java gsea desktop application software v3.0 (Broad Institute Inc)
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Java Gsea Desktop Application Software V3.0, supplied by Broad Institute Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
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1) Product Images from "METTL3 expression is associated with glycolysis metabolism and sensitivity to glycolytic stress in hepatocellular carcinoma"
Article Title: METTL3 expression is associated with glycolysis metabolism and sensitivity to glycolytic stress in hepatocellular carcinoma
Journal: Cancer Medicine
doi: 10.1002/cam4.2918
Figure Legend Snippet: METTL3 expression was associated with altered glucose metabolism in HCC cases. A, Illustration of enzymes involved the key steps in glucose metabolic flux. B, Heatmap with cluster analysis of METT3 expression and glucose metabolism related genes revealed a co‐expression trend between METTL3 and genes involved in glycolysis. C, D, GSEA plot of two predefined gene sets based on the METTL3 expression revealed genes involved in normal glucose metabolism were significantly enriched in HCC cases with lower METTL3 expression, which suggesting that normal glucose metabolism was preserved in these cases. E, A heatmap displaying the Spearman rank correlation test results which implied positive correlation between METTL3 expression and glycolysis‐related genes and negative correlation between METTL3 expression and glycogenesis‐related genes, the bar indicates the value of spearman correlation coefficient
Techniques Used: Expressing
Figure Legend Snippet: Correlation between METTL3 expression and activity of mTORC1 activity. A, GSEA plot of mTOR signal pathway based on METTL3 expression levels in TCGA cases. B, HCC cell lines were treated with siRNA oligonucleotides or not, then the indicated proteins were detected by WB. (C‐G) The HCC cell lines were treated with rapamycin or co‐treated with siRNA oligonucleotides, for 48 h followed by immunoblotting for mTOR phosphorylation levels (C), glucose uptake assays in HCC cells Huh‐7 (D) and SMMC‐7721 (E), and lactate production assays in Huh‐7 cell line (F) and SMMC‐7721 cell line (G). H, I, Gene‐specific m6A‐IP‐qPCR results showing the relative methylation levels of five RNAs in the HCC cell lines treated with siRNA oligonucleotides compared to those normal control cells
Techniques Used: Expressing, Activity Assay, Western Blot, Phospho-proteomics, Methylation, Control
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![Unbiased gene set enrichment analysis <t>(GSEA)</t> and muscular nicotinamide adenine dinucleotide (NAD + ) levels. (A) Volcano plot summarizing the results of unbiased GSEA with the normalized enrichment score (NES) and nominal P-value [−log 10 (P-val)]. Pink dots indicates statistically significantly altered gene sets. (B) Bubble plot highlighting representative gene sets linked to lactate metabolism. It indicates that for each gene set, the depth of the purple color indicates the nominal P-value, and the size of the node indicates the size. (C) Representative enrichment plot generated by GSEA related with lactate metabolism. NES, nominal (Nom) P-values, and false discovery rate (FDR) Q values are indicated. (D) Heatmap displaying representative genes of three genes, lactate metabolism, Mitochondrial electron transport NADH to ubiquinone, and Inner mitochondrial membrane protein complex. (E) NAD + levels in gastrocnemius. All values are represented as mean ± standard deviation, and the P-values were determined by one-way ANOVA followed by Tukey’s test. P-values of < 0.01 (**), and < 0.0001 (****) were considered statistically significant.](https://pub-med-central-images-cdn.bioz.com/pub_med_central_ids_ending_with_5566/pmc10315566/pmc10315566__bmb-56-6-353-f4.jpg)

