Proteomics

Dataset Information

0

Ammonium Sulfate-based Prefractionation Improved Proteome Coverage in Arabidopsis thaliana Leaf Extract


ABSTRACT: The hypothesis that ammonium sulfate-based protein precipitation can help prefractionate the total protein extract into fractions of reduced complexity and improve the detection of low-abundance proteins was investigated. This dataset resulted from the experiments that we performed, of which the results validated this hypothesis. Of note, this prefractionation method allowed to identify 45% more proteins compared to the number of proteins identified from the total crude extract without prefractionation. Our results thus showed that a simple offline prefractionation of the proteome by ammonium sulfate prior to liquid chromatography-tandem mass spectrometry drastically improved the detection of intact and post-translationally modified proteins.

INSTRUMENT(S): Orbitrap Fusion

ORGANISM(S): Arabidopsis Thaliana (ncbitaxon:3702)

SUBMITTER: Tagnon Missihoun  

PROVIDER: MSV000088920 | MassIVE | Fri Feb 25 11:58:00 GMT 2022

SECONDARY ACCESSION(S): PXD031898

REPOSITORIES: MassIVE

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1
altmetric image

Publications

Ammonium sulfate-based prefractionation improved proteome coverage and detection of carbonylated proteins in Arabidopsis thaliana leaf extract.

Tola Adesola Julius AJ   Missihoun Tagnon D TD  

Planta 20230219 3


<h4>Main conclusion</h4>Ammonium sulfate is well known to salt out proteins at high concentrations. The study revealed that it can serve to increase by 60% the total number of identified carbonylated proteins by LC-MS/MS. Protein carbonylation is a significant post-translational modification associated with reactive oxygen species signaling in animal and plant cells. However, the detection of carbonylated proteins involved in signaling is still challenging, as they only represent a small subset  ...[more]

Similar Datasets

2022-10-20 | MSV000090559 | MassIVE
2011-09-30 | E-GEOD-27032 | biostudies-arrayexpress
2023-01-16 | GSE222674 | GEO
2008-05-31 | E-GEOD-8072 | biostudies-arrayexpress
2011-10-01 | GSE27032 | GEO
2022-02-16 | PXD023214 | Pride
2008-05-31 | GSE8072 | GEO
2008-05-31 | E-GEOD-8015 | biostudies-arrayexpress
2008-05-31 | GSE8015 | GEO
2012-03-15 | E-GEOD-32292 | biostudies-arrayexpress