Prioritizing Metabolic Gene Regulators through Multi-Omic Network Integration in Maize.

ABSTRACT: Elucidating gene regulatory networks (GRNs) is a major area of study within plant systems biology. Phenotypic traits are intricately linked to specific gene expression profiles. These expression patterns arise primarily from regulatory connections between sets of transcription factors (TFs) and their target genes. In this study, we integrated publicly available co-expression networks derived from more than 6,000 RNA-seq samples, 283 protein-DNA interaction assays, and 16 million of SNPs used to identify expression quantitative loci (eQTL), to construct TF-target networks. In total, we analyzed ~4.6M interactions to generate four distinct types of TF-target networks: co-expression, protein-DNA interaction (PDI), trans-expression quantitative loci (trans-eQTL), and cis-e

SUBMITTER: Gomez-Cano F 

PROVIDER: S-EPMC10925184 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature