Ronan M. T. Fleming

ORCID: 0000-0001-5346-9812
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About
Contact & Profiles
Research Areas
  • Microbial Metabolic Engineering and Bioproduction
  • Bioinformatics and Genomic Networks
  • Gene Regulatory Network Analysis
  • Metabolomics and Mass Spectrometry Studies
  • Gut microbiota and health
  • Biofuel production and bioconversion
  • Protein Structure and Dynamics
  • Parkinson's Disease Mechanisms and Treatments
  • Diet and metabolism studies
  • Advanced Optimization Algorithms Research
  • 3D Printing in Biomedical Research
  • Pluripotent Stem Cells Research
  • Genomics and Phylogenetic Studies
  • Enzyme Catalysis and Immobilization
  • Neuroscience and Neural Engineering
  • RNA and protein synthesis mechanisms
  • Optimization and Variational Analysis
  • Process Optimization and Integration
  • Pharmacogenetics and Drug Metabolism
  • Tryptophan and brain disorders
  • Bacterial Genetics and Biotechnology
  • Microfluidic and Bio-sensing Technologies
  • Crystallization and Solubility Studies
  • thermodynamics and calorimetric analyses
  • Drug Transport and Resistance Mechanisms

Ollscoil na Gaillimhe – University of Galway
2007-2025

Leiden University
2018-2024

Centre for Human Drug Research
2018-2024

University of Luxembourg
2013-2023

National University of Ireland
2021-2023

Medical University of Vienna
2020

Netherlands Metabolomics Centre
2019

University of Iceland
2009-2014

Faculty (United Kingdom)
2013

Center for Systems Biology
2013

Research on human brain development and neurological diseases is limited by the lack of advanced experimental in vitro models that truly recapitulate complexity brain. Here, we describe a robust organoid system highly specific to midbrain derived from regionally patterned neuroepithelial stem cells. These organoids contain spatially organized groups dopaminergic neurons, which make them an attractive model for study Parkinson's disease. Midbrain are characterized detail neuronal, astroglial,...

10.1016/j.stemcr.2017.03.010 article EN cc-by-nc-nd Stem Cell Reports 2017-04-13

Adenylate cyclase in plasma membranes was inhibited by micromolar concentrations of delta 8-tetrahydrocannabinol and 9-tetrahydrocannabinol levonantradol desacetyllevonantradol. This inhibition noncompetitive for stimulation the enzyme at prostanoid receptor prostaglandin E1 or prostacyclin, peptide secretin vasoactive intestinal peptide. Forskolin-activated adenylate also cannabimimetic agents. Inhibition cannabinoid compounds neither synergistic nor additive with muscarinic...

10.1016/s0026-895x(25)15066-9 article EN Molecular Pharmacology 1984-11-01

A multitude of factors contribute to complex diseases and can be measured with 'omics' methods. Databases facilitate data interpretation for underlying mechanisms. Here, we describe the Virtual Metabolic Human (VMH, www.vmh.life) database encapsulating current knowledge human metabolism within five interlinked resources 'Human metabolism', 'Gut microbiome', 'Disease', 'Nutrition', 'ReconMaps'. The VMH captures 5180 unique metabolites, 17 730 reactions, 3695 genes, 255 Mendelian diseases, 818...

10.1093/nar/gky992 article EN cc-by Nucleic Acids Research 2018-10-10

Standard Gibbs energies of reactions are increasingly being used in metabolic modeling for applying thermodynamic constraints on reaction rates, metabolite concentrations and kinetic parameters. The increasing scope diversity models has led scientists to look genome-scale solutions that can estimate the standard energy all metabolism. Group contribution methods greatly increase coverage, albeit at price decreased precision. We present here a way combine estimations group with more accurate...

10.1371/journal.pcbi.1003098 article EN cc-by PLoS Computational Biology 2013-07-11

The human gut microbiome performs important functions in health and disease. A classic example for host-gut microbial co-metabolism is host biosynthesis of primary bile acids their subsequent deconjugation transformation by the microbiome. To understand these system-level host-microbe interactions, a mechanistic, multi-scale computational systems biology approach that integrates different types omic data needed. Here, we use systematic workflow to computationally model acid metabolism...

10.1186/s40168-019-0689-3 article EN cc-by Microbiome 2019-05-15

Biochemical network reconstructions have become popular tools in systems biology. Metabolicnetwork are biochemically, genetically, and genomically (BiGG) structured databases of biochemical reactions metabolites. They contain information such as exact reaction stoichiometry, reversibility, the relationships between genes, proteins, reactions. Network been used extensively to study phenotypic behavior wild-type mutant stains under a variety conditions, linking genotypes with phenotypes. Such...

10.1128/ecosalplus.10.2.1 article EN EcoSal Plus 2010-12-31

The human gut microbiota consists of ten times more microorganisms than there are cells in our body, processes otherwise indigestible nutrients, and produces important energy precursors, essential amino acids, vitamins. In this study, we assembled validated a genome-scale metabolic reconstruction Bacteroides thetaiotaomicron (iAH991), prominent representative the microbiota, consisting 1488 reactions, 1152 metabolites, 991 genes. To create comprehensive model host-microbe interactions,...

10.4161/gmic.22370 article EN Gut Microbes 2013-01-01
Federico Baldini Johannes Hertel Estelle Sandt Cyrille C. Thinnes Lorieza Neuberger-Castillo and 95 more Lukas Pavelka Fay Betsou Rejko Krüger Ines Thiele Gloria Aguayo Dominic Allen Wim Ammerlann Maike K. Aurich Rudi Balling Peter Banda Katy Beaumont Regina Becker Daniela Berg Sylvia Binck Alexandre Bisdorff Dheeraj Reddy Bobbili Kathrin Brockmann Jessica Calmes Lorieza Castillo Nico J. Diederich Rene Dondelinger Daniela Esteves Jean-Yves Ferrand Ronan M. T. Fleming Manon Gantenbein Thomas Gasser Piotr Gawron Lars Geffers Virginie Giarmana Enrico Glaab Clarissa P. C. Gomes Nikolai Goncharenko Jérôme Graas Mariela Graziano Valentin Grouès Anne Grünewald Wei Gu Gaël Hammot Anne-Marie Hanff Linda Hansen Maxime Hansen Hulda S. Haraldsdóttir Laurent Heirendt Sylvia Herbrink Sascha Herzinger Michaël Heymann Karsten Hiller Géraldine Hipp Joshua Shulman Laëtitia Huiart Alexander Hundt Nadine Jacoby Jacek Jarosław Yohan Jaroz Pierre Kolber Joachim Kutzera Zied Landoulsi Catherine Larue Roseline Lentz Inga Liepelt Robert Liszka Laura Longhino Victoria Lorentz Clare E. Mackay Walter Maetzler Katrin Marcus Guilherme Fernandes Marques Jan Martens Conny Mathay Piotr Matyjaszczyk Patrick May Françoise Meisch Myriam Menster Maura Minelli Michel Mittelbronn Brit Mollenhauer Kathleen Mommaerts Carlos S. Moreno Friedrich Mühlschlegel Romain Nati Ulf Nehrbass Sarah L. Nickels Béatrice Nicolai Jean-Paul Nicolay Alberto Noronha Wolfgang H. Oertel Marek Ostaszewski Sinthuja Pachchek Claire Pauly Magali Perquin Dorothea Reiter Isabel Rosety Kirsten Rump Venkata Satagopam Marc Schlesser

Parkinson's disease (PD) is a systemic clinically defined by the degeneration of dopaminergic neurons in brain. While alterations gut microbiome composition have been reported PD, their functional consequences remain unclear. Herein, we addressed this question an analysis stool samples from Luxembourg Study (n = 147 typical PD cases, n 162 controls).All individuals underwent detailed clinical assessment, including neurological examinations and neuropsychological tests followed self-reporting...

10.1186/s12915-020-00775-7 article EN cc-by BMC Biology 2020-06-09

The human microbiome influences the efficacy and safety of a wide variety commonly prescribed drugs. Designing precision medicine approaches that incorporate microbial metabolism would require strain- molecule-resolved, scalable computational modeling. Here, we extend our previous resource genome-scale metabolic reconstructions gut microorganisms with greatly expanded version. AGORA2 (assembly organisms through reconstruction analysis, version 2) accounts for 7,302 strains, includes...

10.1038/s41587-022-01628-0 article EN cc-by Nature Biotechnology 2023-01-19

Metabolic network reconstructions represent valuable scaffolds for ‘-omics’ data integration and are used to computationally interrogate properties. However, they do not explicitly account the synthesis of macromolecules (i.e., proteins RNA). Here, we present first genome-scale, fine-grained reconstruction Escherichia coli's transcriptional translational machinery, which produces 423 functional gene products in a sequence-specific manner accounts all necessary chemical transformations....

10.1371/journal.pcbi.1000312 article EN cc-by PLoS Computational Biology 2009-03-12

Abstract Background Metabolic reconstructions (MRs) are common denominators in systems biology and represent biochemical, genetic, genomic (BiGG) knowledge-bases for target organisms by capturing currently available information a consistent, structured manner. Salmonella enterica subspecies I serovar Typhimurium is human pathogen, causes various diseases its increasing antibiotic resistance poses public health problem. Results Here, we describe community-driven effort, which more than 20...

10.1186/1752-0509-5-8 article EN BMC Systems Biology 2011-01-18

Parkinson's disease (PD) exhibits systemic effects on the human metabolism, with emerging roles for gut microbiome. Here, we integrate longitudinal metabolome data from 30 drug-naive, de novo PD patients and matched controls constraint-based modeling of microbial communities derived an independent, drug-naive cohort, prospective general population. Our key results are (1) trajectory metabolites associated interconversion methionine cysteine via cystathionine differed between controls; (2)...

10.1016/j.celrep.2019.10.035 article EN cc-by Cell Reports 2019-11-01

The application of constraint-based modeling to functionally analyze metagenomic data has been limited so far, partially due the absence suitable toolboxes.

10.1093/bioinformatics/bty941 article EN cc-by-nc Bioinformatics 2018-11-19

Motivation: Genome-scale metabolic reconstructions summarize current knowledge about a target organism in structured manner and as such highlight missing information. Such gaps can be filled algorithmically. Scalability limitations of available algorithms for gap filling hinder their application to compartmentalized reconstructions. Results: We present fastGapFill, computationally efficient tractable extension the COBRA toolbox that permits identification candidate from universal biochemical...

10.1093/bioinformatics/btu321 article EN cc-by-nc Bioinformatics 2014-05-07

Abstract Parkinson's disease (PD)‐specific neurons, grown in standard 2D cultures, typically only display weak endophenotypes. The cultivation of PD patient‐specific derived from induced pluripotent stem cells carrying the LRRK2‐G2019S mutation, is optimized 3D microfluidics. automated image analysis algorithms are implemented to enable pharmacophenomics disease‐relevant conditions. In contrast this approach reveals robust High‐content imaging data show decreased dopaminergic differentiation...

10.1002/advs.201800927 article EN cc-by Advanced Science 2018-11-20
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