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MetabolomicsIon mobility-based sterolomics reveals spatially and temporally distinctive sterol lipids in the mouse brain
Aberrant sterol lipid metabolism is associated with physiological dysfunctions in the aging brain and aging-dependent disorders such as neurodegenerative diseases. There is an unmet demand to comprehensively profile sterol lipids spatially and temporally in different brain regions during aging. Here...
2021-05-24 | MTBLS2457 | MetaboLights
MetabolomicsGlobal Stable-isotope Tracing Metabolomics Reveals System-wide Metabolic Alternations in Aging Drosophila

System-wide metabolic homeostasis is crucial for maintaining physiological functions of living organisms. Stable-isotope tracing metabolomics allows to unravel metabolic activity quantitatively by measuring the isotopically labeled metabolites, but has been largely restricted by coverage. Yet, de...

2022-06-16 | MTBLS3322 | MetaboLights
MetabolomicsUnknown Metabolite Annotation in Mouse Aging using Ion Mobility Collision Cross-Section Atlas (AllCCS)

The metabolome includes not just known but also unknown metabolites; however, metabolite annotation remains the bottleneck in untargeted metabolomics. Ion mobility – mass spectrometry (IM-MS) has emerged as a promising technology by providing multi-dimensional characterizations of metabolites. He...

2020-07-28 | MTBLS1622 | MetaboLights
MetabolomicsAbsolute quantitative lipidomics reveals lipidome-wide alterations in aging brain (Mouse brain NEG UPLC-MS assay)

INTRODUCTION: The absolute quantitation of lipids at the lipidome-wide scale is a challenge but plays an important role in the comprehensive study of lipid metabolism.

OBJECTIVES: We aim to develop a high-throughput quantitative lipidomics approach to enab...

2018-08-03 | MTBLS495 | MetaboLights
MetabolomicsDifferent regions of synaptic vesicle membrane regulate VAMP2 conformation for the SNARE assembly
Vesicle associated membrane protein 2 (VAMP2/synaptobrevin2), a core SNARE protein residing on synaptic vesicles (SVs), forms helix bundles with syntaxin-1 and SNAP25 for the SNARE assembly. Prior to the SNARE assembly, the structure of VAMP2 is unclear. Here, by using in-cell NMR spectroscopy, we d...
2021-10-06 | MTBLS1503 | MetaboLights
MetabolomicsKnown Metabolite Annotation in Different Biological Samples using Ion Mobility Collision Cross-Section Atlas (AllCCS)

The metabolome includes not just known but also unknown metabolites; however, metabolite annotation remains the bottleneck in untargeted metabolomics. Ion mobility – mass spectrometry (IM-MS) has emerged as a promising technology by providing multi-dimensional characterizations of metabolites. He...

2020-07-28 | MTBLS1693 | MetaboLights
MetabolomicsMetabolic reaction network-based recursive metabolite annotation for untargeted metabolomics (Aging fruit fly negative mode)

Large-scale metabolite annotation is a challenge in liquid chromatogram-mass spectrometry (LC-MS)-based untargeted metabolomics. Here, we develop a metabolic reaction network (MRN)-based recursive algorithm (MetDNA) that expands metabolite annotations without the need for a comprehensive standard...

2019-03-26 | MTBLS615 | MetaboLights
UnknownDraft Genome Sequence of Amphibacillus jilinensis Y1(T), a Facultatively Anaerobic, Alkaliphilic and Halotolerant Bacterium.
Not available
S-EPMC3910707 | biostudies-literature
UnknownGenome-Wide Identification of the YABBY Gene Family in Seven Species of Magnoliids and Expression Analysis in Litsea.
Not available
S-EPMC7824534 | biostudies-literature
MetabolomicsMetabolic reaction network-based recursive metabolite annotation for untargeted metabolomics (Aging fruit fly positive mode)

Large-scale metabolite annotation is a challenge in liquid chromatogram-mass spectrometry (LC-MS)-based untargeted metabolomics. Here, we develop a metabolic reaction network (MRN)-based recursive algorithm (MetDNA) that expands metabolite annotations without the need for a comprehensive standard...

2019-03-22 | MTBLS612 | MetaboLights
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