Evidence map›Paper›PMID 19660143›Full record

ArticleBMC genomics2009

Correlations between RNA and protein expression profiles in 23 human cell lines.

Marcus Gry, Rebecca Rimini, Sara Strömberg, Anna Asplund, Fredrik Pontén, Mathias Uhlén, Peter Nilsson

Abstract read
In one paragraph

Article in BMC genomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 283 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
283citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

283 citing papers in PubMed, 1 synthesis or guideline pooled it.

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223 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Marcus GryDepartment of Proteomics, School of Biotechnology, AlbaNova University Center, KTH Royal Institute of Technology, Stockholm, Sweden. marcus.gry@genpat.uu.se
Rebecca Rimini
Sara Strömberg
Anna Asplund
Fredrik Pontén
Mathias Uhlén
Peter Nilsson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

resultsA 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.

conclusionSignificant 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.

Indexed as

Gene Expression ProfilingCell LineHumansOligonucleotide Array Sequence AnalysisProtein Array AnalysisProteinsReverse Transcriptase Polymerase Chain ReactionRNAProteinsRNA

Identifiers

PMID19660143
PMCPMC2728742

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.