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Huan Meng, M.D. Ph.D.
M.D. in Clinical Medicine, China Medical University
Huan Meng, M.D. Ph.D.
M.D. in Clinical Medicine, China Medical University
M.Sc. in Artificial Intelligence, University of Edinburgh
M.Sc. in Artificial Intelligence, University of Edinburgh
Ph.D. in Clinical and Molecular Medicine, University of Edinburgh
Ph.D. in Clinical and Molecular Medicine, University of Edinburgh
I have a robust multidisciplinary background in molecular genetics, genomics, metabolomics, metabolism, and gene regulation, with a particular focus on metabolic pathophysiology and cancer metabolism & epigenetics.
I have a robust multidisciplinary background in molecular genetics, genomics, metabolomics, metabolism, and gene regulation, with a particular focus on metabolic pathophysiology and cancer metabolism & epigenetics.
Temporal and Spatial Regulation of Metabolism and Stress Responses
Temporal and Spatial Regulation of Metabolism and Stress Responses
As a lead investigator, my goal is to establish an independent laboratory dedicated to unraveling the complexities of metabolic regulation and clock control in metabolism and inflammation, particularly their dysregulation caused by overnutrition and environmental stresses in human diseases, including cancer, diabetes, obesity and neurodegeneration.
As a lead investigator, my goal is to establish an independent laboratory dedicated to unraveling the complexities of metabolic regulation and clock control in metabolism and inflammation, particularly their dysregulation caused by overnutrition and environmental stresses in human diseases, including cancer, diabetes, obesity and neurodegeneration.
To achieve this, I use multidisciplinary approaches that include CRISPR engineering, single-cell genomics, spatial transcriptomics & metabolomics, and bioinformatics. My research program is designed to shed light on the mechanisms that lead to the deregulation of clock–metabolic crosstalk under various nutritional and environmental stresses, and how this contributes to metabolic pathologies and cancer.
To achieve this, I use multidisciplinary approaches that include CRISPR engineering, single-cell genomics, spatial transcriptomics & metabolomics, and bioinformatics. My research program is designed to shed light on the mechanisms that lead to the deregulation of clock–metabolic crosstalk under various nutritional and environmental stresses, and how this contributes to metabolic pathologies and cancer.
CONTRIBUTIONS TO SCIENCE
Determined the role of the novel ultradian 12-hour clock in the onset and progression of nonalcoholic fatty liver disease (NAFLD) and prediabetic syndromes.
Elucidated the mechanisms by which an endoplasmic reticulum (ER) stress regulator XBP1 modulates lipid membrane fluidity, mitochondrial functions, and lipid homeostasis.
Defined the biochemical, physiological, and lipid metabolic basis for rhythmic control of the 12-hour clock in diverse lipid metabolic pathways via SRC-3 coactivation.
Developed bulk and single-cell ‘multi-omics’ experimental and bioinformatic pipelines, integrating chronobiological mathematics for quantitative analysis of whole-genomic transcriptomics, cistromics, proteomics, and metabolomics.
Identified new mechanisms in proteostasis in castration-resistant prostate cancer and KRAS pancreatic cancer.
Elucidated the mechanisms by which SWI/SNF chromatin remodeler controls the synthesis of eRNAs, RNAPII pausing, and long-range interactions between promoters and enhancers in mESCs.
Established CRISPR-Cas9 in mESCs and Recombineering (recombination-mediated genetic engineering) in mouse and humanized mouse models.
Dissected the activity of two methyl-CpG binding proteins, MBD4 and MeCP2, to better understand their pathogenic roles in human cancer and neurodevelopmental diseases.
Developed a synapse clustering-based artificial intelligence and bioinformatic program for memory based on protein interaction network proximity.
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