List of Studies ( Metabolite:Cer 18:0;O3/20:0)
Study_id | Analysis_id | Study_title | Source | Species | Disease | Institute | Units(range) |
---|---|---|---|---|---|---|---|
ST002283 | AN003730 | The “ForensOMICS” approach to forensic post-mortem interval estimation: combining metabolomics, lipidomics and proteomics for the analysis human skeletal remains | Bone | Human | University of Central Lancashire | Area integration | |
ST002283 | AN003731 | The “ForensOMICS” approach to forensic post-mortem interval estimation: combining metabolomics, lipidomics and proteomics for the analysis human skeletal remains | Bone | Human | University of Central Lancashire | Area integration | |
ST002145 | AN003511 | The Carbohydrate Sensing Transcription Factor ChREBP Links Mitochondrial Lipidomes to Mitochondrial Dynamics and Progression of Diabetic Nephropathy | Cultured cells | Mouse | Diabetes | University of Texas MD Anderson Cancer Center | AUC/ngDNA |
ST002145 | AN003512 | The Carbohydrate Sensing Transcription Factor ChREBP Links Mitochondrial Lipidomes to Mitochondrial Dynamics and Progression of Diabetic Nephropathy | Cultured cells | Mouse | Diabetes | University of Texas MD Anderson Cancer Center | AUC/ngDNA |
ST002195 | AN003593 | Untargeted lipidomics studies in the course of dermatitis onset and progression | Skin | Mouse | Dermatitis | Graduate School of Pharmaceutical Sciences, Keio University | CPM/mg |
ST001059 | AN001733 | Lipidomics for wildlife disease etiology and biomarker discovery: a case study of pansteatitis outbreak in South Africa (part-II) | Adipose tissue | Fish | Inflammation | South East Center for Integrated Metabolomics | mg/kg (relative quantification, NOT ABSOLUTE) |
ST002880 | AN004719 | Hypoxia-driven dynamics of tomato root lipidome | Plant roots | Tomato | Leibniz Institute for Plasma Science and Technology | normalized relative abundance (a.u.) | |
ST000963 | AN001577 | Lipidomics of inflammation-induced optic nerve regeneration | Eye tissue | Rat | Eye disease | Bascom Palmer Eye Institute, University of Miami | Peak area |
ST001063 | AN001740 | Lipidomics analysis for aged mice organs | Adipose tissue | Mouse | Takeda Pharmaceutical Company Limited | Peak area | |
ST001063 | AN001740 | Lipidomics analysis for aged mice organs | Brain | Mouse | Takeda Pharmaceutical Company Limited | Peak area | |
ST001063 | AN001740 | Lipidomics analysis for aged mice organs | Liver | Mouse | Takeda Pharmaceutical Company Limited | Peak area | |
ST001063 | AN001740 | Lipidomics analysis for aged mice organs | Muscle | Mouse | Takeda Pharmaceutical Company Limited | Peak area | |
ST002411 | AN003930 | Spatial, temporal, and inter-subject variation of the metabolome along the human upper intestinal tract (MS RP negative data) | Intestine | Human | UC Davis | peak height | |
ST001725 | AN002810 | Lipidomics dataset of Danio rerio optic nerve regeneration model | Eye tissue | Zebrafish | Eye disease | University of Miami | ug/ml |