Evidence map›Paper›PMID 41279518›Full record

ArticlebioRxiv : the preprint server for biology2025

Toward simple, rapid, and deep plant proteome analysis with an in-cell proteomics strategy.

Deji Adekanye, Meghana Kusuru, Jeffrey L Caplan, Yanbao Yu

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Deji AdekanyeDepartment of Biological Sciences, University of Delaware, Newark, DE, USA.ORCID 0009-0006-0123-2120
Meghana KusuruDepartment of Computer and Information Sciences, University of Delaware, Newark, DE, USA.ORCID 0009-0009-5310-2573
Jeffrey L CaplanDepartment of Biological Sciences, University of Delaware, Newark, DE, USA.ORCID 0000-0002-3991-0912
Yanbao YuDepartment of Chemistry and Biochemistry, University of Delaware, Newark, DE, USA.ORCID 0000-0003-2994-1974

Funding

Predictive Modeling & Optimal Control Framework for Model-Based Epidemic Response in DelawareP20GM103446 · NIGMS · UNIVERSITY OF DELAWARE · PI Shawn W Polson · 2012 to 2026
$67.2M
This renovation project will create over 1455 sq. ft. of state- of-the-art reseaP20GM104316 · NIGMS · UNIVERSITY OF DELAWARE · PI FOX, JOSEPH M · 2014 to 2024
$26.8M
Understanding synovial macrophage inflamm-aging within osteoarthritisP20GM139760 · NIGMS · UNIVERSITY OF DELAWARE · PI DAWN M ELLIOTT · 2021 to 2026
$19.1M
Zeiss LSM710 Inverted Confocal MicroscopeS10OD016361 · OD · UNIVERSITY OF DELAWARE · PI CAPLAN, JEFFREY L · 2015 to 2015
$444k
NIGMS NIH HHS P20 GM103446NIGMS NIH HHS P20 GM104316NIGMS NIH HHS P20 GM139760NIH HHS S10 OD016361
6 · The paper itself

Abstract

Although modern mass spectrometry (MS) based proteomics has been broadly employed by the plant science community, proteomics analysis of plant tissues remains highly challenging to general plant biology laboratories, mainly due to the lack of effective and easily adaptable strategies that can process plant samples for MS analysis rapidly and reliably. Existing methods often involves lengthy mechanical disruption and protein extraction, which not only require large starting materials but also can cause significant variations, compromising quantitation accuracy. Here, we present an "in-cell proteomics" strategy and benchmark its performance against conventional processing methods using several model plants, including

Identifiers

PMID41279518
PMCPMC12636300

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.