Article

Defining the transcriptome and proteome in three functionally different human cell lines.

Science for Life Laboratory, Royal Institute of Technology, Stockholm, Sweden.
Molecular Systems Biology (impact factor: 8.63). 12/2010; 6:450. DOI:10.1038/msb.2010.106 pp.450
Source: PubMed

ABSTRACT An essential question in human biology is how cells and tissues differ in gene and protein expression and how these differences delineate specific biological function. Here, we have performed a global analysis of both mRNA and protein levels based on sequence-based transcriptome analysis (RNA-seq), SILAC-based mass spectrometry analysis and antibody-based confocal microscopy. The study was performed in three functionally different human cell lines and based on the global analysis, we estimated the fractions of mRNA and protein that are cell specific or expressed at similar/different levels in the cell lines. A highly ubiquitous RNA expression was found with >60% of the gene products detected in all cells. The changes of mRNA and protein levels in the cell lines using SILAC and RNA ratios show high correlations, even though the genome-wide dynamic range is substantially higher for the proteins as compared with the transcripts. Large general differences in abundance for proteins from various functional classes are observed and, in general, the cell-type specific proteins are low abundant and highly enriched for cell-surface proteins. Thus, this study shows a path to characterize the transcriptome and proteome in human cells from different origins.

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Keywords

antibody-based confocal microscopy
 
cell lines
 
cell specific
 
cell-type specific proteins
 
correlations
 
differences delineate specific biological function
 
essential question
 
functionally different human cell lines
 
gene products
 
genome-wide dynamic range
 
global analysis
 
human biology
 
human cells
 
Large general differences
 
protein expression
 
protein levels
 
RNA ratios
 
SILAC-based mass spectrometry analysis
 
similar/different levels
 
ubiquitous RNA expression