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We used genome-scale modeling and multi-omics (transcriptomics, proteomics, and metabolomics) analysis to assess metabolic features that are critical for macrophage activation. We constructed a genome-scale metabolic network for the RAW 264.7 cell line to determine metabolic modulators of activation...
ORGANISM(S): Mus musculus 
Increased salinity constitutes an important and frequent fluctuation faced by D. vulgaris in its natural habitat. Using data from microarray experiments, we investigated the effects of excess NaCl on D. vulgaris. Keywords: stress response, time course Comparison of cells treated with 250mM NaCl to u...
ORGANISM(S): Desulfovibrio vulgaris subsp. vulgaris str. Hildenborough 
Sweat is emerging as a prominent biosource for real-time human performance monitoring applications. Although promising, sources of variability must be identified to truly utilize sweat for biomarker applications. In this proof-of-concept study, a targeted metabolomics method was applied to sweat col...
2021-03-15 | MTBLS2427 | MetaboLights

Breast Cancer Subject Participant ID 700064 (Source Sample names: 6888 and 206). We used massively parallel DNA sequencing technologies to screen entire genomes, in an unbiased manner, for genetic changes associated with tumor growth and metastasis. We describe the complete genome sequence ...

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