Recent advances of data‐independent acquisition mass spectrometry‐based proteomics
Sign Up to like & getrecommendations! Published in 2023 at "PROTEOMICS"
DOI: 10.1002/pmic.202200011
Abstract: Bottom-up proteomics is a mass spectrometry-based method to analyze the contents of complex protein samples. Pioneered in the 1990s, it consists of converting protein samples into peptide samples by enzymatic digestion, the separation of peptides… read more here.
Keywords: dia; number; peptide precursors; approach ... See more keywords
Integration of data-independent acquisition (DIA) with co-fractionation mass spectrometry (CF-MS) to enhance interactome mapping capabilities.
Sign Up to like & getrecommendations! Published in 2023 at "Proteomics"
DOI: 10.1002/pmic.202200278
Abstract: Proteomics technologies are continually advancing, providing opportunities to develop stronger and more robust protein interaction networks (PINs). In part, this is due to the ever-growing number of high-throughput proteomics methods that are available. This review… read more here.
Keywords: data independent; dia; dia fractionation; acquisition dia ... See more keywords
Improved breast milk proteome coverage by DIA based LC‐MS/MS method
Sign Up to like & getrecommendations! Published in 2024 at "PROTEOMICS"
DOI: 10.1002/pmic.202300340
Abstract: The breast milk composition includes a multitude of bioactive factors such as viable cells, lipids and proteins. Measuring the levels of specific proteins in breast milk plasma can be challenging because of the large dynamic… read more here.
Keywords: method; milk proteome; breast milk; dia ... See more keywords
Improving Precursor Selectivity in Data-Independent Acquisition Using Overlapping Windows
Sign Up to like & getrecommendations! Published in 2019 at "Journal of the American Society for Mass Spectrometry"
DOI: 10.1007/s13361-018-2122-8
Abstract: AbstractA major goal of proteomics research is the accurate and sensitive identification and quantification of a broad range of proteins within a sample. Data-independent acquisition (DIA) approaches that acquire MS/MS spectra independently of precursor information… read more here.
Keywords: dia; data independent; precursor selectivity; independent acquisition ... See more keywords
Optimised data-independent acquisition strategy recaptures the classification of early-stage hepatocellular carcinoma based on data-dependent acquisition.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of proteomics"
DOI: 10.1016/j.jprot.2021.104152
Abstract: Proteomics is increasingly used for exploring disease biomarkers and therapeutic targets. The data-independent acquisition (DIA) method collects all peptide signals in a sample, and provides a convenient way to archive disease-related molecular features for further… read more here.
Keywords: dia; hepatocellular carcinoma; data independent; independent acquisition ... See more keywords
The Isotopic Ac-IP Tag Enables Multiplexed Proteome Quantification in Data-Independent Acquisition Mode
Sign Up to like & getrecommendations! Published in 2021 at "Analytical Chemistry"
DOI: 10.1021/acs.analchem.1c00453
Abstract: Data-independent acquisition (DIA) is an increasingly used approach for quantitative proteomics. However, most current isotope labeling strategies are not suitable for DIA as they lead to more complex MS2 spectra or severe ratio distortion. As… read more here.
Keywords: dia; data independent; independent acquisition; tag ... See more keywords
DIA+: A Data-Independent Acquisition Method Combining Multiple Precursor Charges to Improve Peptide Signal.
Sign Up to like & getrecommendations! Published in 2018 at "Analytical chemistry"
DOI: 10.1021/acs.analchem.8b03418
Abstract: Data-independent acquisition methods that acquire fragment ions from virtually any peptide in a sample have expanded the benefits of low-throughput targeted proteomics to proteome-wide analyses. While these methods have increased the reproducibility of peptide quantification… read more here.
Keywords: dia; dia data; data independent; method ... See more keywords
MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Proteome Research"
DOI: 10.1021/acs.jproteome.1c00796
Abstract: Data-independent acquisition-mass spectrometry (DIA-MS) is the method of choice for deep, consistent, and accurate single-shot profiling in bottom-up proteomics. While classic workflows for targeted quantification from DIA-MS data require auxiliary data-dependent acquisition (DDA) MS analysis… read more here.
Keywords: spectral libraries; data independent; optimized predicted; dia ... See more keywords
Definitive Screening Designs to Optimize Library-Free DIA-MS Identification and Quantification of Neuropeptides.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of proteome research"
DOI: 10.1021/acs.jproteome.3c00088
Abstract: Method optimization is crucial for successful mass spectrometry (MS) analysis. However, extensive method assessments, altering various parameters individually, are rarely performed due to practical limitations regarding time and sample quantity. To maximize sample space for… read more here.
Keywords: dia; identification; screening designs; definitive screening ... See more keywords
A robust multiplex-DIA workflow profiles protein turnover regulations associated with cisplatin resistance and aneuploidy
Sign Up to like & getrecommendations! Published in 2025 at "Nature Communications"
DOI: 10.1038/s41467-025-60319-x
Abstract: Quantifying protein turnover is fundamental to understanding cellular processes and advancing drug discovery. Multiplex-DIA mass spectrometry (MS), combined with dynamic SILAC labeling (pulse-SILAC, or pSILAC) reliably measures protein turnover and degradation kinetics. Previous multiplex-DIA-MS workflows… read more here.
Keywords: resistance; degradation; protein turnover; dia ... See more keywords
Recombinant Protein Spectral Library (rPSL) DIA-MS method improves identification and quantification of low-abundance cancer-associated and kynurenine pathway proteins
Sign Up to like & getrecommendations! Published in 2025 at "Communications Chemistry"
DOI: 10.1038/s42004-025-01531-0
Abstract: Data-independent acquisition mass spectrometry (DIA-MS) is a powerful tool for quantitative proteomics, but a well-constructed reference spectral library is crucial to optimize DIA analysis, particularly for low-abundance proteins. In this study, we evaluate the efficacy… read more here.
Keywords: abundance; dia; spectral library; cancer associated ... See more keywords