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Biology subjects

Nguyen, G. G.

Publications and source records attributed to Nguyen, G. G..

2 recordsLinked to original sources

Integrative CRISPR Screens and RNA-Omics Discover an Essential Role for PUF60-3' Splice Site Interactions in Cancer Progression

RNA-binding proteins (RBPs) are important regulators of post-transcriptional gene expression. Understanding which and how RBPs promote cancer progression is crucial for cancers that lack effective targeted therapies such as triple negative breast cancer (TNBC). Here, we employ both in vitro and in vivo pooled CRISPR/Cas9 screening to identify 50 RBP candidates that are essential for TNBC cell survival. Integrated eCLIP and RNA-sequencing analysis identify that poly(U)-binding splicing factor 60 (PUF60) drives exon inclusion within proliferation-associated transcripts that, when mis-spliced, induce cell cycle arrest and DNA damage. Furthermore, disrupting PUF60 interactions with 3 splice sites via a substitution in its RNA-binding domain causes widespread exon skipping, leading to downregulation of proliferation-associated mRNAs and inducing apoptosis in TNBC cells. We demonstrate that loss of PUF60-RNA interactions inhibits TNBC cell proliferation and shrinks tumor xenografts, revealing the molecular mechanism by which PUF60 supports cancer progression. SignificanceOur work demonstrates functional in vivo screening of RBPs as an effective strategy for identifying unexpected cancer regulators. Here, we reveal a crucial role for PUF60-mediated splicing activity in supporting oncogenic proliferation rates and highlight its potential as a therapeutic target in triple negative breast cancer.

cancer biology↗

Skipper analysis of RNA-protein interactions highlights depletion of genetic variation in translation factor binding sites

Technology for crosslinking and immunoprecipitation followed by sequencing (CLIP-seq) has identified the transcriptomic targets of hundreds of RNA-binding proteins in cells. To increase the power of existing and future CLIP-seq datasets, we introduce Skipper, an end-to-end workflow that converts unprocessed reads into annotated binding sites using an improved statistical framework. Compared to existing methods, Skipper on average calls 3.1-4.2 times more transcriptomic binding sites and sometimes >10 times more sites, providing deeper insight into post-transcriptional gene regulation. Skipper also calls binding to annotated repetitive elements and identifies bound elements for 99% of enhanced CLIP experiments. We perform nine translation factor enhanced CLIPs and apply Skipper to learn determinants of translation factor occupancy including transcript region, sequence, and subcellular localization. Furthermore, we observe depletion of genetic variation in occupied sites and nominate transcripts subject to selective constraint because of translation factor occupancy. Skipper offers fast, easy, customizable analysis of CLIP-seq data.

genomics↗