Bioinformatic Analysis Reveals the Association of Human N-Terminal Acetyltransferase Complexes with Distinct Transcriptional and Post-Transcriptional Processes.

IF 2.1 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Biochemical Genetics Pub Date : 2024-06-12 DOI:10.1007/s10528-024-10860-z
C Koufaris, C Demetriadou, V Nicolaidou, A Kirmizis
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Abstract

N-terminal acetyltransferases (NAT) are the protein complexes that deposit the abundant N-terminal acetylation (Nt-Ac) on eukaryotic proteins, with seven human complexes currently identified. Despite the increasing recognition of their biological and clinical importance, NAT regulation remains elusive. In this study, we performed a bioinformatic investigation to identify transcriptional and post-transcriptional processes that could be involved in the regulation of human NAT complexes. First, co-expression analysis of independent transcriptomic datasets revealed divergent pathway associations for human NAT, which are potentially connected to their distinct cellular functions. One interesting connection uncovered was the coordinated regulation of the NatA and proteasomal genes in cancer and immune cells, confirmed by analysis of multiple datasets and in isolated primary T cells. Another distinctive association was of NAA40 (NatD) with DNA replication, in cancer and non-cancer settings. The link between NAA40 transcription and DNA replication is potentially mediated through E2F1, which we have experimentally shown to bind the promoter of this NAT. Second, the coupled examination of transcriptomic and proteomic datasets revealed a much greater intra-complex concordance of NAT subunits at the protein compared to the transcript level, indicating the predominance of post-transcriptional processes for achieving their coordination. In agreement with this concept, we also found that the effects of somatic copy number alterations affecting NAT genes are attenuated post-transcriptionally. In conclusion, this study provides novel insights into the regulation of human NAT complexes.

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生物信息学分析揭示了人类 N 端乙酰转移酶复合物与不同转录过程和转录后过程的关联。
N-末端乙酰转移酶(NAT)是在真核蛋白质上沉积大量 N-末端乙酰化(Nt-Ac)的蛋白质复合物,目前已发现七种人类复合物。尽管人们越来越认识到它们在生物学和临床上的重要性,但 NAT 的调控仍然难以捉摸。在本研究中,我们进行了一项生物信息学调查,以确定可能参与人类 NAT 复合物调控的转录和转录后过程。首先,对独立转录组数据集的共表达分析揭示了人类 NAT 的不同通路关联,这可能与其不同的细胞功能有关。发现的一个有趣联系是,在癌症和免疫细胞中,NatA基因和蛋白酶体基因协调调控,这一点在多个数据集分析和分离的原代T细胞中得到了证实。另一个独特的关联是NAA40(NatD)在癌症和非癌症环境中与DNA复制的关系。NAA40转录与DNA复制之间的联系可能是通过E2F1介导的,我们已通过实验证明E2F1与这种NAT的启动子结合。其次,通过对转录本组和蛋白质组数据集进行耦合检查,发现与转录本水平相比,蛋白质水平上的NAT亚基在复合物内部的一致性要高得多,这表明转录后过程在实现其协调方面占据主导地位。与这一概念相一致,我们还发现,影响 NAT 基因的体细胞拷贝数改变会在转录后减弱其影响。总之,本研究为人类 NAT 复合物的调控提供了新的见解。
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来源期刊
Biochemical Genetics
Biochemical Genetics 生物-生化与分子生物学
CiteScore
3.90
自引率
0.00%
发文量
133
审稿时长
4.8 months
期刊介绍: Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.
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