Atrophin controls developmental signaling pathways via interactions with Trithorax-like.
Kelvin YeungAnn BoijaEdvin KarlssonPer-Henrik HolmqvistYonit TsatskisIlaria NisoliDamian YapAlireza LorzadehMichelle MoksaMartin HirstSamuel AparicioManolis FantoPer StenbergMattias MannervikHelen McNeillPublished in: eLife (2017)
Mutations in human Atrophin1, a transcriptional corepressor, cause dentatorubral-pallidoluysian atrophy, a neurodegenerative disease. Drosophila Atrophin (Atro) mutants display many phenotypes, including neurodegeneration, segmentation, patterning and planar polarity defects. Despite Atro's critical role in development and disease, relatively little is known about Atro's binding partners and downstream targets. We present the first genomic analysis of Atro using ChIP-seq against endogenous Atro. ChIP-seq identified 1300 potential direct targets of Atro including engrailed, and components of the Dpp and Notch signaling pathways. We show that Atro regulates Dpp and Notch signaling in larval imaginal discs, at least partially via regulation of thickveins and fringe. In addition, bioinformatics analyses, sequential ChIP and coimmunoprecipitation experiments reveal that Atro interacts with the Drosophila GAGA Factor, Trithorax-like (Trl), and they bind to the same loci simultaneously. Phenotypic analyses of Trl and Atro clones suggest that Atro is required to modulate the transcription activation by Trl in larval imaginal discs. Taken together, these data indicate that Atro is a major Trl cofactor that functions to moderate developmental gene transcription.
Keyphrases
- genome wide
- high throughput
- signaling pathway
- single cell
- copy number
- transcription factor
- circulating tumor cells
- dna methylation
- rna seq
- pi k akt
- aedes aegypti
- deep learning
- gene expression
- drosophila melanogaster
- convolutional neural network
- epithelial mesenchymal transition
- high intensity
- induced apoptosis
- induced pluripotent stem cells
- binding protein
- artificial intelligence
- hepatitis c virus
- machine learning
- dna binding
- pluripotent stem cells
- endoplasmic reticulum stress
- men who have sex with men