Proteomics

Dataset Information

A Sensitive and Controlled Data-Independent Acquisition Method for Proteomic Analysis of Cell Therapies


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 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.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): T Cell

SUBMITTER: Camille Lombard-Banek  

LAB HEAD: John E. Schiel

PROVIDER: PXD029780 | Pride | 2022-04-11

REPOSITORIES: Pride