Evidence map›Paper›PMID 28865301›Full record

ArticleNeoplasia (New York, N.Y.)2017

Misidentified Human Gene Functions with Mouse Models: The Case of the Retinoblastoma Gene Family in Senescence.

Nicola Alessio, Stefania Capasso, Angela Ferone, Giovanni Di Bernardo, Marilena Cipollaro, Fiorina Casale, Gianfranco Peluso, Antonio Giordano, Umberto Galderisi

Open access · goldAbstract read
In one paragraph

Article in Neoplasia (New York, N.Y.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.0field-weighted citation impact, top 11% 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

26 citing papers in PubMed, 47 citations in OpenAlex.

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  11. p53 signaling in cancer progression and therapy.Cancer cell international · 2021
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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

9 authors at 3 institutions in 2 countries.

Nicola AlessioDepartment of Experimental Medicine, Biotechnology and Molecular Biology Section, University of Campania "Luigi Vanvitelli", Naples, Italy.
Stefania CapassoDepartment of Experimental Medicine, Biotechnology and Molecular Biology Section, University of Campania "Luigi Vanvitelli", Naples, Italy.
Angela FeroneDepartment of Experimental Medicine, Biotechnology and Molecular Biology Section, University of Campania "Luigi Vanvitelli", Naples, Italy.
Giovanni Di BernardoDepartment of Experimental Medicine, Biotechnology and Molecular Biology Section, University of Campania "Luigi Vanvitelli", Naples, Italy.
Marilena CipollaroDepartment of Experimental Medicine, Biotechnology and Molecular Biology Section, University of Campania "Luigi Vanvitelli", Naples, Italy.
Fiorina CasaleDipartimento della Donna, del Bambino e di Chirurgia Generale e Specialistica, University of Campania "Luigi Vanvitelli", Naples, Italy.
Gianfranco PelusoInstitute of Bioscience and Bioresources, CNR, Naples, Italy.
Antonio GiordanoSbarro Institute for Cancer Research and Molecular Medicine and Department of Biology, College of Science and Technology, Temple University, Philadelphia PA; Department of Medicine, Surgery & Neuroscience, University of Siena, Siena, Italy.
Umberto GalderisiSbarro Institute for Cancer Research and Molecular Medicine and Department of Biology, College of Science and Technology, Temple University, Philadelphia PA; Department of Experimental Medicine, Biotechnology and Molecular Biology Section, University of Campania "Luigi Vanvitelli", Naples, Italy; Institute of Bioscience and Bioresources, CNR, Naples, Italy. Electronic address: tud23058@temple.edu.
University of Campania "Luigi Vanvitelli" · ITInstitute of Biosciences and Bioresources · ITTemple University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although mice models rank among the most widely used tools for understanding human genetics, biology, and diseases, differences between orthologous genes among species as close as mammals are possible, particularly in orthologous gene pairs in which one or more paralogous (i.e., duplicated) genes appear in the genomes of the species. Duplicated genes can possess overlapping functions and compensate for each other. The retinoblastoma gene family demonstrates typical composite functionality in its three member genes (i.e., RB1, RB2/P130, and P107), all of which participate in controlling the cell cycle and associated phenomena, including proliferation, quiescence, apoptosis, senescence, and cell differentiation. We analyzed the role of the retinoblastoma gene family in regulating senescence in mice and humans. Silencing experiments with each member of the gene family in mesenchymal stromal cells (MSCs) and fibroblasts from mouse and human tissues demonstrated that RB1 may be indispensable for senescence in mouse cells, but not in human ones, as an example of species specificity. Furthermore, although RB2/P130 seems to be implicated in maintaining human cell senescence, the function of RB1 within any given species might differ by cell type, as an example of cell specificity. For instance, silencing RB1 in mouse fibroblasts induced a reduced senescence not observed in mouse MSCs. Our findings could be useful as a general paradigm of cautions to take when inferring the role of human genes analyzed in animal studies and when examining the role of the retinoblastoma gene family in detail.

Indexed as

AnimalsCells, CulturedCellular SenescenceDisease Models, AnimalFibroblastsGene Expression Regulation, NeoplasticGene SilencingGenetic Association StudiesHumansMesenchymal Stem CellsMiceMice, KnockoutMultigene FamilyRetinoblastoma ProteinRNA Processing, Post-TranscriptionalRNA, Small InterferingRetinoblastoma ProteinRNA, Small Interfering

Identifiers

PMID28865301
PMCPMC5577395
OpenAlexW2753746371

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.