Evidence map›Paper›PMID 28239559›Full record

ArticleJournal of reproductive health and medicine2016

Gene profiling the window of implantation: Microarray analyses from human and rodent models.

Jennifer L Herington, Yan Guo, Jeff Reese, Bibhash C Paria

Abstract read
In one paragraph

Article in Journal of reproductive health and medicine, 2016. 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
0.8field-weighted citation impact, top 27% 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, 26 citations in OpenAlex.

  1. Article
  2. Altered Expression ofDiagnostics (Basel, Switzerland) · 2024
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  4. Review
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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

4 authors at 2 institutions in 1 country.

Jennifer L HeringtonDivision of Neonatology, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Yan GuoDepartment of Cancer Biology and Vanderbilt Technologies for Advanced Genomics Analysis and Research Design, Vanderbilt University, Nashville, TN 37232, USA.
Jeff ReeseDivision of Neonatology, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Bibhash C PariaDivision of Neonatology, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Vanderbilt University Medical Center · USVanderbilt University · US

Funding

Hamster: A Unique Model for Studying ImplantationR01HD044741 · NICHD · VANDERBILT UNIVERSITY · PI PARIA, BIBHASH CHANDRA · 2004 to 2014
$2.9M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)KL2TR000446 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$2.8M
Detecting biochemical changes in the pregnant mouse cervix by Raman spectroscopyR01HD081121 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MAHADEVAN-JANSEN, ANITA, REESE, JOHN JEFFREY · 2014 to 2018
$1.9M
Parous mouse: A unique model to define uterine receptivity versus nonreceptivityR21HD080148 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PARIA, BIBHASH CHANDRA · 2016 to 2017
$435k
NCATS NIH HHS KL2 TR000446NICHD NIH HHS R01 HD044741NICHD NIH HHS R01 HD081121NICHD NIH HHS R21 HD080148
6 · The paper itself

Abstract

Poor uterine receptivity leads to implantation defects or failure. Identification of uterine molecules crucial to uterine receptivity and/or embryo implantation provides the opportunity to design a diagnostic screening toolkit for uterine receptivity or targeted drug discovery for treating implantation-based infertility. In this regard, gene-profiling studies performed in humans and rodents have identified numerous genes involved in the transcriptional regulation of uterine receptivity and embryo implantation. In this article, we compared available uterine microarray datasets collected during the time of uterine receptivity and implantation in humans, mice and hamsters to uncover conserved gene sets. We also compared the transcriptome signature of women with unexplained infertility (UIF) and recurrent implantation failure (RIF) to gain insight into genes potentially dysregulated during endometrial receptivity or embryo implantation. Among numerous differentially expressed genes, few were revealed that might have molecular diagnostic screening potential for identifying the uterine receptive state during the time of implantation. Finally, functional annotation of gene sets uncovered altered uterine apoptosis or cell adhesion pathways in women with UIF and RIF, respectively. These conserved or divergent gene sets provide insights into the uterine receptive state for supporting blastocyst implantation.

Indexed as

Endometrial receptivityGene expressionImplantation siteRecurrent implantation failureUnexplained infertility

Identifiers

PMID28239559
PMCPMC5321051
OpenAlexW2560277911

What OpenQuestion holds

Textmetadata
LicenceTDM
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.