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COCA-seq: genome-wide mapping of O-GlcNAc-associated open chromatin [RNA-Seq]

GSE294153 Homo sapiens Expression profiling by high throughput sequencing 4 samples Submitted 2025/04/14 Platform GPL24676
Summary
O-GlcNAcylation, a prevalent reversible post-translational modification, intricately alters non-histone proteins, influencing the organization of gene transcriptional regulation within the accessible chromatin environment. This nucleoplasmic landscape, characterized by histone-free regions, fundamentally enables O-GlcNAc-mediated modulation through dynamic accessibility. However, unraveling the O-GlcNAc-open chromatin interplay that governs sophisticated transcriptional regulatory networks remains constrained by current techniques, which lack the resolution to probe this spatiotemporal crosstalk. Here, we reported a general strategy to systematically and chemoselectively profile O-GlcNAc-associated chromatin accessibility on a genome-wide scale (COCA-seq). Through comprehensive validation across low- and high-throughput levels, we demonstrated COCA-seq's dual fidelity in both O-GlcNAc chemoselectivity and open chromatin specificity. We employed it to delve into doxorubicin resistance for breast cancer, scrutinizing pivotal regulatory genes and transcription factors implicated in this complex biological event, such as NRF1 and XBP1. By integrating bulk RNA-seq with COCA-seq, we offered a multiomics perspective, shedding light on related biological processes and pathways like drug efflux and stress homeostasis, thereby uncovering potential mechanisms by which O-GlcNAc-associated open chromatin orchestrates tumor drug resistance. COCA-seq emerges as a general and versatile tool across various biological contexts, poised to reveal the landscape of O-GlcNAc-associated open chromatin regions across the genome and decipher the significance of glycosylation behind it.
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Direct links to NCBI, no account and no request form: the whole study as GSE294153_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1248475 and SRA study SRP577556. Searching any of these in the dataset finder brings you back here.

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