Evidence map›Paper›PMID 21731455›Full record

ArticleInternational journal of molecular sciences2011

Global transcriptomic profiling using small volumes of whole blood: a cost-effective method for translational genomic biomarker identification in small animals.

Meagan M Fricano, Amy C Ditewig, Paul M Jung, Michael J Liguori, Eric A G Blomme, Yi Yang

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

6 citing papers in PubMed.

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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

6 authors.

Meagan M FricanoGlobal Pharmaceutical Research and Development, Abbott Laboratories, 100 Abbott Park Road, Abbott Park, Il 60064, USA; E-Mails: meagan.fricano@abbott.com (M.M.F.); amy.ditewig@abbott.com (A.C.D.); paul.jung@abbott.com (P.M.J.); michael.liguori@abbott.com (M.J.L.); eric.blomme@abbott.com (E.A.G.B.).
Amy C Ditewig
Paul M Jung
Michael J Liguori
Eric A G Blomme
Yi Yang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood is an ideal tissue for the identification of novel genomic biomarkers for toxicity or efficacy. However, using blood for transcriptomic profiling presents significant technical challenges due to the transcriptomic changes induced by ex vivo handling and the interference of highly abundant globin mRNA. Most whole blood RNA stabilization and isolation methods also require significant volumes of blood, limiting their effective use in small animal species, such as rodents. To overcome these challenges, a QIAzol-based RNA stabilization and isolation method (QSI) was developed to isolate sufficient amounts of high quality total RNA from 25 to 500 μL of rat whole blood. The method was compared to the standard PAXgene Blood RNA System using blood collected from rats exposed to saline or lipopolysaccharide (LPS). The QSI method yielded an average of 54 ng total RNA per μL of rat whole blood with an average RNA Integrity Number (RIN) of 9, a performance comparable with the standard PAXgene method. Total RNA samples were further processed using the NuGEN Ovation Whole Blood Solution system and cDNA was hybridized to Affymetrix Rat Genome 230 2.0 Arrays. The microarray QC parameters using RNA isolated with the QSI method were within the acceptable range for microarray analysis. The transcriptomic profiles were highly correlated with those using RNA isolated with the PAXgene method and were consistent with expected LPS-induced inflammatory responses. The present study demonstrated that the QSI method coupled with NuGEN Ovation Whole Blood Solution system is cost-effective and particularly suitable for transcriptomic profiling of minimal volumes of whole blood, typical of those obtained with small animal species.

Indexed as

AnimalsBiomarkersCluster AnalysisGene Expression ProfilingInflammationLipopolysaccharidesMaleOligonucleotide Array Sequence AnalysisRatsRats, Sprague-DawleyRNARNA StabilitySignal TransductionTranscriptomeBiomarkersLipopolysaccharidesRNAbiomarkerbloodinflammationtranscriptomics

Identifiers

PMID21731455
PMCPMC3127131

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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.