Abstract：
: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.
journal_name
J Proteome Resjournal_title
Journal of proteome researchauthors
Chang C,Li L,Zhang C,Wu S,Guo K,Zi J,Chen Z,Jiang J,Ma J,Yu Q,Fan F,Qin P,Han M,Su N,Chen T,Wang K,Zhai L,Zhang T,Ying W,Xu Z,Zhang Y,Liu Y,Liu X,Zhong F,Shen H,Wang Q,Hou G,Zhao H,Li G,Liu S,Gdoi
10.1021/pr4009018subject
Has Abstractpub_date
2014-01-03 00:00:00pages
38-49issue
1eissn
1535-3893issn
1535-3907journal_volume
13pub_type
杂志文章abstract：:Quantitative comparison of protein expression levels in 2D gels is complicated by the variables associated with protein separation and mass spectrometric responses. Metabolic labeling allows cells from different experiments to be mixed prior to analysis. This approach has been reported for prokaryotic cells. Here, we ...
journal_title：Journal of proteome research
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journal_title：Journal of proteome research
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journal_title：Journal of proteome research
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journal_title：Journal of proteome research
pub_type： 杂志文章
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更新日期：2014-02-07 00:00:00
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