真核生物中决定尾锚膜蛋白分选的序列特征。

IF 3.6 3区 生物学 Q3 CELL BIOLOGY
Traffic Pub Date : 2021-09-01 Epub Date: 2021-08-03 DOI:10.1111/tra.12809
Michelle Y Fry, Shyam M Saladi, Alexandre Cunha, William M Clemons
{"title":"真核生物中决定尾锚膜蛋白分选的序列特征。","authors":"Michelle Y Fry, Shyam M Saladi, Alexandre Cunha, William M Clemons","doi":"10.1111/tra.12809","DOIUrl":null,"url":null,"abstract":"<p><p>The correct targeting and insertion of tail-anchored (TA) integral membrane proteins is critical for cellular homeostasis. TA proteins are defined by a hydrophobic transmembrane domain (TMD) at their C-terminus and are targeted to either the ER or mitochondria. Derived from experimental measurements of a few TA proteins, there has been little examination of the TMD features that determine localization. As a result, the localization of many TA proteins are misclassified by the simple heuristic of overall hydrophobicity. Because ER-directed TMDs favor arrangement of hydrophobic residues to one side, we sought to explore the role of geometric hydrophobic properties. By curating TA proteins with experimentally determined localizations and assessing hypotheses for recognition, we bioinformatically and experimentally verify that a hydrophobic face is the most accurate singular metric for separating ER and mitochondria-destined yeast TA proteins. A metric focusing on an 11 residue segment of the TMD performs well when classifying human TA proteins. The most inclusive predictor uses both hydrophobicity and C-terminal charge in tandem. This work provides context for previous observations and opens the door for more detailed mechanistic experiments to determine the molecular factors driving this recognition.</p>","PeriodicalId":23207,"journal":{"name":"Traffic","volume":"22 9","pages":"306-318"},"PeriodicalIF":3.6000,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8380732/pdf/nihms-1726178.pdf","citationCount":"0","resultStr":"{\"title\":\"Sequence-based features that are determinant for tail-anchored membrane protein sorting in eukaryotes.\",\"authors\":\"Michelle Y Fry, Shyam M Saladi, Alexandre Cunha, William M Clemons\",\"doi\":\"10.1111/tra.12809\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The correct targeting and insertion of tail-anchored (TA) integral membrane proteins is critical for cellular homeostasis. TA proteins are defined by a hydrophobic transmembrane domain (TMD) at their C-terminus and are targeted to either the ER or mitochondria. Derived from experimental measurements of a few TA proteins, there has been little examination of the TMD features that determine localization. As a result, the localization of many TA proteins are misclassified by the simple heuristic of overall hydrophobicity. Because ER-directed TMDs favor arrangement of hydrophobic residues to one side, we sought to explore the role of geometric hydrophobic properties. By curating TA proteins with experimentally determined localizations and assessing hypotheses for recognition, we bioinformatically and experimentally verify that a hydrophobic face is the most accurate singular metric for separating ER and mitochondria-destined yeast TA proteins. A metric focusing on an 11 residue segment of the TMD performs well when classifying human TA proteins. The most inclusive predictor uses both hydrophobicity and C-terminal charge in tandem. This work provides context for previous observations and opens the door for more detailed mechanistic experiments to determine the molecular factors driving this recognition.</p>\",\"PeriodicalId\":23207,\"journal\":{\"name\":\"Traffic\",\"volume\":\"22 9\",\"pages\":\"306-318\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2021-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8380732/pdf/nihms-1726178.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Traffic\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1111/tra.12809\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2021/8/3 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"CELL BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Traffic","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1111/tra.12809","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/8/3 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

尾锚整合膜蛋白(TA)的正确靶向和插入对细胞平衡至关重要。TA蛋白的C端有一个疏水跨膜结构域(TMD),可靶向ER或线粒体。根据对少数 TA 蛋白的实验测量,对决定定位的 TMD 特征的研究很少。因此,许多 TA 蛋白的定位被简单的整体疏水性启发式错误分类。由于ER定向的TMD有利于疏水残基向一侧排列,我们试图探索几何疏水特性的作用。通过整理经实验确定定位的酵母TA蛋白并评估识别假设,我们从生物信息学和实验上验证了疏水性面是区分ER和线粒体酵母TA蛋白的最准确的单一指标。以 TMD 的 11 个残基段为重点的指标在对人类 TA 蛋白质进行分类时表现良好。最全面的预测指标同时使用疏水性和 C 端电荷。这项工作为之前的观察提供了背景,并为更详细的机理实验打开了大门,以确定驱动这种识别的分子因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sequence-based features that are determinant for tail-anchored membrane protein sorting in eukaryotes.

The correct targeting and insertion of tail-anchored (TA) integral membrane proteins is critical for cellular homeostasis. TA proteins are defined by a hydrophobic transmembrane domain (TMD) at their C-terminus and are targeted to either the ER or mitochondria. Derived from experimental measurements of a few TA proteins, there has been little examination of the TMD features that determine localization. As a result, the localization of many TA proteins are misclassified by the simple heuristic of overall hydrophobicity. Because ER-directed TMDs favor arrangement of hydrophobic residues to one side, we sought to explore the role of geometric hydrophobic properties. By curating TA proteins with experimentally determined localizations and assessing hypotheses for recognition, we bioinformatically and experimentally verify that a hydrophobic face is the most accurate singular metric for separating ER and mitochondria-destined yeast TA proteins. A metric focusing on an 11 residue segment of the TMD performs well when classifying human TA proteins. The most inclusive predictor uses both hydrophobicity and C-terminal charge in tandem. This work provides context for previous observations and opens the door for more detailed mechanistic experiments to determine the molecular factors driving this recognition.

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
Traffic
Traffic 生物-细胞生物学
CiteScore
8.10
自引率
2.20%
发文量
50
审稿时长
2 months
期刊介绍: Traffic encourages and facilitates the publication of papers in any field relating to intracellular transport in health and disease. Traffic papers span disciplines such as developmental biology, neuroscience, innate and adaptive immunity, epithelial cell biology, intracellular pathogens and host-pathogen interactions, among others using any eukaryotic model system. Areas of particular interest include protein, nucleic acid and lipid traffic, molecular motors, intracellular pathogens, intracellular proteolysis, nuclear import and export, cytokinesis and the cell cycle, the interface between signaling and trafficking or localization, protein translocation, the cell biology of adaptive an innate immunity, organelle biogenesis, metabolism, cell polarity and organization, and organelle movement. All aspects of the structural, molecular biology, biochemistry, genetics, morphology, intracellular signaling and relationship to hereditary or infectious diseases will be covered. Manuscripts must provide a clear conceptual or mechanistic advance. The editors will reject papers that require major changes, including addition of significant experimental data or other significant revision. Traffic will consider manuscripts of any length, but encourages authors to limit their papers to 16 typeset pages or less.
×
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