Proteomic analyses of human tissues are often conducted on autopsy samples. However, no detailed comparative analysis between proteomic changes derived from autopsy samples and fresh-frozen samples has been undertaken. In this study, human left anterior descending (LAD) coronary artery samples (n = 94) from deceased patients were analyzed using nanoflow LC-MS/MS. Among consistently quantified proteins, 37% of the protein abundances exhibited significant correlations with the post-mortem interval (PMI), most of which are inverse. Notably, smooth muscle cell markers displayed substantial reduction with prolonged PMI. Conversely, positive correlations were observed for immunoglobulins, coagulation factors, and complement factors, including coagulation factor XII, plasminogen, and lactotransferrin. Comparative analyses of sex-specific protein changes in autopsy LAD samples versus fresh-frozen LAD samples (n = 65) showed no concordance. However, a robust correlation was observed between 2 different cohorts of fresh-frozen carotid endarterectomies (n = 120 and n = 200). This study represents the first large-scale proteomics investigation into the influence of PMI on the protein composition of the human vasculature, showing significant correlations with PMI for 37% of the quantified proteins. Our findings underscore potential discrepancies in the quantitative accuracy of proteomics data derived from autopsy samples. Consequently, results obtained from post-mortem specimens may not be reproducible in fresh-frozen samples.
A Comparative Proteomics Study of Autopsy and Fresh-Frozen Coronary Artery Samples.
尸检和新鲜冷冻冠状动脉样本的比较蛋白质组学研究
阅读:10
作者:Yin Xiaoke, Beele Alicia, Theofilatos Konstantinos, Baig Ferheen, Hasman Maria, Schmidt Lukas E, Boyle Joseph J, Turner Adam W, Miller Clint L, Pasterkamp Gerard, Stojkovic Stefan, Wojta Johann, Joner Michael, Mayr Manuel
| 期刊: | Journal of Proteome Research | 影响因子: | 3.600 |
| 时间: | 2025 | 起止号: | 2025 Jul 4; 24(7):3154-3159 |
| doi: | 10.1021/acs.jproteome.5c00152 | 研究方向: | 免疫/内分泌 |
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
