Advances in the Chromosome-Centric Human Proteome Project: looking to the future

Expert Rev Proteomics. 2017 Dec;14(12):1059-1071. doi: 10.1080/14789450.2017.1394189. Epub 2017 Nov 10.

Abstract

The mission of the Chromosome-Centric Human Proteome Project (C-HPP), is to map and annotate the entire predicted human protein set (~20,000 proteins) encoded by each chromosome. The initial steps of the project are focused on 'missing proteins (MPs)', which lacked documented evidence for existence at protein level. In addition to remaining 2,579 MPs, we also target those annotated proteins having unknown functions, uPE1 proteins, alternative splice isoforms and post-translational modifications. We also consider how to investigate various protein functions involved in cis-regulatory phenomena, amplicons lncRNAs and smORFs. Areas covered: We will cover the scope, historic background, progress, challenges and future prospects of C-HPP. This review also addresses the question of how we can best improve the methodological approaches, select the optimal biological samples, and recommend stringent protocols for the identification and characterization of MPs. A new strategy for functional analysis of some of those annotated proteins having unknown function will also be discussed. Expert commentary: If the project moves well by reshaping the original goals, the current working modules and team work in the proposed extended planning period, it is anticipated that a progressively more detailed draft of an accurate chromosome-based proteome map will become available with functional information.

Keywords: Chromosome-Centric Human Proteome Project; HUPO; SRMAtlas; functional annotation; human protein atlas; long non-coding RNA; mass spectrometry; missing proteins; neXtProt; peptideatlas; protein evidence; proteomexchange; smORF; targeted proteomics.

Publication types

  • Review
  • Research Support, Non-U.S. Gov't
  • Research Support, N.I.H., Extramural

MeSH terms

  • Chromosomes, Human
  • Computational Biology / methods*
  • Databases, Protein
  • Humans
  • Mass Spectrometry
  • Protein Processing, Post-Translational
  • Proteome / genetics*
  • Proteomics / methods*

Substances

  • Proteome