Author:
Gry Marcus,Rimini Rebecca,Strömberg Sara,Asplund Anna,Pontén Fredrik,Uhlén Mathias,Nilsson Peter
Abstract
Abstract
Background
The Central Dogma of biology holds, in famously simplified terms, that DNA makes RNA makes proteins, but there is considerable uncertainty regarding the general, genome-wide correlation between levels of RNA and corresponding proteins. Therefore, to assess degrees of this correlation we compared the RNA profiles (determined using both cDNA- and oligo-based microarrays) and protein profiles (determined immunohistochemically in tissue microarrays) of 1066 gene products in 23 human cell lines.
Results
A high mean correlation coefficient (0.52) was obtained from the pairwise comparison of RNA levels determined by the two platforms. Significant correlations, with correlation coefficients exceeding 0.445, between protein and RNA levels were also obtained for a third of the specific gene products. However, the correlation coefficients between levels of RNA and protein products of specific genes varied widely, and the mean correlations between the protein and corresponding RNA levels determined using the cDNA- and oligo-based microarrays were 0.25 and 0.20, respectively.
Conclusion
Significant correlations were found in one third of the examined RNA species and corresponding proteins. These results suggest that RNA profiling might provide indirect support to antibodies' specificity, since whenever a evident correlation between the RNA and protein profiles exists, this can sustain that the antibodies used in the immunoassay recognized their cognate antigens.
Publisher
Springer Science and Business Media LLC
Reference23 articles.
1. Asplund A, Gry Bjorklund M, Sundquist C, Stromberg S, Edlund K, Ostman A, Nilsson P, Ponten F, Lundeberg J: Expression profiling of microdissected cell populations selected from basal cells in normal epidermis and basal cell carcinoma. The British journal of dermatology. 2008, 158 (3): 527-538. 10.1111/j.1365-2133.2007.08418.x.
2. Dhanasekaran SM, Barrette TR, Ghosh D, Shah R, Varambally S, Kurachi K, Pienta KJ, Rubin MA, Chinnaiyan AM: Delineation of prognostic biomarkers in prostate cancer. Nature. 2001, 412 (6849): 822-826. 10.1038/35090585.
3. Mousses S, Bubendorf L, Wagner U, Hostetter G, Kononen J, Cornelison R, Goldberger N, Elkahloun AG, Willi N, Koivisto P, et al: Clinical validation of candidate genes associated with prostate cancer progression in the CWR22 model system using tissue microarrays. Cancer research. 2002, 62 (5): 1256-1260.
4. Fu N, Drinnenberg I, Kelso J, Wu JR, Paabo S, Zeng R, Khaitovich P: Comparison of protein and mRNA expression evolution in humans and chimpanzees. PLoS ONE. 2007, 2 (2): e216-10.1371/journal.pone.0000216.
5. Greenbaum D, Colangelo C, Williams K, Gerstein M: Comparing protein abundance and mRNA expression levels on a genomic scale. Genome Biol. 2003, 4 (9): 117-10.1186/gb-2003-4-9-117.
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