11 research outputs found

    An integrated analysis based on Metaboanalyst software (pathway tool) for a simplified view of contributing pathways.

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    <p>The panel shows a view of metabolism in cancers depicting glycolysis and Krebs cycle which are modified to different processes like lipid and amino acid synthesis to meet the requirement of proliferating cells. (Metabolites depicted with green/red are decreased/increased in the present study).</p

    Comparison of renal function parameters between WT1 positive and WT1 negative diabetic subjects.

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    <p>Box plots comparing; A) Estimated GFR; B) Urine protein-to- creatinine ratio; C) Urine albumin-to-creatinine ratio; and D) serum Creatinine levels between WT1 positive and WT1 negative diabetic patients. The boxes indicate median and 25th and 75th percentiles; Outliers are indicated by closed dots. Data were compared by the Mann-Whitney U test. p<0.05 was considered significant.</p

    Score Plot Generated From PCA And PLS-DA Analysis Of NMR Spectra Of Serum From Healthy Control And Patient Groups.

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    <p>(A) PCA and (D) PLS-DA score plot generated for healthy control vs. patient group, (B) PCA and (E) PLS-DA score plot generated for healthy control and high IP<sub>3</sub>R group, (C) PCA and (F) PLS-DA score plot generated for healthy control and low IP<sub>3</sub>R group.</p

    Inhibition of IP<sub>3</sub>R in MCF -7 breast cancer cells effects metabolism.

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    <p>Glucose uptake in MCF-7 cells was analyzed using NBDG a fluorescently labeled deoxy glucose analogue as a probe for detection of glucose taken up by cultured cells. Quantitative estimation of glucose uptake, using a cell based assay kit, was performed as per instructions provided by the manufacturer (Cayman, USA). Cells were plated in 96-well plates and treated with 25 μM XeC for 24 hours or with siC (non-targeted siRNA) or siIP<sub>3</sub>R2 or siIP<sub>3</sub>R3 (72 hours,Fig7A and 7D) Representative graph in MCF-7 cells. (Fig 7B and 7E) Representative graph showing percentage of glucose uptake as estimated using cell based assay in MDA MB-231 cells. (Fig7C and 7F) Representative graph showing percentage of glucose uptake as estimated using cell based assay in MCF 10A cells. RNA was extracted from treated and untreated cells and cDNA was prepared (Fig 7G) RT profiler PCR array for glucose as well as mitochondrial metabolism genes was performed using cDNA prepared from mRNA of MCF-7 cells. Data represent mean ±SEM. *p< 0.05, ***p< 0.001 compared to vehicle.</p

    <sup>1</sup>H NMR Metabolomics Reveals Association of High Expression of Inositol 1, 4, 5 Trisphosphate Receptor and Metabolites in Breast Cancer Patients - Fig 5

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    <p>Score plot and corresponding loading plot generated from PLS-DA analysis between (A) healthy control and patient group, (B) healthy control and high IP<sub>3</sub>R group, (C) healthy control and low IP<sub>3</sub>R group.</p

    Analysis of expression of Inositol 1, 4, 5-trisphosphate receptors type 2 (IP<sub>3</sub>R2) and type 3 (IP<sub>3</sub>R3) in tumor tissue of breast cancer patients.

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    <p>Relative mRNA expression of (A) IP<sub>3</sub>R1, (B) IP<sub>3</sub>R2 (p<0.001) and (C) IP<sub>3</sub>R3 (p<0.001) from tumoral and extra-tumoral tissues of breast cancer patients was analyzed using Real -time PCR. Analysis of tumoral and extra-tumoral tissues was done by incubating the tissue sections with antibodies against (D) IP<sub>3</sub>R2 and (E) IP<sub>3</sub>R3, and detected using DAB staining.</p

    Comparison of WT-1 expression and presence of proteinuria (ACR) in diabetic patients at various eGFR cutoffs.

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    <p>Bar graph showing percentage of patents detected with proteinuria or WT1 expression in urinary exosomes at various cutoff values of eGFR between 60–90 ml. min<sup>−1</sup>/1.73 m<sup>2</sup>). WT-1 expression was detected in higher percentage of patients at earlier fall in GFR (eGFR<70/80/90 ml. min<sup>−1</sup>/1.73 m<sup>2</sup>).</p
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