Evidence map›Paper›PMID 38014076›Full record

ArticlebioRxiv : the preprint server for biology2023

A meta-analysis of rice phosphoproteomics data to understand variation in cell signalling across the rice pan-genome.

Kerry A Ramsbottom, Ananth Prakash, Yasset Perez Riverol, Oscar Martin Camacho, Zhi Sun, Deepti J Kundu, Emily Bowler-Barnett, Maria Martin, Jun Fan, Dmytro Chebotarov and 4 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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
–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, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 4 institutions in 3 countries.

Kerry A RamsbottomInstitute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 7BE, United Kingdom.ORCID 0000-0002-7432-9293
Ananth PrakashEuropean Molecular Biology Laboratory, EMBL-European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridge, CB10 1SD, United Kingdom.
Yasset Perez RiverolEuropean Molecular Biology Laboratory, EMBL-European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridge, CB10 1SD, United Kingdom.
Oscar Martin CamachoInstitute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 7BE, United Kingdom.
Zhi SunInstitute for Systems Biology, Seattle, Washington 98109, United States.
Deepti J KunduEuropean Molecular Biology Laboratory, EMBL-European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridge, CB10 1SD, United Kingdom.
Emily Bowler-BarnettEuropean Molecular Biology Laboratory, EMBL-European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridge, CB10 1SD, United Kingdom.
Maria MartinEuropean Molecular Biology Laboratory, EMBL-European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridge, CB10 1SD, United Kingdom.
Jun FanEuropean Molecular Biology Laboratory, EMBL-European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridge, CB10 1SD, United Kingdom.
Dmytro ChebotarovInternational Rice Research Institute, DAPO 7777, Manila 1301, Philippines.
Kenneth L McNallyInternational Rice Research Institute, DAPO 7777, Manila 1301, Philippines.
Eric W DeutschInstitute for Systems Biology, Seattle, Washington 98109, United States.
Juan Antonio VizcaínoEuropean Molecular Biology Laboratory, EMBL-European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridge, CB10 1SD, United Kingdom.
Andrew R JonesInstitute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 7BE, United Kingdom.
European Bioinformatics Institute · GBUniversity of Liverpool · GBInstitute for Systems Biology · USInternational Rice Research Institute · PH

Funding

Shortening the development cycle time of Trans Proteomic Pipeline tools with high performance computingR01GM087221 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI DEUTSCH, ERIC, MORITZ, ROBERT L · 2010 to 2021
$6.0M
Global proteomics mass spectrometry data sharing infrastructureR24GM148372 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Nuno Bandeira · 2023 to 2026
$2.8M
NIGMS NIH HHS R01 GM087221NIGMS NIH HHS R24 GM148372Wellcome Trust
6 · The paper itself

Abstract

Phosphorylation is the most studied post-translational modification, and has multiple biological functions. In this study, we have re-analysed publicly available mass spectrometry proteomics datasets enriched for phosphopeptides from Asian rice (

Identifiers

PMID38014076
PMCPMC10680829
OpenAlexW4388784847

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.