Evidence map›Paper›PMID 25880556›Full record

ArticleBMC genomics2015

Identification of ncRNAs as potential therapeutic targets in multiple sclerosis through differential ncRNA - mRNA network analysis.

Haritz Irizar, Maider Muñoz-Culla, Matías Sáenz-Cuesta, Iñaki Osorio-Querejeta, Lucía Sepúlveda, Tamara Castillo-Triviño, Alvaro Prada, Adolfo Lopez de Munain, Javier Olascoaga, David Otaegui

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

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  8. Noncoding RNAs: functional regulatory factors in tomato fruit ripening.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Review
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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 at 2 institutions in 1 country.

Haritz IrizarMultiple Sclerosis group, Biodonostia Health Research Institute, Paseo Dr. Begiristain s/n, San Sebastián, 20001, Spain. haritz.irizar@biodonostia.org.
Maider Muñoz-CullaMultiple Sclerosis group, Biodonostia Health Research Institute, Paseo Dr. Begiristain s/n, San Sebastián, 20001, Spain. maider.munoz@biodonostia.org.
Matías Sáenz-CuestaMultiple Sclerosis group, Biodonostia Health Research Institute, Paseo Dr. Begiristain s/n, San Sebastián, 20001, Spain. matias.saenz@biodonostia.org.
Iñaki Osorio-QuerejetaMultiple Sclerosis group, Biodonostia Health Research Institute, Paseo Dr. Begiristain s/n, San Sebastián, 20001, Spain. inaki.osorio@biodonostia.org.
Lucía SepúlvedaMultiple Sclerosis group, Biodonostia Health Research Institute, Paseo Dr. Begiristain s/n, San Sebastián, 20001, Spain. lucia.sepulveda@biodonostia.org.
Tamara Castillo-TriviñoMultiple Sclerosis group, Biodonostia Health Research Institute, Paseo Dr. Begiristain s/n, San Sebastián, 20001, Spain. tamara.castillotrivino@osakidetza.net.
Alvaro PradaMultiple Sclerosis group, Biodonostia Health Research Institute, Paseo Dr. Begiristain s/n, San Sebastián, 20001, Spain. alvarojose.pradainurrategi@biodonostia.org.
Adolfo Lopez de MunainBiodonostia Health Research Institute, San Sebastián, Spain. Spainadolfojose.lopezdemunainarregui@osakidetza.net.
Javier OlascoagaMultiple Sclerosis group, Biodonostia Health Research Institute, Paseo Dr. Begiristain s/n, San Sebastián, 20001, Spain. javier.olascoagaurtaza@osakidetza.net.
David OtaeguiMultiple Sclerosis group, Biodonostia Health Research Institute, Paseo Dr. Begiristain s/n, San Sebastián, 20001, Spain. david.otaegui@biodonostia.org.
Biogipuzkoa Health Research Institute · ESSpanish Multiple Sclerosis Network · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral studies have revealed a potential role for both small nucleolar RNAs (snoRNAs) and microRNAs (miRNAs) in the physiopathology of relapsing-remitting multiple sclerosis (RRMS). This potential implication has been mainly described through differential expression studies. However, it has been suggested that, in order to extract additional information from large-scale expression experiments, differential expression studies must be complemented with differential network studies. Thus, the present work is aimed at the identification of potential therapeutic ncRNA targets for RRMS through differential network analysis of ncRNA - mRNA coexpression networks. ncRNA - mRNA coexpression networks have been constructed from both selected ncRNA (specifically miRNAs, snoRNAs and sdRNAs) and mRNA large-scale expression data obtained from 22 patients in relapse, the same 22 patients in remission and 22 healthy controls. Condition-specific (relapse, remission and healthy) networks have been built and compared to identify the parts of the system most affected by perturbation and aid the identification of potential therapeutic targets among the ncRNAs.

resultsAll the coexpression networks we built present a scale-free topology and many snoRNAs are shown to have a prominent role in their architecture. The differential network analysis (relapse vs. remission vs. controls' networks) has revealed that, although both network topology and the majority of the genes are maintained, few ncRNA - mRNA links appear in more than one network. We have selected as potential therapeutic targets the ncRNAs that appear in the disease-specific network and were found to be differentially expressed in a previous study.

conclusionsOur results suggest that the diseased state of RRMS has a strong impact on the ncRNA - mRNA network of peripheral blood leukocytes, as a massive rewiring of the network happens between conditions. Our findings also indicate that the role snoRNAs have in targeted gene silencing is a widespread phenomenon. Finally, among the potential therapeutic target ncRNAs, SNORA40 seems to be the most promising candidate.

Indexed as

Gene Regulatory NetworksAdultFemaleGene SilencingHumansLeukocytesMaleMicroRNAsMiddle AgedMultiple SclerosisRecurrenceRNA, MessengerRNA, Small NucleolarRNA, UntranslatedMicroRNAsRNA, MessengerRNA, Small NucleolarRNA, Untranslated

Identifiers

PMID25880556
PMCPMC4391585
OpenAlexW1975482219

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.