Open AccessGene‐specific correlation of RNA and protein levels in human cells and tissues
Author(s) -
Edfors Fredrik,
Danielsson Frida,
Hallström Björn M,
Käll Lukas,
Lundberg Emma,
Pontén Fredrik,
Forsström Björn,
Uhlén Mathias
Publication year - 2016
Publication title -
molecular systems biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 8.523
H-Index - 148
ISSN - 1744-4292
DOI - 10.15252/msb.20167144
Subject(s) - biology , gene , rna , gene expression , genetics , correlation , microbiology and biotechnology , computational biology , geometry , mathematics
An important issue for molecular biology is to establish whether transcript levels of a given gene can be used as proxies for the corresponding protein levels. Here, we have developed a targeted proteomics approach for a set of human non‐secreted proteins based on parallel reaction monitoring to measure, at steady‐state conditions, absolute protein copy numbers across human tissues and cell lines and compared these levels with the corresponding mRNA levels using transcriptomics. The study shows that the transcript and protein levels do not correlate well unless a gene‐specific RNA‐to‐protein ( RTP ) conversion factor independent of the tissue type is introduced, thus significantly enhancing the predictability of protein copy numbers from RNA levels. The results show that the RTP ratio varies significantly with a few hundred copies per mRNA molecule for some genes to several hundred thousands of protein copies per mRNA molecule for others. In conclusion, our data suggest that transcriptome analysis can be used as a tool to predict the protein copy numbers per cell, thus forming an attractive link between the field of genomics and proteomics.