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volcano plot analysis  (Galectin Therapeutics)

 
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    Galectin Therapeutics volcano plot analysis
    Volcano Plot Analysis, supplied by Galectin Therapeutics, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/volcano+plot/analysis+plot+volcano/pmc12805959-115-1-20
    Average 86 stars, based on 1 article reviews
    volcano plot analysis - by Bioz Stars, 2026-11
    86/100 stars

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    Related Articles

    other:

    Article Title: Novel lncRNA LNC_000113 Drives the Activation of Pulmonary Adventitial Fibroblasts through Modulating PTEN/Akt/FoxO1 Pathway
    Article Snippet: A volcano plot demonstrating lncRNA expression in PAFs with Galectin-3 versus PAFs without Galectin-3 is presented ( B).

    Article Title: Pharmacological Blockade of LPAR1 Does Not Provide Neuroprotection in a Rat Model of Ocular Hypertensive Glaucoma
    Article Snippet: A volcano plot analysis of the normalized pixel densities identified one changed cytokine between NT vehicle and OHT vehicle conditions (Galectin-3) and five changed cytokines between NT vehicle and OHT PIPE conditions (Galectin-3, Fetuin A, ICAM-1, CNTF and RBP4) to be changed more than twofold.

    Significance Assay:

    Article Title: Galectin-7 as a biomarker for aggressiveness and poor prognosis in thymic epithelial tumors.
    Article Snippet: .. Volcano plot analysis highlighted Galectin-7 as one of the most significantly upregulated proteins in high-risk TETs, with a log2 fold-change of 1.5 and adjusted p-value < 0.05 (Fig. 1d). ..

    Article Title: Galectin-7 as a biomarker for aggressiveness and poor prognosis in thymic epithelial tumors
    Article Snippet: .. Volcano plot analysis highlighted Galectin-7 as one of the most significantly upregulated proteins in high-risk TETs, with a log2 fold-change of 1.5 and adjusted p-value < 0.05 ( d ). .. Proteomic identification and validation of Galectin-7 as a biomarker for high-risk thymic epithelial tumors (TETs). (a)Experimental workflow for proteomic profiling and validation. (b) Heatmap showing differential protein expression across high-risk TETs (B2/B3 thymomas and TSCC) and low-risk TETs (A/AB/B1 thymomas). (c) PCA illustrating distinct molecular clustering of high-risk and low-risk TETs. (d) Volcano plot highlighting Galectin-7 (LGALS7) as one of the most significantly upregulated proteins in high-risk TETs, with a fold-change > 1.5 and an adjusted p-value < 0.05. (e) GSEA showing enriched pathways in high-risk TETs, including extracelluar exosome and metabolic processes, with downregulated pathways cell to cell adhesion. (f) GO analysis of differentially expressed proteins. (g) Violin plot of Galectin-7 expression in tumor versus adjacent normal tissues (**** p < 0.0001). (h) Violin plot showing significantly higher Galectin-7 expression in high-risk compared to low-risk TETs (**** p < 0.0001).

    Analysis:

    Article Title: Galectin-7 as a biomarker for aggressiveness and poor prognosis in thymic epithelial tumors
    Article Snippet: .. Volcano plot analysis highlighted Galectin-7 as one of the most significantly upregulated proteins in high-risk TETs, with a log2 fold-change of 1.5 and adjusted p-value < 0.05 ( d ). .. Proteomic identification and validation of Galectin-7 as a biomarker for high-risk thymic epithelial tumors (TETs). (a)Experimental workflow for proteomic profiling and validation. (b) Heatmap showing differential protein expression across high-risk TETs (B2/B3 thymomas and TSCC) and low-risk TETs (A/AB/B1 thymomas). (c) PCA illustrating distinct molecular clustering of high-risk and low-risk TETs. (d) Volcano plot highlighting Galectin-7 (LGALS7) as one of the most significantly upregulated proteins in high-risk TETs, with a fold-change > 1.5 and an adjusted p-value < 0.05. (e) GSEA showing enriched pathways in high-risk TETs, including extracelluar exosome and metabolic processes, with downregulated pathways cell to cell adhesion. (f) GO analysis of differentially expressed proteins. (g) Violin plot of Galectin-7 expression in tumor versus adjacent normal tissues (**** p < 0.0001). (h) Violin plot showing significantly higher Galectin-7 expression in high-risk compared to low-risk TETs (**** p < 0.0001).



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    Image Search Results


    a The genome-wide association signals for chalky grain rate (CGR) and degree of chalkiness (DC) in the region at 18–21 Mb on chromosome 9 ( x -axis) across two years. Negative log 10 -transformed P values from the linear mixed model are plotted on the y -axis. The horizontal dashed line indicates the genome-wide significance threshold ( P = 1×10 –6 ). P values were determined using a two-sided Wald test and assessed after Bonferroni correction for multiple comparisons. b Linkage disequilibrium (LD) heatmap of the Chalk9 locus region. Pairwise linkage disequilibrium was determined by calculating r 2 (the square of the correlation coefficient between SNPs). c Relative expression level of the 12 candidate genes in the endosperm of eight high-chalky and eight low-chalky varieties at 20 days after flowering (DAF). The 12 predicted genes in the Chalk9 locus region are labeled by I to XII. Data show means ± SD ( n = 8 varieties). P values were calculated for comparisons between high-chalky and low-chalky groups, with each group comprising 8 varieties. d Relative expression level of the candidate gene III ( Chalk9 ) in the endosperm from the selected varieties at 20 DAF. The P value was calculated for the comparison between high-chalky and low-chalky groups, with each group comprising 8 varieties. Data show means ± SD ( n = 3 biological replicates). e Relative expression level of the 12 candidate genes in the leaves of eight high-chalky and eight low-chalky varieties. Data show means ± SD ( n = 8 varieties). In c – e , statistical analysis between high-chalky and low-chalky groups was performed by two-tailed Student’s t -test. Source data are provided as a Source Data file.

    Journal: Nature Communications

    Article Title: Natural variation of an E3 ubiquitin ligase encoding gene Chalk9 regulates grain chalkiness in rice

    doi: 10.1038/s41467-025-61683-4

    Figure Lengend Snippet: a The genome-wide association signals for chalky grain rate (CGR) and degree of chalkiness (DC) in the region at 18–21 Mb on chromosome 9 ( x -axis) across two years. Negative log 10 -transformed P values from the linear mixed model are plotted on the y -axis. The horizontal dashed line indicates the genome-wide significance threshold ( P = 1×10 –6 ). P values were determined using a two-sided Wald test and assessed after Bonferroni correction for multiple comparisons. b Linkage disequilibrium (LD) heatmap of the Chalk9 locus region. Pairwise linkage disequilibrium was determined by calculating r 2 (the square of the correlation coefficient between SNPs). c Relative expression level of the 12 candidate genes in the endosperm of eight high-chalky and eight low-chalky varieties at 20 days after flowering (DAF). The 12 predicted genes in the Chalk9 locus region are labeled by I to XII. Data show means ± SD ( n = 8 varieties). P values were calculated for comparisons between high-chalky and low-chalky groups, with each group comprising 8 varieties. d Relative expression level of the candidate gene III ( Chalk9 ) in the endosperm from the selected varieties at 20 DAF. The P value was calculated for the comparison between high-chalky and low-chalky groups, with each group comprising 8 varieties. Data show means ± SD ( n = 3 biological replicates). e Relative expression level of the 12 candidate genes in the leaves of eight high-chalky and eight low-chalky varieties. Data show means ± SD ( n = 8 varieties). In c – e , statistical analysis between high-chalky and low-chalky groups was performed by two-tailed Student’s t -test. Source data are provided as a Source Data file.

    Article Snippet: Correlation analysis, heatmap plotting, and volcano plot analysis were performed using BMKCloud ( www.biocloud.net ).

    Techniques: GWAS, Transformation Assay, Genome Wide, Expressing, Labeling, Comparison, Two Tailed Test