Genome-wide role of Rad26 in promoting transcription-coupled nucleotide excision repair in yeast chromatin.
Mingrui DuanKathiresan SelvamJohn J WyrickPeng MaoPublished in: Proceedings of the National Academy of Sciences of the United States of America (2020)
Transcription-coupled nucleotide excision repair (TC-NER) is an important DNA repair mechanism that removes RNA polymerase (RNAP)-stalling DNA damage from the transcribed strand (TS) of active genes. TC-NER deficiency in humans is associated with the severe neurological disorder Cockayne syndrome. Initiation of TC-NER is mediated by specific factors such as the human Cockayne syndrome group B (CSB) protein or its yeast homolog Rad26. However, the genome-wide role of CSB/Rad26 in TC-NER, particularly in the context of the chromatin organization, is unclear. Here, we used single-nucleotide resolution UV damage mapping data to show that Rad26 and its ATPase activity is critical for TC-NER downstream of the first (+1) nucleosome in gene coding regions. However, TC-NER on the transcription start site (TSS)-proximal half of the +1 nucleosome is largely independent of Rad26, likely due to high occupancy of the transcription initiation/repair factor TFIIH in this nucleosome. Downstream of the +1 nucleosome, the combination of low TFIIH occupancy and high occupancy of the transcription elongation factor Spt4/Spt5 suppresses TC-NER in Rad26-deficient cells. We show that deletion of SPT4 significantly restores TC-NER across the genome in a rad26∆ mutant, particularly in the downstream nucleosomes. These data demonstrate that the requirement for Rad26 in TC-NER is modulated by the distribution of TFIIH and Spt4/Spt5 in transcribed chromatin and Rad26 mainly functions downstream of the +1 nucleosome to remove TC-NER suppression by Spt4/Spt5.
Keyphrases
- dna damage
- dna repair
- genome wide
- oxidative stress
- transcription factor
- dna methylation
- dna damage response
- copy number
- gene expression
- endothelial cells
- signaling pathway
- small molecule
- early onset
- brain injury
- big data
- artificial intelligence
- protein protein
- cell proliferation
- endoplasmic reticulum
- binding protein
- machine learning
- bioinformatics analysis