Evidence map›Paper›PMID 23580569›Full record

ArticleEndocrinology2013

The absence of ER-β results in altered gene expression in ovarian granulosa cells isolated from in vivo preovulatory follicles.

April K Binder, Karina F Rodriguez, Katherine J Hamilton, Patricia S Stockton, Casey E Reed, Kenneth S Korach

Open access · bronzeAbstract read
In one paragraph

Article in Endocrinology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

41 citing papers in PubMed, 68 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Potential Candidate Genes Associated with Litter Size in Goats: A Review.Animals : an open access journal from MDPI · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Female Reproductive Systems: Hormone Dependence and Receptor Expression.Advances in experimental medicine and biology · 2022
    Article
  18. Nuclear Receptors in Ovarian Function.Advances in experimental medicine and biology · 2022
    Article
  19. Article
  20. ERβ Regulation of Gonadotropin Responses during Folliculogenesis.International journal of molecular sciences · 2021
    Review
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

6 authors at 1 institution in 1 country.

April K BinderNational Institute of Environmental Health Sciences, Laboratory of Reproduction and Developmental Toxicology, 111 TW Alexander Drive, MD B3-02, Research Triangle Park, North Carolina 27709, USA.
Karina F Rodriguez
Katherine J Hamilton
Patricia S Stockton
Casey E Reed
Kenneth S Korach
National Institute of Environmental Health Sciences · US

Funding

Gene Expression and MicroarraysZICES102445 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI GERRISH, KEVIN · 2009 to 2025
$31.6M
Molecular Genetics Support to Identify Gene/Environment Interactions in DiseaseZICES102546 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI GERRISH, KEVIN · 2009 to 2025
$30.5M
Chemical Receptor Interactions In Reproduction And Hormonal ToxicityZIAES070065 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI KORACH, KENNETH S · 2009 to 2019
$29.6M
Chemical Receptor Interactions Reproduction/HormonalZ01ES070065 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI KORACH, KENNETH S · 1985 to 2008
$5.0M
Intramural NIH HHS Z01 ES070065
6 · The paper itself

Abstract

Determining the spatial and temporal expression of genes involved in the ovulatory pathway is critical for the understanding of the role of each estrogen receptor in the modulation of folliculogenesis and ovulation. Estrogen receptor (ER)-β is highly expressed in ovarian granulosa cells, and mice lacking ER-β are subfertile due to inefficient ovulation. Previous work has focused on isolated granulosa cells or cultured follicles and, although informative, provides confounding results due to the heterogeneous cell types present including granulosa and theca cells and oocytes and exposure to in vitro conditions. Herein we isolated preovulatory granulosa cells from wild-type (WT) and ERβ-null mice using laser capture microdissection to examine the genomic transcriptional response downstream of pregnant mare serum gonadotropin (mimicking FSH) and pregnant mare serum gonadotropin/human chorionic gonadotropin (mimicking LH) stimulation. This allows for a direct comparison of in vivo granulosa cells at the same stage of development from both WT and ERβ-null ovaries. ERβ-null granulosa cells showed altered expression of genes known to be regulated by FSH (Akap12 and Runx2) as well as not previously reported (Arnt2 and Pou5f1) in WT granulosa cells. Our analysis also identified 304 genes not previously associated with ERβ in granulosa cells. LH-responsive genes including Abcb1b and Fam110c show reduced expression in ERβ-null granulosa cells; however, novel genes including Rassf2 and Megf10 were also identified as being downstream of LH signaling in granulosa cells. Collectively, our data suggest that granulosa cells from ERβ-null ovaries may not be appropriately differentiated and are unable to respond properly to gonadotropin stimulation.

Indexed as

Gene Expression ProfilingAnimalsCells, CulturedChorionic GonadotropinEstrogen Receptor betaFemaleGonadotropins, EquineGranulosa CellsHorsesHumansMiceMice, KnockoutOligonucleotide Array Sequence AnalysisOvarian FollicleOvaryOvulationChorionic GonadotropinEstrogen Receptor betaGonadotropins, Equine

Identifiers

PMID23580569
PMCPMC3740481
OpenAlexW2171466896

What OpenQuestion holds

Textmetadata
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.