A5045985510- Metabolomics and Mass Spectrometry Studies
- Lichen and fungal ecology
- Bioinformatics and Genomic Networks
- Botany and Plant Ecology Studies
- Amyotrophic Lateral Sclerosis Research
- Analytical Chemistry and Chromatography
- Machine Learning in Materials Science
- Computational Drug Discovery Methods
- Neuroinflammation and Neurodegeneration Mechanisms
- Immune cells in cancer
- Gene expression and cancer classification
- Heavy metals in environment
- Neurogenetic and Muscular Disorders Research
- Isotope Analysis in Ecology
- Advanced Proteomics Techniques and Applications
- Biochemical Acid Research Studies
- Insect Resistance and Genetics
- Biochemical and biochemical processes
- Insect-Plant Interactions and Control
- Bryophyte Studies and Records
- Mycorrhizal Fungi and Plant Interactions
- Biochemical Analysis and Sensing Techniques
- Advanced Chemical Sensor Technologies
- Antioxidant Activity and Oxidative Stress
- Geology and Paleoclimatology Research
Netherlands Metabolomics Centre
2024-2025
Leiden University Medical Center
2023-2025
Université de Rennes
2021-2022
Centre National de la Recherche Scientifique
2021-2022
Institut des Sciences Chimiques de Rennes
2019-2022
Institut d'Électronique et des Technologies du numéRique
2019
Abstract Lipid changes in the brain have been implicated many neurodegenerative diseases including Alzheimer’s Disease (AD), Parkinson’s disease and Amyotrophic Lateral Sclerosis. To facilitate comparative lipidomic research across brain-diseases we established a data commons named Neurolipid Atlas, that pre-populated with novel human, mouse isogenic induced pluripotent stem cell (iPSC)-derived lipidomics for different diseases. We show iPSC-derived neurons, microglia astrocytes display...
Abstract Here we report a conserved transcriptomic signature of reduced fatty acid and lipid metabolism gene expression in Drosophila model C9orf72 repeat expansion, the most common genetic cause amyotrophic lateral sclerosis frontotemporal dementia (ALS/FTD), human postmortem ALS spinal cord. We performed lipidomics on C9 ALS/FTD , induced pluripotent stem (iPS) cell neurons FTD brain tissue. This revealed specific reduction phospholipid species containing polyunsaturated acids (PUFAs)....
Abstract While analytical techniques in natural products research massively shifted to liquid chromatography-mass spectrometry, lichen chemistry remains reliant on limited methods, Thin Layer Chromatography being the gold standard. To meet modern standards of metabolomics within lichenochemistry, we announce publication an open access MS/MS library with 250 metabolites, coined LDB for Lichen DataBase, providing a comprehensive coverage chemodiversity. These were donated by Berlin Garden and...
Saliva is a complex bodily fluid composed of secretions by major and minor salivary glands. Salivary glands their are known to be unevenly distributed in the human oral cavity. Moreover, saliva flow rate composition vary across locations time day. This remarkable heterogeneity suggests that different subtypes fulfill functions. By coupling non-invasive facile collection method with comprehensive metabolomic profiling, we investigated spatial temporal distributions components. We identified...
Thanks to the plummeting costs of continuously evolving omics analytical platforms, research centers collect multiomics data more routinely. They are, however, confronted with lack a versatile software solution harmoniously analyze single-omics and interpret data. We have developed iSODA, web-based application for analysis single- The tool emphasizes intuitive interactive visualizations designed user-driven exploration. Researchers can access variety functions ranging from simple...
Abstract We report a conserved transcriptomic signature of reduced fatty acid and lipid metabolism gene expression in human post-mortem ALS spinal cord Drosophila model the most common genetic cause FTD/ALS, repeat expansion C9orf72 . To investigate alterations, we performed lipidomics on C9FTD/ALS iPSC-neurons FTLD brain tissue. This revealed specific reduction phospholipid species containing polyunsaturated acids (PUFAs). determine whether this PUFA deficit contributes to...
Molecular docking, pivotal in predicting small-molecule ligand binding modes, struggles with accurately identifying conformations and affinities. This is particularly true for neonicotinoids, insecticides whose impacts on ecosystems require precise molecular interaction modeling. study scrutinizes the effectiveness of prominent docking software (Ledock, ADFR, Autodock Vina, CDOCKER) simulating interactions environmental chemicals, especially neonicotinoid-like molecules nicotinic...
Abstract Introduction In recent years, LC‐MS has become the golden standard for metabolomic studies. Indeed, LC is relatively easy to couple with soft electrospray ionization. As a consequence, many tools have been developed structural annotation of tandem mass spectra. However, it sometimes difficult do data‐dependent acquisition (DDA), especially when developing new methods that stray from classical workflow. Objective An old tool petroleomics recently gained popularity in metabolomics,...
Roccella species constitute interesting models to address questions regarding lichen metabolite diversity across taxonomic, ecological and geographic gradients. Indeed, owing their wide distribution, taxonomic the narrow niche they occupy, are good candidates study drivers of chemistry. This focuses on chemical profiling five species: R. applanata, belangeriana, fuciformis, montagnei phycopsis. These were sampled in a rather longitudinal range (1°51′W 47°17′E) covering Eastern Atlantic...
Abstract In the context of untargeted metabolomics, molecular networking is a popular and efficient tool which organizes simplifies mass spectrometry fragmentation data (LC-MS/MS), by clustering ions based on cosine similarity score. However, nature ion species rarely taken into account, causing redundancy as single compound may be present in different forms throughout network. Taking advantage presence such redundant ions, we developed new method named MolNotator. Using produced molecule...
Microbiota is known to play a pivotal role in generating bioavailable and bioactive low-molecular-weight metabolites from dietary polyphenols. 5-O-caffeoylquinic acid (5-CQA), one of the main polyphenols found human diet, was submitted resting cell biotransformation study using three gut bacteria species Lactobacillus reuteri, Bacteroides fragilis Bifidobacterium longum. These were selected according their belonging phyla microbiota. Our highlighted ability only strains studied, L....
Lichens contain unique metabolites that most often need to be characterized from a limited amount of material. While thin layer chromatography is still the preferred analysis method for lichenologists, liquid gives deeper insight in lichen metabolome, but an extractive step needed before any analysis. Therefore, ambient ionization mass spectrometry (MS) samples using Atmospheric Solid Analysis Probe (ASAP) and Direct Acquisition Real Time (DART) techniques evaluated. We looked faster screen...
Abstract Omics technologies including genomics, proteomics, metabolomics, and lipidomics allow profound insights into health disease. Thanks to plummeting costs of continuously evolving omics analytical platforms, research centers collect multi-omics data more routinely. They are, however, confronted with the lack a versatile software solution harmoniously analyze single-omics merge interpret data. We have developed iSODA, an interactive web-based application for analysis single-as well as...
Abstract Background As the main genetic risk factor for AD, glial ApoE4 has been implicated in a number of early disease relevant processes, such as lipid dyshomeostasis, mitochondrial dysfunction and altered immune function. This phenotype is not yet well characterized this hampers rationale design ApoE4‐targeting interventions. Method We characterize phenotypes ApoE3/3 ApoE4/4 iPSC‐derived astrocytes by multi‐omic profiling. In addition, we use lipidomic metabolic profiling interventions...
Abstract Background ApoE4 is the major genetic risk factor for Alzheimer’s disease and main lipid transporter in brain. How drives AD pathogenesis, how this related to changes metabolism, not well understood. This lack of mechanistic insight has hampered development interventions that can reverse pathological effects ApoE4. Methods Here we perform integrated multiomic analysis (lipidomics, metabolomics, transcriptomics proteomics) on isogenic iPSC‐derived glia carrying an ApoE4/4, ApoE3/3 or...