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spatially resolved metabolomics profiling  (MetWare Ltd)

 
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    MetWare Ltd spatially resolved metabolomics profiling
    Spatial <t>metabolomics</t> profiled shows that TZP reduced glycolysis in the colon cancer tissues. A) Illustration of colonic and peritumoral tissues used for spatial metabolomic datasets. B) Examples of the microscopy‐mass spectrometry imaging (MSI) overlay. MSI images of D‐glucose (m/z = 249.1235) and H&E images of CRC tissue sections. Scale bar: 50 µm C) Heatmap of glycolysis‐related metabolites across all experimental animals of both groups. Red represented higher levels and blue, lower levels. D) Region‐specific MS images of CRC tissue sections. E) Violin plotting to show data distribution and its probability density; the thin black line extending from it, the 95% confidence interval; the black horizontal line in the middle, the median; and the outer shape, the distribution density of the data ( n = 3). Statistical significance was determined by unpaired t‐test and p values were adjusted with the t unpaired test comparisons test.
    Spatially Resolved Metabolomics Profiling, supplied by MetWare Ltd, 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/result/spatially resolved metabolomics profiling/product/MetWare Ltd
    Average 90 stars, based on 1 article reviews
    spatially resolved metabolomics profiling - by Bioz Stars, 2026-04
    90/100 stars

    Images

    1) Product Images from "The Novel Dual GIP and GLP‐1 Receptor Agonist Tirzepatide Attenuates Colon Cancer Development by Regulating Glucose Metabolism"

    Article Title: The Novel Dual GIP and GLP‐1 Receptor Agonist Tirzepatide Attenuates Colon Cancer Development by Regulating Glucose Metabolism

    Journal: Advanced Science

    doi: 10.1002/advs.202411980

    Spatial metabolomics profiled shows that TZP reduced glycolysis in the colon cancer tissues. A) Illustration of colonic and peritumoral tissues used for spatial metabolomic datasets. B) Examples of the microscopy‐mass spectrometry imaging (MSI) overlay. MSI images of D‐glucose (m/z = 249.1235) and H&E images of CRC tissue sections. Scale bar: 50 µm C) Heatmap of glycolysis‐related metabolites across all experimental animals of both groups. Red represented higher levels and blue, lower levels. D) Region‐specific MS images of CRC tissue sections. E) Violin plotting to show data distribution and its probability density; the thin black line extending from it, the 95% confidence interval; the black horizontal line in the middle, the median; and the outer shape, the distribution density of the data ( n = 3). Statistical significance was determined by unpaired t‐test and p values were adjusted with the t unpaired test comparisons test.
    Figure Legend Snippet: Spatial metabolomics profiled shows that TZP reduced glycolysis in the colon cancer tissues. A) Illustration of colonic and peritumoral tissues used for spatial metabolomic datasets. B) Examples of the microscopy‐mass spectrometry imaging (MSI) overlay. MSI images of D‐glucose (m/z = 249.1235) and H&E images of CRC tissue sections. Scale bar: 50 µm C) Heatmap of glycolysis‐related metabolites across all experimental animals of both groups. Red represented higher levels and blue, lower levels. D) Region‐specific MS images of CRC tissue sections. E) Violin plotting to show data distribution and its probability density; the thin black line extending from it, the 95% confidence interval; the black horizontal line in the middle, the median; and the outer shape, the distribution density of the data ( n = 3). Statistical significance was determined by unpaired t‐test and p values were adjusted with the t unpaired test comparisons test.

    Techniques Used: Microscopy, Mass Spectrometry, Imaging



    Similar Products

    spatially resolved metabolomics profiling  (MetWare Ltd)
    90
    MetWare Ltd spatially resolved metabolomics profiling
    Spatial <t>metabolomics</t> profiled shows that TZP reduced glycolysis in the colon cancer tissues. A) Illustration of colonic and peritumoral tissues used for spatial metabolomic datasets. B) Examples of the microscopy‐mass spectrometry imaging (MSI) overlay. MSI images of D‐glucose (m/z = 249.1235) and H&E images of CRC tissue sections. Scale bar: 50 µm C) Heatmap of glycolysis‐related metabolites across all experimental animals of both groups. Red represented higher levels and blue, lower levels. D) Region‐specific MS images of CRC tissue sections. E) Violin plotting to show data distribution and its probability density; the thin black line extending from it, the 95% confidence interval; the black horizontal line in the middle, the median; and the outer shape, the distribution density of the data ( n = 3). Statistical significance was determined by unpaired t‐test and p values were adjusted with the t unpaired test comparisons test.
    Spatially Resolved Metabolomics Profiling, supplied by MetWare Ltd, 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/result/spatially resolved metabolomics profiling/product/MetWare Ltd
    Average 90 stars, based on 1 article reviews
    spatially resolved metabolomics profiling - by Bioz Stars, 2026-04
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Spatial metabolomics profiled shows that TZP reduced glycolysis in the colon cancer tissues. A) Illustration of colonic and peritumoral tissues used for spatial metabolomic datasets. B) Examples of the microscopy‐mass spectrometry imaging (MSI) overlay. MSI images of D‐glucose (m/z = 249.1235) and H&E images of CRC tissue sections. Scale bar: 50 µm C) Heatmap of glycolysis‐related metabolites across all experimental animals of both groups. Red represented higher levels and blue, lower levels. D) Region‐specific MS images of CRC tissue sections. E) Violin plotting to show data distribution and its probability density; the thin black line extending from it, the 95% confidence interval; the black horizontal line in the middle, the median; and the outer shape, the distribution density of the data ( n = 3). Statistical significance was determined by unpaired t‐test and p values were adjusted with the t unpaired test comparisons test.

    Journal: Advanced Science

    Article Title: The Novel Dual GIP and GLP‐1 Receptor Agonist Tirzepatide Attenuates Colon Cancer Development by Regulating Glucose Metabolism

    doi: 10.1002/advs.202411980

    Figure Lengend Snippet: Spatial metabolomics profiled shows that TZP reduced glycolysis in the colon cancer tissues. A) Illustration of colonic and peritumoral tissues used for spatial metabolomic datasets. B) Examples of the microscopy‐mass spectrometry imaging (MSI) overlay. MSI images of D‐glucose (m/z = 249.1235) and H&E images of CRC tissue sections. Scale bar: 50 µm C) Heatmap of glycolysis‐related metabolites across all experimental animals of both groups. Red represented higher levels and blue, lower levels. D) Region‐specific MS images of CRC tissue sections. E) Violin plotting to show data distribution and its probability density; the thin black line extending from it, the 95% confidence interval; the black horizontal line in the middle, the median; and the outer shape, the distribution density of the data ( n = 3). Statistical significance was determined by unpaired t‐test and p values were adjusted with the t unpaired test comparisons test.

    Article Snippet: Spatially resolved metabolomics profiling was conducted at MetWare Biological Science and Technology Co., Ltd. (Wuhan, China).

    Techniques: Microscopy, Mass Spectrometry, Imaging