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分析人类乙酰化计量定义了对蛋白质调控的机制限制。

Analysis of human acetylation stoichiometry defines mechanistic constraints on protein regulation.

机构信息

Department of Proteomics, The Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200, Copenhagen, Denmark.

Institute of Biochemistry, Synthetic and Structural Biochemistry, University of Greifswald, Felix-Hausdorff-Str. 4, Greifswald, 17487, Germany.

出版信息

Nat Commun. 2019 Mar 5;10(1):1055. doi: 10.1038/s41467-019-09024-0.

Abstract

Lysine acetylation is a reversible posttranslational modification that occurs at thousands of sites on human proteins. However, the stoichiometry of acetylation remains poorly characterized, and is important for understanding acetylation-dependent mechanisms of protein regulation. Here we provide accurate, validated measurements of acetylation stoichiometry at 6829 sites on 2535 proteins in human cervical cancer (HeLa) cells. Most acetylation occurs at very low stoichiometry (median 0.02%), whereas high stoichiometry acetylation (>1%) occurs on nuclear proteins involved in gene transcription and on acetyltransferases. Analysis of acetylation copy numbers show that histones harbor the majority of acetylated lysine residues in human cells. Class I deacetylases target a greater proportion of high stoichiometry acetylation compared to SIRT1 and HDAC6. The acetyltransferases CBP and p300 catalyze a majority (65%) of high stoichiometry acetylation. This resource dataset provides valuable information for evaluating the impact of individual acetylation sites on protein function and for building accurate mechanistic models.

摘要

赖氨酸乙酰化是一种在人类蛋白质上千个位点上发生的可逆翻译后修饰。然而,乙酰化的化学计量学仍未得到很好的描述,这对于理解依赖于乙酰化的蛋白质调节机制非常重要。在这里,我们提供了在人类宫颈癌(HeLa)细胞中 2535 个蛋白质的 6829 个位点上的乙酰化化学计量学的准确、经过验证的测量结果。大多数乙酰化发生在非常低的化学计量学(中位数 0.02%),而核蛋白参与基因转录和乙酰转移酶上的高化学计量学乙酰化(>1%)。对乙酰化拷贝数的分析表明,组蛋白在人类细胞中拥有大多数乙酰化赖氨酸残基。与 SIRT1 和 HDAC6 相比,I 类去乙酰化酶针对更大比例的高化学计量学乙酰化。乙酰转移酶 CBP 和 p300 催化大多数(65%)高化学计量学乙酰化。这个资源数据集为评估单个乙酰化位点对蛋白质功能的影响以及构建准确的机制模型提供了有价值的信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9134/6401094/48195c9832dc/41467_2019_9024_Fig1_HTML.jpg

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