Review



slide e coated microarray slides  (SCHOTT)

 
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
    • 90
      Buy from Supplier

    Structured Review

    SCHOTT slide e coated microarray slides
    Classification of kidney tumors using expression levels of six microRNAs <t>(microarray</t> data). A: Classification proceeds in two steps, following the cluster structure of the histological types (Figure 2). First, samples are classified into either the oncocytoma/chromophobe pair, or the conventional/papillary pair, using expression levels of hsa-miR-210 and hsa-miR-221 (B). In the second step, oncocytoma is differentiated from chromophobe using expression levels of hsa-miR-200c and hsa-miR-139-5p (C), and conventional is differentiated from papillary using expression levels of hsa-miR-31 and hsa-miR-126 (D). Independent test samples included oncocytoma samples (n = 19, red stars), chromophobe tumors (n = 14, black/yellow diamonds), conventional tumors (n = 17, blue squares), and papillary tumors (n = 6, green circles). The gray shaded regions indicate the thresholds for classification for each pair of microRNAs, indicating in each case the right branch in the binary classification tree (A). The 71 samples that were used for training the thresholds (see Methods and Figure 3) are shown in faded symbols in the background.
    Slide E Coated Microarray Slides, supplied by SCHOTT, 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/tissue+microarray+analysis+tissue+microarray+slides/pmc02928434-145-5-10?v=SCHOTT
    Average 90 stars, based on 1 article reviews
    slide e coated microarray slides - by Bioz Stars, 2026-07
    90/100 stars

    Images

    1) Product Images from "Accurate Molecular Classification of Renal Tumors Using MicroRNA Expression"

    Article Title: Accurate Molecular Classification of Renal Tumors Using MicroRNA Expression

    Journal: The Journal of Molecular Diagnostics : JMD

    doi: 10.2353/jmoldx.2010.090187

    Classification of kidney tumors using expression levels of six microRNAs (microarray data). A: Classification proceeds in two steps, following the cluster structure of the histological types (Figure 2). First, samples are classified into either the oncocytoma/chromophobe pair, or the conventional/papillary pair, using expression levels of hsa-miR-210 and hsa-miR-221 (B). In the second step, oncocytoma is differentiated from chromophobe using expression levels of hsa-miR-200c and hsa-miR-139-5p (C), and conventional is differentiated from papillary using expression levels of hsa-miR-31 and hsa-miR-126 (D). Independent test samples included oncocytoma samples (n = 19, red stars), chromophobe tumors (n = 14, black/yellow diamonds), conventional tumors (n = 17, blue squares), and papillary tumors (n = 6, green circles). The gray shaded regions indicate the thresholds for classification for each pair of microRNAs, indicating in each case the right branch in the binary classification tree (A). The 71 samples that were used for training the thresholds (see Methods and Figure 3) are shown in faded symbols in the background.
    Figure Legend Snippet: Classification of kidney tumors using expression levels of six microRNAs (microarray data). A: Classification proceeds in two steps, following the cluster structure of the histological types (Figure 2). First, samples are classified into either the oncocytoma/chromophobe pair, or the conventional/papillary pair, using expression levels of hsa-miR-210 and hsa-miR-221 (B). In the second step, oncocytoma is differentiated from chromophobe using expression levels of hsa-miR-200c and hsa-miR-139-5p (C), and conventional is differentiated from papillary using expression levels of hsa-miR-31 and hsa-miR-126 (D). Independent test samples included oncocytoma samples (n = 19, red stars), chromophobe tumors (n = 14, black/yellow diamonds), conventional tumors (n = 17, blue squares), and papillary tumors (n = 6, green circles). The gray shaded regions indicate the thresholds for classification for each pair of microRNAs, indicating in each case the right branch in the binary classification tree (A). The 71 samples that were used for training the thresholds (see Methods and Figure 3) are shown in faded symbols in the background.

    Techniques Used: Expressing, Microarray

    Validation by qRT-PCR. The qRT-PCR validation set included 32 tumor samples: 8 oncocytoma tumors (red stars), 8 chromophobe tumors (yellow diamonds), 8 conventional tumors (blue squares), and 8 papillary tumors (green circles). For each decision point (Figure 4A), the plot on the left side (A, C, or E) shows the log2 expression ratio of the two microRNAs used at this node as measured by microarray (horizontal, calculated as the log2 ratio of the normalized fluorescence signal) and by qRT-PCR (vertical, calculated as the difference in normalized Ct values). In each plot, the vertical line demarcates the classification threshold trained on the microarray data, while the horizontal line indicates the classification threshold that was chosen for the qRT-PCR data, based on the microarray threshold (Methods). The plots on the right side (B, D, or F) show the qRT-PCR data (normalized Cts) of the two microRNAs in the samples of the relevant subtypes at each node. The gray shaded regions indicate the thresholds for classification for each pair of microRNAs, indicating in each case the right branch in the binary classification tree (Figure 4A). A: Log2 expression ratio of [hsa-miR-221/hsa-miR-210] in microarray and qRT-PCR. Correlation coefficient was 0.92. B: Normalized Cts of hsa-miR-221 and hsa-miR-210 in 32 samples. C: Log2 expression ratio of [hsa-miR-139-5p/hsa-miR-200c] in microarray and qRT-PCR. Correlation coefficient was 0.86. D: Normalized Cts of hsa-miR-139-5p and hsa-miR-200c in 16 oncocytoma and chromophobe samples. E: Log2 expression ratio of [hsa-miR-126/hsa-miR-31] in microarray and qRT-PCR. Correlation coefficient was 0.98. F: Normalized Cts of hsa-miR-126 and hsa-miR-31 in 16 conventional and papillary samples.
    Figure Legend Snippet: Validation by qRT-PCR. The qRT-PCR validation set included 32 tumor samples: 8 oncocytoma tumors (red stars), 8 chromophobe tumors (yellow diamonds), 8 conventional tumors (blue squares), and 8 papillary tumors (green circles). For each decision point (Figure 4A), the plot on the left side (A, C, or E) shows the log2 expression ratio of the two microRNAs used at this node as measured by microarray (horizontal, calculated as the log2 ratio of the normalized fluorescence signal) and by qRT-PCR (vertical, calculated as the difference in normalized Ct values). In each plot, the vertical line demarcates the classification threshold trained on the microarray data, while the horizontal line indicates the classification threshold that was chosen for the qRT-PCR data, based on the microarray threshold (Methods). The plots on the right side (B, D, or F) show the qRT-PCR data (normalized Cts) of the two microRNAs in the samples of the relevant subtypes at each node. The gray shaded regions indicate the thresholds for classification for each pair of microRNAs, indicating in each case the right branch in the binary classification tree (Figure 4A). A: Log2 expression ratio of [hsa-miR-221/hsa-miR-210] in microarray and qRT-PCR. Correlation coefficient was 0.92. B: Normalized Cts of hsa-miR-221 and hsa-miR-210 in 32 samples. C: Log2 expression ratio of [hsa-miR-139-5p/hsa-miR-200c] in microarray and qRT-PCR. Correlation coefficient was 0.86. D: Normalized Cts of hsa-miR-139-5p and hsa-miR-200c in 16 oncocytoma and chromophobe samples. E: Log2 expression ratio of [hsa-miR-126/hsa-miR-31] in microarray and qRT-PCR. Correlation coefficient was 0.98. F: Normalized Cts of hsa-miR-126 and hsa-miR-31 in 16 conventional and papillary samples.

    Techniques Used: Biomarker Discovery, Quantitative RT-PCR, Expressing, Microarray, Fluorescence

    Classification of Renal Tumors Using Expression Levels of 6 MicroRNAs
    Figure Legend Snippet: Classification of Renal Tumors Using Expression Levels of 6 MicroRNAs

    Techniques Used: Expressing, Biomarker Discovery, Microarray



    Similar Products

    melanoma tissue microarray analysis (tma) slides  (Biomax Inc)
    90
    Biomax Inc melanoma tissue microarray analysis (tma) slides
    The consistency of YAP and LRP1 in tissue <t>microarray</t> specimen. ( a , b ) <t>TMA</t> slides include forty skin melanoma tissues and eight skin normal tissues which locate on the bottom of the each TMA. Representative images of IHC from HCC TMA stained with anti-YAP or anti-LRP1 antibodies. Scale bar, 100 μM. ( c ) Representative images of IHC from skin melanoma HCC TMA stained with anti-YAP or anti-LRP1 antibodies. Scale bar, 100 μM. ( d ) The statistical figure of skin melanoma IHC images from HCC TMA stained with anti-YAP or anti-LRP1 antibodies. The TMA data were analyzed using the χ2 test.
    Melanoma Tissue Microarray Analysis (Tma) Slides, supplied by Biomax Inc, 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/tissue+microarray+analysis+tissue+microarray+slides/pmc05686191-177-2-11?v=Biomax+Inc
    Average 90 stars, based on 1 article reviews
    melanoma tissue microarray analysis (tma) slides - by Bioz Stars, 2026-07
    90/100 stars
    		  Buy from Supplier
    tissue microarray analysis tissue microarray slides  (Novus Biologicals)
    92
    Novus Biologicals tissue microarray analysis tissue microarray slides
    The consistency of YAP and LRP1 in tissue <t>microarray</t> specimen. ( a , b ) <t>TMA</t> slides include forty skin melanoma tissues and eight skin normal tissues which locate on the bottom of the each TMA. Representative images of IHC from HCC TMA stained with anti-YAP or anti-LRP1 antibodies. Scale bar, 100 μM. ( c ) Representative images of IHC from skin melanoma HCC TMA stained with anti-YAP or anti-LRP1 antibodies. Scale bar, 100 μM. ( d ) The statistical figure of skin melanoma IHC images from HCC TMA stained with anti-YAP or anti-LRP1 antibodies. The TMA data were analyzed using the χ2 test.
    Tissue Microarray Analysis Tissue Microarray Slides, supplied by Novus Biologicals, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/tissue+microarray+analysis+tissue+microarray+slides/yee_kathleen_miuyi__2016__gene_regulation_by_epigenetic_modifiers_in_stem_cells_cancer_and_immunology-1243-0-9?v=Novus+Biologicals
    Average 92 stars, based on 1 article reviews
    tissue microarray analysis tissue microarray slides - by Bioz Stars, 2026-07
    92/100 stars
    		  Buy from Supplier
    tissue microarray analysis (tma) slides  (Shanghai Biochip Co. Ltd)
    90
    Shanghai Biochip Co. Ltd tissue microarray analysis (tma) slides
    The consistency of YAP and LRP1 in tissue <t>microarray</t> specimen. ( a , b ) <t>TMA</t> slides include forty skin melanoma tissues and eight skin normal tissues which locate on the bottom of the each TMA. Representative images of IHC from HCC TMA stained with anti-YAP or anti-LRP1 antibodies. Scale bar, 100 μM. ( c ) Representative images of IHC from skin melanoma HCC TMA stained with anti-YAP or anti-LRP1 antibodies. Scale bar, 100 μM. ( d ) The statistical figure of skin melanoma IHC images from HCC TMA stained with anti-YAP or anti-LRP1 antibodies. The TMA data were analyzed using the χ2 test.
    Tissue Microarray Analysis (Tma) Slides, supplied by Shanghai Biochip Co. 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/product/tissue+microarray+analysis+tissue+microarray+slides/pm24863391-51-10-17?v=Shanghai+Biochip+Co.+Ltd
    Average 90 stars, based on 1 article reviews
    tissue microarray analysis (tma) slides - by Bioz Stars, 2026-07
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    The consistency of YAP and LRP1 in tissue microarray specimen. ( a , b ) TMA slides include forty skin melanoma tissues and eight skin normal tissues which locate on the bottom of the each TMA. Representative images of IHC from HCC TMA stained with anti-YAP or anti-LRP1 antibodies. Scale bar, 100 μM. ( c ) Representative images of IHC from skin melanoma HCC TMA stained with anti-YAP or anti-LRP1 antibodies. Scale bar, 100 μM. ( d ) The statistical figure of skin melanoma IHC images from HCC TMA stained with anti-YAP or anti-LRP1 antibodies. The TMA data were analyzed using the χ2 test.

    Journal: Scientific Reports

    Article Title: Yes-Associated Protein (YAP) Promotes Tumorigenesis in Melanoma Cells Through Stimulation of Low-Density Lipoprotein Receptor-Related Protein 1 (LRP1)

    doi: 10.1038/s41598-017-14764-4

    Figure Lengend Snippet: The consistency of YAP and LRP1 in tissue microarray specimen. ( a , b ) TMA slides include forty skin melanoma tissues and eight skin normal tissues which locate on the bottom of the each TMA. Representative images of IHC from HCC TMA stained with anti-YAP or anti-LRP1 antibodies. Scale bar, 100 μM. ( c ) Representative images of IHC from skin melanoma HCC TMA stained with anti-YAP or anti-LRP1 antibodies. Scale bar, 100 μM. ( d ) The statistical figure of skin melanoma IHC images from HCC TMA stained with anti-YAP or anti-LRP1 antibodies. The TMA data were analyzed using the χ2 test.

    Article Snippet: For IHC, melanoma tissue microarray analysis (TMA) slides were purchased from Biomax (Rockville, MD, USA).

    Techniques: Microarray, Staining