Evidence map›Paper›PMID 23112859›Full record

ArticlePloS one2012

Abscisic acid signaling: thermal stability shift assays as tool to analyze hormone perception and signal transduction.

Fen-Fen Soon, Kelly M Suino-Powell, Jun Li, Eu-Leong Yong, H Eric Xu, Karsten Melcher

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

9 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
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  6. An NADeLife · 2018
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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

6 authors at 4 institutions in 3 countries.

Fen-Fen SoonLaboratory of Structural Sciences, Van Andel Research Institute, NE, Grand Rapids, Michigan, United States of America.
Kelly M Suino-Powell
Jun Li
Eu-Leong Yong
H Eric Xu
Karsten Melcher
National University Hospital · SGVan Andel Institute · USMichigan United · USShanghai Institutes for Biological Sciences · CN

Funding

Structural and functional analysis of a dynamic ABA signaling complexR01GM102545 · NIGMS · VAN ANDEL RESEARCH INSTITUTE · PI MELCHER, KARSTEN · 2012 to 2014
$1.1M
NIGMS NIH HHS R01 GM102545
6 · The paper itself

Abstract

Abscisic acid (ABA) is a plant hormone that plays important roles in growth and development. ABA is also the central regulator to protect plants against abiotic stresses, such as drought, high salinity, and adverse temperatures, and ABA signaling is therefore a promising biotechnological target for the generation of crops with increased stress resistance. Recently, a core signal transduction pathway has been established, in which ABA receptors, type 2C protein phosphatases, and AMPK-related protein kinases control the regulation of transcription factors, ion channels, and enzymes. Here we use a simple protein thermal stability shift assay to independently validate key aspects of this pathway and to demonstrate the usefulness of this technique to detect and characterize very weak (Kd ≥ 50 µM) interactions between receptors and physiological and synthetic agonists, to determine and analyze protein-protein interactions, and to screen small molecule inhibitors.

Indexed as

Signal TransductionAbscisic AcidArabidopsisArabidopsis ProteinsPlant Growth RegulatorsProtein BindingProtein Interaction MappingProtein KinasesProtein StabilityReceptors, Cell SurfaceTemperatureAbscisic AcidArabidopsis ProteinsOST1 protein, ArabidopsisPlant Growth RegulatorsProtein KinasesPYL2 protein, ArabidopsisReceptors, Cell Surface

Identifiers

PMID23112859
PMCPMC3480437
OpenAlexW2031159147

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.