Looking to enhance the quality and confidence of your MS metabolomic and lipidomic analyses? Cambridge Isotope Laboratories, Inc. (CIL), in partnership with ISOtopic Solutions and Novachem, is pleased to offer U-13C labeled (and unlabeled) metabolite- and lipid-specific yeast extracts. These dried-down extracts provide the unique capability of measuring 100s of metabolites or fatty acids/lipids in a single run.
These extracts have been rigorously characterized by a number of methodologies and are amenable to a variety of research uses after simple reconstitution. The components in the extracts span broad metabolic classes (e.g., amino and organic acids, sugar phosphates, coenzymes, fatty acids and lipids), biochemical pathways (e.g., citrate and glyoxylate cycle, nucleotide and lipid metabolism), and cellular/molecular processes (e.g., intracellular signaling, immune system, blood coagulation, lipolysis).
Uses
- Targeted or untargeted, MS-based analysis
- Method and instrument QC
- Quantitation
- Biomarker discovery and verification
Benefits
- Reduces measurement uncertainty
- Improves precision and accuracy
- Enhances identification confidence
- Decreases development time and cost
Products
- ISO1 - Metabolite Yeast Extract (U-13C, 98%)
- ISO1-UNL - Metabolite Yeast Extract (unlabeled)
- ISO1-KIT - Metabolite Yeast Extract Kit NEW!
- L-ISO1 - Crude Lipid Yeast Extract (U-13C, 99%) NEW!
- L-ISO1-UNL - Crude Lipid Yeast Extract (unlabeled) NEW!
Dry extract of Pichia pastoris cells (strain CBS 7435). Produced by ISOtopic Solutions (isotopic-solutions.com).
References
Reiter, A.; Asgari, J.; Wiechert, W.; et al. 2022 . Metabolic footprinting of microbial systems based on comprehensive in silico predictions of MS/MS relevant data. Metabolites, 12(3), 257-280.
Zhao, X.; Golic, F.T.; Harrison, B.R,; et al. 2022 . The metabolome as a biomarker of aging in Drosophila melanogaster. Aging Cell, 21(2), e13548.
Rampler, E.; Hermann, G.; Grabmann, G.; et al. 2021 . Benchmarking non-targeted metabolomics using yeast-derived libraries. Metabolites, 11(3), 160-179.
Mairinger, T.; Weiner, T.; Hann, S.; et al. 2020 . Selective and accurate quantification of N -acetylglucosamine in biotechnological cell samples via GC-MS/MS and GC-TOFMS. Anal Chem, 92(7), 4875-4883.
Galvez, L.; Rusz, M.; Schwaiger-Haber, M.; et al. 2019 . Preclinical studies on metal based anticancer drugs as enabled by integrated metallomics and metabolomics. Metallomics , 11(10), 1716-1728.
Demarest, T.G.; Truong, G.T.D.; Lovett, J.; et al. 2019 . Assessment of NAD + metabolism in human cell cultures, erythrocytes, cerebrospinal fluid and primate skeletal muscle. Anal Biochem, 572, 1-8.
Hermann, G.; Schwaiger, M.; Volejnik, P.; et al. 2018 . 13 C-labelled yeast as internal standard for LC-MS/MS and LC high resolution MS-based amino acid quantification in human plasma. J Pharm Biomed Anal, 155, 329-334.
Guijas, C.; Montenegro-Burke, J.R.; Domingo-Almenara, X.; et al. 2018 . METLIN: A technology platform for identifying knowns and unknowns. Anal Chem, 90(5), 3156-3164.
Si-Hung, L.; Causon, T.J.; Hann, S. 2017 . Comparison of fully wettable RPLC stationary phases for LC-MS-based cellular metabolomics. Electrophoresis, 38(18), 2287-2295.
Schwaiger, M.; Rampler, E.; Hermann, G.; et al. 2017 . Anion-exchange chromatography coupled to high-resolution mass spectrometry: A powerful tool for merging targeted and non-targeted metabolomics. Anal Chem, 89(14), 7667-7674.
Ortmayr, K.; Hann, S.; Koellensperger, G. 2015 . Complementing reversed-phase selectivity with porous graphitized carbon to increase the metabolome coverage in an on-line two-dimensional LC-MS setup for metabolomics. Analyst, 140(10), 3465-3473.
Neubauer, S.; Chu, D.B.; Marx, H.; et al. 2015 . LC-MS/MS-based analysis of coenzyme A and short-chain acyl-coenzyme A thioesters. Anal Bioanal Chem, 407(22), 6681-6688.