Systematic Analyses of the Transcriptome, Translatome, and Proteome Provide a Global View and Potential Strategy for the C-HPP
Systematic Analyses of the Transcriptome, Translatome, and Proteome Provide a Global View and Potential Strategy for the C-HPP
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转录组、翻译组和蛋白质组的系统分析为 C-HPP 提供了全局视角和潜在策略
DOI：
10.1021/pr4009018
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发表时间：
2014-01-01
影响因子：
4.4
通讯作者：
Xu, Ping
中科院分区：
文献类型：
--
作者：
Chang, Cheng;Li, Liwei;Xu, Ping
为了评估最先进的蛋白质组学技术在编码基因产物全覆盖方面的潜力，中国人类染色体蛋白质组联盟（CCPC）采用多组学策略，对同一培养的具有不同转移潜力的肝癌细胞的转录组、翻译组和蛋白质组进行定性和定量系统分析。结果提供了基因表达谱的全局视图。 9064 个鉴定出的高置信度蛋白质覆盖了翻译组中所有基因产物的 50.2%。那些具有粘附、发育、繁殖等功能的蛋白质在转录组和翻译组中含量较低，但在蛋白质组中不存在。以翻译组作为蛋白质表达的背景，我们发现蛋白质丰度起着决定性作用，疏水性对蛋白质检测能力的影响比分子量和等电点更大。因此，用于低丰度转录因子的富集策略有助于识别缺失的蛋白质。此外，那些具有单氨基酸多态性的肽在疾病研究中发挥了重要作用，尽管它们对新蛋白质鉴定的贡献可能微乎其微。使用 iProX 提交系统收集蛋白质组原始数据和蛋白质组元数据，并提交至 ProteomeXchange（PXD000529、PXD000533 和 PXD000535）。本研究的所有详细信息都可以从中国以染色体为中心的人类蛋白质组数据库中获取。
To estimate the potential of the state-of-the-art proteomics technologies on full coverage of the encoding gene products, the Chinese Human Chromosome Proteome Consortium (CCPC) applied a multiomics strategy to systematically analyze the transciptome, translatome, and proteome of the same cultured hepatoma,cells with varied metastatic potential qualitatively and quantitatively. The results provide a global view of gene expression profiles. The 9064 identified high confident proteins covered 50.2% of all gene products in the translatome. Those proteins with function of adhesion, development, reproduction, and so on are low abundant in transcriptome and translatome but absent in proteome. Taking the translatome as the background of protein expression, we found that the protein abundance plays a decisive role and hydrophobicity has a greater influence than molecular weight and isoelectric point on protein detectability. Thus, the enrichment strategy used for low-abundant transcription factors helped to identify missing proteins. In addition, those peptides with single amino acid polymorphisms played a significant role for the disease research, although they might negligibly contribute to new protein identification. The proteome raw and metadata of proteome were collected using the iProX submission system and submitted to ProteomeXchange (PXD000529, PXD000533, and PXD000535). All detailed information in this study can be accessed from the Chinese Chromosome-Centric Human Proteome Database.