Additional file 6: of Metabolic signatures differentiate ovarian from colon cancer cell lines

Supplemental Figure 3. Dipeptides were significantly upregulated in ovarian cancer cells compared with colon cancer cells. The log-scaled metabolite intensities are presented as box plots representing the median values of experiments performed in 10 (HCT15, HTC116, OVCAR3) and 8 (SKOV3) replicates. Values were obtained after statistical data analysis using the metaP server

Using Runtime Traces to Improve Documentation and Unit Test Authoring for Dynamic Languages

Supplemental Figure 3. Dipeptides were significantly upregulated in ovarian cancer cells compared with colon cancer cells. The log-scaled metabolite intensities are presented as box plots representing the median values of experiments performed in 10 (HCT15, HTC116, OVCAR3) and 8 (SKOV3) replicates. Values were obtained after statistical data analysis using the metaP server

Additional file 5: of Metabolic signatures differentiate ovarian from colon cancer cell lines

Supplemental Table 3. Metabolites that significantly distinguish HCT116 from HCT15

Additional file 1: of Metabolic signatures differentiate ovarian from colon cancer cell lines

Supplemental Figure 1. Identification of outliers using PCA. PCA score plots generated by the metaP server reveal distinct clustering of HCT15 (dark blue), HCT116 (light blue), OVCAR3 (red), and SKOV3 (orange). Two sample outliers were identified in the SKOV3 cell line and were removed from the analysis

Additional file 2: of Metabolic signatures differentiate ovarian from colon cancer cell lines

Supplemental Table 1. Metabolites present in all examined cell lines. Star (*) indicates compounds that have not been officially “plexed” (based on a standard), although we are confident in their identity

Effect of induced hypoglycemia on inflammation and oxidative stress in type 2 diabetes and control subjects

Intensive diabetes control has been associated with increased mortality in type 2 diabetes (T2DM); this has been suggested to be due to increased hypoglycemia. We measured hypoglycemia-induced changes in endothelial parameters, oxidative stress markers and inflammation at baseline and after a 24-hour period in type 2 diabetic (T2DM) subjects versus age-matched controls. Case-control study: 10 T2DM and 8 control subjects. Blood glucose was reduced from 5 (90 mg/dl) to hypoglycemic levels of 2.8 mmol/L (50 mg/dl) for 1 hour by incremental hyperinsulinemic clamps using baseline and 24 hour samples. Measures of endothelial parameters, oxidative stress and inflammation at baseline and at 24-hours post hypoglycemia were performed: proteomic (Somalogic) analysis for inflammatory markers complemented by C-reactive protein (hsCRP) measurement, and proteomic markers and urinary isoprostanes for oxidative measures, together with endothelial function. Between baseline and 24 -hours after hypoglycemia, 15 of 140 inflammatory proteins differed in T2DM whilst only 1 of 140 differed in controls; all returned to baseline at 24-hours. However, elevated hsCRP levels were seen at 24-hours in T2DM (2.4 mg/L (1.2–5.4) vs. 3.9 mg/L (1.8–6.1), Baseline vs 24-hours, P Other Information Published in: Scientific Reports License: https://creativecommons.org/licenses/by/4.0See article on publisher's website: http://dx.doi.org/10.1038/s41598-020-61531-z</p

Optimisation à l'échelle du paysage pour un compromis entre services écosystémiques

Metabolomics data from the second sample collection, measured by Metabolon (DS2). (XLSX 379 kb

Additional file 1: of Metabolomics of dates (Phoenix dactylifera) reveals a highly dynamic ripening process accounting for major variation in fruit composition

Figure S1. Phenotyping the date samples. Figure S2. Iterative optimization of the O2PLS-DA classifier. Figure S3. Quality control based on Metabolon/MetaSysX replicate measurements. Figure S4. Heatmap analysis based on DS1-bolon data. Figure S5. Boxplots of PC3&4 loading values arranged by metabolic class. (PPTX 567 kb

Additional file 3: of Metabolomics of dates (Phoenix dactylifera) reveals a highly dynamic ripening process accounting for major variation in fruit composition

Sample processing and metabolomics measurement. (DOCX 31 kb

Intracellular differences between IR and IS.

<p>Metabolites with nominal inter-group difference (p<0.05); EMI: Energy Metabolite Intermediates; HE =  heteroscedastic unpaired two-sided t-test, HO =  homoscedastic unpaired two-sided t-test, Wil =  Wilcoxon test, ME =  median test; p-value: p_Bonferroni≤0.0004. H/L: metabolite-values in IR higher/lower vs. IS; PC: Phosphatidylcholine, aa/ae: acyl/ether side chain; SM: sphingolipids. * contrarily regulated in extracellular milieu.</p