plexDIA
plexDIA performs multiplexed Data Independent Acquisition (DIA) analysis to increase the depth and throughput of quantitative proteomics for sensitive and accurate protein quantification across large sample sets.
Key Features:
- Multiplexed DIA Implementation: Implements multiplexed Data Independent Acquisition (DIA) to parallelize the analysis of precursors and samples for increased throughput.
- Improved Retention Time Precision: Provides enhanced precision in retention time estimates to reduce variability in protein quantification.
- Multiplicative Gains in Throughput: Combines optimized multiplexing reagents, data acquisition processes, and analytical interpretation to increase throughput and handle larger datasets.
- Future Directions for Advancement: Includes optimized mass-tags, isotopologous carriers, and algorithm development that exploit the regular structures in plexDIA data to improve sensitivity, proteome coverage, and quantitative accuracy.
Scientific Applications:
- Functional Proteomics: Enables analysis of protein conformations, turnover dynamics, post-translational modification states, and protein activities in functional proteomic assays.
- Single-Cell Proteomics: Extends sensitivity to support single-cell protein analysis and investigation of cellular heterogeneity.
Methodology:
Computational methods explicitly include multiplexed DIA data acquisition and analysis, parallel processing of precursors and samples, retention-time estimation, and algorithmic approaches that exploit regular data structures for analytical interpretation.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- R, MATLAB
- Added:
- 3/30/2023
- Last Updated:
- 11/24/2024
Operations
Publications
Derks J, Slavov N. Strategies for Increasing the Depth and Throughput of Protein Analysis by plexDIA. Journal of Proteome Research. 2023;22(3):697-705. doi:10.1021/acs.jproteome.2c00721. PMID:36735898. PMCID:PMC9992289.
PMID: 36735898
PMCID: PMC9992289
Funding: - Paul G. Allen Frontiers Group: CZI CZF2019-002424
- National Institute of General Medical Sciences: 5R01GM144967