Absolute Quantitation of Proteins by Coulometric Mass Spectrometry.


Journal

Analytical chemistry
ISSN: 1520-6882
Titre abrégé: Anal Chem
Pays: United States
ID NLM: 0370536

Informations de publication

Date de publication:
02 06 2020
Historique:
pubmed: 6 5 2020
medline: 13 2 2021
entrez: 6 5 2020
Statut: ppublish

Résumé

Accurate quantification is essential in the fields of proteomics, clinical assay, and biomarker discovery. Popular methods for absolute protein quantitation by mass spectrometry (MS) involve the digestion of target protein and employ isotope-labeled peptide internal standards to quantify chosen surrogate peptides. Although these methods have gained success, syntheses of isotope-labeled peptides are time-consuming and costly. To eliminate the need for using standards or calibration curves, herein we present a coulometric mass spectrometric (CMS) approach for absolute protein quantitation, based on the electrochemical oxidation of a surrogate peptide combined with mass spectrometric measurement of the oxidation yield. To demonstrate the utility of this method, several proteins were analyzed such as model proteins β-casein, and apomyoglobin as well as circadian clock protein KaiB isolated from

Identifiants

pubmed: 32368902
doi: 10.1021/acs.analchem.0c01151
doi:

Substances chimiques

Apoproteins 0
Caseins 0
Escherichia coli Proteins 0
Myoglobin 0
Period Circadian Proteins 0
apomyoglobin 0

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

7877-7883

Auteurs

Pengyi Zhao (P)

Department of Chemistry & Environmental Science, New Jersey Institute of Technology, Newark, New Jersey 07102, United States.

Qi Wang (Q)

Department of Chemistry & Environmental Science, New Jersey Institute of Technology, Newark, New Jersey 07102, United States.

Manpreet Kaur (M)

Department of Chemistry & Environmental Science, New Jersey Institute of Technology, Newark, New Jersey 07102, United States.

Yong-Ick Kim (YI)

Department of Chemistry & Environmental Science, New Jersey Institute of Technology, Newark, New Jersey 07102, United States.

Howard D Dewald (HD)

Department of Chemistry and Biochemistry, Ohio University, Athens, Ohio 45701, United States.

Olivier Mozziconacci (O)

Department of Analytical Sciences, Merck Research Laboratories, Merck &Co., Inc., Rahway, New Jersey 07065, United States.

Yong Liu (Y)

Department of Analytical Sciences, Merck Research Laboratories, Merck &Co., Inc., Rahway, New Jersey 07065, United States.

Hao Chen (H)

Department of Chemistry & Environmental Science, New Jersey Institute of Technology, Newark, New Jersey 07102, United States.

Articles similaires

Robotic Surgical Procedures Animals Humans Telemedicine Models, Animal

Odour generalisation and detection dog training.

Lyn Caldicott, Thomas W Pike, Helen E Zulch et al.
1.00
Animals Odorants Dogs Generalization, Psychological Smell
Animals TOR Serine-Threonine Kinases Colorectal Neoplasms Colitis Mice
Animals Tail Swine Behavior, Animal Animal Husbandry

Classifications MeSH