Bulk tissue cell type deconvolution with multi-subject single-cell expression reference

Knowledge of cell type composition in disease relevant tissues is an important step towards the identification of cellular targets of disease. We present MuSiC, a method that utilizes cell-type specific gene expression from single-cell RNA sequencing (RNA-seq) data to characterize cell type composit...

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Vydáno v:	Nature communications Ročník 10; číslo 1; s. 380 - 9
Hlavní autoři:	Wang, Xuran, Park, Jihwan, Susztak, Katalin, Zhang, Nancy R., Li, Mingyao
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Nature Publishing Group UK 22.01.2019 Nature Publishing Group Nature Portfolio
Témata:	631/114/2415 631/337/2019 Animals Composition Disease Gene Expression Gene Expression Profiling - methods Gene sequencing Heterogeneity Histocompatibility Testing - methods Humanities and Social Sciences Humans Islets of Langerhans - cytology Kidney - cytology Kidneys Mice Models, Theoretical multidisciplinary Music Pancreas Rats Ribonucleic acid RNA Science Science (multidisciplinary) Sequence Analysis, RNA - methods Single-Cell Analysis - methods Target recognition Tissues
ISSN:	2041-1723, 2041-1723
On-line přístup:	Získat plný text
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