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Biology subjects

Yang, H. T.

Publications and source records attributed to Yang, H. T..

3 recordsLinked to original sources

The RNA binding proteins hnRNP H and F regulate splicing of a MYC dependent HRAS exon in Prostate Cancer Cells

The Myc proto-oncogene contributes to the pathogenesis of more than half of human cancers. Malignant transformation by Myc transcriptionally upregulates the core pre-mRNA splicing machinery and causes mis-regulation of alternative splicing. However, our understanding of how splicing changes are directed by Myc is limited. We performed a signaling pathway-guided splicing analysis to identify Myc dependent splicing events. These included an HRAS cassette exon repressed by Myc across multiple tumor types. To molecularly dissect the regulation of this HRAS exon, we used antisense oligonucleotide tiling to identify splicing enhancers and silencers in its flanking introns. RNA binding motif prediction indicated multiple binding sites for hnRNP H and hnRNP F within these cis-regulatory elements. Using siRNA knockdown and cDNA expression, we found that both hnRNP H and F activate the HRAS cassette exon. Mutagenesis and targeted RNA immunoprecipitation implicate two downstream G-rich elements in this splicing activation. Analyses of ENCODE RNA-seq datasets confirmed hnRNP H regulation of HRAS splicing. Analyses of RNA-seq datasets across multiple cancers showed a negative correlation of hnRNP H gene expression with Myc hallmark enrichment, consistent with the effect of hnRNP H on HRAS splicing. Interestingly, hnRNP F expression showed a positive correlation with Myc hallmarks and thus was not consistent with the observed effects of hnRNP F. Loss of hnRNP H/F altered cell cycle progression and induced apoptosis in the PC3 prostate cancer cell line. Collectively, our results reveal new mechanisms for Myc-dependent regulation of splicing, and point to new possible therapeutic targets in prostate cancers. SIGNIFICANCE STATMENTMyc Transformation by the proto-oncogene c-Myc causes dysregulation of the pre-mRNA splicing reaction in cancer, but it is not known how mRNA isoform changes are directed by Myc. Here, we use bioinformatics to identify a splicing event in another proto-oncogene, HRAS, that is regulated by Myc across multiple tumor types. We identify new splicing regulators, hnRNPs H and F, that control this HRAS exon by binding to enhancer elements within its downstream intron. Additional pan-cancer bioinformatic analyses show hnRNP H expression to be anti- correlated with Myc hallmarks, consistent with the reduced splicing of the HRAS exon in Myc driven cancer. These findings uncover new mechanisms by which Myc can alter splicing in cancer cells and provide new molecular targets for potential therapeutics.

molecular biology↗

IRIS: Big data-informed discovery of cancer immunotherapy targets arising from pre-mRNA alternative splicing

Aberrant alternative splicing (AS) is widespread in cancer, leading to an extensive but largely unexploited repertoire of potential immunotherapy targets. Here we describe IRIS, a computational platform leveraging large-scale cancer and normal transcriptomics data to discover AS-derived tumor antigens for T-cell receptor (TCR) and chimeric antigen receptor T-cell (CAR-T) therapies. Applying IRIS to RNA-Seq data from 22 glioblastomas resected from patients, we identified candidate epitopes and validated their recognition by patient T cells, demonstrating IRISs utility for expanding targeted cancer immunotherapy.

bioinformatics↗

Profiling adaptive immune repertoires across multiple human tissues by RNA Sequencing

Assay-based approaches provide a detailed view of the adaptive immune system by profiling T and B cell receptor repertoires. However, these methods come at a high cost and lack the scale of standard RNA sequencing (RNA-seq). Here we report the development of ImReP, a novel computational method for rapid and accurate profiling of the adaptive immune repertoire from regular RNA-Seq data. We applied it to 8,555 samples across 544 individuals from 53 tissues from the Genotype-Tissue Expression (GTEx v6) project. ImReP is able to efficiently extract TCR- and BCR- derived reads from the RNA-Seq data and accurately assemble the complementarity determining regions 3 (CDR3s), the most variable regions of B- and T-cell receptors determining their antigen specificity. Using ImReP, we have created the systematic atlas of immunological sequences for B- and T-cell repertoires across a broad range of tissue types, most of which have not been studied for B and T cell receptor repertoires. We have also examined the compositional similarities of clonal populations between the GTEx tissues to track the flow of T- and B- clonotypes across immune-related tissues, including secondary lymphoid organs and organs encompassing mucosal, exocrine, and endocrine sites. The atlas of T- and B-cell receptor receptors, freely available at https://sergheimangul.wordpress.com/atlas-immune-repertoires/, is the largest collection of CDR3 sequences and tissue types. We anticipate this recourse will enhance future studies in areas such as immunology and advance development of therapies for human diseases. ImReP is freely available at https://sergheimangul.wordpress.com/imrep/.

immunology↗