ZMAT2 in Humans and Other Primates: A Highly Conserved and Understudied Gene.

IF 1.7 4区 生物学 Q4 EVOLUTIONARY BIOLOGY Evolutionary Bioinformatics Pub Date : 2020-09-02 eCollection Date: 2020-01-01 DOI:10.1177/1176934320941500
Kabita Baral, Peter Rotwein
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引用次数: 3

Abstract

Recent advances in genetics present unique opportunities for enhancing our understanding of human physiology and disease predisposition through detailed analysis of gene structure, expression, and population variation via examination of data in publicly accessible genome and gene expression repositories. Yet, the vast majority of human genes remain understudied. Here, we show the scope of these genomic and genetic resources by evaluating ZMAT2, a member of a 5-gene family that through May 2020 had been the focus of only 4 peer-reviewed scientific publications. Using analysis of information extracted from public databases, we show that human ZMAT2 is a 6-exon gene and find that it exhibits minimal genetic variation in human populations and in disease states, including cancer. We further demonstrate that the gene and its encoded protein are highly conserved among nonhuman primates and define a cohort of ZMAT2 pseudogenes in the marmoset genome. Collectively, our investigations illustrate how complementary use of genomic, gene expression, and population genetic resources can lead to new insights about human and mammalian biology and evolution, and when coupled with data supporting key roles for ZMAT2 in keratinocyte differentiation and pre-RNA splicing argue that this gene is worthy of further study.

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ZMAT2在人类和其他灵长类动物:一个高度保守和研究不足的基因。
遗传学的最新进展提供了独特的机会,通过检查可公开访问的基因组和基因表达库中的数据,对基因结构、表达和群体变异进行详细分析,从而增强我们对人类生理学和疾病易感性的理解。然而,绝大多数人类基因仍未得到充分研究。在这里,我们通过评估ZMAT2来展示这些基因组和遗传资源的范围,ZMAT2是一个5基因家族的成员,到2020年5月,只有4篇同行评议的科学出版物关注了ZMAT2。通过分析从公共数据库中提取的信息,我们发现人类ZMAT2是一个6外显子基因,并发现它在人类群体和疾病状态(包括癌症)中表现出最小的遗传变异。我们进一步证明了该基因及其编码蛋白在非人灵长类动物中高度保守,并在狨猴基因组中定义了一组ZMAT2假基因。总的来说,我们的研究说明了基因组,基因表达和群体遗传资源的互补使用如何导致对人类和哺乳动物生物学和进化的新见解,并且当结合支持ZMAT2在角化细胞分化和前rna剪接中的关键作用的数据时,认为该基因值得进一步研究。
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来源期刊
Evolutionary Bioinformatics
Evolutionary Bioinformatics 生物-进化生物学
CiteScore
4.20
自引率
0.00%
发文量
25
审稿时长
12 months
期刊介绍: Evolutionary Bioinformatics is an open access, peer reviewed international journal focusing on evolutionary bioinformatics. The journal aims to support understanding of organismal form and function through use of molecular, genetic, genomic and proteomic data by giving due consideration to its evolutionary context.
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