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解码非编码变异:研究其在基因调控和人类疾病中作用的最新方法。

Decoding Non-coding Variants: Recent Approaches to Studying Their Role in Gene Regulation and Human Diseases.

机构信息

Department of Biology, University of Puerto Rico-Río Piedras, 00931 San Juan, Puerto Rico.

出版信息

Front Biosci (Schol Ed). 2024 Mar 1;16(1):4. doi: 10.31083/j.fbs1601004.

Abstract

Genome-wide association studies (GWAS) have mapped over 90% of disease- and quantitative-trait-associated variants within the non-coding genome. Non-coding regulatory DNA (e.g., promoters and enhancers) and RNA (e.g., 5' and 3' UTRs and splice sites) are essential in regulating temporal and tissue-specific gene expressions. Non-coding variants can potentially impact the phenotype of an organism by altering the molecular recognition of the -regulatory elements, leading to gene dysregulation. However, determining causality between non-coding variants, gene regulation, and human disease has remained challenging. Experimental and computational methods have been developed to understand the molecular mechanism involved in non-coding variant interference at the transcriptional and post-transcriptional levels. This review discusses recent approaches to evaluating disease-associated single-nucleotide variants (SNVs) and determines their impact on transcription factor (TF) binding, gene expression, chromatin conformation, post-transcriptional regulation, and translation.

摘要

全基因组关联研究 (GWAS) 已经在非编码基因组中定位了超过 90%的疾病和数量性状相关变异。非编码调控 DNA(如启动子和增强子)和 RNA(如 5' 和 3' UTRs 和剪接位点)在调节时空和组织特异性基因表达方面至关重要。非编码变异可以通过改变 - 调控元件的分子识别,导致基因失调,从而潜在地影响生物体的表型。然而,确定非编码变异、基因调控和人类疾病之间的因果关系一直具有挑战性。已经开发了实验和计算方法来了解转录和转录后水平中非编码变异干扰的分子机制。本综述讨论了评估与疾病相关的单核苷酸变异 (SNV) 的最新方法,并确定了它们对转录因子 (TF) 结合、基因表达、染色质构象、转录后调控和翻译的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8a8/11044903/87c8f0f412a9/nihms-1987096-f0001.jpg

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