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.
[doi:10.25345/C5W950P9W]
[dataset license: CC0 1.0 Universal (CC0 1.0)]
Keywords: Arabidopsis thaliana ; Ammonium sulafte-based prefractionation ; Plant leaves ; Orbitrap Fusion ; Proteome offline prefractionation
Principal Investigators: (in alphabetical order) |
Tagnon Missihoun, University of Quebec Trois-Rivieres, Canada |
Submitting User: | Tagnon |
Tola AJ, Missihoun TD.
Ammonium sulfate-based prefractionation improved proteome coverage and detection of carbonylated proteins in Arabidopsis thaliana leaf extract.
Planta. 2023 Feb 19;257(3):62. Epub 2023 Mar 19.
Number of Files: | |
Total Size: | |
Spectra: | |
Subscribers: | |
Owner | Reanalyses | |
---|---|---|
Experimental Design | ||
Conditions:
|
||
Biological Replicates:
|
||
Technical Replicates:
|
||
Identification Results | ||
Proteins (Human, Remapped):
|
||
Proteins (Reported):
|
||
Peptides:
|
||
Variant Peptides:
|
||
PSMs:
|
||
Quantification Results | ||
Differential Proteins:
|
||
Quantified Proteins:
|
||
Browse Dataset Files | Browse Results |
FTP Download Link (click to copy):
|