Data · dataset · 2023
GreenPhos, a universal method for in-depth measurement of plant phosphoproteomes with high quantitative reproducibility
Listed in ScienceDB
Protein phosphorylation regulates a variety of important cellular and physiological processes in plants.
Description
In-depth profiling of phosphoproteomes of plants has been more technically challenging than that of animals. This is largely due to the necessities to improve protein extraction efficiency from plant cells with dense cell wall, and to minimize sample loss resulting from the stringent sample clean-up steps for the removal of large amount of biomolecules interfering phosphopeptide purification and mass spectrometry analysis.
To this end, we developed a method with streamlined workflow for highly efficient purification of phosphopeptides from tissues of various green organisms including Arabidopsis, rice, tomato, and Chlamydomonas reinhardtii, enabling in-depth identification with high quantitative reproducibility of about 11,000 phosphosites, the greatest depth achieved so far with single liquid chromatography-mass spectrometry (LC-MS) runs operated in a data dependent acquisition (DDA) mode.
Read the rest (2 more)
The mainstay features of the method are the minimal sample loss achieved through elimination of sample clean-up before protease digestion and of desalting before phosphopeptide enrichment, and hence the dramatic increases of time- and cost-effectiveness. The method, named GreenPhos thereof, combined with single-shot LC-MS, allows in-depth quantitative identification of Arabidopsis phosphoproteomes at multiple time points during the course of salt stress, including differential phosphorylation of spliceosomal proteins and a number of kinase substrate motifs.
GreenPhos is expected to serve as a universal method for purification of plant phosphopeptides, which if further fractionated and analyzed by multiple LC-MS runs, could enable measurement of plant phosphoproteomes with an unprecedented depth under a given mass spectrometry technology.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.13608 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Mass spectrometry 75% · Plant biology 73%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.13608 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:3108 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (73%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[modality].local:modality:mass-spectrometry | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |