High Abundance Proteins: ProteomerâÂÂs Thorns in the Flesh?

Ravi Gupta
{"title":"High Abundance Proteins: ProteomerâÂÂs Thorns in the Flesh?","authors":"Ravi Gupta","doi":"10.4172/jpb.1000e35","DOIUrl":null,"url":null,"abstract":"Identification of low-abundance proteins is one of the major challenges in Proteomics because of the high dynamic range of the protein concentration in the biological samples [1]. Therefore, one of the prime objectives of the proteomers is to reduce the dynamic protein concentration range to shed a light on the “low-abundance proteome” or sometimes referred as “Hidden Proteome” [2]. The development and utilization of latest mass spectrometers have increased the sensitivity of the protein identification, fostering the identification of proteins present in extremely small amounts (up to attomoles, in isolation) [3]. However, the identification of low-abundance proteins during the analysis of whole cell/tissue proteome is still not achievable without any prefractionation of the samples [4]. One of the major reasons of this limited resolution, during total proteome analysis, is the presence of high-abundance proteins which occupies a major portion of the cell/ tissue proteome. Albumin in blood [1], RuBisCO in green leaves [5], and storage proteins in seeds, tubers, and roots [6] are some of the common examples of the high-abundance proteins in the biological samples. These high abundance proteins are products of the genes which are present in large copy numbers and inevitably impede the identification and characterization of low abundance proteins. Biomarkers or signaling/regulatory proteins are generally lowabundance in nature and are masked by the presence of these abundant proteins which are present in numbers 105-106 copies per cell [2,7,8]. As an example, 22 most abundant proteins, in the human blood plasma, constitute approximately 99% of the total plasma proteome with lowabundance proteins present as only 1% of the total plasma proteome [9]. Because of the presence of these high-abundance proteins, proteomics studies majorly ends up with the repeated identification of different components of these abundant or house-keeping proteins and thus actual information of the biological phenomenon remains concealed. The possibility to look beyond these abundant proteins or go further lies on the successful enrichment and identification of the lowabundance proteins which are present less than 100 copies per cell [7].","PeriodicalId":73911,"journal":{"name":"Journal of proteomics & bioinformatics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of proteomics & bioinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4172/jpb.1000e35","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Identification of low-abundance proteins is one of the major challenges in Proteomics because of the high dynamic range of the protein concentration in the biological samples [1]. Therefore, one of the prime objectives of the proteomers is to reduce the dynamic protein concentration range to shed a light on the “low-abundance proteome” or sometimes referred as “Hidden Proteome” [2]. The development and utilization of latest mass spectrometers have increased the sensitivity of the protein identification, fostering the identification of proteins present in extremely small amounts (up to attomoles, in isolation) [3]. However, the identification of low-abundance proteins during the analysis of whole cell/tissue proteome is still not achievable without any prefractionation of the samples [4]. One of the major reasons of this limited resolution, during total proteome analysis, is the presence of high-abundance proteins which occupies a major portion of the cell/ tissue proteome. Albumin in blood [1], RuBisCO in green leaves [5], and storage proteins in seeds, tubers, and roots [6] are some of the common examples of the high-abundance proteins in the biological samples. These high abundance proteins are products of the genes which are present in large copy numbers and inevitably impede the identification and characterization of low abundance proteins. Biomarkers or signaling/regulatory proteins are generally lowabundance in nature and are masked by the presence of these abundant proteins which are present in numbers 105-106 copies per cell [2,7,8]. As an example, 22 most abundant proteins, in the human blood plasma, constitute approximately 99% of the total plasma proteome with lowabundance proteins present as only 1% of the total plasma proteome [9]. Because of the presence of these high-abundance proteins, proteomics studies majorly ends up with the repeated identification of different components of these abundant or house-keeping proteins and thus actual information of the biological phenomenon remains concealed. The possibility to look beyond these abundant proteins or go further lies on the successful enrichment and identification of the lowabundance proteins which are present less than 100 copies per cell [7].
高丰度蛋白质:ProteomerâÂÂs肉中的刺?
低丰度蛋白质的鉴定是蛋白质组学的主要挑战之一,因为生物样品中蛋白质浓度的动态范围很大。因此,蛋白质组的主要目标之一是降低动态蛋白质浓度范围,以揭示“低丰度蛋白质组”或有时被称为“隐藏蛋白质组”[2]。最新质谱仪的开发和利用提高了蛋白质鉴定的灵敏度,促进了极少量(分离到原子摩尔)蛋白质的鉴定[10]。然而,在整个细胞/组织蛋白质组分析过程中,如果没有对样品进行任何预分离,仍然无法实现低丰度蛋白质的鉴定。在总蛋白质组分析中,这种有限分辨率的主要原因之一是存在高丰度的蛋白质,这些蛋白质占据了细胞/组织蛋白质组的主要部分。血液中的白蛋白[1],绿叶中的RuBisCO[5],种子、块茎和根中的储存蛋白[6]是生物样品中高丰度蛋白的一些常见例子。这些高丰度蛋白质是基因的产物,这些基因存在大量拷贝数,不可避免地阻碍了低丰度蛋白质的鉴定和表征。生物标志物或信号/调节蛋白在自然界中通常是低丰度的,并被这些丰富的蛋白的存在所掩盖,这些蛋白的数量为每个细胞105-106个拷贝[2,7,8]。例如,人类血浆中22种最丰富的蛋白质约占总血浆蛋白质组的99%,而低丰度蛋白质仅占总血浆蛋白质组的1%。由于这些高丰度蛋白质的存在,蛋白质组学研究主要以重复鉴定这些丰富或管家蛋白质的不同成分而告终,因此生物现象的实际信息仍然被隐藏。超越这些丰富的蛋白质或进一步研究的可能性取决于成功富集和鉴定每个细胞中存在少于100个拷贝的低丰度蛋白质。
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
自引率
0.00%
发文量
0
文献相关原料
公司名称 产品信息 采购帮参考价格
×
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