In:
Molecular Systems Biology, EMBO, Vol. 11, No. 4 ( 2015-04)
Abstract:
image Dynamic experiments and a computational method are co‐designed to infer causal interactions between metabolism, signaling and transcription. Model‐based data integration suggests new candidates for inputs and targets of yeast nitrogen signaling via TOR complex 1. Dynamic experiments yield a consistent, multi‐omics dataset for yeast responses to shifts in nitrogen quality. The cellular response involves extensive rewiring of metabolism via multiple mechanisms. Our generalizable probabilistic framework infers causal relations from heterogeneous data types and exploits prior knowledge on networks and biological mechanisms.
Type of Medium:
Online Resource
ISSN:
1744-4292
,
1744-4292
DOI:
10.15252/msb.20145475
Language:
English
Publisher:
EMBO
Publication Date:
2015
detail.hit.zdb_id:
2193510-5
SSG:
12