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MetabolomicsRA-MAP: mapping the molecular immunological landscape in early rheumatoid arthritis with vaccine controls

Rheumatoid arthritis (RA) is a chronic inflammatory disorder with poorly defined aetiology characterised by synovial inflammation with variable disease severity and drug responsiveness. To investigate the peripheral blood immune cell landscape of RA, we performed comprehensive clinical and molecu...

2021-06-16 | MTBLS1497 | MetaboLights
MetabolomicsThe trans-omics landscape of COVID-19
The outbreak of coronavirus disease 2019 (COVID-19) is a global health emergency. Various omics results have been reported for COVID-19, but the molecular hallmarks of COVID-19, especially in those patients without comorbidities, have not been fully investigated. Here we collect blood samples from 2...
2021-10-06 | MTBLS2542 | MetaboLights
MetabolomicsElucidation of the epitranscriptomic RNA modification landscape of chikungunya virus

The genomes of positive-sense (+) single-stranded RNA (ssRNA) viruses are believed to be subjected to a wide range of RNA modifications. In this study, we focused on the chikungunya virus (CHIKV) as a model (+) ssRNA virus to study the landscape of viral RNA modification in infected human cells. ...

2024-06-11 | MTBLS8697 | MetaboLights
MetabolomicsThe timing of bacterial mesophyll infection shapes the leaf chemical landscape during the interaction

Chemistry in eukaryotic intercellular spaces is shaped by both hosts and symbiotic microorganisms such as bacteria. Pathogenic microorganisms like barley associated Xanthomonas translucens (Xt) swiftly overtake the inner leaf tissue becoming the dominant microbial community member during disease ...

2024-02-01 | MTBLS7676 | MetaboLights
MetabolomicsGut fungal landscape in colorectal cancer and its cross-kingdom interplay with gut microbial ecology

Background: The gut microbiota is a key hallmark of tumor and plays a central role in colorectal cancer (CRC). However, the contribution of gut fungi, an important community of gut microbes, remains substantially understudied in CRC.

Objective: To characterize the gut fungal landscape in CR...

2025-07-26 | MTBLS12776 | MetaboLights
MetabolomicsLipidCreator workbench to probe the lipidomic landscape - Targeted lipidomics analysis of S. cerevisiae to determine true and false identification

Here we present LipidCreator, a software that fully supports targeted lipidomics assay development. LipidCreator offers a comprehensive framework to compute MS/MS fragment masses for over 60 lipid classes. LipidCreator provides all functionalities needed to define fragments, manage stable isotope...

2020-04-15 | MTBLS1376 | MetaboLights
MetabolomicsEpimedium-Derived Extracellular Vesicles Alleviate Cisplatin-induced Acute Kidney Injury: Integrated Multi-Omics Analysis and Molecular Simulations Reveal Flavonoid Interactions with PPARα
This study explores the protective effects and potential underlying mechanisms of Epimedium-derived extracellular vesicles (EpEVs) against cisplatin-induced acute kidney injury (CIAKI) in mice. EpEVs were isolated and purified via differential centrifugation combined with sucrose and iodixanol gradi...
2026-09-02 | MTBLS15534 | MetaboLights
MetabolomicsExploring the molecular intersection for hypertension, hyperlipidemia and their comorbid conditions through multi-omics approaches

Abstract

Background: Hypertension and hyperlipidemia are interconnected conditions that heighten cardiovascular risk, yet their intricate multi-scale molecular signatures remain inadequately mapped. This study aimed to conduct an integrated multi-omics investigation to unravel the key pathw...

2025-09-25 | MTBLS13039 | MetaboLights
ModelsCao2008 - Network of a toggle switch
Youfang Cao & Jie Liang. Optimal enumeration of state space of finitely buffered stochastic molecular networks and exact computation of steady state landscape probability. BMC Systems Biology 2 (2008). Stochasticity plays important roles in many molecular networks when molecular concentrations are ...
2024-09-02 | BIOMD0000000483 | BioModels
ProteomicsAstral-DIA Proteomics Deciphers the Molecular Landscape of Human Spermatozoa: A Comprehensive Quantitative Proteomic Characterization of Sperm Function and Fertility Potential
Male infertility is fundamentally rooted in developmental defects of germ cells and associated molecular dysregulation, yet the underlying mechanisms remain poorly understood. Data-independent acquisition (DIA) has emerged as a powerful tool in discovery proteomics, enabling the identification of di...
ORGANISM(S): Homo sapiens (Human) 
2025-03-11 | PXD061698 | Pride
Astral-dia  proteomics deciphers  molecular landscape 
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