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Appraisal of the Missing Proteins Based on the mRNAs Bound to Ribosomes.

Abstract
Considering the technical limitations of mass spectrometry in protein identification, the mRNAs bound to ribosomes (RNC-mRNA) are assumed to reflect the mRNAs participating in the translational process. The RNC-mRNA data are reasoned to be useful for appraising the missing proteins. A set of the multiomics data including free-mRNAs, RNC-mRNAs, and proteomes was acquired from three liver cancer cell lines. On the basis of the missing proteins in neXtProt (release 2014-09-19), the bioinformatics analysis was carried out in three phases: (1) finding how many neXtProt missing proteins have or do not have RNA-seq and/or MS/MS evidence, (2) analyzing specific physicochemical and biological properties of the missing proteins that lack both RNA-seq and MS/MS evidence, and (3) analyzing the combined properties of these missing proteins. Total of 1501 missing proteins were found by neither RNC-mRNA nor MS/MS in the three liver cancer cell lines. For these missing proteins, some are expected higher hydrophobicity, unsuitable detection, or sensory functions as properties at the protein level, while some are predicted to have nonexpressing chromatin structures on the corresponding gene level. With further integrated analysis, we could attribute 93% of them (1391/1501) to these causal factors, which result in the expression products scarcely detected by RNA-seq or MS/MS.
AuthorsShaohang Xu, Ruo Zhou, Zhe Ren, Baojin Zhou, Zhilong Lin, Guixue Hou, Yamei Deng, Jin Zi, Liang Lin, Quanhui Wang, Xin Liu, Xun Xu, Bo Wen, Siqi Liu
JournalJournal of proteome research (J Proteome Res) Vol. 14 Issue 12 Pg. 4976-84 (Dec 04 2015) ISSN: 1535-3907 [Electronic] United States
PMID26500078 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
Chemical References
  • Proteins
  • RNA, Messenger
  • Deoxyribonuclease I
Topics
  • Cell Line, Tumor
  • Computational Biology (methods)
  • Deoxyribonuclease I (metabolism)
  • Gene Ontology
  • Humans
  • Hydrophobic and Hydrophilic Interactions
  • Liver Neoplasms (genetics, metabolism)
  • Protein Biosynthesis
  • Proteins (analysis, chemistry, genetics)
  • Proteomics (methods)
  • RNA, Messenger (metabolism)
  • Ribosomes (genetics, metabolism)
  • Sequence Analysis, RNA
  • Tandem Mass Spectrometry

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