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MetabolomicsBiological Characteristics of SARS-CoV-2 Resistant Populations: A Cohort Comparison Study through Integrated Gut Microbiota Sequencing, Metabolomics and Proteomics

Objective: Most research reports on COVID-19 infections have focused on the correlation between the severity of the disease symptoms and immune deficits, while the mechanisms affecting the susceptibility to SARS-CoV-2 remain largely unknown. The study aimed to comprehensively analyze the differen...

2025-06-28 | MTBLS12654 | MetaboLights
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
GenomicsBenchmarking Software for DDA-PASEF Immunopeptidomics
Benchmarking Software for DDA-PASEF Immunopeptidomics
PRJEB98909 | ENA
UnknownIn-depth analysis of data characteristics and comparative evaluation of dda and dia accuracy in label-free quantitative proteomics of biological samples.
Not available
S-EPMC12801617 | biostudies-literature
UnknownProtein Contaminants Matter: Building Universal Protein Contaminant Libraries for DDA and DIA Proteomics.
Not available
S-EPMC10040255 | biostudies-literature
UnknownTear fluid proteomics: a comparative study of DIA and DDA mass spectrometry.
Not available
S-EPMC12554977 | biostudies-literature
ProteomicsDDA-BERT: end-to-end training for data-dependent acquisition mass spectrometry-based proteomics
This project provides a large-scale training dataset for DDA-BERT, an end-to-end transformer-based deep learning model developed for PSM rescoring in data-dependent acquisition (DDA) proteomics. The dataset comprises curated PSMs generated using established database search engines, including FragPip...
ORGANISM(S): Chlamydomonas reinhardtii Glycine max Arabidopsis thaliana (Mouse-ear cress) Homo sapiens (Human) Mus musculus (Mouse) Escherichia coli Saccharomyces cerevisiae (Baker's yeast) Caenorhabditis elegans Rattus norvegicus (Rat) Bacillus cereus Bacillus subtilis 
2026-08-24 | PXD072999 | Pride
Deep learning Dda proteomics Peptide-spectrum matches (psms) rescoring Dda-bert Peptide identification 
UnknownGas-phase fractionation DDA promotes in-depth DIA phosphoproteome analysis.
Not available
S-EPMC11787513 | biostudies-literature
UnknownMultiPro: DDA-PASEF and diaPASEF acquired cell line proteomic datasets with deliberate batch effects.
Not available
S-EPMC10693559 | biostudies-literature
UnknownMSFragger-DDA+ Enhances Peptide Identification Sensitivity with Full Isolation Window Search.
Not available
S-EPMC11507693 | biostudies-literature
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