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MANA Fall Symposium 2022:
We are what we eat: Metabolomics leading the way for nutrition research
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Oliver Fiehn |
WCMC |
| Determining food and dietary intake by objective methods |
Lars Dragsted |
University of Copenhagen |
| Nutritional metabolomics and the study of dietary patterns in clinical and epidemiological studies |
Cristina Andres Lacueva |
University of Barcelona |
| Advances in glycomics - the marriage of proteomics and metabolomics |
Carlito Lebrilla |
UC Davis |
| The exposome in precision medicine and precision nutrition |
Susan Sumner |
University of North Carolina |
| The precision nutrition clinical trials at UC Davis |
Francene Steinberg |
UC Davis |
| Standardizing metabolomics and lipidomics platforms for the analysis of food composition |
Steven Watkins |
Periodic Table of Foods Initiative |
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MANA Summer Symposium 2021:
Novel analytical strategies for scoring confidence in compound annotation
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Oliver Fiehn |
WCMC |
| Utilizing Multidimensional Measurements for Rapid and Confident Omic Analyses |
Erin Baker |
North Carolina State University |
| Identifying Exposome Chemicals: Measured Data, Metadata, Metabolism and More |
Emma Schymanski |
University of Luxembourg, Luxembourg |
| High confidence structure annotation for tandem mass spectrometry data with SIRIUS |
Kai Dührkop |
University of Jena |
| The integrity of MS1 and MS/MS for improved confidence in metabolite annotation |
Joanna Godzien |
University of Bilastystok |
| Metabolome resolving dimensions: resolution, capacity, and orthogonality |
Corey Broeckling |
Colorado State University |
| Developing Software for Building the Tandem Mass Spectral Libraries of Small Molecules and Peptides |
Xiaoyu (Sara) Yang |
NIST |
| Multi-dimensional mass spectrometry measurements and standards-free compound identification: the good, the bad, and the ugly |
Thomas Metz |
PNNL |
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MANA Summer Symposium 2020 :
Biological and computational interpretation of metabolomic datasets
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WCMC / UC Davis |
| Moving metabolomcs into the clinic |
David Wishart |
U Edmonton, Alberta |
| Multi-omics network signatures of complex disease |
Jan Krumsiek |
Weil Cornell Medicine |
| Integrating metabolomicsand genomics data to understand metabolism of complex biological systems |
Christopher Henry |
Argonne National Lab |
| Interpreting the Lipidome - approaches to embrace the complexity |
Jennifer Kyle |
Pacific Northwest Nat'l. Lab |
| Metabolomics in monitoring health and disease across thousands of people using longitudinal deep phenotyping |
Nathan Price |
Inst.Systems Biol., Seattle |
| Using Machine Learning to advance metabolomics analysis (3 weeks embargoed for publication) |
Soha Hassoun |
Tufts U |
| Towards a systems level understanding of microbial metabolism |
Daniel Amador-Noguez |
U Wisconsin |
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MANA Summer Symposium 2019 :
Quantum Chemistry and Computional Methods for Compound Identification
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WCMC/ UC Davis |
| Quantum chemistry prediction of NMR and EI mass spectra |
Stefan Grimme |
Univeristy of Bonn |
| Cheminformatics tools for enabling metabolomics |
Yannick D. Feunang |
Corteva Agriscience |
| ISiCLE ion mobility prediction, deep learning, quantum chemistry/ DFT |
Ryan Renslow |
PNNL |
| Spectral -library based methods for identifying compounds not in the library |
Stephen Stein |
NIST |
| neural networks for predicting El mass spectra |
Jennifer Wei |
Google |
| Integrated Computational and Empirical Tools to address the Metobolomics Grand Challenges of confident Metabolite Identification and increased Depth-of -Coverage |
LLoyd Sumner |
U Missouri |
| Spectral deconvolution for constructing pure mass spectra for compound ID |
Xiuxia Du |
U North Carolina |
| Mass Spectrometry Annotation and Analysis at the Repository Scale |
Pieter Dorrestein |
UC San Diego |
| MetDNA: Metabolic Reaction Network-based Recursive Metabolite Annotation |
Zheng-Jiang Zhu |
Chinese Academy of Science |
| Predicting retention times, Ecom50, CCS, IR and MSMS spectra |
David Grant |
U Conneticut |
| Confidence in compound ID: software, databases and tools |
Ivana Blazenovic |
DiscernDX |
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Health: kidney diseases
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| Lipidomic Signature of Chronic Kidney Disease |
Farasad Afshinnia |
MRC2 |
| Translational Research in Diabetic Kidney Disease, |
Sub Pennathur |
MRC2 |
| Urine Metabolomics Profile in Early CKD |
Snezana Petrovic |
MetSoc / Wake Forest |
| Metabolomics of renal development and acute kidney Injury in premature infants |
Patrick Brophy |
MetSoc / U Iowa |
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Health: lung diseases
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| Proteo-metabolomics dissection of small cell lung cancer |
Jiannong Li |
MetSoc/ Moffitt |
| Metabolomics of neonatal pulmonary hypertension |
Stephen Wedgwood |
MetSoc/ UC Davis |
| Metabolomics in human fibroblasts from Idiopathic pulmonary fibrosis patients |
Biao Hu |
MetSoc / U Michigan |
| Profiling of downstream metabolites of L-arginine in severe asthmatics |
Nicholas Kenyon |
MetSoc / UC Davis |
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Health: obesity, muscle and cardiovascular diseases
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| Pharmacometabolomics Identifies Acylcarnitines Associated With Beta Blocker Induced Fasting Glucose Alterations |
Rhonda Cooper-DeHoff |
MetSoc / U Florida |
| Metabolite Changes Associated with Obesity and Weight Loss |
Olivia Osborn |
MetSoc / UC San Diego |
| Impact of Muscle Insulin and IGF-1 Signaling on Serum and Muscle Metabolite Profiles |
Brian O'Neill |
MetSoc / Joslin Diabetes Ctr |
| Metabolomics of Blood Pressure Regulation |
Cristina Menni |
NIH / King's College London |
| Metabolomic Analysis of Duchenne Muscular Dystrophy |
Brittany Lee-McMullen |
MetSocc / U Florida |
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Health: neuronal diseases
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| Metabolic alterations in patients with Alzheimer's disease |
Eugenia Trushina |
MetSoc / Mayo Clinics |
| The Soluble Epoxide Hydrolase "Omics-Trio" Revealed Potential Treatment Targets for Anorexia Nervosa |
Pei-an Betty Shih |
MetSoc / UC San Diego |
| Untargeted metabolomics to reveal genotype-phenotype correlation in X-linked adrenoleukodystrophy |
Jaspreet Singh |
MetSoc/ Detroit |
| Metabolomic Analysis Reveals PUFA Metabolism in Bipolar Disorder |
Simon Evans |
MRC2 |
| Metabolism in Bipolar Disorder |
Simon Evans |
MRC2 |
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Health: food and gut microbiota
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| Metabolomics for food composition and food biomarker analysis |
David Wishart |
ILSI NA / U Edmonton |
| Nutritional Metabolomics to Identify Biomarkers of Dietary Patterns and Specific Diet Exposures |
Mary Playdon |
NIH / NCI |
| Systemic metabolic impact of early-life microbiota disruption |
Laura Cox |
MetSoc / Harvard |
| Resistance Against Clostridium difficile in the Large Intestine |
Casey Theroit |
MRC2 |
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Health: other areas
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| PUFA Case Study on Targeted Metabolomics |
Charles Burant |
MRC2 |
| Using Metabolomics to Assess Drug Response Phenotypes |
Oliver Fiehn |
U Minnesota / UC Davis |
| Genetics meets metabolomics: From association to translation |
Karsten Suhre |
NIH / Qatar |
| Glycolysis, cancer and metabolomics |
James Watson |
Web of Stories |
| Metabolomic Profiling of Early Events in Retinal Degeneration |
Ellen Weiss |
MetSoc / UNC Chapel Hill |
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Grand challenges in metabolomics
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| Large-scale, confident metabolite identification |
Lloyd W. Sumner |
PAMM-net |
| Metabolomics databases and computational infrastructures |
Oliver Fiehn,
Pieter Dorrestein |
PAMM-net |
| Temporal and spatial accumulation of metabolites |
John McLean ,
Pieter Dorrestein |
PAMM-net |
| Standardization of metabolomics workflows |
Lloyd W. Sumner |
PAMM-net |
| Sensitivity, dynamic range, depth-of-coverage |
Liang Li |
PAMM-net |
| Cost, throughput and data comparability |
Philip Britz-McKibbin |
PAMM-net |
| Large-scale quantification and flux |
A. Daniel Jones |
PAMM-net |
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