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Identification and validation of regulatory SNPs that modulate transcription factor chromatin binding and gene expression in prostate cancer

Prostate cancer (PCa) is the second most common solid tumor for cancer related deaths in American men. Genome wide association studies (GWAS) have identified single nucleotide polymorphisms (SNPs) associated with the increased risk of PCa. Because most of the susceptibility SNPs are located in nonco...

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Autores principales: Jin, Hong-Jian, Jung, Segun, DebRoy, Auditi R., Davuluri, Ramana V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5338917/
https://www.ncbi.nlm.nih.gov/pubmed/27409348
http://dx.doi.org/10.18632/oncotarget.10520
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author Jin, Hong-Jian
Jung, Segun
DebRoy, Auditi R.
Davuluri, Ramana V.
author_facet Jin, Hong-Jian
Jung, Segun
DebRoy, Auditi R.
Davuluri, Ramana V.
author_sort Jin, Hong-Jian
collection PubMed
description Prostate cancer (PCa) is the second most common solid tumor for cancer related deaths in American men. Genome wide association studies (GWAS) have identified single nucleotide polymorphisms (SNPs) associated with the increased risk of PCa. Because most of the susceptibility SNPs are located in noncoding regions, little is known about their functional mechanisms. We hypothesize that functional SNPs reside in cell type-specific regulatory elements that mediate the binding of critical transcription factors (TFs), which in turn result in changes in target gene expression. Using PCa-specific functional genomics data, here we identify 38 regulatory candidate SNPs and their target genes in PCa. Through risk analysis by incorporating gene expression and clinical data, we identify 6 target genes (ZG16B, ANKRD5, RERE, FAM96B, NAALADL2 and GTPBP10) as significant predictors of PCa biochemical recurrence. In addition, 5 SNPs (rs2659051, rs10936845, rs9925556, rs6057110 and rs2742624) are selected for experimental validation using Chromatin immunoprecipitation (ChIP), dual-luciferase reporter assay in LNCaP cells, showing allele-specific enhancer activity. Furthermore, we delete the rs2742624-containing region using CRISPR/Cas9 genome editing and observe the drastic downregulation of its target gene UPK3A. Taken together, our results illustrate that this new methodology can be applied to identify regulatory SNPs and their target genes that likely impact PCa risk. We suggest that similar studies can be performed to characterize regulatory variants in other diseases.
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spelling pubmed-53389172017-03-07 Identification and validation of regulatory SNPs that modulate transcription factor chromatin binding and gene expression in prostate cancer Jin, Hong-Jian Jung, Segun DebRoy, Auditi R. Davuluri, Ramana V. Oncotarget Research Paper Prostate cancer (PCa) is the second most common solid tumor for cancer related deaths in American men. Genome wide association studies (GWAS) have identified single nucleotide polymorphisms (SNPs) associated with the increased risk of PCa. Because most of the susceptibility SNPs are located in noncoding regions, little is known about their functional mechanisms. We hypothesize that functional SNPs reside in cell type-specific regulatory elements that mediate the binding of critical transcription factors (TFs), which in turn result in changes in target gene expression. Using PCa-specific functional genomics data, here we identify 38 regulatory candidate SNPs and their target genes in PCa. Through risk analysis by incorporating gene expression and clinical data, we identify 6 target genes (ZG16B, ANKRD5, RERE, FAM96B, NAALADL2 and GTPBP10) as significant predictors of PCa biochemical recurrence. In addition, 5 SNPs (rs2659051, rs10936845, rs9925556, rs6057110 and rs2742624) are selected for experimental validation using Chromatin immunoprecipitation (ChIP), dual-luciferase reporter assay in LNCaP cells, showing allele-specific enhancer activity. Furthermore, we delete the rs2742624-containing region using CRISPR/Cas9 genome editing and observe the drastic downregulation of its target gene UPK3A. Taken together, our results illustrate that this new methodology can be applied to identify regulatory SNPs and their target genes that likely impact PCa risk. We suggest that similar studies can be performed to characterize regulatory variants in other diseases. Impact Journals LLC 2016-07-09 /pmc/articles/PMC5338917/ /pubmed/27409348 http://dx.doi.org/10.18632/oncotarget.10520 Text en Copyright: © 2016 Jin et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Jin, Hong-Jian
Jung, Segun
DebRoy, Auditi R.
Davuluri, Ramana V.
Identification and validation of regulatory SNPs that modulate transcription factor chromatin binding and gene expression in prostate cancer
title Identification and validation of regulatory SNPs that modulate transcription factor chromatin binding and gene expression in prostate cancer
title_full Identification and validation of regulatory SNPs that modulate transcription factor chromatin binding and gene expression in prostate cancer
title_fullStr Identification and validation of regulatory SNPs that modulate transcription factor chromatin binding and gene expression in prostate cancer
title_full_unstemmed Identification and validation of regulatory SNPs that modulate transcription factor chromatin binding and gene expression in prostate cancer
title_short Identification and validation of regulatory SNPs that modulate transcription factor chromatin binding and gene expression in prostate cancer
title_sort identification and validation of regulatory snps that modulate transcription factor chromatin binding and gene expression in prostate cancer
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5338917/
https://www.ncbi.nlm.nih.gov/pubmed/27409348
http://dx.doi.org/10.18632/oncotarget.10520
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