Excited to share that our paper “Synergizing Metabolomics and Artificial Intelligence for Advancing Precision Oncology” has been published in @TrendsMolecMed! We discuss the latest advances and our perspectives on this. Check it out here: https://t.co/1grxFqi2qL
"Demonstrates regulatory mechanisms and potential therapeutic targets for ZIKV-induced microcephaly [&] that metabolic alterations can be potentially exploited for developing therapeutic strategies."
Kuddos Huanhuan Pang, Zeping Hu & et al!
Schematic overview and multi-omics👇
The @TheFangGroupUiO medical students Ole Kristian Reiten, Martin Andreas Wilvang, with collaborators Sarah Mitchell and Zeping Hu just published a review summarized recent progress of NAD+ in health, ageing, and Alzheimer.
https://t.co/bcprIZiboT
https://t.co/fPgD1M300b
Research| Lei Song and Zeping Hu’s groups describe the #metabolome and #lipidome of heart and plasma from individuals with #HypertrophicCardiomyopathy (HCM) and identify metabolite panels that can be used HCM diagnostic markers or predictors of survival.
https://t.co/jrJIaZY7I1
NEW #ResearchHighlight! Nie et al. @ZepingHuLab performed #metabolomics profiling on samples from patients during the development of invasive lung adenocarcinoma & showed that metabolic pathways are progressively disrupted.
📯 https://t.co/ymshUdp1iK
@natrescancer #lungcancer
The @ZepingHuLab developed a 3-nitrophenylhydrazine derivatization strategy for LC-MS/MS based metabolomics analysis with high sensitivity, broad coverage and facilitating metabolic flux analysis. https://t.co/7tLpAxZ40n
Our new work online in @NatureComms uncovers metabolic trajectories from preneoplasia to lung adenocarcinoma, revealing circulating biomarkers for early detection and patient stratification, and potential therapeutic targets for lung cancer. https://t.co/XzPIVArega
@harryetaylor@NatMetabolism Thx Harry! Sorry for the late reply. We can go down to 10 cells or even lower but the number of the detected metabolites could be smaller. We are still developing more sensitive tech hopefully we can achieve workable single cell method in near future. Stay tuned.
@NatMetabolism Using our ultra-sensitive metabolomics technology, we reconstruct the metabolic landscape in two-cell and blastocyst embryos and identify the reciprocal roles of α-KG and L-2-HG during early mouse embryos https://t.co/iit5EKOfrv