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Deep proteome and transcriptome mapping of a human cancer cell line

Nagarjuna Nagaraj, Jacek R. Wisniewski, Tamar Geiger, Juergen Cox, Martin Kircher, Janet Kelso, Svante Pääbo, Matthias Mann*

*Korrespondierende/r Autor/-in für diese Arbeit

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.

OriginalspracheEnglisch
Aufsatznummer548
ZeitschriftMolecular Systems Biology
Jahrgang7
DOIs
PublikationsstatusVeröffentlicht - 2011

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 3 – Gesundheit und Wohlergehen
    SDG 3 – Gesundheit und Wohlergehen

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