English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Fast proteomics with dia-PASEF and analytical flow-rate chromatography

Szyrwiel, L., Gille, C., Mülleder, M., Demichev, V., & Ralser, M. (2024). Fast proteomics with dia-PASEF and analytical flow-rate chromatography. Proteomics, 24(1-2): e2300100. doi: 10.1002/pmic.202300100.

Item is

Files

show Files
hide Files
:
Proteomics_Szyrwiel et al.pdf (Publisher version), 2MB
Name:
Proteomics_Szyrwiel et al.pdf
Description:
-
OA-Status:
Not specified
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
© 2023 The Author(s)

Locators

show

Creators

show
hide
 Creators:
Szyrwiel, Lukasz, Author
Gille, Christoph , Author
Mülleder , Michael , Author
Demichev, Vadim , Author
Ralser, Markus1, 2, Author                 
Affiliations:
1Biochemistry and Systems Biology of Metabolism (Markus Ralser), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_3485956              
2Department of Biochemistry, Charité - Universitätsmedizin Berlin, Berlin, Germany, ou_persistent22              

Content

show
hide
Free keywords: alternating column regeneration; analytical flow-rate chromatography; dia-PASEF; high-throughput proteomics; plasma proteomics
 Abstract: Increased throughput in proteomic experiments can improve accessibility of proteomic platforms, reduce costs, and facilitate new approaches in systems biology and biomedical research. Here we propose combination of analytical flow rate chromatography with ion mobility separation of peptide ions, data-independent acquisition, and data analysis with the DIA-NN software suite, to achieve high-quality proteomic experiments from limited sample amounts, at a throughput of up to 400 samples per day. For instance, when benchmarking our workflow using a 500-μL/min flow rate and 3-min chromatographic gradients, we report the quantification of 5211 proteins from 2 μg of a mammalian cell-line standard at high quantitative accuracy and precision. We further used this platform to analyze blood plasma samples from a cohort of COVID-19 inpatients, using a 3-min chromatographic gradient and alternating column regeneration on a dual pump system. The method delivered a comprehensive view of the COVID-19 plasma proteome, allowing classification of the patients according to disease severity and revealing plasma biomarker candidates.

Details

show
hide
Language(s): eng - English
 Dates: 2023-05-222023-06-072024-01
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1002/pmic.202300100
PMID: 37287406
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Proteomics
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Weinheim : WILEY-VCH
Pages: - Volume / Issue: 24 (1-2) Sequence Number: e2300100 Start / End Page: - Identifier: ISSN: 1615-9853
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000294310