Multienzyme activity profiling for evaluation of cell-to-cell variability of metabolic state

IF 2.5 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Govind S. Gill, Michael C. Schultz
{"title":"Multienzyme activity profiling for evaluation of cell-to-cell variability of metabolic state","authors":"Govind S. Gill,&nbsp;Michael C. Schultz","doi":"10.1096/fba.2022-00073","DOIUrl":null,"url":null,"abstract":"<p>In solid organs, cells of the same “type” can vary in their molecular phenotype. The basis of this state variation is being revealed by characterizing cell features including the expression pattern of mRNAs and the internal distribution of proteins. Here, the variability of metabolic state between cells is probed by enzyme activity profiling. We study individual cells of types that can be identified during the post-mitotic phase of oogenesis in Xenopus laevis. Whole-cell homogenates of isolated oocytes are used for kinetic analysis of enzymes, with a focus on the initial reaction rate. For each oocyte type studied, the activity signatures of glyceraldehyde 3-phosphate dehydrogenase (GAPDH) and malate dehydrogenase 1 (MDH1) vary more between the homogenates of single oocytes than between repeat samplings of control homogenates. Unexpectedly, the activity signatures of GAPDH and MDH1 strongly co-vary between oocytes of each type and change in strength of correlation during oogenesis. Therefore, variability of the kinetic behavior of these housekeeping enzymes between “identical” cells is physiologically programmed. Based on these findings, we propose that single-cell profiling of enzyme kinetics will improve understanding of how metabolic state heterogeneity is related to heterogeneity revealed by omics methods including proteomics, epigenomics, and metabolomics.</p>","PeriodicalId":12093,"journal":{"name":"FASEB bioAdvances","volume":"4 11","pages":"709-723"},"PeriodicalIF":2.5000,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/d7/e3/FBA2-4-709.PMC9635011.pdf","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"FASEB bioAdvances","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1096/fba.2022-00073","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 1

Abstract

In solid organs, cells of the same “type” can vary in their molecular phenotype. The basis of this state variation is being revealed by characterizing cell features including the expression pattern of mRNAs and the internal distribution of proteins. Here, the variability of metabolic state between cells is probed by enzyme activity profiling. We study individual cells of types that can be identified during the post-mitotic phase of oogenesis in Xenopus laevis. Whole-cell homogenates of isolated oocytes are used for kinetic analysis of enzymes, with a focus on the initial reaction rate. For each oocyte type studied, the activity signatures of glyceraldehyde 3-phosphate dehydrogenase (GAPDH) and malate dehydrogenase 1 (MDH1) vary more between the homogenates of single oocytes than between repeat samplings of control homogenates. Unexpectedly, the activity signatures of GAPDH and MDH1 strongly co-vary between oocytes of each type and change in strength of correlation during oogenesis. Therefore, variability of the kinetic behavior of these housekeeping enzymes between “identical” cells is physiologically programmed. Based on these findings, we propose that single-cell profiling of enzyme kinetics will improve understanding of how metabolic state heterogeneity is related to heterogeneity revealed by omics methods including proteomics, epigenomics, and metabolomics.

Abstract Image

多酶活性分析用于评估细胞间代谢状态的可变性
在实体器官中,相同“类型”的细胞可以在其分子表型上有所不同。这种状态变化的基础正在通过表征细胞特征,包括mrna的表达模式和蛋白质的内部分布来揭示。在这里,细胞间代谢状态的可变性是通过酶活性分析来探测的。我们研究了非洲爪蟾卵发生后有丝分裂阶段可以识别的单个细胞类型。分离卵母细胞的全细胞匀浆用于酶的动力学分析,重点是初始反应速率。对于所研究的每种卵母细胞类型,单个卵母细胞匀浆之间甘油醛3-磷酸脱氢酶(GAPDH)和苹果酸脱氢酶1 (MDH1)的活性特征差异大于对照匀浆重复取样之间的差异。出乎意料的是,GAPDH和MDH1的活性特征在每种类型的卵母细胞之间存在强烈的共变,并且在卵发生过程中相关强度发生变化。因此,这些“管家”酶在“相同”细胞之间的动力学行为的可变性是生理程序化的。基于这些发现,我们提出单细胞酶动力学分析将提高对代谢状态异质性与组学方法(包括蛋白质组学、表观基因组学和代谢组学)揭示的异质性之间关系的理解。
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
FASEB bioAdvances
FASEB bioAdvances Multiple-
CiteScore
5.40
自引率
3.70%
发文量
56
审稿时长
10 weeks
×
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