Evidence map›Paper›PMID 32540960›Full record

ArticleThe Journal of biological chemistry2020

Photoaffinity labeling identifies an intersubunit steroid-binding site in heteromeric GABA type A (GABA

Selwyn S Jayakar, David C Chiara, Xiaojuan Zhou, Bo Wu, Karol S Bruzik, Keith W Miller, Jonathan B Cohen

Abstract read
In one paragraph

Article in The Journal of biological chemistry, 2020. 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
–field-weighted citation impact
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.

  1. New directions in neurosteroid therapeutics in neuropsychiatry.Neuroscience and biobehavioral reviews · 2025
    Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Neurosteroid Modulation of GABACurrent neuropharmacology · 2022
    Article
  11. Article
  12. Review
  13. 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.

Selwyn S JayakarDepartment of Neurobiology, Harvard Medical School, Boston, Massachusetts.
David C ChiaraDepartment of Neurobiology, Harvard Medical School, Boston, Massachusetts.
Xiaojuan ZhouDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts.
Bo WuDepartment of Medicinal Chemistry and Pharmacognosy, University of Illinois at Chicago, Chicago, Illinois.
Karol S BruzikDepartment of Medicinal Chemistry and Pharmacognosy, University of Illinois at Chicago, Chicago, Illinois.
Keith W MillerDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts.ORCID 0000-0002-4105-6639
Jonathan B CohenDepartment of Neurobiology, Harvard Medical School, Boston, Massachusetts jonathan_cohen@hms.harvard.edu.

Funding

Synthetic Chemistry CoreP01GM058448 · NIGMS · MASSACHUSETTS GENERAL HOSPITAL · PI MILLER, KEITH W · 1999 to 2018
$33.6M
NIGMS NIH HHS P01 GM058448
6 · The paper itself

Abstract

Allopregnanolone (3α5α-P), pregnanolone, and their synthetic derivatives are potent positive allosteric modulators (PAMs) of GABA

Indexed as

Binding SitesHEK293 CellsHumansModels, MolecularPhotoaffinity LabelsPregnanoloneProtein MultimerizationProtein SubunitsReceptors, GABA-ASteroidsGABRA1 protein, humanGABRB3 protein, humanGABRG2 protein, humanPhotoaffinity LabelsPregnanoloneProtein SubunitsReceptors, GABA-ASteroidsallopregnanoloneallosteric modulatorallosteric regulationanestheticanticonvulsantCys-loop receptorGABA-A receptorGABA receptorgeneral anestheticslipid-protein interactionneurosteroidphotoaffinity labelingsteroidγ-aminobutyric acidγ-aminobutyric acid (GABA)

Identifiers

PMID32540960
PMCPMC7450100

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.