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

• Published in: Nature communications Vol. 10; no. 1; pp. 380 - 9
• Main Authors: Wang, Xuran, Park, Jihwan, Susztak, Katalin, Zhang, Nancy R., Li, Mingyao
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 22.01.2019; Nature Publishing Group; Nature Portfolio
• Subjects: 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

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...