A draft map of the human proteome.

Document Type

Article

Abstract

The availability of human genome sequence has transformed biomedical research over the past decade. However, an equivalent map for the human proteome with direct measurements of proteins and peptides does not exist yet. Here we present a draft map of the human proteome using high-resolution Fourier-transform mass spectrometry. In-depth proteomic profiling of 30 histologically normal human samples, including 17 adult tissues, 7 fetal tissues and 6 purified primary haematopoietic cells, resulted in identification of proteins encoded by 17,294 genes accounting for approximately 84% of the total annotated protein-coding genes in humans. A unique and comprehensive strategy for proteogenomic analysis enabled us to discover a number of novel protein-coding regions, which includes translated pseudogenes, non-coding RNAs and upstream open reading frames. This large human proteome catalogue (available as an interactive web-based resource at http://www.humanproteomemap.org) will complement available human genome and transcriptome data to accelerate biomedical research in health and disease.

Keywords

Adult, Cells, Cultured, Databases, Protein, Fetus, Fourier Analysis, Gene Expression Profiling, Genome, Human, Hematopoietic Stem Cells, Humans, Internet, Mass Spectrometry, Molecular Sequence Annotation, Open Reading Frames, Organ Specificity, Protein Biosynthesis, Protein Isoforms, Protein Sorting Signals, Protein Transport, Proteome, Proteomics, Pseudogenes, RNA, Untranslated, Reproducibility of Results, Untranslated Regions

Medical Subject Headings

Adult; Cells, Cultured; Databases, Protein; Fetus; Fourier Analysis; Gene Expression Profiling; Genome, Human; Hematopoietic Stem Cells; Humans; Internet; Mass Spectrometry; Molecular Sequence Annotation; Open Reading Frames; Organ Specificity; Protein Biosynthesis; Protein Isoforms; Protein Sorting Signals; Protein Transport; Proteome; Proteomics; Pseudogenes; RNA, Untranslated; Reproducibility of Results; Untranslated Regions

Publication Date

5-29-2014

Publication Title

Nature

ISSN

1476-4687

Volume

509

Issue

7502

First Page

575

Last Page

581

PubMed ID

24870542

Digital Object Identifier (DOI)

10.1038/nature13302

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