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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
UnknownA robust multiplex immunoaffinity mass spectrometry assay (PromarkerD) for clinical prediction of diabetic kidney disease.
Not available
S-EPMC7576806 | biostudies-literature
UnknownToward simple, rapid, and deep plant proteome analysis with an in-cell proteomics strategy.
Not available
S-EPMC12636300 | biostudies-literature
UnknownNew Interface for Faster Proteoform Analysis: Immunoprecipitation Coupled with SampleStream-Mass Spectrometry.
Not available
S-EPMC8530194 | biostudies-literature
UnknownEvaluation of the potential of Pap test fluid and cervical swabs to serve as clinical diagnostic biospecimens for the detection of ovarian cancer by mass spectrometry-based proteomics.
Not available
S-EPMC7792339 | biostudies-literature
UnknownUrine-HILIC: Automated Sample Preparation for Bottom-Up Urinary Proteome Profiling in Clinical Proteomics.
Not available
S-EPMC10594433 | biostudies-literature
ProteomicsAutomated sample preparation with SP3 for low-input clinical proteomics
High-throughput and streamlined workflows are essential in clinical proteomics for standardized processing of samples originating from a variety of sources, including frozen tissue, FFPE tissue, or blood. To reach this goal, we have implemented single-pot solid-phase-enhanced sample preparation (SP3...
ORGANISM(S): Homo sapiens (Human) 
2020-01-10 | PXD014556 | Pride
Sp3 Clinical proteomics Pulmonary adenocarcinoma Sample preparation Low-input High-throughput Automation 
ProteomicsStop trashing your spectra! Use a “Quantify then Identify” pipeline based on machine learning to maximize your isobaric tagging data
Being inspired by metabolomic data processing, we have developed a bioinformatic pipeline that optimizes the processing of mass spectral data obtained from isobaric Tandem Mass Tag (TMT) experiments. Our method focuses on the tandem mass spectral level by first quantifying and then identifying (QtI)...
ORGANISM(S): Homo sapiens (Human) Escherichia coli 
2018-05-01 | PXD005206 | Pride
Plasma Isobaric tagging Tmt Human Lc-ms Csf 6-plex Orbitrap 
ProteomicsZebra fish fin proteome - Proteome profile of zebrafish caudal fin based on one-dimensional gel electrophoresis LCMS/MS and two-dimensional gel electrophoresis MALDI MS/MS analysis
Fin
ORGANISM(S): Danio rerio (Zebrafish) (Brachydanio rerio) 
2011-05-05 | PRD000300 | Pride
ProteomicsIsolation and characterization of two recently isolated Novosphingobium oxfordensis sp. nov. and Novosphingobium mississippiensis sp. nov. strains from soil, with LCMS and genome-based investigation of their glycosphingolipid productions
Isolation and characterization of two recently isolated Novosphingobium oxfordensis sp. nov. and Novosphingobium mississippiensis sp. nov. strains from soil, with LCMS and genome-based investigation of their glycosphingolipid productions
ORGANISM(S): Novosphingobium Mississippiensis Sp. Nov. Novosphingobium Oxfordensis Sp. Nov. 
2024-07-03 | MSV000095235 | MassIVE
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