{"title":"基因-代谢物联系标志着储存的红细胞质量","authors":"Changhan Chen, Wuping Liu, Yang Xia","doi":"10.1016/j.cmet.2024.08.004","DOIUrl":null,"url":null,"abstract":"<p>Red blood cell (RBC) transfusion has long been the cornerstone of treatment for multiple diseases, but there is a knowledge gap between biological and genetic factors impacting RBC storage quality and transfusion efficacy. In this issue of <em>Cell Metabolism</em>, Nemkov et al. present a multiomics approach to identify gene-metabolite associations in fresh and stored RBCs. These findings provide potential strategies to mark the quality of stored RBCs and improve their storage and transfusion performance.</p>","PeriodicalId":27,"journal":{"name":"Analytical Chemistry","volume":null,"pages":null},"PeriodicalIF":6.7000,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Gene-metabolite linkage marks stored red blood cell quality\",\"authors\":\"Changhan Chen, Wuping Liu, Yang Xia\",\"doi\":\"10.1016/j.cmet.2024.08.004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Red blood cell (RBC) transfusion has long been the cornerstone of treatment for multiple diseases, but there is a knowledge gap between biological and genetic factors impacting RBC storage quality and transfusion efficacy. In this issue of <em>Cell Metabolism</em>, Nemkov et al. present a multiomics approach to identify gene-metabolite associations in fresh and stored RBCs. These findings provide potential strategies to mark the quality of stored RBCs and improve their storage and transfusion performance.</p>\",\"PeriodicalId\":27,\"journal\":{\"name\":\"Analytical Chemistry\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":6.7000,\"publicationDate\":\"2024-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Analytical Chemistry\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1016/j.cmet.2024.08.004\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analytical Chemistry","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.cmet.2024.08.004","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
Gene-metabolite linkage marks stored red blood cell quality
Red blood cell (RBC) transfusion has long been the cornerstone of treatment for multiple diseases, but there is a knowledge gap between biological and genetic factors impacting RBC storage quality and transfusion efficacy. In this issue of Cell Metabolism, Nemkov et al. present a multiomics approach to identify gene-metabolite associations in fresh and stored RBCs. These findings provide potential strategies to mark the quality of stored RBCs and improve their storage and transfusion performance.
期刊介绍:
Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.