Bioinformatic reanalysis of public proteomics data reveals that nuclear proteins are recurrent in cancer secretomes.

IF 3.6 3区 生物学 Q3 CELL BIOLOGY
Traffic Pub Date : 2022-02-01 Epub Date: 2021-12-02 DOI:10.1111/tra.12827
Juliana A De Morais, André Zelanis
{"title":"Bioinformatic reanalysis of public proteomics data reveals that nuclear proteins are recurrent in cancer secretomes.","authors":"Juliana A De Morais,&nbsp;André Zelanis","doi":"10.1111/tra.12827","DOIUrl":null,"url":null,"abstract":"<p><p>Proteins secreted by tumoral cells (cancer secretomes) have been continuously associated with cancer development and progression processes. In this context, secreted proteins contribute to the signaling mechanisms related to tumor growth and spreading and studies on tumor secretomes provide valuable clues on putative tumor biomarkers. Although the in vitro identification of intracellular proteins in cancer secretome studies has usually been associated with contamination derived from cell lysis or fetal bovine serum, accumulated evidence reports on intracellular proteins with moonlighting functions in the extracellular environment. In this study, we performed a systematic reanalysis of public proteomics data regarding different cancer secretomes, aiming to identify intracellular proteins potentially secreted by tumor cells via unconventional secretion pathways. We found a similar repertoire of unconventionally secreted proteins, including the recurrent identification of nuclear proteins secreted by different cancer cells. In addition, in some cancer types, immunohistochemical data were in line with proteomics identifications and suggested that nuclear proteins might relocate from the nucleus to the cytoplasm. Both the presence of nuclear proteins and the likely unconventional secretion of such proteins may comprise biological signatures of malignant transformation in distinct cancer types and may be targeted for further analysis aiming at the prognostic/therapeutic value of such features.</p>","PeriodicalId":23207,"journal":{"name":"Traffic","volume":null,"pages":null},"PeriodicalIF":3.6000,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Traffic","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1111/tra.12827","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/12/2 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
引用次数: 3

Abstract

Proteins secreted by tumoral cells (cancer secretomes) have been continuously associated with cancer development and progression processes. In this context, secreted proteins contribute to the signaling mechanisms related to tumor growth and spreading and studies on tumor secretomes provide valuable clues on putative tumor biomarkers. Although the in vitro identification of intracellular proteins in cancer secretome studies has usually been associated with contamination derived from cell lysis or fetal bovine serum, accumulated evidence reports on intracellular proteins with moonlighting functions in the extracellular environment. In this study, we performed a systematic reanalysis of public proteomics data regarding different cancer secretomes, aiming to identify intracellular proteins potentially secreted by tumor cells via unconventional secretion pathways. We found a similar repertoire of unconventionally secreted proteins, including the recurrent identification of nuclear proteins secreted by different cancer cells. In addition, in some cancer types, immunohistochemical data were in line with proteomics identifications and suggested that nuclear proteins might relocate from the nucleus to the cytoplasm. Both the presence of nuclear proteins and the likely unconventional secretion of such proteins may comprise biological signatures of malignant transformation in distinct cancer types and may be targeted for further analysis aiming at the prognostic/therapeutic value of such features.

对公开蛋白质组学数据的生物信息学再分析表明,核蛋白在癌症分泌组中复发。
肿瘤细胞分泌的蛋白质(肿瘤分泌组)一直与癌症的发生和进展过程有关。在这种情况下,分泌蛋白参与了与肿瘤生长和扩散相关的信号机制,肿瘤分泌组的研究为推定的肿瘤生物标志物提供了有价值的线索。尽管在癌症分泌组研究中,细胞内蛋白的体外鉴定通常与细胞裂解或胎牛血清的污染有关,但积累的证据表明,细胞内蛋白在细胞外环境中具有兼职功能。在这项研究中,我们对不同癌症分泌组的公开蛋白质组学数据进行了系统的再分析,旨在鉴定肿瘤细胞可能通过非常规分泌途径分泌的细胞内蛋白质。我们发现了类似的非常规分泌蛋白库,包括不同癌细胞分泌的核蛋白的反复鉴定。此外,在某些类型的癌症中,免疫组织化学数据与蛋白质组学鉴定一致,表明核蛋白可能从细胞核迁移到细胞质。核蛋白的存在和这种蛋白可能的非常规分泌都可能包含不同癌症类型中恶性转化的生物学特征,并且可能成为进一步分析这些特征的预后/治疗价值的目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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