [s.n.] 1880-
مواضيع طبية MeSH: B-Lymphocytes* , Machine Learning* , Sequence Analysis, RNA* , Single-Cell Analysis* , T-Lymphocytes* , Transcriptome*, Cells, Cultured ; Humans ; Organ Specificity
مستخلص: Despite their crucial role in health and disease, our knowledge of immune cells within human tissues remains limited. We surveyed the immune compartment of 16 tissues from 12 adult donors by single-cell RNA sequencing and VDJ sequencing generating a dataset of ~360,000 cells. To systematically resolve immune cell heterogeneity across tissues, we developed CellTypist, a machine learning tool for rapid and precise cell type annotation. Using this approach, combined with detailed curation, we determined the tissue distribution of finely phenotyped immune cell types, revealing hitherto unappreciated tissue-specific features and clonal architecture of T and B cells. Our multitissue approach lays the foundation for identifying highly resolved immune cell types by leveraging a common reference dataset, tissue-integrated expression analysis, and antigen receptor sequencing.
التعليقات: Comment in: Science. 2022 May 13;376(6594):695-696. (PMID: 35549410)
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معلومات مُعتمدة: K22 AI066976 United States AI NIAID NIH HHS; P30 DK132710 United States DK NIDDK NIH HHS; 206194 United Kingdom WT_ Wellcome Trust; U01 HL145547 United States HL NHLBI NIH HHS; 10208 United Kingdom CRUK_ Cancer Research UK; U19 AI128949 United States AI NIAID NIH HHS; 105924 United Kingdom WT_ Wellcome Trust; P01 AI106697 United States AI NIAID NIH HHS; United Kingdom WT_ Wellcome Trust; 646794 International ERC_ European Research Council
تواريخ الأحداث: Date Created: 20220513 Date Completed: 20220517 Latest Revision: 20240214
رمز التحديث: 20240214
مُعرف محوري في PubMed: PMC7612735
DOI: 10.1126/science.abl5197
PMID: 35549406
قاعدة البيانات: MEDLINE
الوصف
تدمد:1095-9203
DOI:10.1126/science.abl5197