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umap plot  (CH Instruments)

 
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    CH Instruments umap plot
    Immune infiltration heterogeneity of ESCC with distinct therapeutic responses. (a) <t>UMAP</t> plot showing clustering for immune cells from 10 patients with ESCC (left), expression of selected genes (middle) and distribution according to different therapeutic responses (right). (b) Dot plot showing the expression of PDCD1 and CD274 in immune cell clusters from responders and non-responders. (c) Lollipop chart showing difference of proportions of immune cell clusters in patients with different MMR status (left) and therapeutic responses (right) (scales of circles indicate the –log P value; Student's t test). (d) Expression heatmap of signature genes in distinct lymphocyte clusters. (e) UMAP plot showing <t>the</t> <t>subclustering</t> for CD4 + T cells from 10 patients with ESCC (left), expression of selected genes (middle) and distribution in different therapeutic responses (right). (f) Lollipop chart showing differences of proportions of CD4 + T cell subclusters from patients with different MMR status (left) and therapeutic responses (right) (scales of circles indicate the –log P value; Student's t test). (g) UMAP plot showing the subclustering for B cells from 10 patients with ESCC (left), expression of selected genes (middle) and distribution according to different therapeutic responses (right). (h) Lollipop and column chart showing difference of proportions of B cell subclusters from patients with different MMR status (scales of circles indicate the –log P value; Student's t test; left) and therapeutic responses (Chi-square test; right). P values are indicated in the figure.
    Umap Plot, supplied by CH Instruments, 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/umap+plot/umap+plot/pmc10831182-170-162-223
    Average 90 stars, based on 1 article reviews
    umap plot - by Bioz Stars, 2026-09
    90/100 stars

    Images

    1) Product Images from "Genomic profiling and associated B cell lineages delineate the efficacy of neoadjuvant anti-PD-1-based therapy in oesophageal squamous cell carcinoma"

    Article Title: Genomic profiling and associated B cell lineages delineate the efficacy of neoadjuvant anti-PD-1-based therapy in oesophageal squamous cell carcinoma

    Journal: eBioMedicine

    doi: 10.1016/j.ebiom.2024.104971

    Immune infiltration heterogeneity of ESCC with distinct therapeutic responses. (a) UMAP plot showing clustering for immune cells from 10 patients with ESCC (left), expression of selected genes (middle) and distribution according to different therapeutic responses (right). (b) Dot plot showing the expression of PDCD1 and CD274 in immune cell clusters from responders and non-responders. (c) Lollipop chart showing difference of proportions of immune cell clusters in patients with different MMR status (left) and therapeutic responses (right) (scales of circles indicate the –log P value; Student's t test). (d) Expression heatmap of signature genes in distinct lymphocyte clusters. (e) UMAP plot showing the subclustering for CD4 + T cells from 10 patients with ESCC (left), expression of selected genes (middle) and distribution in different therapeutic responses (right). (f) Lollipop chart showing differences of proportions of CD4 + T cell subclusters from patients with different MMR status (left) and therapeutic responses (right) (scales of circles indicate the –log P value; Student's t test). (g) UMAP plot showing the subclustering for B cells from 10 patients with ESCC (left), expression of selected genes (middle) and distribution according to different therapeutic responses (right). (h) Lollipop and column chart showing difference of proportions of B cell subclusters from patients with different MMR status (scales of circles indicate the –log P value; Student's t test; left) and therapeutic responses (Chi-square test; right). P values are indicated in the figure.
    Figure Legend Snippet: Immune infiltration heterogeneity of ESCC with distinct therapeutic responses. (a) UMAP plot showing clustering for immune cells from 10 patients with ESCC (left), expression of selected genes (middle) and distribution according to different therapeutic responses (right). (b) Dot plot showing the expression of PDCD1 and CD274 in immune cell clusters from responders and non-responders. (c) Lollipop chart showing difference of proportions of immune cell clusters in patients with different MMR status (left) and therapeutic responses (right) (scales of circles indicate the –log P value; Student's t test). (d) Expression heatmap of signature genes in distinct lymphocyte clusters. (e) UMAP plot showing the subclustering for CD4 + T cells from 10 patients with ESCC (left), expression of selected genes (middle) and distribution in different therapeutic responses (right). (f) Lollipop chart showing differences of proportions of CD4 + T cell subclusters from patients with different MMR status (left) and therapeutic responses (right) (scales of circles indicate the –log P value; Student's t test). (g) UMAP plot showing the subclustering for B cells from 10 patients with ESCC (left), expression of selected genes (middle) and distribution according to different therapeutic responses (right). (h) Lollipop and column chart showing difference of proportions of B cell subclusters from patients with different MMR status (scales of circles indicate the –log P value; Student's t test; left) and therapeutic responses (Chi-square test; right). P values are indicated in the figure.

    Techniques Used: Expressing

    Related Articles

    Expressing:

    Article Title: Genomic profiling and associated B cell lineages delineate the efficacy of neoadjuvant anti-PD-1-based therapy in oesophageal squamous cell carcinoma
    Article Snippet: .. Immune infiltration heterogeneity of ESCC with distinct therapeutic responses. (a) UMAP plot showing clustering for immune cells from 10 patients with ESCC (left), expression of selected genes (middle) and distribution according to different therapeutic responses (right). (b) Dot plot showing the expression of PDCD1 and CD274 in immune cell clusters from responders and non-responders. (c) Lollipop chart showing difference of proportions of immune cell clusters in patients with different MMR status (left) and therapeutic responses (right) (scales of circles indicate the –log P value; Student's t test). (d) Expression heatmap of signature genes in distinct lymphocyte clusters. (e) UMAP plot showing the subclustering for CD4 + T cells from 10 patients with ESCC (left), expression of selected genes (middle) and distribution in different therapeutic responses (right). (f) Lollipop chart showing differences of proportions of CD4 + T cell subclusters from patients with different MMR status (left) and therapeutic responses (right) (scales of circles indicate the –log P value; Student's t test). (g) UMAP plot showing the subclustering for B cells from 10 patients with ESCC (left), expression of selected genes (middle) and distribution according to different therapeutic responses (right). (h) Lollipop and column chart showing difference of proportions of B cell subclusters from patients with different MMR status (scales of circles indicate the –log P value; Student's t test; left) and therapeutic responses (Chi-square test; right). ..



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    Image Search Results


    Correlation of IFC features with phenotypic features (A) Correlation plot showing the correlation between IFC features and clinical phenotypes. All clinical features were converted to binary parameters (Yes = Present, No=Not present) and correlation was calculated using Spearman’s correlation. The color coding and dot size correlate with Spearman’s rho coefficient. (B) All significant correlations have been plotted as a boxplot. For the boxplots, the values of each of the five features ( <xref ref-type=Table 1 ) were normalized against the mean of the healthy control taken along within the same experiment and converted to percentages. Statistics were calculated using Welsch’s t test. The black line indicates the median value, the lower and upper hinges correspond to the 25th and 75th percentiles. The upper and lower whisker extend to 1.5∗IQR. (C) Showing the UMAP plots from Figures 2 C and A. The nodes are colored according to the presence of neuropathy (Yes, No, NA). NA means that the specific feature was not assessed in patients. Statistical significance between the two clusters was calculated using Fisher’s exact test. Neuropathy was the only clinical feature that had a significant association with one of the clusters. " width="100%" height="100%">

    Journal: iScience

    Article Title: Imaging flow cytometry reveals divergent mitochondrial phenotypes in mitochondrial disease patients

    doi: 10.1016/j.isci.2024.111496

    Figure Lengend Snippet: Correlation of IFC features with phenotypic features (A) Correlation plot showing the correlation between IFC features and clinical phenotypes. All clinical features were converted to binary parameters (Yes = Present, No=Not present) and correlation was calculated using Spearman’s correlation. The color coding and dot size correlate with Spearman’s rho coefficient. (B) All significant correlations have been plotted as a boxplot. For the boxplots, the values of each of the five features ( Table 1 ) were normalized against the mean of the healthy control taken along within the same experiment and converted to percentages. Statistics were calculated using Welsch’s t test. The black line indicates the median value, the lower and upper hinges correspond to the 25th and 75th percentiles. The upper and lower whisker extend to 1.5∗IQR. (C) Showing the UMAP plots from Figures 2 C and A. The nodes are colored according to the presence of neuropathy (Yes, No, NA). NA means that the specific feature was not assessed in patients. Statistical significance between the two clusters was calculated using Fisher’s exact test. Neuropathy was the only clinical feature that had a significant association with one of the clusters.

    Article Snippet: All graphs and UMAP plots were created using R-studio, except for the line chart of A, which was created with GraphPad Prism version 6 for Windows.

    Techniques: Control, Whisker Assay