Evidence map›Paper›PMID 39596121›Full record

ArticleInternational journal of molecular sciences2024

Bioinformatic Multi-Strategy Profiling of Congenital Heart Defects for Molecular Mechanism Recognition.

Fabyanne Guimarães de Oliveira, João Vitor Pacheco Foletto, Yasmin Chaves Scimczak Medeiros, Lavínia Schuler-Faccini, Thayne Woycinck Kowalski

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Fabyanne Guimarães de OliveiraLaboratory of Medical Genetics and Evolution, Graduate Program in Genetics and Molecular Biology, Genetics Department, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre 91501-970, Brazil.ORCID 0000-0001-7990-7518
João Vitor Pacheco FolettoLaboratory of Medical Genetics and Evolution, Graduate Program in Genetics and Molecular Biology, Genetics Department, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre 91501-970, Brazil.
Yasmin Chaves Scimczak MedeirosTeratogen Information System (SIAT), Medical Genetics Service, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre 90035-903, Brazil.
Lavínia Schuler-FacciniLaboratory of Medical Genetics and Evolution, Graduate Program in Genetics and Molecular Biology, Genetics Department, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre 91501-970, Brazil.ORCID 0000-0002-2428-0460
Thayne Woycinck KowalskiLaboratory of Medical Genetics and Evolution, Graduate Program in Genetics and Molecular Biology, Genetics Department, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre 91501-970, Brazil.ORCID 0000-0001-5799-2272

Funding

Accord OPAS / Ministério da Saúde / Fundação Médica do RS (2178-4) SCON2020-00173Coordenação de Aperfeicoamento de Pessoal de Nível Superior 88887.834560/2023-00Fundo de Incentivo à Pesquisa e Eventos (FIPE) - Hospital de Clínicas de Porto Alegre 20190792Fundo de Incentivo à Pesquisa e Eventos (FIPE) - Hospital de Clínicas de Porto Alegre 20200174National Council for Scientific and Technological Development 150181/2023-0National Council for Scientific and Technological Development 165593/2021-0
6 · The paper itself

Abstract

Congenital heart defects (CHDs) rank among the most common birth defects, presenting diverse phenotypes. Genetic and environmental factors are critical in molding the process of cardiogenesis. However, these factors' interactions are not fully comprehended. Hence, this study aimed to identify and characterize differentially expressed genes involved in CHD development through bioinformatics pipelines. We analyzed experimental datasets available in genomic databases, using transcriptome, gene enrichment, and systems biology strategies. Network analysis based on genetic and phenotypic ontologies revealed that

Indexed as

Computational BiologyGene Regulatory NetworksHeart Defects, CongenitalGene Expression ProfilingGene OntologyHumansTranscriptomecardiogenesismicroarrayontologiesRNA-seqsystems biologytetralogy of Fallottranscriptome

Identifiers

PMID39596121
PMCPMC11594028

What OpenQuestion holds

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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.