3 Results for "

multi--omics

" in MedChemExpress (MCE) Product Catalog:
Products (3)

3 Results for "multi--omics" in MCE Product Catalog:

Cat. No.: HY-128421
CAS No.: 505-52-2
Purity:  99.93%
Synonyms: Brassylic Acid
Tridecanedioic acid is an endogenous metabolite. Tridecanedioic acid is an endogenous metabolite. Tridecanedioic acid is related to the metabolic regulation of non-alcoholic fatty liver disease (NASH) and may be an important node molecule in the intestinal microbiota-host metabolism interaction network. Tridecanedioic acid is significantly accumulated in tolerant cabbage-type rapeseed varieties and has a lower content in sensitive varieties. It plays an important role in the defense response against the infection of the small cabbage moth (Plutella xylostella). Tridecanedioic acid can be used as a biomarker for plant insect resistance or a diagnostic marker for metabolic diseases .
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Cat. No.: HY-L215
5,956 compounds

Metabolomics, positioned as the systemic characterization of small-molecule metabolites within biological systems, has emerged as an indispensable analytical platform in both fundamental research and translational applications across plant sciences, microbial biotechnology, and biomedical investigations. Functioning as a critical component in multi-omics integration, this discipline deciphers the intricate molecular networks operating downstream of genomic, transcriptomic, and proteomic regulation, thereby capturing the dynamic biochemical phenotype closest to organismal functionality. The metabolome, comprising endogenous compounds with molecular weights typically below 1500 Da, serves as the functional readout of cellular processes and environmental interactions, where perturbations in metabolic networks are frequently implicated in disease pathogenesis. Such unique attributes have propelled metabolomics into a pivotal role in pharmacological research, particularly in target deconvolution, pharmacodynamic assessment, and mechanistic elucidation of pathological processes.

MCE can provide 5,956 mass spectrometry human metabolites that can be used for metabolite identification and quantification, functional cell detection and phenotypic screening of mass spectrometry.

Cat. No.: HY-L252
75 compounds

Carbohydrate metabolism serves as a central hub for energy supply and biosynthesis in living organisms and plays a critical role in the onset and progression of various diseases. In recent years, studies have shown that tumor cells reprogram their energy metabolism through aerobic glycolysis (the Warburg effect) to support rapid proliferation. Immune cells also rely on specific carbohydrate metabolic pathways to regulate their activation and differentiation states, while disorders such as diabetes and metabolic syndrome arise directly from dysregulation of carbohydrate metabolism. In addition, enzymes and key metabolic nodes involved in carbohydrate metabolism have become important targets for drug discovery, and therapeutic strategies targeting glycolysis, the pentose phosphate pathway, and energy metabolism are continuously advancing the treatment of cancer and metabolic diseases. Therefore, systematic analysis of carbohydrate metabolic networks and their associated metabolites is of great significance for elucidating disease mechanisms and developing novel therapeutic approaches.

The MCE Carbohydrate Metabolism Metabolite Library is constructed based on classical carbohydrate metabolic pathways and contains 75 metabolites. It systematically integrates key metabolic networks, including glycolysis, the pentose phosphate pathway, the tricarboxylic acid (TCA) cycle, monosaccharide metabolism, and sugar acid interconversions. The library comprehensively covers core metabolic nodes from glucose uptake and utilization to energy production and biosynthesis, while also incorporating important upstream and downstream intermediates. It enables accurate representation of intracellular metabolic flux dynamics and is well suited for applications such as metabolic flux analysis, target validation, and mechanistic studies. Furthermore, it provides robust support for multi-omics integration and the development of precision intervention strategies.