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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
Detection and quantitation of the RNA-interacting proteome is commonly achieved applying SILAC labeling, following by data-dependent acquisition (DDA) of the proteomic data. However, the limited sensitivity of the DDA approach often restricts protein detection to those with higher expression in cell...
ORGANISM(S): Homo sapiens (Human) 
2023-12-19 | PXD045318 | Pride
SILAC labelled Hela cell lysates were mixed in defined ratios and analysed using both DDA and DIA methods, to serve as a benchmark for the novel plexDIA features of DIA-NN.
ORGANISM(S): Homo sapiens (Human) 
2023-10-19 | PXD039578 | Pride
Additional data and analyses for submission of DIA-SiS
ORGANISM(S): Homo sapiens (Human) Escherichia coli 
2024-10-14 | PXD054343 | Pride
The data-independent acquisition (DIA) mode performed in the latest high-resolution, high-speed mass spectrometers offers a powerful analytical tool for biological investigations. The DIA mass spectrometry (MS) combined with the isotopic labeling approach holds a particular promise for increasing th...
ORGANISM(S): Homo sapiens (Human) Rattus norvegicus (Rat) 
2021-02-02 | PXD021922 | Pride
In this study, we systematically evaluate sample preparation strategies, data acquisition modes and data-analysis approaches for both labeled and label-free proteomics, with the explicit goal of maximizing throughput and quantitative depth using Orbitrap-based instruments operating below 50Hz scan r...
ORGANISM(S): Homo sapiens (Human) 
2026-03-27 | PXD073468 | Pride
Stable isotope labeling by amino acids in cell culture (SILAC) coupled to data-dependent acquisition (DDA) is a common approach to quantitative proteomics with the desirable benefit of reducing batch effects during sample processing and data acquisition. More recently, using data-independent acquisi...
ORGANISM(S): Homo Sapiens 
2022-03-29 | PXD022659 | panorama
We employed an optimized, sensitive DIA-MS method on a high-resolution Orbitrap platform and re-measured the proteomic samples used in a previous study, in which the heterogeneity of HeLa cells across different research labs was analyzed by a multi-omic approach. Using the same MS sample sets of all...
ORGANISM(S): Homo sapiens (Human) 
2020-03-11 | PXD014847 | Pride
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