作为技术发展功能的人类蛋白质组规模。

Q3 Biochemistry, Genetics and Molecular Biology
E V Sarygina, A S Kozlova, E A Ponomarenko, E V Ilgisonis
{"title":"作为技术发展功能的人类蛋白质组规模。","authors":"E V Sarygina, A S Kozlova, E A Ponomarenko, E V Ilgisonis","doi":"10.18097/PBMC20247005364","DOIUrl":null,"url":null,"abstract":"<p><p>Changes in information on the number of human proteoforms, post-translational modification (PTM) events, alternative splicing (AS), single-amino acid polymorphisms (SAP) associated with protein-coding genes in the neXtProt database have been retrospectively analyzed. In 2016, our group proposed three mathematical models for predicting the number of different proteins (proteoforms) in the human proteome. Eight years later, we compared the original data of the information resources and their contribution to the prediction results, correlating the differences with new approaches to experimental and bioinformatic analysis of protein modifications. The aim of this work is to update information on the status of records in the databases of identified proteoforms since 2016, as well as to identify trends in changes in the quantities of these records. According to various information models, modern experimental methods may identify from 5 to 125 million different proteoforms: the proteins formed due to alternative splicing, the implementation of single nucleotide polymorphisms at the proteomic level, and post-translational modifications in various combinations. This result reflects an increase in the size of the human proteome by 20 or more times over the past 8 years.</p>","PeriodicalId":8889,"journal":{"name":"Biomeditsinskaya khimiya","volume":"70 5","pages":"364-373"},"PeriodicalIF":0.0000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The human proteome size as a technological development function.\",\"authors\":\"E V Sarygina, A S Kozlova, E A Ponomarenko, E V Ilgisonis\",\"doi\":\"10.18097/PBMC20247005364\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Changes in information on the number of human proteoforms, post-translational modification (PTM) events, alternative splicing (AS), single-amino acid polymorphisms (SAP) associated with protein-coding genes in the neXtProt database have been retrospectively analyzed. In 2016, our group proposed three mathematical models for predicting the number of different proteins (proteoforms) in the human proteome. Eight years later, we compared the original data of the information resources and their contribution to the prediction results, correlating the differences with new approaches to experimental and bioinformatic analysis of protein modifications. The aim of this work is to update information on the status of records in the databases of identified proteoforms since 2016, as well as to identify trends in changes in the quantities of these records. According to various information models, modern experimental methods may identify from 5 to 125 million different proteoforms: the proteins formed due to alternative splicing, the implementation of single nucleotide polymorphisms at the proteomic level, and post-translational modifications in various combinations. This result reflects an increase in the size of the human proteome by 20 or more times over the past 8 years.</p>\",\"PeriodicalId\":8889,\"journal\":{\"name\":\"Biomeditsinskaya khimiya\",\"volume\":\"70 5\",\"pages\":\"364-373\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biomeditsinskaya khimiya\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18097/PBMC20247005364\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Biochemistry, Genetics and Molecular Biology\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomeditsinskaya khimiya","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18097/PBMC20247005364","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 0

摘要

我们对 neXtProt 数据库中与蛋白质编码基因相关的人类蛋白质形态数量、翻译后修饰(PTM)事件、替代剪接(AS)、单氨基酸多态性(SAP)等信息的变化进行了回顾性分析。2016 年,我们小组提出了三个数学模型,用于预测人类蛋白质组中不同蛋白质(蛋白形式)的数量。八年后,我们比较了信息资源的原始数据及其对预测结果的贡献,将差异与蛋白质修饰的实验和生物信息学分析的新方法联系起来。这项工作的目的是更新自2016年以来已鉴定蛋白质形式数据库中记录状况的信息,并确定这些记录数量的变化趋势。根据不同的信息模型,现代实验方法可以鉴定出 500 万到 1.25 亿种不同的蛋白质形式:由于另类剪接、蛋白质组水平上单核苷酸多态性的实施以及翻译后修饰的各种组合而形成的蛋白质。这一结果反映了人类蛋白质组的规模在过去 8 年中增加了 20 倍或更多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The human proteome size as a technological development function.

Changes in information on the number of human proteoforms, post-translational modification (PTM) events, alternative splicing (AS), single-amino acid polymorphisms (SAP) associated with protein-coding genes in the neXtProt database have been retrospectively analyzed. In 2016, our group proposed three mathematical models for predicting the number of different proteins (proteoforms) in the human proteome. Eight years later, we compared the original data of the information resources and their contribution to the prediction results, correlating the differences with new approaches to experimental and bioinformatic analysis of protein modifications. The aim of this work is to update information on the status of records in the databases of identified proteoforms since 2016, as well as to identify trends in changes in the quantities of these records. According to various information models, modern experimental methods may identify from 5 to 125 million different proteoforms: the proteins formed due to alternative splicing, the implementation of single nucleotide polymorphisms at the proteomic level, and post-translational modifications in various combinations. This result reflects an increase in the size of the human proteome by 20 or more times over the past 8 years.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Biomeditsinskaya khimiya
Biomeditsinskaya khimiya Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
1.30
自引率
0.00%
发文量
49
期刊介绍: The aim of the Russian-language journal "Biomeditsinskaya Khimiya" (Biomedical Chemistry) is to introduce the latest results obtained by scientists from Russia and other Republics of the Former Soviet Union. The Journal will cover all major areas of Biomedical chemistry, including neurochemistry, clinical chemistry, molecular biology of pathological processes, gene therapy, development of new drugs and their biochemical pharmacology, introduction and advertisement of new (biochemical) methods into experimental and clinical medicine etc. The Journal also publish review articles. All issues of journal usually contain invited reviews. Papers written in Russian contain abstract (in English).
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信