Optimized data-independent acquisition approach for proteomic analysis at single-cell level
Abstract
Single-cell proteomic analysis provides valuable insights into cellular heterogeneity allowing the characterization of the cellular microenvironment which is difficult to accomplish in bulk proteomic analysis. Currently, single-cell proteomic studies utilize data-dependent acquisition (DDA) mass spectrometry (MS) coupled with a TMT labelled carrier channel. Due to the extremely imbalanced MS signals among the carrier channel and other TMT reporter ions, the quantification is compromised. Thus, data-independent acquisition (DIA)-MS should be considered as an alternative approach towards single-cell proteomic study since it generates reproducible quantitative data. However, there are limited reports on the optimal workflow for DIA-MS-based single-cell analysis.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jul 09, 2022
- Source ID
- 10.1186/s12014-022-09359-9
Entities
People
- Hui Zhang
- Kenneth J. Pienta
- Lijun Chen
- Liwei Cao
- Morgan D. Kuczler
- Sarah R Amend
- Tung-shing Mamie Lih
- Yuanwei Xu
- Yuefan Wang
Organizations
- National Cancer Institute
- United States Department of Defense