Bulk Tissue Cell Type Deconvolution with Multi-Subject Single-Cell Expression Reference

We present MuSiC, a method that utilizes cell-type specific gene expression from single-cell RNA sequencing (RNA-seq) data to characterize cell type compositions from bulk RNA-seq data in complex tissues. When applied to pancreatic islet and whole kidney expression data in human, mouse, and rats, Mu...

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Bibliographic Details
Published inbioRxiv
Main Authors Wang, Xuran, Park, Jihwan, Susztak, Katalin, Zhang, Nancy, Li, Mingyao
Format Paper
LanguageEnglish
Published Cold Spring Harbor Cold Spring Harbor Laboratory Press 26.06.2018
Cold Spring Harbor Laboratory
Edition1.1
Subjects
Bioinformatics
Gene expression
Kidneys
Pancreas
Ribonucleic acid
RNA
Online AccessGet full text
ISSN2692-8205
2692-8205
DOI10.1101/354944

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Summary:We present MuSiC, a method that utilizes cell-type specific gene expression from single-cell RNA sequencing (RNA-seq) data to characterize cell type compositions from bulk RNA-seq data in complex tissues. When applied to pancreatic islet and whole kidney expression data in human, mouse, and rats, MuSiC outperformed existing methods, especially for tissues with closely related cell types. MuSiC enables characterization of cellular heterogeneity of complex tissues for identification of disease mechanisms.
Bibliography:SourceType-Working Papers-1
ObjectType-Working Paper/Pre-Print-1
content type line 50
ISSN:2692-8205
2692-8205
DOI:10.1101/354944