Evidence map›Paper›PMID 33652917›Full record

ArticleInternational journal of molecular sciences2021

A Bioinformatics Model of Human Diseases on the Basis of Differentially Expressed Genes (of Domestic Versus Wild Animals) That Are Orthologs of Human Genes Associated with Reproductive-Potential Changes.

Gennady Vasiliev, Irina Chadaeva, Dmitry Rasskazov, Petr Ponomarenko, Ekaterina Sharypova, Irina Drachkova, Anton Bogomolov, Ludmila Savinkova, Mikhail Ponomarenko, Nikolay Kolchanov and 3 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 7 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

13 authors at 2 institutions in 1 country.

Gennady VasilievNovosibirsk State University, 630090 Novosibirsk, Russia.
Irina ChadaevaInstitute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia.ORCID 0000-0002-2724-5441
Dmitry RasskazovInstitute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia.
Petr PonomarenkoInstitute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia.
Ekaterina SharypovaInstitute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia.
Irina DrachkovaInstitute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia.
Anton BogomolovInstitute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia.
Ludmila SavinkovaInstitute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia.
Mikhail PonomarenkoInstitute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia.ORCID 0000-0003-1663-318X
Nikolay KolchanovInstitute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia.
Alexander OsadchukInstitute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia.ORCID 0000-0002-4210-7354
Dmitry OshchepkovInstitute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia.
Ludmila OsadchukInstitute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia.ORCID 0000-0002-7597-9204
Institute of Cytology and Genetics · RUNovosibirsk State University · RU

Funding

Russian Federal Excellence Programme 5-100Russian Federal Science & Technology Program the Development of Genetic TechnologiesRussian Foundation for Basic Research #18-34-00496Russian Government #0324-2019-0040-С-01Russian Science Foundation #19-15-00075
6 · The paper itself

Abstract

Earlier, after our bioinformatic analysis of single-nucleotide polymorphisms of TATA-binding protein-binding sites within gene promoters on the human Y chromosome, we suggested that human reproductive potential diminishes during self-domestication. Here, we implemented bioinformatics models of human diseases using animal in vivo genome-wide RNA-Seq data to compare the effect of co-directed changes in the expression of orthologous genes on human reproductive potential and during the divergence of domestic and wild animals from their nearest common ancestor (NCA). For example, serotonin receptor 3A (

Indexed as

Computational BiologyReproductionTranscriptomeAnimalsAnimals, WildDisease Models, AnimalDomesticationFemaleGuinea PigsHumansMaleModels, GeneticReceptors, Serotonin, 5-HT3Receptors, Serotonin, 5-HT3animal model of human diseasedifferentially expressed genedomesticationin vivo verificationreproductive potentialRNA-seq

Identifiers

PMID33652917
PMCPMC7956675
OpenAlexW3133844293

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.