Evidence map›Paper›PMID 23593398›Full record

ArticlePloS one2013

Comparative RNA-Seq and microarray analysis of gene expression changes in B-cell lymphomas of Canis familiaris.

Marie Mooney, Jeffrey Bond, Noel Monks, Emily Eugster, David Cherba, Pamela Berlinski, Steve Kamerling, Keith Marotti, Heather Simpson, Tony Rusk and 5 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 pooled it
4.6field-weighted citation impact, top 4% of its field
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

39 citing papers in PubMed, 2 syntheses or guidelines pooled it, 58 citations in OpenAlex.

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  9. Frontiers in oncology · 2023
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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

15 authors at 5 institutions in 1 country.

Marie MooneyLaboratory of Translational Medicine, Van Andel Research Institute, Grand Rapids, Michigan, United States of America.
Jeffrey Bond
Noel Monks
Emily Eugster
David Cherba
Pamela Berlinski
Steve Kamerling
Keith Marotti
Heather Simpson
Tony Rusk
Waibhav Tembe
Christophe Legendre
Hollie Benson
Winnie Liang
Craig Paul Webb
Van Andel Institute · USTranslational Genomics Research Institute · USMichigan United · USPfizer (United States) · USUniversity of Vermont · US

Funding

Highly Parallel Supercomputing for Translational ResearchS10RR025056 · NCRR · TRANSLATIONAL GENOMICS RESEARCH INST · PI SUH, EDWARD B · 2008 to 2008
$2.0M
NCRR NIH HHS 1S10RR25056-01NCRR NIH HHS S10 RR025056
6 · The paper itself

Abstract

Comparative oncology is a developing research discipline that is being used to assist our understanding of human neoplastic diseases. Companion canines are a preferred animal oncology model due to spontaneous tumor development and similarity to human disease at the pathophysiological level. We use a paired RNA sequencing (RNA-Seq)/microarray analysis of a set of four normal canine lymph nodes and ten canine lymphoma fine needle aspirates to identify technical biases and variation between the technologies and convergence on biological disease pathways. Surrogate Variable Analysis (SVA) provides a formal multivariate analysis of the combined RNA-Seq/microarray data set. Applying SVA to the data allows us to decompose variation into contributions associated with transcript abundance, differences between the technology, and latent variation within each technology. A substantial and highly statistically significant component of the variation reflects transcript abundance, and RNA-Seq appeared more sensitive for detection of transcripts expressed at low levels. Latent random variation among RNA-Seq samples is also distinct in character from that impacting microarray samples. In particular, we observed variation between RNA-Seq samples that reflects transcript GC content. Platform-independent variable decomposition without a priori knowledge of the sources of variation using SVA represents a generalizable method for accomplishing cross-platform data analysis. We identified genes differentially expressed between normal lymph nodes of disease free dogs and a subset of the diseased dogs diagnosed with B-cell lymphoma using each technology. There is statistically significant overlap between the RNA-Seq and microarray sets of differentially expressed genes. Analysis of overlapping genes in the context of biological systems suggests elevated expression and activity of PI3K signaling in B-cell lymphoma biopsies compared with normal biopsies, consistent with literature describing successful use of drugs targeting this pathway in lymphomas.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticAnimalsBase CompositionCluster AnalysisDogsGenetic VariationLymphoma, B-CellOligonucleotide Array Sequence AnalysisSignal Transduction

Identifiers

PMID23593398
PMCPMC3617154
OpenAlexW2026621669

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.