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Regev, A.* ; Teichmann, S.A.* ; Lander, E.S.* ; Amit, I.* ; Benoist, C.* ; Birney, E.* ; Bodenmiller, B.* ; Campbell, P.J.* ; 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.K.* ; Klenerman, P.* ; Kriegstein, A.* ; Lein, E.* ; Linnarsson, S.* ; Lundberg, E.* ; Lundeberg, J.* ; Majumder, P.* ; Marioni, J.C.* ; Merad, M.* ; Mhlanga, M.* ; Nawijn, M.C.* ; Netea, M.* ; Nolan, G.* ; Pe'er, D.* ; Phillipakis, A.* ; Ponting, C.P.* ; Quake, S.R.* ; Reik, W.* ; Rozenblatt-Rosen, O.* ; Sanes, J.R.* ; Satija, R.* ; Schumacher, T.N.* ; Shalek, A.K.* ; Shapiro, E.* ; Sharma, P.* ; Shin, J.W.* ; Stegle, O.* ; Stratton, M.R.* ; Stubbington, M.J.T.* ; Theis, F.J. ; Uhlén, M.* ; van Oudenaarden, A.* ; Wagner, A.* ; Watt, F.M.* ; Weissman, J.S.* ; Wold, B.J.* ; Xavier, R.J.* ; Yosef, N.*

The Human Cell Atlas.

eLife 6:e27041 (2017)
Verlagsversion Postprint DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
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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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Cell Biology ; Computational Biology ; Human ; Mouse ; Systems Biology; Embryonic Stem-cells; Waddingtons Epigenetic Landscape; Human Brain Transcriptome; In-situ Hybridization; Rna-seq Data; Gene-expression; Single Cells; Messenger-rna; Chromatin Accessibility; Hematopoietic Stem
Sprache englisch
Veröffentlichungsjahr 2017
HGF-Berichtsjahr 2017
ISSN (print) / ISBN 2050-084X
e-ISSN 2050-084X
Zeitschrift eLife
Quellenangaben Band: 6, Heft: , Seiten: , Artikelnummer: e27041 Supplement: ,
Verlag eLife Sciences Publications
Verlagsort Cambridge
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Computational Biology (ICB)
POF Topic(s) 30205 - Bioengineering and Digital Health
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) G-503800-001
DOI 10.7554/eLife.27041
WOS ID WOS:000419858100001
PubMed ID 29206104
Erfassungsdatum 2017-12-12
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