Evidence map›Paper›PMID 35192840›Full record

ArticleBiophysical journal2022

Architecture of the two metal-binding sites in prolactin.

Janus Vang, Yulia Pustovalova, Dmitry M Korzhnev, Oksana Gorbatyuk, Camille Keeler, Michael E Hodsdon, Jeffrey C Hoch

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biophysical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 1 country.

Janus VangDepartment of Molecular Biology and Biophysics, UConn Health, Farmington, Connecticut.
Yulia PustovalovaDepartment of Molecular Biology and Biophysics, UConn Health, Farmington, Connecticut.
Dmitry M KorzhnevDepartment of Molecular Biology and Biophysics, UConn Health, Farmington, Connecticut.
Oksana GorbatyukDepartment of Molecular Biology and Biophysics, UConn Health, Farmington, Connecticut.
Camille KeelerDepartment of Laboratory Medicine, Yale University, New Haven, Connecticut.
Michael E HodsdonDepartment of Laboratory Medicine, Yale University, New Haven, Connecticut.
Jeffrey C HochDepartment of Molecular Biology and Biophysics, UConn Health, Farmington, Connecticut. Electronic address: hoch@uchc.edu.
UConn Health · USYale University · US

Funding

TRD3 NMRbox: Bayesian AnalyticsP41GM111135 · NIGMS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI HOCH, JEFFREY C · 2015 to 2024
$14.0M
An Open-access 800 MHz NMR Spectrometer for Central New EnglandS10RR023041 · NCRR · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI HOCH, JEFFREY C · 2007 to 2007
$2.0M
Development and Application of Non-Fourier Method for Biomolecular NMRR01GM123249 · NIGMS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI HOCH, JEFFREY C · 2018 to 2021
$1.5M
NCRR NIH HHS S10 RR023041NIGMS NIH HHS P41 GM111135NIGMS NIH HHS R01 GM123249
6 · The paper itself

Abstract

Metal binding by members of the growth hormone (GH) family of hematopoietic cytokines has been a subject of considerable interest. However, beyond appreciation of its role in reversible packing of GH proteins in secretory granules, the molecular mechanisms of metal binding and granule formation remain poorly understood. Here, we investigate metal binding by a GH family member prolactin (PRL) using paramagnetic metal titration and chelation experiments. Cu

Indexed as

Growth HormoneProlactinBinding SitesCytoplasmic GranulesProteinsGrowth HormoneProlactinProteins

Identifiers

PMID35192840
PMCPMC9034190
OpenAlexW4213018777

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.