Evidence map›Paper›PMID 28174300›Full record

ArticleThe Journal of biological chemistry2017

Calmodulin Lobes Facilitate Dimerization and Activation of Estrogen Receptor-α.

Zhigang Li, Yonghong Zhang, Andrew C Hedman, James B Ames, David B Sacks

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. NaStructure (London, England : 1993) · 2021
    Article
  5. Review
  6. Dynamic NaeLife · 2021
    Article
  7. Review
  8. Review
  9. CaBiochemistry · 2019
    Article
  10. Article
  11. Review
  12. Review
  13. CaThe Journal of biological chemistry
    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

5 authors at 3 institutions in 1 country.

Zhigang LiFrom the Department of Laboratory Medicine, National Institutes of Health, Bethesda, Maryland 20892.
Yonghong Zhangthe Department of Chemistry, University of Texas Rio Grande Valley, Edinburgh, Texas 78539, and.
Andrew C HedmanFrom the Department of Laboratory Medicine, National Institutes of Health, Bethesda, Maryland 20892.
James B Amesthe Department of Chemistry, University of California, Davis, California 95616 jbames@ucdavis.edu.
David B SacksFrom the Department of Laboratory Medicine, National Institutes of Health, Bethesda, Maryland 20892, david.sacks2@nih.gov.ORCID 0000-0003-3100-0735
National Institutes of Health · USThe University of Texas Rio Grande Valley · USUniversity of California System · US

Funding

MEMBRANE TARGETING CALCIUM SENSORS IN VISIONR01EY012347 · NEI · UNIVERSITY OF MD BIOTECHNOLOGY INSTITUTE · PI AMES, JAMES B · 1999 to 2023
$6.9M
IQGAP1 in tumorigenesisZIACL080017 · CLC · CLINICAL CENTER · PI SACKS, DAVID · 2012 to 2025
$0k
NEI NIH HHS R01 EY012347
6 · The paper itself

Abstract

Estrogen receptor α (ER-α) is a nuclear hormone receptor that controls selected genes, thereby regulating proliferation and differentiation of target tissues, such as breast. Gene expression controlled by ER-α is modulated by Ca

Indexed as

Protein MultimerizationCalmodulinEstrogen Receptor alphaEstrogensHEK293 CellsHumansMCF-7 CellsMolecular Docking SimulationProtein ConformationTranscriptional ActivationTransfectionCalmodulinESR1 protein, humanEstrogen Receptor alphaEstrogensbreast cancercalmodulin (CaM)estrogen receptorreceptor structure-functionsignalingstructure-functiontranscription

Identifiers

PMID28174300
PMCPMC5377777
OpenAlexW2586138616

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.