Elastic network modeling of cellular networks unveils sensor and effector genes that control information flow.

ABSTRACT: The high-level organization of the cell is embedded in indirect relationships that connect distinct cellular processes. Existing computational approaches for detecting indirect relationships between genes typically consist of propagating abstract information through network representations of the cell. However, the selection of genes to serve as the source of propagation is inherently biased by prior knowledge. Here, we sought to derive an unbiased view of the high-level organization of the cell by identifying the genes that propagate and receive information most effectively in the cell, and the indirect relationships between these genes. To this aim, we adapted a perturbation-response scanning strategy initially developed for identifying allosteric interactions within proteins. We deploye

SUBMITTER: Acar O 

PROVIDER: S-EPMC9216591 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature