Evidence map›Paper›PMID 25269019›Full record

ArticlePloS one2014

Expression profile of genes as indicators of developmental competence and quality of in vitro fertilization and somatic cell nuclear transfer bovine embryos.

Maria Jesús Cánepa, Nicolás Matías Ortega, Melisa Carolina Monteleone, Nicolas Mucci, German Gustavo Kaiser, Marcela Brocco, Adrián Mutto

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

7 authors at 2 institutions in 1 country.

Maria Jesús CánepaLaboratorio de Biotecnologías Reproductivas y Mejoramiento Genético Animal, Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, General San Martín, Prov. de Buenos Aires, Argentina.
Nicolás Matías OrtegaLaboratorio de Biotecnologías Reproductivas y Mejoramiento Genético Animal, Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, General San Martín, Prov. de Buenos Aires, Argentina.
Melisa Carolina MonteleoneLaboratorio de Biotecnologías Reproductivas y Mejoramiento Genético Animal, Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, General San Martín, Prov. de Buenos Aires, Argentina.
Nicolas MucciLaboratorio de Biotecnología de la Reproducción, Instituto Nacional de Tecnología Agropecuaria, INTA Balcarce, Prov. de Buenos Aires, Argentina.
German Gustavo KaiserLaboratorio de Biotecnología de la Reproducción, Instituto Nacional de Tecnología Agropecuaria, INTA Balcarce, Prov. de Buenos Aires, Argentina.
Marcela BroccoLaboratorio de Biotecnologías Reproductivas y Mejoramiento Genético Animal, Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, General San Martín, Prov. de Buenos Aires, Argentina.
Adrián MuttoLaboratorio de Biotecnologías Reproductivas y Mejoramiento Genético Animal, Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, General San Martín, Prov. de Buenos Aires, Argentina.
National University of General San Martín · ARNational Agricultural Technology Institute · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reproductive biotechnologies such as in vitro fertilization (IVF) and somatic cell nuclear transfer (SCNT) enable improved reproductive efficiency of animals. However, the birth rate of in vitro-derived embryos still lags behind that of their in vivo counterparts. Thus, it is critical to develop an accurate evaluation and prediction system of embryo competence, both for commercial purposes and for scientific research. Previous works have demonstrated that in vitro culture systems induce alterations in the relative abundance (RA) of diverse transcripts and thus compromise embryo quality. The aim of this work was to analyze the RA of a set of genes involved in cellular stress (heat shock protein 70-kDa, HSP70), endoplasmic reticulum (ER) stress (immunoglobulin heavy chain binding protein, Bip; proteasome subunit β5, PSMB5) and apoptosis (BCL-2 associated X protein, Bax; cysteine aspartate protease-3, Caspase-3) in bovine blastocysts produced by IVF or SCNT and compare it with that of their in vivo counterparts. Poly (A) + mRNA was isolated from three pools of 10 blastocysts per treatment and analyzed by real-time RT-PCR. The RA of three of the stress indicators analyzed (Bax, PSMB5 and Bip) was significantly increased in SCNT embryos as compared with that of in vivo-derived blastocysts. No significant differences were found in the RA of HSP70 and Caspase-3 gene transcripts. This study could potentially complement morphological analyses in the development of an effective and accurate technique for the diagnosis of embryo quality, ultimately aiding to improve the efficiency of assisted reproductive techniques (ART).

Indexed as

Fertilization in VitroGene Expression Regulation, DevelopmentalNuclear Transfer TechniquesAnimalsbcl-2-Associated X ProteinBiomarkersBlastocystCaspase 3CattleCulture MediaEmbryo Culture TechniquesEmbryonic DevelopmentEndoplasmic Reticulum Chaperone BiPFemaleGene Expression ProfilingHeat-Shock Proteinsbcl-2-Associated X ProteinBiomarkersCaspase 3Culture MediaEndoplasmic Reticulum Chaperone BiPHeat-Shock ProteinsHSP70 Heat-Shock ProteinsProteasome Endopeptidase Complex

Identifiers

PMID25269019
PMCPMC4182429
OpenAlexW2077664470

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.