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Journal: Cell chemical biology

Article Title: Profiling the metabolism of human cells by deep 13 C labeling

doi: 10.1016/j.chembiol.2018.09.004

Figure Lengend Snippet: Key Resources Table

Article Snippet: Inc. Cat#GLC-018 Critical Commercial Assays Deposited Data Experimental Models: Cell Lines HCT116 ATCC Cat#ATCC ® CCL-247TM MCF7 ATCC Cat#ATCC ® HTB-22TM HeLa ECACC Cat#93021013 Experimental Models: Organisms/Strains Oligonucleotides Recombinant DNA Software and Algorithms mzAccess ( http://www.mzaccess.org/ ) (Lyutvinskiy et al. 2017) N/A Mathematica v10 Wolfram Research N/A GraphPad Prism version 7 software GraphPad Software N/A Other SnakeSkinTM Dialysis Tubing, 3.5K MWCO, 35 mm Thermo Fisher Scientific Cat#88244 Cell scraper with two-position blade, scraper length: 25 cm Sarstedt Cat#83.1830 Cell culture dish 10 cm Sarstedt Cat#83.1830 Cell culture plates, 6-well Sarstedt Cat#83.3920 Open in a separate window Key Resources Table Rich data on endogenous metabolites and active pathways from a single cell culture In HCT116 cancer cells, hundreds of synthesized metabolites were unknown Cells scavenge nutrients from serum and lack central synthesis pathways Branched-chain keto acids were metabolized and could substitute for amino acids Significance As cellular metabolism is increasingly recognized as a key factor for a range of human disorders, charting the metabolic activity of various human cell types is of great importance.

Techniques: Virus, Recombinant, Software, Cell Culture