Transcription factors (TFs) play a central role in controlling spatiotemporal gene expression and the response to environmental cues. A comprehensive understanding of gene regulation requires integrating physical protein-DNA interactions (PDIs) with TF regulatory activity, expression patterns, and phenotypic data. Although great progress has been made in mapping PDIs using chromatin immunoprecipitation, these studies have only characterized ~10% of TFs in any metazoan species. The nematode C. elegans has been widely used to study gene regulation due to its compact genome with short regulatory sequences. Here, we delineated the largest gene-centered metazoan PDI network to date by examining interactions between 90% of C. elegans TFs and 15% of gene promoters. We used this network as a backbone to predict TF binding sites for 77 TFs, two-thirds of which are novel, as well as integrate gene expression, protein-protein interaction, and phenotypic data to predict regulatory and biological functions for multiple genes and TFs.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5081483PMC
http://dx.doi.org/10.15252/msb.20167131DOI Listing

Publication Analysis

Top Keywords

gene expression
8
gene regulation
8
phenotypic data
8
tfs
5
gene
5
gene-centered c elegans
4
c elegans protein-dna
4
protein-dna interaction
4
interaction network
4
network framework
4

Similar Publications

Gastric cancer is an aggressive malignancy characterized by significant clinical heterogeneity arising from complex genetic and environmental interactions. This study employed single-cell RNA sequencing, using the 10 × Genomics platform, to analyze 262,532 cells from gastric cancer samples, identifying 32 distinct clusters and 10 major cell types, including immune cells (e.g.

View Article and Find Full Text PDF

Background: Clear cell renal cell carcinoma (ccRCC) is the most common subtype of kidney cancer with a high metastatic rate and high mortality rate. The molecular mechanism of ccRCC development, however, needs further study. Aurora kinase B (AURKB) functions as an important oncogene in various tumors; therefore, in the present study, we aimed to explore the mechanism by which AURKB affects ccRCC development.

View Article and Find Full Text PDF

The underlying mechanisms of the association of bone health with depression - an experimental study.

Mol Biol Rep

January 2025

Medical Sociology and Psychobiology, Department of Health and Physical Activity, University of Potsdam, 14469, Potsdam, Germany.

Background: Depression constitutes a risk factor for osteoporosis, but underlying molecular and cellular mechanisms are not fully understood. MiRNAs influence gene expression and are carried by extracellular vesicles (EV), affecting cell-cell communication.

Aims: (1) Identify the difference in miRNA expression between depressed patients and healthy controls; (2) Analyze associations of these miRNAs with bone turnover markers; (3) Analyze target genes of differentially regulated miRNAs and predict associated pathways regarding depression and bone metabolism.

View Article and Find Full Text PDF

This research seeks to address the gap in past studies by examining the role of the Nrf2 (nuclear factor erythroid 2-related factor 2) and HO-1 (heme oxygenase-1) signaling pathways in hypoxia and the potential effects of alpha-pinene on these factors. Wistar rats were divided into 7 experimental groups (n = 7): 1) control, 2 and 3) groups receiving alpha-pinene 5 and 10 mg/kg (i.p.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!