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Biomedical subjects

Ye Wang

Publications and source records attributed to Ye Wang.

2 recordsLinked to original sources

Translational control by RPL22L1-specific ribosomes enhances DNA repair and chemoresistance.

Ribosome heterogeneity has emerged as a regulatory layer in gene expression, yet its biological roles in cancers remain poorly characterized. Here, we identify RPL22L1, a paralog of the ribosomal protein RPL22, as a key modulator of DNA damage response (DDR) in colorectal cancer cells. DNA damage induces RPL22L1 upregulation and ribosomal incorporation, forming RPL22L1-specific ribosomes. Ribosome profiling reveals that RPL22L1-containing ribosomes preferentially translate mRNAs with highly structured 5' untranslated region (5'UTR). In particular, RPL22L1 enhances the translation of ATRX through a cap-independent mechanism. ATRX subsequently recruits DNA-PKcs to DNA damage sites, thereby enhancing the DNA repair capacity. RPL22L1 loss creates exploitable DDR vulnerabilities, sensitizing cancer cells to cisplatin and PARP inhibitors in vitro and in vivo. Collectively, these findings uncover a specialized ribosome-mediated translational program in DDR and highlight RPL22L1 as a potential therapeutic target in DDR-based cancer therapy.

DNA Repair

map3C: a computational tool for processing multiomic single-cell Hi-C data.

SUMMARY: The emergence of multiomic single-cell Hi-C (scHi-C) methods, which simultaneously profile chromatin conformation and other modalities such as gene expression or DNA methylation, creates tremendous opportunities for studying the genome's structure-function relationships. Existing tools for processing multiomic scHi-C datasets lack certain key functions for downstream bioinformatics analysis. We present map3C, a software tool that incorporates additional key functions. Specifically, we demonstrate that map3C facilitates multiomic scHi-C processing, quality control, and identification of structural variant locations in the genome. AVAILABILITY AND IMPLEMENTATION: map3C is available at https://github.com/luogenomics/map3C and is archived at https://doi.org/10.5281/zenodo.20724719.

Software