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

Links