Proteomics

Dataset Information

0

Leaf protein extraction method


ABSTRACT: We evaluated several approaches for sample processing that are based on popular urea extraction, methanol/chloroform, and phenol methods. Additionally, we examined whether these methods were improved using FASP-based on filter digestion. We found that phenol-FASP and UA-FASP methods enabled the best coverage of protein, peptides, and MS/MS

INSTRUMENT(S): Q Exactive Plus

SUBMITTER: Justin Walley  

PROVIDER: MSV000082080 | MassIVE | Tue Feb 20 13:39:00 GMT 2018

REPOSITORIES: MassIVE

Dataset's files

Source:
Action DRS
MSV000082080 Other
params.xml Xml
statistics.tsv Tabular
GS-110717-PhenolFASP-39-LF-Trp-1ug-1D-QE2.raw Raw
GS-110717-UAFASP-38-LF-Trp-1ug-1D-QE2.raw Raw
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Publications

Assessment and Refinement of Sample Preparation Methods for Deep and Quantitative Plant Proteome Profiling.

Song Gaoyuan G   Hsu Polly Yingshan PY   Walley Justin W JW  

Proteomics 20180827 17


A major challenge in the field of proteomics is obtaining high-quality peptides for comprehensive proteome profiling by LC-MS. Here, evaluation and modification of a range of sample preparation methods using photosynthetically active Arabidopsis leaf tissue are done. It was found that inclusion of filter-aided sample preparation (FASP) based on filter digestion improves all protein extraction methods tested. Ultimately, a detergent-free urea-FASP approach that enables deep and robust quantificat  ...[more]

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