Evidence map›Paper›PMID 20509979›Full record

ArticleBMC genomics2010

Transcriptome analysis in non-model species: a new method for the analysis of heterologous hybridization on microarrays.

Cyril Degletagne, Céline Keime, Benjamin Rey, Marc de Dinechin, Fabien Forcheron, Paul Chuchana, Pierre Jouventin, Christian Gautier, Claude Duchamp

Abstract read
In one paragraph

Article in BMC genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

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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

11 citing papers in PubMed.

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  9. Plasticity of the myelination genomic fabric.Molecular genetics and genomics : MGG · 2012
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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

9 authors.

Cyril DegletagnePôle Rhône Alpes de Bioinformatique, Université Lyon 1, Bâtiment Gregor Mendel, 16 rue Raphaël Dubois, 69622 Villeurbanne cedex, France.
Céline Keime
Benjamin Rey
Marc de Dinechin
Fabien Forcheron
Paul Chuchana
Pierre Jouventin
Christian Gautier
Claude Duchamp

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent developments in high-throughput methods of analyzing transcriptomic profiles are promising for many areas of biology, including ecophysiology. However, although commercial microarrays are available for most common laboratory models, transcriptome analysis in non-traditional model species still remains a challenge. Indeed, the signal resulting from heterologous hybridization is low and difficult to interpret because of the weak complementarity between probe and target sequences, especially when no microarray dedicated to a genetically close species is available.

resultsWe show here that transcriptome analysis in a species genetically distant from laboratory models is made possible by using MAXRS, a new method of analyzing heterologous hybridization on microarrays. This method takes advantage of the design of several commercial microarrays, with different probes targeting the same transcript. To illustrate and test this method, we analyzed the transcriptome of king penguin pectoralis muscle hybridized to Affymetrix chicken microarrays, two organisms separated by an evolutionary distance of approximately 100 million years. The differential gene expression observed between different physiological situations computed by MAXRS was confirmed by real-time PCR on 10 genes out of 11 tested.

conclusionsMAXRS appears to be an appropriate method for gene expression analysis under heterologous hybridization conditions.

Indexed as

AnimalsGene Expression ProfilingGene Expression Regulation, DevelopmentalNucleic Acid HybridizationOceans and SeasOligonucleotide Array Sequence AnalysisPectoralis MusclesPolymerase Chain ReactionReproducibility of ResultsSpectrometry, FluorescenceSpheniscidae

Identifiers

PMID20509979
PMCPMC2901317

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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.