Publication Date:
2014-02-18
Description:
In multicellular organisms, biological function emerges when heterogeneous cell types form complex organs. Nevertheless, dissection of tissues into mixtures of cellular subpopulations is currently challenging. We introduce an automated massively parallel single-cell RNA sequencing (RNA-seq) approach for analyzing in vivo transcriptional states in thousands of single cells. Combined with unsupervised classification algorithms, this facilitates ab initio cell-type characterization of splenic tissues. Modeling single-cell transcriptional states in dendritic cells and additional hematopoietic cell types uncovers rich cell-type heterogeneity and gene-modules activity in steady state and after pathogen activation. Cellular diversity is thereby approached through inference of variable and dynamic pathway activity rather than a fixed preprogrammed cell-type hierarchy. These data demonstrate single-cell RNA-seq as an effective tool for comprehensive cellular decomposition of complex tissues.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4412462/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉 〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4412462/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Jaitin, Diego Adhemar -- Kenigsberg, Ephraim -- Keren-Shaul, Hadas -- Elefant, Naama -- Paul, Franziska -- Zaretsky, Irina -- Mildner, Alexander -- Cohen, Nadav -- Jung, Steffen -- Tanay, Amos -- Amit, Ido -- P50 HG006193/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2014 Feb 14;343(6172):776-9. doi: 10.1126/science.1247651.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Immunology, Weizmann Institute, Rehovot 76100, Israel.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24531970" target="_blank"〉PubMed〈/a〉
Keywords:
Animals
;
Biomarkers
;
Dendritic Cells/metabolism
;
Female
;
Hematopoiesis/genetics
;
Mice, Inbred C57BL
;
RNA, Messenger/*genetics
;
Sequence Analysis, RNA/*methods
;
Single-Cell Analysis/*methods
;
Spleen/metabolism
;
*Transcription, Genetic
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
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