Inferring secretory and metabolic pathway activity from omic data with secCellFie.

ABSTRACT: Understanding protein secretion has considerable importance in biotechnology and important implications in a broad range of normal and pathological conditions including development, immunology, and tissue function. While great progress has been made in studying individual proteins in the secretory pathway, measuring and quantifying mechanistic changes in the pathway's activity remains challenging due to the complexity of the biomolecular systems involved. Systems biology has begun to address this issue with the development of algorithmic tools for analyzing biological pathways; however most of these tools remain accessible only to experts in systems biology with extensive computational experience. Here, we expand upon the user-friendly CellFie tool which quantifies metabolic activity from

SUBMITTER: Masson HO 

PROVIDER: S-EPMC11177574 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature