Evidence map›Paper›PMID 15560851›Full record

ArticleReproductive biology and endocrinology : RB&E2004

cDNA microarray analysis of bovine embryo gene expression profiles during the pre-implantation period.

Koichi Ushizawa, Chandana B Herath, Kanako Kaneyama, Satoshi Shiojima, Akira Hirasawa, Toru Takahashi, Kei Imai, Kazuhiko Ochiai, Tomoyuki Tokunaga, Yukio Tsunoda and 2 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Reproductive biology and endocrinology : RB&E, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.1field-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

21 citing papers in PubMed, 94 citations in OpenAlex.

  1. Article
  2. Article
  3. Pre-Implantation Bovine Embryo Evaluation-From Optics to Omics and Beyond.Animals : an open access journal from MDPI · 2023
    Review
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  6. Transcriptome of D14 in vivo x in vitro bovine embryos: is there any difference?In vitro cellular & developmental biology. Animal · 2021
    Article
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  9. Differential neutrophil gene expression in early bovine pregnancy.Reproductive biology and endocrinology : RB&E · 2013
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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

12 authors at 5 institutions in 1 country.

Koichi UshizawaReproductive Biology and Technology Laboratory, Developmental Biology Department, National Institute of Agrobiological Sciences, 2 Ikenodai, Tsukuba, Ibaraki 305-8602, Japan. ushizawa@affrc.go.jp <ushizawa@affrc.go.jp>
Chandana B Herath
Kanako Kaneyama
Satoshi Shiojima
Akira Hirasawa
Toru Takahashi
Kei Imai
Kazuhiko Ochiai
Tomoyuki Tokunaga
Yukio Tsunoda
Gozoh Tsujimoto
Kazuyoshi Hashizume
Institute of Agrobiological Sciences · JPKyoto University · JPIwate University · JPKindai University · JPNational Livestock Breeding Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAfter fertilization, embryo development involves differentiation, as well as development of the fetal body and extra-embryonic tissues until the moment of implantation. During this period various cellular and molecular changes take place with a genetic origin, e.g. the elongation of embryonic tissues, cell-cell contact between the mother and the embryo and placentation. To identify genetic profiles and search for new candidate molecules involved during this period, embryonic gene expression was analyzed with a custom designed utero-placental complementary DNA (cDNA) microarray.

methodsBovine embryos on days 7, 14 and 21, extra-embryonic membranes on day 28 and fetuses on days 28 were collected to represent early embryo, elongating embryo, pre-implantation embryo, post-implantation extra-embryonic membrane and fetus, respectively. Gene expression at these different time points was analyzed using our cDNA microarray. Two clustering algorithms such as k-means and hierarchical clustering methods identified the expression patterns of differentially expressed genes across pre-implantation period. Novel candidate genes were confirmed by real-time RT-PCR.

resultsIn total, 1,773 individual genes were analyzed by complete k-means clustering. Comparison of day 7 and day 14 revealed most genes increased during this period, and a small number of genes exhibiting altered expression decreased as gestation progressed. Clustering analysis demonstrated that trophoblast-cell-specific molecules such as placental lactogens (PLs), prolactin-related proteins (PRPs), interferon-tau, and adhesion molecules apparently all play pivotal roles in the preparation needed for implantation, since their expression was remarkably enhanced during the pre-implantation period. The hierarchical clustering analysis and RT-PCR data revealed new functional roles for certain known genes (dickkopf-1, NPM, etc) as well as novel candidate genes (AW464053, AW465434, AW462349, AW485575) related to already established trophoblast-specific genes such as PLs and PRPs.

conclusionsA large number of genes in extra-embryonic membrane increased up to implantation and these profiles provide information fundamental to an understanding of extra-embryonic membrane differentiation and development. Genes in significant expression suggest novel molecules in trophoblast differentiation.

Indexed as

AnimalsCattleCluster AnalysisDNA, ComplementaryEmbryo, MammalianEmbryonic DevelopmentFemaleFetusGene Expression ProfilingGene Expression Regulation, DevelopmentalGenesGestational AgeMembranesMicroarray AnalysisNucleic Acid Amplification TechniquesDNA, Complementary

Identifiers

PMID15560851
PMCPMC535809
OpenAlexW2156310826

What OpenQuestion holds

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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.