Evidence map›Paper›PMID 18501003›Full record

ArticleBMC genomics2008

Correlation of mRNA and protein levels: cell type-specific gene expression of cluster designation antigens in the prostate.

Laura E Pascal, Lawrence D True, David S Campbell, Eric W Deutsch, Michael Risk, Ilsa M Coleman, Lillian J Eichner, Peter S Nelson, Alvin Y Liu

Abstract read
In one paragraph

Article in BMC genomics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 154 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
154citing 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

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

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94 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

9 authors.

Laura E PascalDepartment of Urology, University of Washington, Seattle WA 98195, USA. lpascal@systemsbiology.org
Lawrence D True
David S Campbell
Eric W Deutsch
Michael Risk
Ilsa M Coleman
Lillian J Eichner
Peter S Nelson
Alvin Y Liu

Funding

Quantitative Systems BiologyP50GM076547 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI BALIGA, NITIN S · 2006 to 2016
$30.6M
Transmembrane Proteases and Prostate CarcinogenesisP01CA085859 · NCI · UNIVERSITY OF WASHINGTON · PI VESSELLA, ROBERT LOUIS · 2002 to 2013
$21.2M
The Early Detection Research Network: Biomarker Developmental LaboratoriesU01CA111244 · NCI · UNIVERSITY OF WASHINGTON · PI LIU, ALVIN Y · 2004 to 2015
$4.1M
Urologic Epithelial Stem CellsU01DK063630 · NIDDK · UNIVERSITY OF WASHINGTON · PI LIU, ALVIN Y · 2002 to 2004
$2.4M
Development of a Urological CD Cell Typing SystemR01DK069690 · NIDDK · FRED HUTCHINSON CANCER RESEARCH CENTER · PI NELSON, PETER S · 2006 to 2009
$1.3M
CD Expression in Prostate CancerR21CA098699 · NCI · UNIVERSITY OF WASHINGTON · PI LIU, ALVIN Y · 2003 to 2004
$301k
NCI NIH HHS CA111244NCI NIH HHS CA85859NCI NIH HHS CA98699NCI NIH HHS P01 CA085859NCI NIH HHS R21 CA098699NCI NIH HHS U01 CA111244NIDDK NIH HHS DK069690NIDDK NIH HHS DK63630NIDDK NIH HHS R01 DK069690NIDDK NIH HHS U01 DK063630NIGMS NIH HHS P50 GM076547PHS HHS PM50 GMO76547
6 · The paper itself

Abstract

background: Expression levels of mRNA and protein by cell types exhibit a range of correlations for different genes. In this study, we compared levels of mRNA abundance for several cluster designation (CD) genes determined by gene arrays using magnetic sorted and laser-capture microdissected human prostate cells with levels of expression of the respective CD proteins determined by immunohistochemical staining in the major cell types of the prostate - basal epithelial, luminal epithelial, stromal fibromuscular, and endothelial - and for prostate precursor/stem cells and prostate carcinoma cells. Immunohistochemical stains of prostate tissues from more than 50 patients were scored for informative CD antigen expression and compared with cell-type specific transcriptomes.

results: Concordance between gene and protein expression findings based on 'present' vs. 'absent' calls ranged from 46 to 68%. Correlation of expression levels was poor to moderate (Pearson correlations ranged from 0 to 0.63). Divergence between the two data types was most frequently seen for genes whose array signals exceeded background (> 50) but lacked immunoreactivity by immunostaining. This could be due to multiple factors, e.g. low levels of protein expression, technological sensitivities, sample processing, probe set definition or anatomical origin of tissue and actual biological differences between transcript and protein abundance.

conclusion: Agreement between these two very different methodologies has great implications for their respective use in both molecular studies and clinical trials employing molecular biomarkers.

Indexed as

Adult Stem CellsAntigens, CDCell SeparationEndothelial CellsEpithelial CellsGene ExpressionGene Expression ProfilingHumansImmunohistochemistryMaleOligonucleotide Array Sequence AnalysisProstateProstatic NeoplasmsRNA, MessengerRNA, NeoplasmStromal CellsAntigens, CDRNA, MessengerRNA, Neoplasm

Identifiers

PMID18501003
PMCPMC2413246

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.