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volcano plot of protein da analysis showing the position of the esophagus specific proteome  (Human Protein Atlas)

 
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    Human Protein Atlas volcano plot of protein da analysis showing the position of the esophagus specific proteome
    Volcano Plot Of Protein Da Analysis Showing The Position Of The Esophagus Specific Proteome, supplied by Human Protein Atlas, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/volcano+plot+analysis/volcano+plot+of+protein+da+analysis+showing+the+position+of+the+esophagus+specific+proteome/pm37287363-180-86-91
    Average 90 stars, based on 1 article reviews
    volcano plot of protein da analysis showing the position of the esophagus specific proteome - by Bioz Stars, 2026-09
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    Related Articles

    Quantitative Proteomics:

    Article Title: Proteomic analysis of the esophageal epithelium reveals key features of eosinophilic esophagitis pathophysiology.
    Article Snippet: .. DA proteins were significantly associated F I G U R E 6 Comparative study of proteomics analysis. (A) Volcano plot of protein DA analysis showing the position of the EDP genes.24 Dot color indicates the value of the fold change in EDP. (B) Volcano plot of protein differential expression analysis showing the position of the Eso- EoE genes panel.25 Dot color indicates the value of the fold change in transcriptomics assigned to each protein. (C) Volcano plot of protein DA analysis showing the position of the esophagus specific proteome according to Human Protein Atlas 2022. ..

    Transcriptomics:

    Article Title: Proteomic analysis of the esophageal epithelium reveals key features of eosinophilic esophagitis pathophysiology.
    Article Snippet: .. DA proteins were significantly associated F I G U R E 6 Comparative study of proteomics analysis. (A) Volcano plot of protein DA analysis showing the position of the EDP genes.24 Dot color indicates the value of the fold change in EDP. (B) Volcano plot of protein differential expression analysis showing the position of the Eso- EoE genes panel.25 Dot color indicates the value of the fold change in transcriptomics assigned to each protein. (C) Volcano plot of protein DA analysis showing the position of the esophagus specific proteome according to Human Protein Atlas 2022. ..



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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