Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

A Sensitive and Controlled SWATH Acquisition Method for Proteomic Analysis of Cell Therapies

Published

Author(s)

Camille Lombard-Banek, Kerstin Pohl, Edward Kwee, John T. Elliott, John E. Schiel

Abstract

Mass Spectrometry (MS)-based proteomic measurements are uniquely poised to impact the development of cell and gene therapies. With the adoption of rigorous instrumental performance controls (PQs), large-scale proteomics can move from a research to a manufacturing control tool. Especially suited, data-independent acquisition (DIA) approaches have distinctive qualities to extend multi-attribute method (MAM) principles to characterize the proteome of cell therapies. Here we describe the development of a DIA method by SWATH Acquisition for the sensitive identification and quantification of proteins on a Q-TOF instrument. Using the improved acquisition parameters, we defined some control metrics to improve the reproducibility of SWATH Acquisition-based proteomic measurements. Finally, we applied the method to analyze the proteome of Jurkat cells that here serves as a model for human T-cells.
Citation
ACS Journal of Proteome Research
Volume
21
Issue
5

Keywords

CAR-T, SWATH Acquisition

Citation

Lombard-Banek, C. , Pohl, K. , Kwee, E. , Elliott, J. and Schiel, J. (2022), A Sensitive and Controlled SWATH Acquisition Method for Proteomic Analysis of Cell Therapies, ACS Journal of Proteome Research, [online], https://doi.org/10.1021/acs.jproteome.1c00887, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=933537 (Accessed December 12, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created April 11, 2022, Updated November 29, 2022