Tian Yijun, Dong Dandan, Wang Zixian, Wu Lang, Park Jong Y, Wei Gong-Hong, Wang Liang
bioRxiv. 2023 May 10:2023.01.18.524405. doi: 10.1101/2023.01.18.524405.
Genome-wide association studies along with expression quantitative trait loci (eQTL) mapping have identified hundreds of single nucleotide polymorphisms (SNPs) and their target genes in prostate cancer (PCa), yet functional characterization of these risk loci remains challenging. To screen for potential regulatory SNPs, we designed a CRISPRi library containing 9133 guide RNAs (gRNAs) to target 2,166 candidate SNP sites implicated in PCa and identified 117 SNPs that could regulate 90 genes for PCa cell growth advantage. Among these, rs60464856 was covered by multiple gRNAs significantly depleted in the screening (FDR<0.05). Pooled SNP association analysis in the PRACTICAL and FinnGen cohorts showed significantly higher PCa risk for the rs60464856 G allele (pvalue=1.2E-16 and 3.2E-7). Subsequent eQTL analysis revealed that the G allele is associated with increased expression in multiple datasets. Further CRISPRi and xCas9 base editing proved the rs60464856 G allele leading to an elevated expression. Furthermore, SILAC-based proteomic analysis demonstrated allelic binding of cohesin subunits at the rs60464856 region, where HiC dataset showed consistent chromatin interactions in prostate cell lines. depletion inhibited PCa cell proliferation and tumor growth in xenograft mouse model. Gene set enrichment analysis suggested an association of expression with cell-cycle-related pathways. An increased expression of and activations of cell-cycle pathways were correlated with poor PCa survival in TCGA datasets. Together, our CRISPRi screening prioritized about one hundred regulatory SNPs essential for prostate cell proliferation. In combination with proteomics and functional studies, we characterized the mechanistic role of rs60464856 and in PCa progression.
全基因组关联研究以及表达定量性状位点(eQTL)定位已在前列腺癌(PCa)中鉴定出数百个单核苷酸多态性(SNP)及其靶基因,但这些风险位点的功能表征仍然具有挑战性。为了筛选潜在的调控SNP,我们设计了一个包含9133个引导RNA(gRNA)的CRISPRi文库,以靶向2166个与PCa相关的候选SNP位点,并鉴定出117个可调节90个基因以促进PCa细胞生长优势的SNP。其中,rs60464856被多个在筛选中显著缺失的gRNA覆盖(FDR<0.05)。在PRACTICAL和FinnGen队列中进行的汇总SNP关联分析显示,rs60464856 G等位基因的PCa风险显著更高(p值=1.2E-16和3.2E-7)。随后的eQTL分析表明,G等位基因与多个数据集中表达增加相关。进一步的CRISPRi和xCas9碱基编辑证明rs60464856 G等位基因导致表达升高。此外,基于SILAC的蛋白质组学分析证明了黏连蛋白亚基在rs60464856区域的等位基因结合,其中HiC数据集显示前列腺细胞系中存在一致的染色质相互作用。缺失抑制了异种移植小鼠模型中PCa细胞的增殖和肿瘤生长。基因集富集分析表明表达与细胞周期相关途径有关。在TCGA数据集中,表达增加和细胞周期途径的激活与PCa预后不良相关。总之,我们的CRISPRi筛选确定了约一百个对前列腺细胞增殖至关重要的调控SNP。结合蛋白质组学和功能研究,我们表征了rs60464856和在PCa进展中的机制作用。