Proteomics最新文献

Obituary: In Memory of Michael (Mike) J. Dunn (1946–2024) 讣告：纪念迈克尔（迈克）J.邓恩（1946-2024）

IF 3.4 4区生物学

Proteomics Pub Date : 2025-04-24 DOI: 10.1002/pmic.202500077

引用次数: 0

Contents: Proteomics 8'25 内容：蛋白质组学8'25

IF 3.4 4区生物学

Proteomics Pub Date : 2025-04-24 DOI: 10.1002/pmic.202570029

引用次数: 0

Editorial Board: Proteomics 8'25 编辑委员会：蛋白质组学8'25

IF 3.4 4区生物学

Proteomics Pub Date : 2025-04-24 DOI: 10.1002/pmic.202570028

引用次数: 0

Editorial Board: Proteomics 7'25 编辑委员会：蛋白质组学7'25

IF 3.4 4区生物学

Proteomics Pub Date : 2025-04-02 DOI: 10.1002/pmic.202570024

引用次数: 0

Contents: Proteomics 7'25 内容：蛋白质组学7'25

IF 3.4 4区生物学

Proteomics Pub Date : 2025-04-02 DOI: 10.1002/pmic.202570025

引用次数: 0

Standard abbreviations 标准缩写

IF 3.4 4区生物学

Proteomics Pub Date : 2025-04-02 DOI: 10.1002/pmic.202570026

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Ethics of Personalised Medicine: Importance of the Multidisciplinary Approach in KidneySign Project. 个性化医疗的伦理：多学科方法在肾脏设计项目中的重要性。

IF 3.4 4区生物学

Proteomics Pub Date : 2025-04-02 DOI: 10.1002/pmic.202400176

Delphine Azéma, Flore Duranton, Àngel Argilés, Emmanuelle Rial-Sebbag

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引用次数: 0

Monitoring Functional Posttranslational Modifications Using a Data-Driven Proteome Informatic Pipeline 使用数据驱动的蛋白质组信息管道监测功能性翻译后修饰。

IF 3.4 4区生物学

Proteomics Pub Date : 2025-03-18 DOI: 10.1002/pmic.202400238

Payman Nickchi, Uladzislau Vadadokhau, Mehdi Mirzaie, Marc Baumann, Amir A. Saei, Mohieddin Jafari

{"title":"Monitoring Functional Posttranslational Modifications Using a Data-Driven Proteome Informatic Pipeline","authors":"Payman Nickchi, Uladzislau Vadadokhau, Mehdi Mirzaie, Marc Baumann, Amir A. Saei, Mohieddin Jafari","doi":"10.1002/pmic.202400238","DOIUrl":"10.1002/pmic.202400238","url":null,"abstract":"Posttranslational modifications (PTMs) are of significant interest in molecular biomedicine due to their crucial role in signal transduction across various cellular and organismal processes. Characterizing PTMs, distinguishing between functional and inert modifications, quantifying their occupancies, and understanding PTM crosstalk are challenging tasks in any biosystem. Studying each PTM often requires a specific, labor-intensive experimental design. Here, we present a PTM-centric proteome informatic pipeline for predicting relevant PTMs in mass spectrometry-based proteomics data without prior information. Once predicted, these in silico identified PTMs can be incorporated into a refined database search and compared to measured data. As a practical application, we demonstrate how this pipeline can be used to study glycoproteomics in oral squamous cell carcinoma based on the proteome profile of primary tumors. Subsequently, we experimentally identified cellular proteins that are differentially expressed in cells treated with multikinase inhibitors dasatinib and staurosporine using mass spectrometry-based proteomics. Computational enrichment analysis was then employed to determine the potential PTMs of differentially expressed proteins induced by both drugs. Finally, we conducted an additional round of database search with the predicted PTMs. Our pipeline successfully analyzed the enriched PTMs, and detected proteins not identified in the initial search. Our findings support the effectiveness of PTM-centric searching of MS data in proteomics based on computational enrichment analysis, and we propose integrating this approach into future proteomics search engines.","PeriodicalId":224,"journal":{"name":"Proteomics","volume":"25 8","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/pmic.202400238","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143655578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Contents: Proteomics 5–6'25 内容：蛋白质组学5-6′25

IF 3.4 4区生物学

Proteomics Pub Date : 2025-03-17 DOI: 10.1002/pmic.202570021

引用次数: 0

Standard abbreviations 标准缩写

IF 3.4 4区生物学

Proteomics Pub Date : 2025-03-17 DOI: 10.1002/pmic.202570022

引用次数: 0