Simple Peptide Quantification Approach for MS-Based Proteomics Quality Control.
Journal
ACS omega
ISSN: 2470-1343
Titre abrégé: ACS Omega
Pays: United States
ID NLM: 101691658
Informations de publication
Date de publication:
31 Mar 2020
31 Mar 2020
Historique:
received:
07
01
2020
accepted:
04
03
2020
entrez:
8
4
2020
pubmed:
8
4
2020
medline:
8
4
2020
Statut:
epublish
Résumé
Despite its growing popularity and use, bottom-up proteomics remains a complex analytical methodology. Its general workflow consists of three main steps: sample preparation, liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS), and computational data analysis. Quality assessment of the different steps and components of this workflow is instrumental to identify technical flaws and avoid loss of precious measurement time and sample material. However, assessment of the extent of sample losses along with the sample preparation protocol, in particular, after proteolytic digestion, is not yet routinely implemented because of the lack of an accurate and straightforward method to quantify peptides. Here, we report on the use of a microfluidic UV/visible spectrophotometer to quantify MS-ready peptides directly in the MS-loading solvent, consuming only 2 μL of sample. We compared the performance of the microfluidic spectrophotometer with a standard device and determined the optimal sample amount for LC-MS/MS analysis on a Q Exactive HF mass spectrometer using a dilution series of a commercial K562 cell digest. A careful evaluation of selected LC and MS parameters allowed us to define 3 μg as an optimal peptide amount to be injected into this particular LC-MS/MS system. Finally, using tryptic digests from human HEK293T cells and showing that injecting equal peptide amounts, rather than approximate ones, result in less variable LC-MS/MS and protein quantification data. The obtained quality improvement together with easy implementation of the approach makes it possible to routinely quantify MS-ready peptides as a next step in daily proteomics quality control.
Identifiants
pubmed: 32258910
doi: 10.1021/acsomega.0c00080
pmc: PMC7114614
doi:
Types de publication
Journal Article
Langues
eng
Pagination
6754-6762Informations de copyright
Copyright © 2020 American Chemical Society.
Déclaration de conflit d'intérêts
The authors declare no competing financial interest.
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