B 细胞受体信号通路的遗传调控:使用混合模型进行表达量性状位点分析的启示

IF 2.6 4区 生物学 Q2 BIOLOGY
Hojin Bae, Hyowon Jeon, Chaeyoung Lee
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引用次数: 0

摘要

B细胞受体(BCR)信号通路通过MAPK、NF-kB和PI3K-Akt等多种途径调节非免疫细胞反应。本研究旨在鉴定表达量性状位点(eQTL)及其对BCR信号通路基因的调控功能。研究采用混合模型,利用 GEUVADIS 数据集中 376 名欧洲人淋巴母细胞的 RNA 表达水平分析 eQTL。通过连锁不平衡分析,共发现 266 个 SNPs(包括 115 个顺式作用 SNPs)与 13 个基因的转录相关(P < 5 × 10-8),并揭示了 5 个基因的 19 个独立信号。通过与 DNase 敏感位点、转录因子结合位点、组蛋白修饰、启动子/增强子、CpG 岛和 ChIA-PET 进行功能分析,发现了针对 SYK、VAV2 和 PLCG2 的调控变异。值得注意的是,rs2562397 被证实为 SYK 启动子变异,rs694505、rs636667 和 rs4889409 被证实为 VAV2 和 PLCG2 的增强子变异。基因表达的等位基因差异也通过 ENCODE ChIP-seq 和 Sei 神经网络预测得到了证实。这些基因等位基因的持续差异表达可能会影响适应性免疫系统、血管发育和/或相关疾病,而这些疾病以前曾与这些基因的其他变体有关。对 BCR 信号通路进行全面的基因结构研究,并通过实验证明相关机制,将大大有助于了解相关疾病发展的潜在机制,并实施精准医疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetic regulation of B cell receptor signaling pathway: Insights from expression quantitative trait locus analysis using a mixed model

The B cell receptor (BCR) signaling pathway regulates non-immune cellular response through various pathways like MAPK, NF-kB, and PI3K-Akt. This study aimed to identify expression quantitative trait loci (eQTL) and their regulatory functions on BCR signaling pathway genes. A mixed model was employed to analyze eQTL using RNA expression levels in lymphoblastoid from 376 Europeans in the GEUVADIS dataset. In total, 266 SNPs, including 115 cis-acting SNPs, were found for association with transcription of 13 genes (P < 5 × 10−8), revealing 19 independent signals for five genes through linkage disequilibrium analysis. Functional analysis, aligning them with DNase sensitive sites, transcription factor binding sites, histone modification, promoters/enhancers, CpG islands, and ChIA-PET, identified regulatory variants targeting SYK, VAV2, and PLCG2. Notably, rs2562397 was validated as a SYK promoter variant, and rs694505, rs636667, and rs4889409 were confirmed as enhancer variants for VAV2 and PLCG2. Their allelic differences in gene expression were also confirmed using ENCODE ChIP-seq and Sei neural network prediction. Persistent differential expression of these genes by alleles might impact the adaptive immune system, vascular development, and/or relevant diseases that have been previously associated with other variants of the genes. Comprehensive genetic architecture studies of the BCR signaling pathway, along with experiments demonstrating related mechanisms, will greatly contribute to understanding the underlying mechanisms of relevant disease development and implementing precision medicine.

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来源期刊
Computational Biology and Chemistry
Computational Biology and Chemistry 生物-计算机:跨学科应用
CiteScore
6.10
自引率
3.20%
发文量
142
审稿时长
24 days
期刊介绍: Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered. Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered. Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.
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