MassIVE MSV000095888

Partial Public

Analysis of protein phosphorylation in response to the ATP treatment in Arabidopsis thaliana

Description

The project intended to reveal protein phosphorylation patterns in Arabidopsis thaliana in response to ATP. For this purpose, Arabidopsis thaliana plants, including WT, ATP receptor mutants (p2k1, p2k2, and double mutant p2k1/p2k2), and P2K1 overexpression plants, were treated with ATP or buffer (as the negative control). Crude membrane proteins were then extracted, reduced with DTT, alkylated with iodoacetamide, and digested with Lys-C/trypsin. The digested peptides were then acidified with formic acid, desalted with C18 SPE columns, and concentrated in a Speed-Vac concentrator. The Phosphopeptides were enriched from the above digested peptide samples using IMAC and then analyzed with LC-MS/MS. Data was searched with MaxQuant (ver. 2.0.1.0), which identified and quantified peptides and proteins across all of with Arabidopsis thaliana data set (Uniprot.2020.11.02). [doi:10.25345/C5BN9XF2J] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: phosphorylation ; ATP

Contact

Principal Investigators:
(in alphabetical order)
Gary Stacey, University of Missouri, Columbia, United States
Submitting User: alchemistmatt

Publications

Kim D, Jorge GL, Xu C, Su L, Cho SH, Ahsan N, Chen D, Zhou L, Gritsenko MA, Zhou M, Wan J, Pasa-Tolic L, Xu D, Bartley LE, Thelen JJ, Stacey G.
Identifying receptor kinase substrates using an 8,000 peptide kinase client library enriched for conserved phosphorylation sites.
Mol Cell Proteomics. Epub 2025 Feb 7.

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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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Number of distinct proteins quantified across all analyses (original submission and reanalyses) associated with this dataset.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

A protein is differentially abundant if its change in abundance across conditions is found to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated with statistical tests for differential abundance.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
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