Evidence map›Paper›PMID 26848775›Full record

ArticleOncotarget2016

Modular transcriptional repertoire and MicroRNA target analyses characterize genomic dysregulation in the thymus of Down syndrome infants.

Carlos Alberto Moreira-Filho, Silvia Yumi Bando, Fernanda Bernardi Bertonha, Filipi Nascimento Silva, Luciano da Fontoura Costa, Leandro Rodrigues Ferreira, Glaucio Furlanetto, Paulo Chacur, Maria Claudia Nogueira Zerbini, Magda Carneiro-Sampaio

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
  2. Role of cystathionine-β-synthase and hydrogen sulfide in down syndrome.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
    Review
  3. Synergistic roles of NFATc1 and c-Jun in immunomodulation.Biochemistry and biophysics reports · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Inborn Errors of Adaptive Immunity in Down Syndrome.Journal of clinical immunology · 2020
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
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 4 institutions in 1 country.

Carlos Alberto Moreira-FilhoDepartamento de Pediatria, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brasil.
Silvia Yumi BandoDepartamento de Pediatria, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brasil.
Fernanda Bernardi BertonhaDepartamento de Pediatria, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brasil.
Filipi Nascimento SilvaInstituto de Física de São Carlos, Universidade de São Paulo, São Carlos, SP, Brasil.
Luciano da Fontoura CostaInstituto de Física de São Carlos, Universidade de São Paulo, São Carlos, SP, Brasil.
Leandro Rodrigues FerreiraDepartamento de Pediatria, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brasil.
Glaucio FurlanettoInstituto Dante Pazzanese de Cardiologia, São Paulo, SP, Brasil.
Paulo ChacurInstituto Dante Pazzanese de Cardiologia, São Paulo, SP, Brasil.
Maria Claudia Nogueira ZerbiniDepartamento de Patologia, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brasil.
Magda Carneiro-SampaioDepartamento de Pediatria, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brasil.
Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRInstituto Dante Pazzanese de Cardiologia · BRUniversidade Federal de São Carlos · BRUniversidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trisomy 21-driven transcriptional alterations in human thymus were characterized through gene coexpression network (GCN) and miRNA-target analyses. We used whole thymic tissue--obtained at heart surgery from Down syndrome (DS) and karyotipically normal subjects (CT)--and a network-based approach for GCN analysis that allows the identification of modular transcriptional repertoires (communities) and the interactions between all the system's constituents through community detection. Changes in the degree of connections observed for hierarchically important hubs/genes in CT and DS networks corresponded to community changes. Distinct communities of highly interconnected genes were topologically identified in these networks. The role of miRNAs in modulating the expression of highly connected genes in CT and DS was revealed through miRNA-target analysis. Trisomy 21 gene dysregulation in thymus may be depicted as the breakdown and altered reorganization of transcriptional modules. Leading networks acting in normal or disease states were identified. CT networks would depict the "canonical" way of thymus functioning. Conversely, DS networks represent a "non-canonical" way, i.e., thymic tissue adaptation under trisomy 21 genomic dysregulation. This adaptation is probably driven by epigenetic mechanisms acting at chromatin level and through the miRNA control of transcriptional programs involving the networks' high-hierarchy genes.

Indexed as

Gene Expression RegulationGene Regulatory NetworksBiomarkersDown SyndromeFemaleGene Expression ProfilingGenomicsHigh-Throughput Nucleotide SequencingHumansInfantMaleMicroRNAsPrognosisReal-Time Polymerase Chain ReactionReverse Transcriptase Polymerase Chain ReactionRNA, MessengerBiomarkersMicroRNAsRNA, MessengerDown syndromegene coexpression networkmicroRNAmodular transcriptional repertoirePathology Sectionthymus

Identifiers

PMID26848775
PMCPMC4884935
OpenAlexW2282533933

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.