» Articles » PMID: 16880385

Hotspots of Transcription Factor Colocalization in the Genome of Drosophila Melanogaster

Overview
Specialty Science
Date 2006 Aug 2
PMID 16880385
Citations 129
Authors
Affiliations
Soon will be listed here.
Abstract

Regulation of gene expression is a highly complex process that requires the concerted action of many proteins, including sequence-specific transcription factors, cofactors, and chromatin proteins. In higher eukaryotes, the interplay between these proteins and their interactions with the genome still is poorly understood. We systematically mapped the in vivo binding sites of seven transcription factors with diverse physiological functions, five cofactors, and two heterochromatin proteins at approximately 1-kb resolution in a 2.9 Mb region of the Drosophila melanogaster genome. Surprisingly, all tested transcription factors and cofactors show strongly overlapping localization patterns, and the genome contains many "hotspots" that are targeted by all of these proteins. Several control experiments show that the strong overlap is not an artifact of the techniques used. Colocalization hotspots are 1-5 kb in size, spaced on average by approximately 50 kb, and preferentially located in regions of active transcription. We provide evidence that protein-protein interactions play a role in the hotspot association of some transcription factors. Colocalization hotspots constitute a previously uncharacterized type of feature in the genome of Drosophila, and our results provide insights into the general targeting mechanisms of transcription regulators in a higher eukaryote.

Citing Articles

Genomic clustering tendency of transcription factors reflects phase-separated transcriptional condensates at super-enhancers.

Wang S, Wang Z, Zang C Nucleic Acids Res. 2025; 53(3).

PMID: 39868536 PMC: 11760973. DOI: 10.1093/nar/gkaf015.


Functional characteristics and computational model of abundant hyperactive loci in the human genome.

Hudaiberdiev S, Ovcharenko I Elife. 2024; 13.

PMID: 39535534 PMC: 11560132. DOI: 10.7554/eLife.95170.


Binding profiles for 961 and transcription factors reveal tissue-specific regulatory relationships.

Kudron M, Gevirtzman L, Victorsen A, Lear B, Gao J, Xu J Genome Res. 2024; 34(12):2319-2334.

PMID: 39438113 PMC: 11694743. DOI: 10.1101/gr.279037.124.


Memory effects of transcription regulator-DNA interactions in bacteria.

Jung W, Chen T, Santiago A, Chen P Proc Natl Acad Sci U S A. 2024; 121(41):e2407647121.

PMID: 39361642 PMC: 11474097. DOI: 10.1073/pnas.2407647121.


Genome access is transcription factor-specific and defined by nucleosome position.

Grand R, Pregnolato M, Baumgartner L, Hoerner L, Burger L, Schubeler D Mol Cell. 2024; 84(18):3455-3468.e6.

PMID: 39208807 PMC: 11420395. DOI: 10.1016/j.molcel.2024.08.009.


References
1.
Foat B, Morozov A, Bussemaker H . Statistical mechanical modeling of genome-wide transcription factor occupancy data by MatrixREDUCE. Bioinformatics. 2006; 22(14):e141-9. DOI: 10.1093/bioinformatics/btl223. View

2.
van Steensel B, Henikoff S . Epigenomic profiling using microarrays. Biotechniques. 2003; 35(2):346-50, 352-4, 356-7. DOI: 10.2144/03352rv01. View

3.
Orian A . Chromatin profiling, DamID and the emerging landscape of gene expression. Curr Opin Genet Dev. 2006; 16(2):157-64. DOI: 10.1016/j.gde.2006.02.008. View

4.
Chua G, Robinson M, Morris Q, Hughes T . Transcriptional networks: reverse-engineering gene regulation on a global scale. Curr Opin Microbiol. 2004; 7(6):638-46. DOI: 10.1016/j.mib.2004.10.009. View

5.
Matys V, Fricke E, Geffers R, Gossling E, Haubrock M, Hehl R . TRANSFAC: transcriptional regulation, from patterns to profiles. Nucleic Acids Res. 2003; 31(1):374-8. PMC: 165555. DOI: 10.1093/nar/gkg108. View