List of Studies ( Metabolite:Dihydroclavaminic acid)
Study_id | Analysis_id | Study_title | Source | Species | Disease | Institute | Units(range) |
---|---|---|---|---|---|---|---|
ST002016 | AN003284 | Metabolomics of COVID patients | Blood | Human | COVID-19 | University of Virginia | intensity |
ST001788 | AN002900 | β-Adrenergic regulation of metabolism in macrophages (part-IV) | Macrophages | Human | Monash University | Intensity | |
ST002307 | AN003769 | Metabolomics profiling of the secondary fractions 4 of bacterial culture supernatants. | Bacterial cells | Bacillus megaterium | Myalgic encephalomyelitis/chronic fatigue syndrome | University of Connecticut | peak area |
ST002307 | AN003769 | Metabolomics profiling of the secondary fractions 4 of bacterial culture supernatants. | Bacterial cells | Enterococcus faecium | Myalgic encephalomyelitis/chronic fatigue syndrome | University of Connecticut | peak area |
ST000291 | AN000464 | LC-MS Based Approaches to Investigate Metabolomic Differences in the Urine of Young Women after Drinking Cranberry Juice or Apple Juice | Urine | Human | University of Florida | Peak area | |
ST000292 | AN000466 | LC-MS Based Approaches to Investigate Metabolomic Differences in the Plasma of Young Women after Drinking Cranberry Juice or Apple Juice | Blood | Human | University of Florida | Peak area | |
ST002066 | AN003365 | Glutaminase inhibition impairs CD8 T cell activation in STK11/Lkb1 deficient lung cancer | Lung | Mouse | Cancer | The Walter and Eliza Hall Institute of Medical Research | peak height |
ST003024 | AN004958 | Identifying and mathematically modeling the time-course of extracellular metabolic markers associated with resistance to ceftolozane/tazobactam in Pseudomonas aeruginosa - Part 1 | Bacterial cells | Bacteria | Monash Institute of Pharmaceutical Sciences | peak height | |
ST003036 | AN004977 | Identifying and mathematically modeling the time-course of extracellular metabolic markers associated with resistance to ceftolozane/tazobactam in Pseudomonas aeruginosa - Part 2 | Bacterial cells | Pseudomonas aeruginosa | Bacterial infection | Monash Institute of Pharmaceutical Sciences | peak height |
ST003053 | AN005006 | Providing insight into the mechanism of action of Cationic Lipidated Oligomers (CLOs) using metabolomics | Bacterial cells | Staphylococcus aureus | Bacterial infection | Monash University | peak height |
ST003521 | AN005783 | Metabolic Profiling Unveils Enhanced Antibacterial Synergy of Polymyxin B and Teixobactin against Multi-Drug Resistant Acinetobacter baumannii | Bacterial cells | Acinetobacter baumannii | Bacterial infection | Monash University | peak height |
ST000546 | AN000832 | Multi-omics based identification of specific biochemical changes associated with PfKelch13-mutant artemisinin resistant Plasmodium | Cells | Plasmodium falciparum | Malaria | Monash Institute of Pharmaceutical Sciences, Monash University | Peak height |
ST003179 | AN005222 | Property and Activity Refinement of Dihydroquinazolinone-3-carboxamides as Orally Efficacious Antimalarials that Target PfATP4 | Plasmodium cells | Plasmodium falciparum | Malaria | Monash University | Peak height |
ST000549 | AN000838 | Investigating large scale metabolomics in mice serum lacking insulin receptors and IGF-1 receptors | Blood | Mouse | Diabetes | Mayo Clinic | Peak intensity |
ST001549 | AN002580 | β-Adrenergic regulation of metabolism in macrophages (part-III) | Macrophages | Human | Monash University | Peak intensity |