Evidence map›Paper›PMID 38005695›Full record

ArticlePlants (Basel, Switzerland)2023

Development of Novel Monoclonal Antibodies to Wheat Alpha-Amylases Associated with Grain Quality Problems That Are Increasing with Climate Change.

Amber L Hauvermale, Courtney Matzke, Gamila Bohaliga, Mike O Pumphrey, Camille M Steber, Andrew G McCubbin

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2023. 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
0.8field-weighted citation impact, top 17% 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, 2 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

6 authors at 2 institutions in 1 country.

Amber L HauvermaleDepartment of Crop and Soil Sciences, Washington State University, Pullman, WA 99164, USA.
Courtney MatzkeSchool of Biological Sciences, Washington State University, Pullman, WA 99164, USA.ORCID 0000-0002-1864-2402
Gamila BohaligaDepartment of Crop and Soil Sciences, Washington State University, Pullman, WA 99164, USA.
Mike O PumphreyDepartment of Crop and Soil Sciences, Washington State University, Pullman, WA 99164, USA.
Camille M SteberDepartment of Crop and Soil Sciences, Washington State University, Pullman, WA 99164, USA.
Andrew G McCubbinSchool of Biological Sciences, Washington State University, Pullman, WA 99164, USA.ORCID 0000-0003-2811-3544
Washington State University · USUnited States Department of Agriculture · US

Funding

Orville A. Vogel Wheat Research Fund n/aUSDA-ARS n/aWashington State Grain Commission n/a
6 · The paper itself

Abstract

Accurate, rapid testing platforms are essential for early detection and mitigation of late maturity α-amylase (LMA) and preharvest sprouting (PHS) in wheat. These conditions are characterized by elevated α-amylase levels and negatively impact flour quality, resulting in substantial economic losses. The Hagberg-Perten Falling Number (FN) method is the industry standard for measuring α-amylase activity in wheatmeal. However, FN does not directly detect α-amylase and has major limitations. Developing α-amylase immunoassays would potentially enable early, accurate detection regardless of testing environment. With this goal, we assessed an expression of α-amylase isoforms during seed development. Transcripts of three of the four isoforms were detected in developing and mature grain. These were cloned and used to develop

Indexed as

alpha-amylaseend-use qualityenzyme-linked immunosorbent assayfalling numberimmunoassaymonoclonal antibodiespreharvest sproutingwheat

Identifiers

PMID38005695
PMCPMC10675223
OpenAlexW4388494392

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.