Evidence map›Paper›PMID 34301987›Full record

ArticleScientific reports2021

Gene expression analysis method integration and co-expression module detection applied to rare glucide metabolism disorders using ExpHunterSuite.

Fernando M Jabato, José Córdoba-Caballero, Elena Rojano, Carlos Romá-Mateo, Pascual Sanz, Belén Pérez, Diana Gallego, Pedro Seoane, Juan A G Ranea, James R Perkins

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

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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

10 authors.

Fernando M JabatoDepartment of Molecular Biology and Biochemistry, University of Málaga, Bulevar Louis Pasteur 31, 29010, Málaga, Spain.
José Córdoba-CaballeroDepartment of Molecular Biology and Biochemistry, University of Málaga, Bulevar Louis Pasteur 31, 29010, Málaga, Spain.
Elena RojanoDepartment of Molecular Biology and Biochemistry, University of Málaga, Bulevar Louis Pasteur 31, 29010, Málaga, Spain.
Carlos Romá-MateoCentro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Valencia, Madrid, Málaga, Spain.
Pascual SanzCentro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Valencia, Madrid, Málaga, Spain.
Belén PérezCentro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Valencia, Madrid, Málaga, Spain.
Diana GallegoCentro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Valencia, Madrid, Málaga, Spain.
Pedro SeoaneDepartment of Molecular Biology and Biochemistry, University of Málaga, Bulevar Louis Pasteur 31, 29010, Málaga, Spain. seoanezonjic@uma.es.
Juan A G Ranea *Department of Molecular Biology and Biochemistry, University of Málaga, Bulevar Louis Pasteur 31, 29010, Málaga, Spain.
James R Perkins *Department of Molecular Biology and Biochemistry, University of Málaga, Bulevar Louis Pasteur 31, 29010, Málaga, Spain.

Funding

Suppressing glycogen storage with small molecule inhibitors as a therapeutic approach to Lafora DiseaseP01NS097197 · NINDS · UNIVERSITY OF KENTUCKY · PI GAO, TIANYAN · 2016 to 2021
$9.0M
NINDS NIH HHS P01 NS097197
6 · The paper itself

Abstract

High-throughput gene expression analysis is widely used. However, analysis is not straightforward. Multiple approaches should be applied and methods to combine their results implemented and investigated. We present methodology for the comprehensive analysis of expression data, including co-expression module detection and result integration via data-fusion, threshold based methods, and a Naïve Bayes classifier trained on simulated data. Application to rare-disease model datasets confirms existing knowledge related to immune cell infiltration and suggest novel hypotheses including the role of calcium channels. Application to simulated and spike-in experiments shows that combining multiple methods using consensus and classifiers leads to optimal results. ExpHunter Suite is implemented as an R/Bioconductor package available from https://bioconductor.org/packages/ExpHunterSuite . It can be applied to model and non-model organisms and can be run modularly in R; it can also be run from the command line, allowing scalability with large datasets. Code and reports for the studies are available from https://github.com/fmjabato/ExpHunterSuiteExamples .

Indexed as

SoftwareAlgorithmsArabidopsisBayes TheoremCalcium ChannelsGene Expression ProfilingGene Expression RegulationHumansRare DiseasesRNA-SeqCalcium Channels

Identifiers

PMID34301987
PMCPMC8302605

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.