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Comparative proteomic analysis of eleven common cell lines reveals ubiquitous but varying expression of most proteins.

Molecular & cellular proteomics : MCP | 2012

Deep proteomic analysis of mammalian cell lines would yield an inventory of the building blocks of the most commonly used systems in biological research. Mass spectrometry-based proteomics can identify and quantify proteins in a global and unbiased manner and can highlight the cellular processes that are altered between such systems. We analyzed 11 human cell lines using an LTQ-Orbitrap family mass spectrometer with a "high field" Orbitrap mass analyzer with improved resolution and sequencing speed. We identified a total of 11,731 proteins, and on average 10,361 ± 120 proteins in each cell line. This very high proteome coverage enabled analysis of a broad range of processes and functions. Despite the distinct origins of the cell lines, our quantitative results showed surprisingly high similarity in terms of expressed proteins. Nevertheless, this global similarity of the proteomes did not imply equal expression levels of individual proteins across the 11 cell lines, as we found significant differences in expression levels for an estimated two-third of them. The variability in cellular expression levels was similar for low and high abundance proteins, and even many of the most highly expressed proteins with household roles showed significant differences between cells. Metabolic pathways, which have high redundancy, exhibited variable expression, whereas basic cellular functions such as the basal transcription machinery varied much less. We harness knowledge of these cell line proteomes for the construction of a broad coverage "super-SILAC" quantification standard. Together with the accompanying paper (Schaab, C. MCP 2012, PMID: 22301388) (17) these data can be used to obtain reference expression profiles for proteins of interest both within and across cell line proteomes.

Pubmed ID: 22278370 RIS Download

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This is a list of tools and resources that we have found mentioned in this publication.


MaxQuant (tool)

RRID:SCR_014485

A quantitative proteomics software package for analyzing large-scale mass-spectrometric data sets. It is a set of algorithms that include peak detection and scoring of peptides, mass calibration, database searches for protein identification, protein quantification, and provides summary statistics.

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K-562 (tool)

RRID:CVCL_0004

Cell line K-562 is a Cancer cell line with a species of origin Homo sapiens (Human)

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Hep-G2 (tool)

RRID:CVCL_0027

Cell line Hep-G2 is a Cancer cell line with a species of origin Homo sapiens (Human)

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A-549 (tool)

RRID:CVCL_0023

Cell line A-549 is a Cancer cell line with a species of origin Homo sapiens (Human)

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HeLa (tool)

RRID:CVCL_0030

Cell line HeLa is a Cancer cell line with a species of origin Homo sapiens

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Jurkat (tool)

RRID:CVCL_0065

Cell line Jurkat is a Cancer cell line with a species of origin Homo sapiens (Human)

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HEK293 (tool)

RRID:CVCL_0045

Cell line HEK293 is a Transformed cell line with a species of origin Homo sapiens (Human)

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MCF-7 (tool)

RRID:CVCL_0031

Cell line MCF-7 is a Cancer cell line with a species of origin Homo sapiens (Human)

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U2OS (tool)

RRID:CVCL_0042

Cell line U2OS is a Cancer cell line with a species of origin Homo sapiens (Human)

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