Back to Search Start Over

A Chromosome-centric Human Proteome Project (C-HPP) to Characterize the Sets of Proteins Encoded in Chromosome 17

Authors :
Liu, Suli
Im, Hogune
Bairoch, Amos
Cristofanilli, Massimo
Chen, Rui
Deutsch, Eric W.
Dalton, Stephen
Fenyo, David
Fanayan, Susan
Gates, Chris
Gaudet, Pascale
Hincapie, Marina
Hanash, Samir
Kim, Hoguen
Jeong, Seul-Ki
Lundberg, Emma
Mias, George
Menon, Rajasree
Mu, Zhaomei
Nice, Edouard
Paik, Young-Ki
Uhlén, Mathias
Wells, Lance
Wu, Shiaw-Lin
Yan, Fangfei
Zhang, Fan
Zhang, Yue
Snyder, Michael
Omenn, Gilbert S.
Beavis, Ronald C.
Hancock, William S.
Liu, Suli
Im, Hogune
Bairoch, Amos
Cristofanilli, Massimo
Chen, Rui
Deutsch, Eric W.
Dalton, Stephen
Fenyo, David
Fanayan, Susan
Gates, Chris
Gaudet, Pascale
Hincapie, Marina
Hanash, Samir
Kim, Hoguen
Jeong, Seul-Ki
Lundberg, Emma
Mias, George
Menon, Rajasree
Mu, Zhaomei
Nice, Edouard
Paik, Young-Ki
Uhlén, Mathias
Wells, Lance
Wu, Shiaw-Lin
Yan, Fangfei
Zhang, Fan
Zhang, Yue
Snyder, Michael
Omenn, Gilbert S.
Beavis, Ronald C.
Hancock, William S.
Publication Year :
2013

Abstract

We report progress assembling the parts list for chromosome 17 and illustrate the various processes that we have developed to integrate available data from diverse genomic and proteomic knowledge bases. As primary resources, we have used GPMDB, neXtProt, PeptideAtlas, Human Protein Atlas (HPA), and GeneCards. All sites share the common resource of Ensembl for the genome modeling information. We have defined the chromosome 17 parts list with the following information: 1169 protein-coding genes, the numbers of proteins confidently identified by various experimental approaches as documented in GPMDB, neXtProt, PeptideAtlas, and HPA, examples of typical data sets obtained by RNASeq and proteomic studies of epithelial derived tumor cell lines (disease proteome) and a normal proteome (peripheral mononuclear cells), reported evidence of post-translational modifications, and examples of alternative splice variants (ASVs). We have constructed a list of the 59 "missing" proteins as well as 201 proteins that have inconclusive mass spectrometric (MS) identifications. In this report we have defined a process to establish a baseline for the incorporation of new evidence on protein identification and characterization as well as related information from transcriptome analyses. This initial list of "missing" proteins that will guide the selection of appropriate samples for discovery studies as well as antibody reagents. Also we have illustrated the significant diversity of protein variants (including post-translational modifications, PTMs) using regions on chromosome 17 that contain important oncogenes. We emphasize the need for mandated deposition of proteomics data in public databases, the further development of improved PTM, ASV, and single nucleotide variant (SNV) databases, and the construction of Web sites that can integrate and regularly update such information. In addition, we describe the distribution of both clustered and scattered sets of protein families on the chromosom<br />QC 20130306

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1234997074
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1021.pr300985j