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MetabolomicsA new perspective on semen quality of aged male: The characteristics of metabolomics and proteomics

BACKGROUND: Semen quality is negatively correlated with male age and is mainly quantified by a routine semen analysis, which is descriptive and inconclusive. Sperm proteins or semen metabolites are used as the intermediate or end-products, reflecting changes in semen quality, an...

2024-01-16 | MTBLS5289 | MetaboLights
MetabolomicsMechanism of Hepatotoxicity Induced by Ethanol Extract of Emilia sonchifolia (L.) DC Revealed by Proteomics and Metabolomics

Objective: Hepatotoxicity has been reported for Emilia sonchifolia (L.) DC (Emilia sonchifolia). The plant material is typically prepared using two extraction methods for practical application: water extraction and ethanol extraction. However, our previous research only investigated its wate...

2025-10-30 | MTBLS13237 | MetaboLights
MetabolomicsMolecular investigation of Tuscan sweet cherries sampled over three years: gene expression analysis coupled to metabolomics and proteomics

Sweet cherry (Prunus avium L.) is a stone fruit widely consumed and appreciated for its organoleptic properties, as well as its nutraceutical potential. We here investigated the characteristics of six non-commercial Tuscan varieties of sweet cherry maintained at the Regional Germplasm Ba...

2021-10-29 | MTBLS1803 | MetaboLights
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
ProteomicsQuantitative and In-Depth Survey of the Isotopic Abundance Distribution Errors
Quantitative and In-Depth Survey of the Isotopic Abundance Distribution Errors in Shotgun Proteomics
ORGANISM(S): Homo Sapiens 
2017-12-06 | PXD008428 |
ProteomicsCEGS Proteomics - A multiregional proteomic survey of the postnatal human brain
Here we exploit label-free quantitative tandem mass-spectrometry proteomics to create the first in-depth quantitative proteomic survey of regions of the postnatal human brain. We adopted a dual approach to analysing these human brain samples similar to that of a recent high-quality study of the mou...
ORGANISM(S): Homo sapiens (Human) 
2018-01-09 | PXD005445 | Pride
Human brain Regions Post natal development 
TranscriptomicsTranscription profiling of rice plants exposed to jasmonic acid (JA)
In this study, integrated transcriptomics and proteomics approaches were applied to investigate the molecular responses of JA in the shoots of 7-days old rice (cv. Nipponbare) seedlings exposed to 5 micromolar JA for a period of 7 days. Based on the morphological alteration of JA-exposed rice seedli...
ORGANISM(S): Oryza sativa 
2008-06-11 | E-GEOD-11158 | biostudies-arrayexpress
ProteomicsZebrafish Deyolking Survey - A Survey of the Impact of Deyolking on Biological Processes Covered by Shotgun Proteomic Analyses of Zebrafish Embryos
Deyolking, the removal of the most abundant protein from the zebrafish (Danio rerio) embryo, is a common technique for in-depth exploration of proteome-level changes in vivo due to various environmental stressors or pharmacological impacts during embryonic stage of development. However, the effect o...
ORGANISM(S): Danio rerio (Zebrafish) (Brachydanio rerio) 
2015-10-14 | PXD002124 | Pride
Bioinformatics Label-free proteomics Zebrafish Deyolking 
Proteomicsinteractome and proteomic survey of PMBCs from COVID-19 patients
Virus-host interactome and proteomic survey of PMBCs from COVID-19 patients reveal potential virulence factors influencing SARS-CoV-2 pathogenesis
ORGANISM(S): Homo Sapiens 
PXD020067 |
UnknownA framework for intelligent data acquisition and real-time database searching for shotgun proteomics.
Not available
S-EPMC3316723 | biostudies-literature
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