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Landscape of enhancer disruption and functional screen in melanoma [4C-seq]

ABSTRACT: The high mutation rate across the whole melanoma genome provides a major challenge in stratifying true driver events from the background mutations. Many non-coding recurrent events, such as those occurred in enhancer, can shape tumor evolution, emphasizing the importance in systematically deciphering enhancer disruptions in melanoma. Here, we leveraged 297 melanoma whole-genome sequencing (WGS) samples to prioritize highly recurrent regions (HRRs). By performing a genome-scale CRISPR interference (CRISPRi) screen on HRR-associated enhancers in melanoma cells, we identified 66 significant hits which could have tumor-suppressive roles. These functional enhancers show unique mutational patterns independent of classical significantly mutated genes in melanoma. Target gene analysis for the essential enhancers revealed many known and hidden mechanisms underlying melanoma development. We demonstrated that a super enhancer element could modulate melanoma cell proliferation by targeting MEF2A and another distal enhancer was able to sustain PTEN tumor-suppressive potential via long-range interaction. Our study established a catalogue of crucial enhancers and their target genes in melanoma development and progression, which illuminates the identification of novel mechanism of dysregulation for melanoma driver genes and new therapeutic targeting strategy.

ORGANISM(S): Homo sapiens

PROVIDER: GSE210421 | GEO | 2023/10/11

REPOSITORIES: GEO

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Project description:Although technological advances now allow increased tumor profiling, a detailed understanding of the mechanisms leading to the development of different cancers remains elusive. Our approach towards understanding the molecular events that lead to cancer is to characterize changes in transcriptional regulatory networks between normal and tumor tissue. Because enhancer activity is thought to be critical in regulating cell fate decisions, we have focused our studies on distal regulatory elements and transcription factors that bind to these elements. Using DNA methylation data, we identified more than 25,000 enhancers that are differentially activated in breast, prostate, and kidney tumor tissues, as compared to normal tissues. We then developed an analytical approach called TENET (Tracing Enhancer Networks using Epigenetic Traits) that correlates DNA methylation levels at enhancers with gene expression to identify more than 800,000 genome-wide links from enhancers to genes and from genes to enhancers. We found more than 1,200 transcription factors to be involved in these tumor-specific enhancer networks. We further characterized several transcription factors linked to a large number of enhancers in each tumor type, including GATA3 in non-basal breast tumors, HOXC6 and DLX1 in prostate tumors, and ZNF395 in kidney tumors. We showed that HOXC6 and DLX1 are associated with different clusters of prostate tumor-specific enhancers and confer distinct transcriptomic changes upon knockdown in C42B prostate cancer cells. We also discovered de novo motifs enriched in enhancers linked to ZNF395 in kidney tumors. Our studies characterized tumor-specific enhancers and revealed key transcription factors involved in enhancer networks for specific tumor types and subgroups. Our findings, which include a large set of identified enhancers and transcription factors linked to those enhancers in breast, prostate, and kidney cancers, will facilitate understanding of enhancer networks and mechanisms leading to the development of these cancers. Examination of FAIRE and ChIP assays in prostate and breast epithelial cells. RNA-seq assays in C42B, prostate cancer cell line after knocking down of TFs (HOXC6, DLX1).

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Landscape of enhancer disruption and functional screen in melanoma [4C-seq]

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