Achieving quantitative reproducibility in label-free multisite DIA experiments through multirun alignment
Abstract DIA is a mainstream method for quantitative proteomics, but consistent quantification across multiple LC-MS/MS instruments remains a bottleneck in parallelizing data acquisition. One reason for this inconsistency and missing quantification is the retention time shift which current software...
Main Authors: | Shubham Gupta, Justin C. Sing, Hannes L. Röst |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-10-01
|
Series: | Communications Biology |
Online Access: | https://doi.org/10.1038/s42003-023-05437-2 |
Similar Items
-
Linked Coupling Faults Detection by Multirun March Tests
by: Ireneusz Mrozek, et al.
Published: (2024-03-01) -
Multisite assessment of reproducibility in high‐content cell migration imaging data
by: Jianjiang Hu, et al.
Published: (2023-04-01) -
Label-free quantitative proteomics analysis for type 2 diabetes mellitus early diagnostic marker discovery using data-independent acquisition mass spectrometry (DIA-MS)
by: Refat M. Nimer, et al.
Published: (2023-11-01) -
Multisite Simultaneous Neural Recording of Motor Pathway in Free-Moving Rats
by: Yiran Lang, et al.
Published: (2021-12-01) -
Label-free alignment of nonmagnetic particles in a small uniform magnetic field
by: Wang, Zhaomeng, et al.
Published: (2019)