bioRxivGenomicsPreprint
Transcription-dependent spreading of canonical yeast GATA factor across the body of highly expressed genes
Aria Ronsmans, Maxime WéryiD, Camille Gautier, Marc Descrimes, Evelyne L. Dubois, Antonin MorilloniD, Isabelle GeorisiD
Abstract
GATA transcription factors are highly conserved among eukaryotes and play roles in transcription of genes implicated in cancer progression and hematopoiesis. However, although their consensus binding sites have been well defined in vitro, the in vivo selectivity for recognition by GATA factors remains poorly characterized. Using ChIP-Seq, we identified the Dal80 GATA factor targets in yeast. Our data reveal Dal80 binding to a large set of promoters, sometimes independently of GATA sites. Strikingly, Dal80 was also detected across the body of promoter-bound genes, correlating with high, Dal80-sensitive expression. Mechanistic single-gene experiments showed that Dal80 spreading across gene bodies is independent of intragenic GATA sites but requires transcription elongation. Consistently, Dal80 co-purified with the post-initiation form of RNA Polymerase II. Our work suggests that GATA factors could play dual, synergistic roles during transcription initiation and post-initiation steps, promoting efficient remodeling of the gene expression program in response to environmental changes.\n\nAuthor SummaryGATA transcription factors are highly conserved among eukaryotes and play key roles in cancer progression and hematopoiesis. In budding yeast, four GATA transcription factors are involved in the response to the quality of nitrogen supply. We have determined the whole genome binding profile of one of them, Dal80, and revealed that it also binds across the body or promoter-bound genes. Our observation that ORF binding correlated with elevated transcription levels and exquisite Dal80 sensitivity suggests that GATA factors could play other, unexpected roles at post-initiation stages in eukaryotes.
- organism: yeast
- assay: ChIP-seq
- research focus: gene regulatory network inference
- approach: experimental assay
- Citations
- 0
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