Deep proteome and transcriptome mapping of a human cancer cell line

Nagarjuna Nagaraj(Max Planck Institute of Biochemistry), Jacek R. Wiśniewski(Max Planck Institute of Biochemistry), Tamar Geiger(Max Planck Institute of Biochemistry), Jüergen Cox(Max Planck Institute of Biochemistry), Martin Kircher(Max Planck Society), Janet Kelso(Max Planck Society), Svante Pääbo(Max Planck Society), Matthias Mann(Max Planck Institute of Biochemistry)
Molecular Systems Biology
November 8, 2011
Cited by 1,031Open Access
Full Text

Abstract

While the number and identity of proteins expressed in a single human cell type is currently unknown, this fundamental question can be addressed by advanced mass spectrometry (MS)-based proteomics. Online liquid chromatography coupled to high-resolution MS and MS/MS yielded 166 420 peptides with unique amino-acid sequence from HeLa cells. These peptides identified 10 255 different human proteins encoded by 9207 human genes, providing a lower limit on the proteome in this cancer cell line. Deep transcriptome sequencing revealed transcripts for nearly all detected proteins. We calculate copy numbers for the expressed proteins and show that the abundances of > 90% of them are within a factor 60 of the median protein expression level. Comparisons of the proteome and the transcriptome, and analysis of protein complex databases and GO categories, suggest that we achieved deep coverage of the functional transcriptome and the proteome of a single cell type.


Related Papers