Protocol for genome-scale differential flux analysis to interrogate metabolic differences from gene expression data.
STAR Protoc
; 5(3): 103291, 2024 Sep 20.
Article
in En
| MEDLINE
| ID: mdl-39235936
ABSTRACT
Deciphering the functional differences between diseased and healthy cells requires understanding the alterations in biochemical flux patterns. We present a genome-scale differential flux analysis (GS-DFA) protocol to elucidate these metabolic disparities by integrating condition-specific gene expression data into the human genome-scale metabolic model (humanGEM). In this protocol, we describe the steps to normalize and integrate data into the humanGEM and analyze differential flux across the biochemical network between diseased and healthy cells. For complete details on the use and execution of this protocol, please refer to Nanda et al.1.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Genome, Human
Limits:
Humans
Language:
En
Journal:
STAR Protoc
/
STAR protocols
Year:
2024
Document type:
Article
Affiliation country:
India
Country of publication:
United States