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dc.contributor.authorDomínguez Conde, C
dc.contributor.authorXu, C
dc.contributor.authorJarvis, Lorna
dc.contributor.authorRainbow, DB
dc.contributor.authorWells, SB
dc.contributor.authorGomes, T
dc.contributor.authorHowlett, SK
dc.contributor.authorSuchanek, O
dc.contributor.authorPolanski, K
dc.contributor.authorKing, HW
dc.contributor.authorMamanova, L
dc.contributor.authorHuang, N
dc.contributor.authorSzabo, PA
dc.contributor.authorRichardson, L
dc.contributor.authorBolt, L
dc.contributor.authorFasouli, ES
dc.contributor.authorMahbubani, Krishnaa
dc.contributor.authorPrete, M
dc.contributor.authorTuck, L
dc.contributor.authorRichoz, N
dc.contributor.authorTuong, Kelvin
dc.contributor.authorCampos, L
dc.contributor.authorMousa, Mousa
dc.contributor.authorNeedham, EJ
dc.contributor.authorPritchard, S
dc.contributor.authorLi, T
dc.contributor.authorElmentaite, R
dc.contributor.authorPark, J
dc.contributor.authorRahmani, E
dc.contributor.authorChen, D
dc.contributor.authorMenon, David
dc.contributor.authorBayraktar, OA
dc.contributor.authorJames, LK
dc.contributor.authorMeyer, KB
dc.contributor.authorYosef, N
dc.contributor.authorClatworthy, Menna
dc.contributor.authorSims, PA
dc.contributor.authorFarber, DL
dc.contributor.authorSaeb-Parsy, Kourosh
dc.contributor.authorJones, Joanna
dc.contributor.authorTeichmann, Sarah
dc.date.accessioned2022-03-25T00:30:14Z
dc.date.available2022-03-25T00:30:14Z
dc.date.issued2022-05-13
dc.identifier.issn0036-8075
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/335337
dc.description.abstractDespite 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.
dc.description.sponsorshipCZI NIH grant ERC grant (Thdefine)
dc.publisherAmerican Association for the Advancement of Science (AAAS)
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleCross-tissue immune cell analysis reveals tissue-specific features in humans.
dc.typeArticle
dc.publisher.departmentDepartment of Clinical Neurosciences
dc.date.updated2022-03-23T09:06:16Z
prism.publicationNameScience
dc.identifier.doi10.17863/CAM.82768
dcterms.dateAccepted2022-03-23
rioxxterms.versionofrecord10.1126/science.abl5197
rioxxterms.versionAM
dc.contributor.orcidDomínguez Conde, C [0000-0002-8684-4655]
dc.contributor.orcidXu, C [0000-0002-6265-999X]
dc.contributor.orcidJarvis, Lorna [0000-0002-5760-0125]
dc.contributor.orcidRainbow, DB [0000-0003-4931-3289]
dc.contributor.orcidWells, SB [0000-0001-5428-0683]
dc.contributor.orcidGomes, T [0000-0003-1333-0191]
dc.contributor.orcidHowlett, SK [0000-0003-0504-4937]
dc.contributor.orcidPolanski, K [0000-0002-2586-9576]
dc.contributor.orcidKing, HW [0000-0001-5972-8926]
dc.contributor.orcidMamanova, L [0000-0003-1463-8622]
dc.contributor.orcidHuang, N [0000-0001-8849-038X]
dc.contributor.orcidSzabo, PA [0000-0003-1603-761X]
dc.contributor.orcidRichardson, L [0000-0001-9064-1271]
dc.contributor.orcidBolt, L [0000-0001-7293-0774]
dc.contributor.orcidFasouli, ES [0000-0003-1621-3396]
dc.contributor.orcidMahbubani, Krishnaa [0000-0002-1327-2334]
dc.contributor.orcidPrete, M [0000-0002-5946-821X]
dc.contributor.orcidTuck, L [0000-0002-1837-7549]
dc.contributor.orcidTuong, Kelvin [0000-0002-6735-6808]
dc.contributor.orcidCampos, L [0000-0003-2445-7120]
dc.contributor.orcidMousa, Mousa [0000-0002-8327-7114]
dc.contributor.orcidNeedham, EJ [0000-0001-7042-7462]
dc.contributor.orcidLi, T [0000-0002-8240-4476]
dc.contributor.orcidElmentaite, R [0000-0001-7366-5466]
dc.contributor.orcidPark, J [0000-0002-1687-2423]
dc.contributor.orcidChen, D [0000-0002-9710-1857]
dc.contributor.orcidMenon, David [0000-0002-3228-9692]
dc.contributor.orcidJames, LK [0000-0002-2252-4636]
dc.contributor.orcidMeyer, KB [0000-0001-5906-1498]
dc.contributor.orcidYosef, N [0000-0001-9004-1225]
dc.contributor.orcidClatworthy, Menna [0000-0002-3340-9828]
dc.contributor.orcidSims, PA [0000-0002-3921-4837]
dc.contributor.orcidFarber, DL [0000-0001-8236-9183]
dc.contributor.orcidSaeb-Parsy, Kourosh [0000-0002-0633-3696]
dc.contributor.orcidJones, Joanna [0000-0003-4974-1371]
dc.contributor.orcidTeichmann, Sarah [0000-0002-6294-6366]
dc.identifier.eissn1095-9203
rioxxterms.typeJournal Article/Review
pubs.funder-project-idWellcome Trust (105924/Z/14/Z)
pubs.funder-project-idWellcome Trust (105924/Z/14/A)
pubs.funder-project-idWellcome Trust (105924/Z/14/Z)
pubs.funder-project-idWellcome Trust (105924/Z/14/A)
pubs.funder-project-idChan Zuckerberg Initiative (via University of California) (10208)
pubs.funder-project-idWellcome Trust (211276/D/18/Z)
pubs.funder-project-idNational Institute for Health Research (NIHRDH-IS-BRC-1215-20014)
cam.orpheus.successWed May 25 11:13:25 BST 2022 - Embargo updated
cam.orpheus.counter3
cam.depositDate2022-03-23
pubs.licence-identifierapollo-deposit-licence-2-1
pubs.licence-display-nameApollo Repository Deposit Licence Agreement
rioxxterms.freetoread.startdate2022-05-13


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International