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Increasing Proteome Depth While Maintaining Quantitative Precision in Short-Gradient Data-Independent Acquisition Proteomics

https://doi.org/10.1021/acs.jproteome.3c00078

22/22 checkable references clean · checked 2026-07-24

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

The 22 checked references that resolve

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BoxCar and Library-Free Data-Independent Acquisition Substantially Improve the Depth, Range, and Completeness of Label-Free Quantitative Proteomics

resolves10.1021/acs.jproteome.0c00381

PulseDIA: Data-Independent Acquisition Mass Spectrometry Using Multi-Injection Pulsed Gas-Phase Fractionation

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Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry

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Isolation Window Optimization of Data-Independent Acquisition Using Predicted Libraries for Deep and Accurate Proteome Profiling

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Optimization of Experimental Parameters in Data-Independent Mass Spectrometry Significantly Increases Depth and Reproducibility of Results

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Unbiased Antimicrobial Resistance Detection from Clinical Bacterial Isolates Using Proteomics

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