List of Studies ( Metabolite:Meso-tartaric acid)
| Study_id | Analysis_id | Study_title | Source | Species | Disease | Institute | Analysis Type |
|---|---|---|---|---|---|---|---|
| ST004403 | AN007362 | Polar metabolomics on cell pellets and extracellular media of 4-week iPSC derived forebrain excitatory neurons generated from a FXS and CRISPR edited isogenic control. | Cultured cells | Human | Genetic disease | UMass Chan Medical School | LC-MS |
| ST004403 | AN007362 | Polar metabolomics on cell pellets and extracellular media of 4-week iPSC derived forebrain excitatory neurons generated from a FXS and CRISPR edited isogenic control. | Culture media | Human | Genetic disease | UMass Chan Medical School | LC-MS |
| ST004402 | AN007360 | Polar metabolomics on intracellular media of induced pluripotent stem cells (iPSC) derived forebrain excitatory neurons generated from a FXS and CRISPR edited isogenic control. | Culture media | Human | Genetic disease | UMass Chan Medical School | LC-MS |
| ST004401 | AN007358 | Polar metabolomics on extracellular media of induced pluripotent stem cells (iPSC) derived forebrain excitatory neurons generated from a FXS and CRISPR edited isogenic control. | Culture media | Human | Genetic disease | UMass Chan Medical School | LC-MS |
| ST004399 | AN007354 | Intracellular polar metabolomics on neural progenitor cells (NPCs) generated using dual SMAD inhibition method from Fragile X Syndrome (FXS) and CRISPR edited isogenic rescue induced pluripotent stem cells (iPSCs). | Cultured cells | Human | Genetic disease | UMass Chan Medical School | LC-MS |
| ST004398 | AN007352 | Polar metabolomics on neural progenitor cells (NPCs) generated using the dual SMAD inhibition method from Fragile X Syndrome (FXS) and typically developing (TD) induced pluripotent stem cells (iPSCs). | Cultured cells | Human | Genetic disease | UMass Chan Medical School | LC-MS |
| ST004396 | AN007348 | More intracellular polar metabolomics on Lymphoblastoid cell lines (LCL) between individuals with Fragile X Syndrome (FXS) and from typically developing (TD) male controls. (Repeat on cell from more patients) | Cultured cells | Human | Genetic disease | UMass Chan Medical School | LC-MS |
| ST003736 | AN006131 | The Chromosome-Scale Assembly and Multi-Omics Analysis Reveal Adaptive Evolution and Nitrogen Utilization Mechanisms in Edible Grass (Rumex patientia L.× Rumex tianschanicus A. LOS) | Rhizosphere | Rumex patientia | Hunan Agricultural University | LC-MS | |
| 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 | LC-MS |
| ST003408 | AN005593 | Untargeted analysis of urine samples in a Longitudinal analysis of environmental exposures in pregnancy. | Urine | Human | Baylor College of Medicine | LC-MS | |
| ST003298 | AN005403 | Annual changes on metabolomics profile in latex | Latex | Rubber tree | Sumitomo Riko Co., Ltd. | LC-MS | |
| ST003036 | AN004978 | 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 | LC-MS |
| ST002869 | AN004703 | Identifying Biodegradation Pathways of Cetrimonium Bromide (CTAB) Using Metagenome, Metatranscriptome, and Metabolome Tri-omics Integration | Water | Bacteria | Environmental exposure | Arizona State University | LC-MS |
| ST002866 | AN004699 | The role of PFAS exposures in nonalcoholic fatty liver disease and hepatocellular carcinoma in the Multiethnic Cohort | Blood | Human | Cancer | University of Southern California | LC-MS |
| ST002866 | AN004699 | The role of PFAS exposures in nonalcoholic fatty liver disease and hepatocellular carcinoma in the Multiethnic Cohort | Blood | Human | NASH | University of Southern California | LC-MS |
| ST002179 | AN003569 | Impact of nitisinone on the cerebrospinal fluid metabolome of a murine model of alkaptonuria | Cerebrospinal fluid | Mouse | Genetic disease | University of Liverpool Institute of Life Course & Medical Sciences | LC-MS |
| ST002094 | AN003422 | Commensal intestinal microbiota regulates host luminal proteolytic activity and intestinal barrier integrity through β-glucuronidase activity (Part 1) | Feces | Human | Irritable bowel syndrome | Mayo Clinic | LC-MS |
| ST002016 | AN003284 | Metabolomics of COVID patients | Blood | Human | COVID-19 | University of Virginia | LC-MS |
| ST001788 | AN002900 | β-Adrenergic regulation of metabolism in macrophages (part-IV) | Macrophages | Human | Monash University | LC-MS | |
| ST001373 | AN002293 | Targeting Sirt2 reprograms T cell metabolism for effective immune response | Spleen | Mouse | Moffitt Cancer Center | LC-MS | |
| ST001218 | AN002031 | Wild type versus TRACK Mice on regular chow and Vitamin A deprived diet | Kidney | Mouse | Cancer | Weill Cornell Medicine | LC-MS |
| ST001175 | AN001951 | Multi-omics analysis demonstrates unique mode of action of a potent new antimalarial compound, JPC-3210, against Plasmodium falciparum | Plasmodium cells | Plasmodium falciparum | Malaria | Monash University | LC-MS |
| ST000549 | AN000838 | Investigating large scale metabolomics in mice serum lacking insulin receptors and IGF-1 receptors | Blood | Mouse | Diabetes | Mayo Clinic | LC-MS |
| ST000414 | AN000656 | Metabolomics-based screening of the Malaria Box reveals both novel and established mechanisms of action | Cells | Plasmodium falciparum | Malaria | Monash Institute of Pharmaceutical Sciences | LC-MS |
