Epigenetic control of metabolic identity across cell types.

ABSTRACT:

Background

Constraint-based network modeling is a powerful genomic-scale approach for analyzing cellular metabolism, capturing metabolic variations across tissues and cell types, and defining the metabolic identity essential for identifying disease-associated transcriptional states.

Results

Using RNA-seq and epigenomic data from the EpiATLAS resource of the International Human Epigenome Consortium (IHEC), we reconstructed metabolic networks for 1,555 samples spanning 58 tissues and cell types. Analysis of these networks revealed the distribution of metabolic functionalities across human cell types and provides a compendium of human metabolic activity. This integrative approach allowed us to define, across tissues and cell types, i) reactions that fulfil the basic metabolic p

SUBMITTER: Pacheco MP 

PROVIDER: S-EPMC11291179 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature