Proteome deconvolution of liver biopsies reveals hepatic cell composition as an important marker of fibrosis.

ABSTRACT: Human liver tissue is composed of heterogeneous mixtures of different cell types and their cellular stoichiometry can provide information on hepatic physiology and disease progression. Deconvolution algorithms for the identification of cell types and their proportions have recently been developed for transcriptomic data. However, no method for the deconvolution of bulk proteomics data has been presented to date. Here, we show that proteomes, which usually contain less data than transcriptomes, can provide useful information for cell type deconvolution using different algorithms. We demonstrate that proteomes from defined mixtures of cell lines, isolated primary liver cells, and human liver biopsies can be deconvoluted with high accuracy. In contrast to transcriptome-based deconvolution, li

SUBMITTER: Handin N 

PROVIDER: S-EPMC10498185 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature