Evidence map›Paper›PMID 38546191›Full record

ArticleeLife2024

voyAGEr, a free web interface for the analysis of age-related gene expression alterations in human tissues.

Arthur L Schneider, Rita Martins-Silva, Alexandre Kaizeler, Nuno Saraiva-Agostinho, Nuno L Barbosa-Morais

Open access · goldAbstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 17 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Arthur L Schneider *Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.
Rita Martins-Silva *Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.ORCID https://orcid.org/0000-0002-1067-7993
Alexandre Kaizeler *Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.ORCID https://orcid.org/0000-0002-9117-6073
Nuno Saraiva-AgostinhoInstituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.ORCID https://orcid.org/0000-0002-5549-105X
Nuno L Barbosa-MoraisInstituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.ORCID https://orcid.org/0000-0002-1215-0538
European Bioinformatics Institute · GBUniversity of Lisbon · PT

Funding

European Molecular Biology Organization Installation Grant 3057European Regional Development Fund GenomePT project POCI-01-0145-FEDER-022184Fundação para a Ciência e a Tecnologia CEEC Individual Assistant Researcher contract CEECIND/00436/2018Fundação para a Ciência e a Tecnologia FCT Investigator Starting Grant IF/00595/2014Fundação para a Ciência e a Tecnologia GenomePT project POCI-01-0145-FEDER-022184Fundação para a Ciência e a Tecnologia PhD Studentship SFRH/BD/131312/2017Fundação para a Ciência e a Tecnologia PhD Studentship UI/BD/153363/2022Fundação para a Ciência e a Tecnologia PhD Studentship UI/BD/153368/2022Fundação para a Ciência e a Tecnologia Project LA/P/0082/2020Fundação para a Ciência e a Tecnologia Project UIDP/50005/2020Horizon 2020 Framework Programme Twinning grant RiboMed 857119
6 · The paper itself

Abstract

We herein introduce voyAGEr, an online graphical interface to explore age-related gene expression alterations in 49 human tissues. voyAGEr offers a visualisation and statistical toolkit for the finding and functional exploration of sex- and tissue-specific transcriptomic changes with age. In its conception, we developed a novel bioinformatics pipeline leveraging RNA sequencing data, from the GTEx project, encompassing more than 900 individuals. voyAGEr reveals transcriptomic signatures of the known asynchronous ageing between tissues, allowing the observation of tissue-specific age periods of major transcriptional changes, associated with alterations in different biological pathways, cellular composition, and disease conditions. Notably, voyAGEr was created to assist researchers with no expertise in bioinformatics, providing a supportive framework for elaborating, testing and refining their hypotheses on the molecular nature of human ageing and its association with pathologies, thereby also aiding in the discovery of novel therapeutic targets. voyAGEr is freely available at https://compbio.imm.medicina.ulisboa.pt/app/voyAGEr.

Indexed as

Gene Expression ProfilingTranscriptomeComputational BiologyGene Expression RegulationHumansSequence Analysis, RNAageingchromosomescomputational biologygene expressiongene expression profilinghumansystems biologytranscriptome

Identifiers

PMID38546191
PMCPMC10977969
OpenAlexW4378838908

What OpenQuestion holds

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LicenceCC BY
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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.