bioRxivMolecular BiologyPreprint
A bioinformatics screen reveals Hox and chromatin remodeling factors at the Drosophila histone locus
Lauren J. HodkinsoniD, Connor Smith, Heather Skye ComstraiD, Eric H. Albanese, Bukola A. Ajani, Kawsar Arsalan, Alvaro Perez DaissoniD, Katherine B. Forrest, Elijah H. Fox, Matthew R. Guerette, Samia KhaniD, Madeleine P. Koenig, Shivani Lam, Ava S. Lewandowski, Lauren J. Mahoney, Nasserallah Manai, JonCarlo Miglay, Blake A. Miller, Olivia Milloway, Vu D. Ngo, Nicole F. Oey, Tanya A. Punjani, HaoMin SiMaiD, Hollis Zeng, Casey A. SchmidtiD, Leila E. RiederiD
Abstract
Cells orchestrate histone biogenesis with strict temporal and quantitative control. To efficiently regulate histone biogenesis, the repetitive Drosophila melanogaster replication-dependent histone genes are arrayed and clustered at a single locus. Regulatory factors concentrate in a nuclear body known as the histone locus body (HLB), which forms around the locus. Historically, HLB factors are largely discovered by chance, and few are known to interact directly with DNA. It is therefore unclear how the histone genes are specifically targeted for unique and coordinated regulation. To expand the list of known HLB factors, we performed a candidate-based screen by mapping 30 publicly available ChIP datasets and 27 factors to the Drosophila histone gene array. We identified novel transcription factor candidates, including the Drosophila Hox proteins Ultrabithorax, Abdominal-A and Abdominal-B, suggesting a new pathway for these factors in influencing body plan morphogenesis. Additionally, we identified six other transcription factors that target the histone gene array: JIL-1, Hr78, the long isoform of fs(1)h as well as the generalized transcription factors TAF-1, TFIIB, and TFIIF. Our foundational screen provides several candidates for future studies into factors that may influence histone biogenesis. Further, our study emphasizes the powerful reservoir of publicly available datasets, which can be mined as a primary screening technique.
- organism: Drosophila
- assay: ChIP-seq
- research focus: differential expression
- approach: statistical model
- Citations
- 2
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