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UnknownPerformance Characteristics of Zeno Trap Scanning DIA for Sensitive and Quantitative Proteomics at High Throughput.
Not available
S-EPMC12809002 | biostudies-literature
ProteomicsComparison of DIA and TMT based protein quantification in complex background
Label free quantification (LFQ) and isobaric labelling quantification (ILQ) are among the most popular protein quantification workflows in discovery proteomics. Here, we compared the TMT 10-plex workflow to label free single shot data-independent acquisition (DIA) method on a controlled sample set. ...
ORGANISM(S): Mus Musculus (ncbitaxon:10090) 
2020-01-29 | MSV000084859 | MassIVE
UnknownDIA-BERT: pre-trained end-to-end transformer models for enhanced DIA proteomics data analysis.
Not available
S-EPMC11997033 | biostudies-literature
ProteomicsProtein Contaminants Matter: Building Universal Protein Contaminant Libraries for DDA and DIA Proteomics
Mass spectrometry-based proteomics is challenged by the presence of contaminant background signals. In particular, protein contaminants from reagents and sample handling are often abundant and almost impossible to avoid, reducing the sensitivity, specificity and reproducibility of protein identifica...
ORGANISM(S): Homo Sapiens (ncbitaxon:9606) Mus Musculus (ncbitaxon:10090) 
2022-01-21 | MSV000088714 | MassIVE
UnknownCombining Data Independent Acquisition With Spike-In SILAC (DIA-SiS) Improves Proteome Coverage and Quantification.
Not available
S-EPMC11795695 | biostudies-literature
ProteomicsNarrow precursor window for DIA-MS enhances protein identification and quantification
Data independent acquistion (DIA) is becoming widely as a method of choice in quantitation proteomics due to its high reproducibility and quantitation accuracy at high-throughput fashion. In this project, we systematically evaluated the effect of the selected precursor mass range for DIA-MS on the p...
ORGANISM(S): Arabidopsis thaliana (Mouse-ear cress) 
2021-10-01 | PXD026965 | Pride
Arabidopsis Data independent acqusition (dia) Lc-ms/ms 
ProteomicsCombining data independent acquisition with spike-in SILAC (DIA-SiS) improves proteome coverage and quantification )
Data Independent Acquisition (DIA) is increasingly preferred over Data Dependent Acquisition (DDA) due to its higher throughput and fewer missing values. Whereas DDA often utilizes stable isotope labeling to improve quantification, DIA mostly relies on label-free approaches. Efforts to integrate DIA...
ORGANISM(S): Homo sapiens (Human) Escherichia coli 
2024-10-14 | PXD052080 | Pride
Multiplexing Dia Plexdia Silac Proteomics Benchmark 
Unknowniq: an R package to estimate relative protein abundances from ion quantification in DIA-MS-based proteomics.
Not available
S-EPMC7178409 | biostudies-literature
Proteomics,MultiomicsDIA-Umpire: comprehensive computational framework for data independent acquisition proteomics
This dataset consists of 44 raw MS files, comprising 27 DIA (SWATH) and 15 DDA runs on a TripleTOF 5600 and of two raw mass spectrometry files acquired on a Q Exactive. The composition of the dataset is described in the manuscript by Tsou et al., titled: "DIA-Umpire: comprehensive computational fra...
ORGANISM(S): Escherichia Coli (ncbitaxon:562) Homo Sapiens (ncbitaxon:9606) 
2017-04-27 | MSV000081023 | MassIVE
ProteomicsReproducibility, specificity and accuracy of DIA quantification - DIA analysis
For the complete description see the manuscript. Data dependent acquisition (DDA) is the method of choice for mass spectrometry based proteomics discovery experiments, data-independent acquisition (DIA) is steadily becoming more important. One of the most important requirement to perform a DIA analy...
ORGANISM(S): Mus musculus (Mouse) 
2019-11-08 | PXD012988 | Pride
Dia Label-free quantification Spectral library Data-independent acquisition 
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