Proteomic Difference Analysis of Whole Blood and Bloodstains.

Journal of Forensic Medicine Pub Date : 2023-12-25 DOI:10.12116/j.issn.1004-5619.2022.521204

Ao Huang, Shu-Bo Wen, Qian-Qian Kong, Zhen-Min Zhao, Xi-Ling Liu

{"title":"Proteomic Difference Analysis of Whole Blood and Bloodstains.","authors":"Ao Huang, Shu-Bo Wen, Qian-Qian Kong, Zhen-Min Zhao, Xi-Ling Liu","doi":"10.12116/j.issn.1004-5619.2022.521204","DOIUrl":null,"url":null,"abstract":"Objectives: To study the changes of protein levels in peripheral blood after it dried.Methods: The proteins from whole blood and bloodstains were detected by liquid chromatography-tandem mass spectrometry (LC-MS/MS) and normalized by the label-free quantification (LFQ) method. The differential proteins were analyzed by using R 4.2.1 software, limma and edgeR package. The analysis of biological function, signaling pathway and subcellular localization for the differential proteins was then performed.Results: A total of 623 and 596 proteins were detected in whole blood and bloodstains, respectively, of which 31 were statistically significant in the quantitative results, including 10 up-regulated and 21 down-regulated proteins in bloodstains.Conclusions: The protein abundances in whole blood and bloodstains are highly correlated, and the variation of protein abundances may be related to the changes of endogenous and structural proteins in cells. The application of proteomics technology can assist the screening and identification of protein biomarkers, thereby introducing new biomarkers for forensic research.","PeriodicalId":15899,"journal":{"name":"Journal of Forensic Medicine","volume":"39 6","pages":"549-556"},"PeriodicalIF":0.0000,"publicationDate":"2023-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Forensic Medicine","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.12116/j.issn.1004-5619.2022.521204","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

Abstract

Objectives: To study the changes of protein levels in peripheral blood after it dried.

Methods: The proteins from whole blood and bloodstains were detected by liquid chromatography-tandem mass spectrometry (LC-MS/MS) and normalized by the label-free quantification (LFQ) method. The differential proteins were analyzed by using R 4.2.1 software, limma and edgeR package. The analysis of biological function, signaling pathway and subcellular localization for the differential proteins was then performed.

Results: A total of 623 and 596 proteins were detected in whole blood and bloodstains, respectively, of which 31 were statistically significant in the quantitative results, including 10 up-regulated and 21 down-regulated proteins in bloodstains.

Conclusions: The protein abundances in whole blood and bloodstains are highly correlated, and the variation of protein abundances may be related to the changes of endogenous and structural proteins in cells. The application of proteomics technology can assist the screening and identification of protein biomarkers, thereby introducing new biomarkers for forensic research.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

全血和血迹的蛋白质组差异分析

目的：研究外周血干燥后蛋白质含量的变化：研究外周血干燥后蛋白质水平的变化：采用液相色谱-串联质谱法（LC-MS/MS）检测全血和血迹中的蛋白质，并采用无标记定量法（LFQ）进行归一化。利用 R 4.2.1 软件、limma 和 edgeR 软件包对差异蛋白进行分析。然后对差异蛋白的生物学功能、信号通路和亚细胞定位进行了分析：结果：在全血和血迹中分别检测到 623 个和 596 个蛋白质，其中 31 个蛋白质的定量结果具有统计学意义，包括 10 个上调蛋白质和 21 个下调蛋白质：结论：全血和血迹中的蛋白质丰度高度相关，蛋白质丰度的变化可能与细胞中内源性蛋白质和结构蛋白质的变化有关。蛋白质组学技术的应用有助于蛋白质生物标志物的筛选和鉴定，从而为法医研究引入新的生物标志物。

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分钟内获得全文去求助

来源期刊

Journal of Forensic Medicine

自引率

0.00%

发文量

期刊介绍：