A repository of assays to quantify 10,000 human proteins by SWATH-MS - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Scientific Data Année : 2014

A repository of assays to quantify 10,000 human proteins by SWATH-MS

Eric Deutsch
Stephen R. Tate
  • Fonction : Auteur
  • PersonId : 1029911

Résumé

Mass spectrometry is the method of choice for deep and reliable exploration of the (human) proteome. Targeted mass spectrometry reliably detects and quantifies pre-determined sets of proteins in a complex biological matrix and is used in studies that rely on the quantitatively accurate and reproducible measurement of proteins across multiple samples. It requires the one-time, a priori generation of a specific measurement assay for each targeted protein. SWATH-MS is a mass spectrometric method that combines data-independent acquisition (DIA) and targeted data analysis and vastly extends the throughput of proteins that can be targeted in a sample compared to selected reaction monitoring (SRM). Here we present a compendium of highly specific assays covering more than 10,000 human proteins and enabling their targeted analysis in SWATH-MS datasets acquired from research or clinical specimens. This resource supports the confident detection and quantification of 50.9% of all human proteins annotated by UniProtKB/Swiss-Prot and is therefore expected to find wide application in basic and clinical research. Data are available via ProteomeXchange (PXD000953-954) and SWATHAtlas (SAL00016-35).

Mots clés

Fichier principal
Vignette du fichier
A repository of assays to quantify 10,000 human proteins by SWATH-MS.pdf (871.81 Ko) Télécharger le fichier
Origine : Publication financée par une institution
Loading...

Dates et versions

pasteur-02619322 , version 1 (25-05-2020)

Licence

Paternité

Identifiants

Citer

George Rosenberger, Ching Chiek Koh, Tiannan Guo, Hannes Röst, Petri Kouvonen, et al.. A repository of assays to quantify 10,000 human proteins by SWATH-MS. Scientific Data , 2014, 1 (1), pp.140031. ⟨10.1038/sdata.2014.31⟩. ⟨pasteur-02619322⟩
24 Consultations
6 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More