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Focus on your locus with a massively parallel reporter assay.

机构信息

Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.

UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.

出版信息

J Neurodev Disord. 2022 Sep 9;14(1):50. doi: 10.1186/s11689-022-09461-x.

Abstract

A growing number of variants associated with risk for neurodevelopmental disorders have been identified by genome-wide association and whole genome sequencing studies. As common risk variants often fall within large haplotype blocks covering long stretches of the noncoding genome, the causal variants within an associated locus are often unknown. Similarly, the effect of rare noncoding risk variants identified by whole genome sequencing on molecular traits is seldom known without functional assays. A massively parallel reporter assay (MPRA) is an assay that can functionally validate thousands of regulatory elements simultaneously using high-throughput sequencing and barcode technology. MPRA has been adapted to various experimental designs that measure gene regulatory effects of genetic variants within cis- and trans-regulatory elements as well as posttranscriptional processes. This review discusses different MPRA designs that have been or could be used in the future to experimentally validate genetic variants associated with neurodevelopmental disorders. Though MPRA has limitations such as it does not model genomic context, this assay can help narrow down the underlying genetic causes of neurodevelopmental disorders by screening thousands of sequences in one experiment. We conclude by describing future directions of this technique such as applications of MPRA for gene-by-environment interactions and pharmacogenetics.

摘要

越来越多与神经发育障碍风险相关的变异已通过全基因组关联和全基因组测序研究确定。由于常见的风险变异通常位于覆盖非编码基因组大片段的大单倍型块内,相关基因座内的因果变异通常未知。同样,全基因组测序确定的罕见非编码风险变异对分子特征的影响,如果没有功能测定也很少知道。大规模平行报告基因分析(MPRA)是一种可以使用高通量测序和条形码技术同时对数千个调控元件进行功能验证的分析方法。MPRA 已经适应了各种实验设计,可以测量顺式和反式调控元件以及转录后过程中遗传变异的基因调控效应。本文综述了不同的 MPRA 设计,这些设计已经或将来可以用于实验验证与神经发育障碍相关的遗传变异。尽管 MPRA 存在一些局限性,例如它不能模拟基因组背景,但该分析方法可以通过在一个实验中筛选数千个序列来帮助缩小神经发育障碍的潜在遗传原因。最后,我们描述了该技术的未来方向,例如将 MPRA 应用于基因-环境相互作用和药物遗传学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50d6/9463819/f60ed6b1ddf8/11689_2022_9461_Fig1_HTML.jpg

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