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Metabolomics is the large-scale study of cellular metabolic complement, with proven utility in both basic and applied studies of plants, microorganisms, and mammals. As an important tool for the study of complex biological systems, metabolomics monitors the complex molecular networks that exist in the natural flow of information from genes to mRNA and proteins to organisms. The metabolome is composed of biomolecules that most closely resemble the phenotype of an organism, and changes in its composition can easily lead to the production of diseases. Therefore, metabolomics has received much attention in drug target discovery, drug response and translational research of disease mechanisms. Mass spectrometry-based metabolomics methods can simultaneously detect and quantify thousands of metabolite signatures, thereby characterizing the pathophysiological mechanisms of various biomedical symptoms.

MCE can provide 659 mass spectrometry human endogenous metabolites that can be used for metabolite identification and quantification, functional cell detection and phenotypic screening of mass spectrometry.

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 5,318 mass spectrometry human metabolites that can be used for metabolite identification and quantification, functional cell detection and phenotypic screening of mass spectrometry.

This library contains about 439,804 natural and synthetic screening compounds. The information in the database includes logP, H-bond donors, H-bond acceptors, rotable bonds.

Techniques for reprogramming somatic cells create new opportunities for drug screening, disease modeling, artificial organ development, and cell therapy. The development of reprogramming techniques has grown exponentially since Yamanaka reprogrammed somatic cells to become induced pluripotent stem cells (iPSCs) using four transcription factors, OCT4, SOX2, KLF4, and c-MYC in 2006. Despite the development of efficient reprogramming methods, most methods are inappropriate for clinical applications because they carry the risk of integrating exogenous genetic factors or use oncogenes. Alternative approaches, such as those based on miRNA, non-viral genes, non-integrative vectors, and small molecules, have been studied as possible solutions to the problems. Among these alternatives, small molecules are attractive options for clinical applications. Reprogramming using small molecules is inexpensive and easy to control in a concentration- and time-dependent manner. It offers a high level of cell permeability, ease of synthesis and standardization, and it is appropriate for mass-producing cells.

MCE Reprogramming Compound Library contains a unique collection of 2,567 compounds that act on reprogramming signaling pathways. These compounds are potential stimulators for reprogramming. This library is a useful tool for researching reprogramming and regenerative medicine.

FBN1 Human Pre-designed siRNA Set A contains three designed siRNAs for FBN1 gene (Human), as well as a negative control, a positive control, and a FAM-labeled negative control.