Proteogenomic analysis of human chromosome 9-encoded genes from human samples and lung cancer tissues

  • Jung Mo Ahn
  • , Min Sik Kim
  • , Yong In Kim
  • , Seul Ki Jeong
  • , Hyoung Joo Lee
  • , Sun Hee Lee
  • , Young Ki Paik
  • , Akhilesh Pandey
  • , Je Yoel Cho

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

The Chromosome-centric Human Proteome Project (C-HPP) was recently initiated as an international collaborative effort. Our team adopted chromosome 9 (Chr 9) and performed a bioinformatics and proteogenomic analysis to catalog Chr 9-encoded proteins from normal tissues, lung cancer cell lines, and lung cancer tissues. Approximately 74.7% of the Chr 9 genes of the human genome were identified, which included approximately 28% of missing proteins (46 of 162) on Chr 9 compared with the list of missing proteins from the neXtProt Master Table (2013-09). In addition, we performed a comparative proteomics analysis between normal lung and lung cancer tissues. On the basis of the data analysis, 15 proteins from Chr 9 were detected only in lung cancer tissues. Finally, we conducted a proteogenomic analysis to discover Chr 9-residing single nucleotide polymorphisms (SNP) and mutations described in the COSMIC cancer mutation database. We identified 21 SNPs and four mutations containing peptides on Chr 9 from normal human cells/tissues and lung cancer cell lines, respectively. In summary, this study provides valuable information of the human proteome for the scientific community as part of C-HPP. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium with the data set identifier PXD000603.

Original languageEnglish
Pages (from-to)137-146
Number of pages10
JournalJournal of Proteome Research
Volume13
Issue number1
DOIs
StatePublished - 3 Jan 2014

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • C-HPP
  • biomarker
  • lung cancer
  • missing proteins

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