A genome-wide functional study of 3’UTR mutations in advanced prostate cancer
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA824026 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR18656512_1.fastq.gz | Fastqsanger.gz | |||
| SRR18656512_2.fastq.gz | Fastqsanger.gz | |||
| SRR18656742_1.fastq.gz | Fastqsanger.gz | |||
| SRR18656742_2.fastq.gz | Fastqsanger.gz | |||
| SRR18656743_1.fastq.gz | Fastqsanger.gz |
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Project description:Metastatic, castration-resistant prostate cancer (mCRPC) is an advanced form of prostate cancer with a high mortality rate due to a current lack of treatment options. While much is already known about how mutations in protein-coding sequences across the genome affect prostate cancer, somatic mutations occurring in the 3’ untranslated regions (3’UTRs) of genes are largely unstudied. The 3’UTR is a genomic region that controls post-transcriptional gene expression through its recruitment of trans-acting factors such as RNA-binding proteins (RBPs) and microRNAs (miRNAs), which themselves are known to be oncogenes and tumor suppressors in many cases. To better understand the role of 3’UTR mutations across prostate cancer, we have created a database of 3’UTR somatic mutations in 185 patients with mCRPC, discovering 14,497 single-nucleotide mutations throughout the 3’UTRome. In order to functionally assay these variants, we have developed a novel pair of massively parallel reporter assays (MPRA) able to determine the effect of thousands of patient somatic mutations on post-transcriptional gene expression. In this two-pronged approach, we are able to measure whether each of 6,892 mutations found in recurrently mutated 3’UTRs affect mRNA stability, steady-state transcript level, and translation efficiency. This deep functional assessment of thousands of 3’UTR mutations allows us to uncover patterns in mutation functionality, including their association with RNA motifs and sequence conservation. Investigation into how the resultant gene expression changes from 3’UTR mutations affect prostate cancer pathogenesis, such as cancer growth or response to treatment, is also underway. This work represents an unprecedented view of the extent to which disease-relevant 3’UTR mutations affect mRNA stability, translation efficiency, and cancer phenotypes, expanding the boundaries of functional cancer genomics and potentially uncovering novel therapeutic targets in previously unexplored regulatory regions.
2023-06-30 | GSE200302 | GEO
Project description:Metastatic, castration-resistant prostate cancer (mCRPC) is an advanced form of prostate cancer with a high mortality rate due to a current lack of treatment options. While much is already known about how mutations in protein-coding sequences across the genome affect prostate cancer, somatic mutations occurring in the 3’ untranslated regions (3’UTRs) of genes are largely unstudied. The 3’UTR is a genomic region that controls post-transcriptional gene expression through its recruitment of trans-acting factors such as RNA-binding proteins (RBPs) and microRNAs (miRNAs), which themselves are known to be oncogenes and tumor suppressors in many cases. To better understand the role of 3’UTR mutations across prostate cancer, we have created a database of 3’UTR somatic mutations in 185 patients with mCRPC, discovering 14,497 single-nucleotide mutations throughout the 3’UTRome. In order to functionally assay these variants, we have developed a novel pair of massively parallel reporter assays (MPRA) able to determine the effect of thousands of patient somatic mutations on post-transcriptional gene expression. In this two-pronged approach, we are able to measure whether each of 6,892 mutations found in recurrently mutated 3’UTRs affect mRNA stability, steady-state transcript level, and translation efficiency. This deep functional assessment of thousands of 3’UTR mutations allows us to uncover patterns in mutation functionality, including their association with RNA motifs and sequence conservation. Investigation into how the resultant gene expression changes from 3’UTR mutations affect prostate cancer pathogenesis, such as cancer growth or response to treatment, is also underway. This work represents an unprecedented view of the extent to which disease-relevant 3’UTR mutations affect mRNA stability, translation efficiency, and cancer phenotypes, expanding the boundaries of functional cancer genomics and potentially uncovering novel therapeutic targets in previously unexplored regulatory regions.
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Project description:Metastatic, castration-resistant prostate cancer (mCRPC) is an advanced form of prostate cancer with a high mortality rate due to a current lack of treatment options. While much is already known about how mutations in protein-coding sequences across the genome affect prostate cancer, somatic mutations occurring in the 3’ untranslated regions (3’UTRs) of genes are largely unstudied. The 3’UTR is a genomic region that controls post-transcriptional gene expression through its recruitment of trans-acting factors such as RNA-binding proteins (RBPs) and microRNAs (miRNAs), which themselves are known to be oncogenes and tumor suppressors in many cases. To better understand the role of 3’UTR mutations across prostate cancer, we have created a database of 3’UTR somatic mutations in 185 patients with mCRPC, discovering 14,497 single-nucleotide mutations throughout the 3’UTRome. In order to functionally assay these variants, we have developed a novel pair of massively parallel reporter assays (MPRA) able to determine the effect of thousands of patient somatic mutations on post-transcriptional gene expression. In this two-pronged approach, we are able to measure whether each of 6,892 mutations found in recurrently mutated 3’UTRs affect mRNA stability, steady-state transcript level, and translation efficiency. This deep functional assessment of thousands of 3’UTR mutations allows us to uncover patterns in mutation functionality, including their association with RNA motifs and sequence conservation. Investigation into how the resultant gene expression changes from 3’UTR mutations affect prostate cancer pathogenesis, such as cancer growth or response to treatment, is also underway. This work represents an unprecedented view of the extent to which disease-relevant 3’UTR mutations affect mRNA stability, translation efficiency, and cancer phenotypes, expanding the boundaries of functional cancer genomics and potentially uncovering novel therapeutic targets in previously unexplored regulatory regions.
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Project description:A genome-wide functional study of 3’UTR mutations in advanced prostate cancer [Polysome-Seq]
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Project description:A genome-wide functional study of 3’UTR mutations in advanced prostate cancer [DNA-seq]
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Project description:A genome-wide functional study of 3’UTR mutations in advanced prostate cancer [RNA-seq]
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Project description:This SuperSeries is composed of the SubSeries listed below.
2023-06-30 | GSE200304 | GEO
Project description:Prostate cancer is characterized as being histologically and molecularly heterogeneous. Additionally, epigenetic changes play an important role in regulating the progression of prostate cancer. However, epigenetic intraindividual heterogeneity is largely unknown in advanced prostate cancer. Hence, the epigenetic profiles of advanced prostate cancer, including autopsy cases, were investigated.
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Project description:The functional consequences of cancer patient-derived genetic variants within the 5’ untranslated regions (UTRs) on a genome-wide scale and their effects on mRNA transcript and translation levels are poorly understood. To systematically interrogate the mutational landscape of 5’ UTRs across cancer patients with localized to metastatic disease, we analyzed the genomes of 226 prostate cancer patients and observed thousands of mutations, many of which impact known cis-regulatory elements. We developed a high-throughput multi-layer massively parallel sequencing-based method called PLUMAGE (Pooled full-length UTR Multiplex Assay on Gene Expression) to simultaneously quantify the effects of 545 5’ UTR somatic mutations across recurrently mutated or cancer-related genes from our patient cohort. Our method enabled unprecedented insights into how 5’ UTR mutations can control multiple levels of gene expression simultaneously. In particular, we identified 190 mutations that significantly altered 5’ UTR function, either by creating new DNA binding elements, disrupting known translation regulatory motifs, or simultaneously impacting both transcript levels and mRNA translation. Furthermore, we also determined that 5’ UTR mutations to the MAP kinase signaling pathway are significantly associated with early metastasis. This study is the first to comprehensively interrogate the functional 5’ UTR mutational landscape of a human cancer revealing the importance of untranslated regions in regulating multiple levels of oncogenic gene expression and provides a high-throughput functional genomics solution applicable to many genetically driven diseases.
2021-05-17 | GSE149487 | GEO
Project description:The functional consequences of genetic variants within 5’ untranslated regions (UTRs) on a genome-wide scale are poorly understood in disease. We developed a high-throughput multi-layer massively parallel sequencing-based method called PLUMAGE (Pooled full-length UTR Multiplex Assay on Gene Expression) to quantify the molecular consequences of somatic 5’ UTR mutations found across 229 prostate cancer patients with localized to metastatic disease. We show that 5’ UTR mutations can control both transcript levels and mRNA translation rates through the creation of new DNA binding elements or RNA-based cis-regulatory motifs. We also discover that single point mutations can simultaneously impact both transcript levels and mRNA translation of the same gene. Using gene editing technology, we validate that a single point mutation in the oncogenic CKS2 5’ UTR can increase mRNA specific translation. Turning to a molecular pathway critical for cancer, we provide evidence that functional 5’ UTR mutations in the MAP kinase signaling pathway can upregulate pathway-specific gene expression and are associated with distinct clinical outcomes. Our study reveals the diverse mechanisms by which the mutational landscape of 5’ UTRs can co-opt multiple levels of gene expression and demonstrates that single nucleotide alternations within leader sequences are functional in cancer.
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