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<t>Spotfire</t> generated heatmaps. TOP shows on the vertical dendrogram axis the organization of 1,373 CM interactome fragments overlapping with biological process network and identifies network-network interactions; the horizontal dendrogram axis identifies phenotypes of 747 natural products and CM ingredients containing substance groups inducing similar interactions in network fragment phenotypes; the vertical dendrogram section highlighted in green identifies network-network connectivity of core group of 416 network fragments induced by all 747 CM ingredients. BOTTOM identifies that a phenotype of 67 Fragment within the red boundary of the top heatmap containing biological process regulating vitamin D metabolism, Nitric oxide production and redox balance overlap with a network regulating caveola functions. Shown are the information densities of proteins CAV1, CAV3, PTRF, CAV2, FLOT1, FLOT2, NOS3, SRC, STOM, PRKCDBP, EHD2, SLC6A3, KIF18A, PACSIN2, CDH1, ADTRP, TFPI, PTGIS, PLVA with 67 network fragments.
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<t>Spotfire</t> generated heatmaps. TOP shows on the vertical dendrogram axis the organization of 1,373 CM interactome fragments overlapping with biological process network and identifies network-network interactions; the horizontal dendrogram axis identifies phenotypes of 747 natural products and CM ingredients containing substance groups inducing similar interactions in network fragment phenotypes; the vertical dendrogram section highlighted in green identifies network-network connectivity of core group of 416 network fragments induced by all 747 CM ingredients. BOTTOM identifies that a phenotype of 67 Fragment within the red boundary of the top heatmap containing biological process regulating vitamin D metabolism, Nitric oxide production and redox balance overlap with a network regulating caveola functions. Shown are the information densities of proteins CAV1, CAV3, PTRF, CAV2, FLOT1, FLOT2, NOS3, SRC, STOM, PRKCDBP, EHD2, SLC6A3, KIF18A, PACSIN2, CDH1, ADTRP, TFPI, PTGIS, PLVA with 67 network fragments.
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<t>Spotfire</t> generated heatmaps. TOP shows on the vertical dendrogram axis the organization of 1,373 CM interactome fragments overlapping with biological process network and identifies network-network interactions; the horizontal dendrogram axis identifies phenotypes of 747 natural products and CM ingredients containing substance groups inducing similar interactions in network fragment phenotypes; the vertical dendrogram section highlighted in green identifies network-network connectivity of core group of 416 network fragments induced by all 747 CM ingredients. BOTTOM identifies that a phenotype of 67 Fragment within the red boundary of the top heatmap containing biological process regulating vitamin D metabolism, Nitric oxide production and redox balance overlap with a network regulating caveola functions. Shown are the information densities of proteins CAV1, CAV3, PTRF, CAV2, FLOT1, FLOT2, NOS3, SRC, STOM, PRKCDBP, EHD2, SLC6A3, KIF18A, PACSIN2, CDH1, ADTRP, TFPI, PTGIS, PLVA with 67 network fragments.
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<t>Spotfire</t> generated heatmaps. TOP shows on the vertical dendrogram axis the organization of 1,373 CM interactome fragments overlapping with biological process network and identifies network-network interactions; the horizontal dendrogram axis identifies phenotypes of 747 natural products and CM ingredients containing substance groups inducing similar interactions in network fragment phenotypes; the vertical dendrogram section highlighted in green identifies network-network connectivity of core group of 416 network fragments induced by all 747 CM ingredients. BOTTOM identifies that a phenotype of 67 Fragment within the red boundary of the top heatmap containing biological process regulating vitamin D metabolism, Nitric oxide production and redox balance overlap with a network regulating caveola functions. Shown are the information densities of proteins CAV1, CAV3, PTRF, CAV2, FLOT1, FLOT2, NOS3, SRC, STOM, PRKCDBP, EHD2, SLC6A3, KIF18A, PACSIN2, CDH1, ADTRP, TFPI, PTGIS, PLVA with 67 network fragments.
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Males and females of three different AD mouse lines were each evaluated in three different touchscreen tasks. The mice were food restricted and tested longitudinally and at two different sites (The University of Western Ontario (UWO) and University of Guelph (UoG) - Canada). Data were submitted to an automated QC process. Following automated QC, data were uploaded to an open-access database ( mousebytes.ca ) for post-processing analysis and visualisation using the analytics tool TIBCO <t>Spotfire.</t>
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Males and females of three different AD mouse lines were each evaluated in three different touchscreen tasks. The mice were food restricted and tested longitudinally and at two different sites (The University of Western Ontario (UWO) and University of Guelph (UoG) - Canada). Data were submitted to an automated QC process. Following automated QC, data were uploaded to an open-access database ( mousebytes.ca ) for post-processing analysis and visualisation using the analytics tool TIBCO <t>Spotfire.</t>
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TIBCO spotfire decisionsite with functional genomics platform
Males and females of three different AD mouse lines were each evaluated in three different touchscreen tasks. The mice were food restricted and tested longitudinally and at two different sites (The University of Western Ontario (UWO) and University of Guelph (UoG) - Canada). Data were submitted to an automated QC process. Following automated QC, data were uploaded to an open-access database ( mousebytes.ca ) for post-processing analysis and visualisation using the analytics tool TIBCO <t>Spotfire.</t>
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Spotfire generated heatmaps. TOP shows on the vertical dendrogram axis the organization of 1,373 CM interactome fragments overlapping with biological process network and identifies network-network interactions; the horizontal dendrogram axis identifies phenotypes of 747 natural products and CM ingredients containing substance groups inducing similar interactions in network fragment phenotypes; the vertical dendrogram section highlighted in green identifies network-network connectivity of core group of 416 network fragments induced by all 747 CM ingredients. BOTTOM identifies that a phenotype of 67 Fragment within the red boundary of the top heatmap containing biological process regulating vitamin D metabolism, Nitric oxide production and redox balance overlap with a network regulating caveola functions. Shown are the information densities of proteins CAV1, CAV3, PTRF, CAV2, FLOT1, FLOT2, NOS3, SRC, STOM, PRKCDBP, EHD2, SLC6A3, KIF18A, PACSIN2, CDH1, ADTRP, TFPI, PTGIS, PLVA with 67 network fragments.

Journal: Frontiers in Nutrition

Article Title: Functional characterization of nutraceuticals using spectral clustering: Centrality of caveolae-mediated endocytosis for management of nitric oxide and vitamin D deficiencies and atherosclerosis

doi: 10.3389/fnut.2022.885364

Figure Lengend Snippet: Spotfire generated heatmaps. TOP shows on the vertical dendrogram axis the organization of 1,373 CM interactome fragments overlapping with biological process network and identifies network-network interactions; the horizontal dendrogram axis identifies phenotypes of 747 natural products and CM ingredients containing substance groups inducing similar interactions in network fragment phenotypes; the vertical dendrogram section highlighted in green identifies network-network connectivity of core group of 416 network fragments induced by all 747 CM ingredients. BOTTOM identifies that a phenotype of 67 Fragment within the red boundary of the top heatmap containing biological process regulating vitamin D metabolism, Nitric oxide production and redox balance overlap with a network regulating caveola functions. Shown are the information densities of proteins CAV1, CAV3, PTRF, CAV2, FLOT1, FLOT2, NOS3, SRC, STOM, PRKCDBP, EHD2, SLC6A3, KIF18A, PACSIN2, CDH1, ADTRP, TFPI, PTGIS, PLVA with 67 network fragments.

Article Snippet: Selection of network fragments with < 10 network nodes (associated with a strength of > 0.9 and a p value of < 0.0001) produced 1,373 biological structure-function constraint network fragments. (3) These 1,373 network fragments were used as topological descriptors for determining information densities of 747 CM ingredients associated with these 1,373 fragments in the Medline database resulting in the generation of a similarity matrix containing 1,373 × 747 information density measurements ( Section: ). (4) Clustering of this similarity matrix using the TIBCO Spotfire platform ( ) , and cosine correlation as similarity measure provided .

Techniques: Generated

Males and females of three different AD mouse lines were each evaluated in three different touchscreen tasks. The mice were food restricted and tested longitudinally and at two different sites (The University of Western Ontario (UWO) and University of Guelph (UoG) - Canada). Data were submitted to an automated QC process. Following automated QC, data were uploaded to an open-access database ( mousebytes.ca ) for post-processing analysis and visualisation using the analytics tool TIBCO Spotfire.

Journal: eLife

Article Title: MouseBytes, an open-access high-throughput pipeline and database for rodent touchscreen-based cognitive assessment

doi: 10.7554/eLife.49630

Figure Lengend Snippet: Males and females of three different AD mouse lines were each evaluated in three different touchscreen tasks. The mice were food restricted and tested longitudinally and at two different sites (The University of Western Ontario (UWO) and University of Guelph (UoG) - Canada). Data were submitted to an automated QC process. Following automated QC, data were uploaded to an open-access database ( mousebytes.ca ) for post-processing analysis and visualisation using the analytics tool TIBCO Spotfire.

Article Snippet: The complete data set is also available for visualisation and customised analyses on the analytics platform TIBCO Spotfire ( ; ), integrated in MouseMytes.

Techniques: Western Blot

Journal: eLife

Article Title: MouseBytes, an open-access high-throughput pipeline and database for rodent touchscreen-based cognitive assessment

doi: 10.7554/eLife.49630

Figure Lengend Snippet:

Article Snippet: The complete data set is also available for visualisation and customised analyses on the analytics platform TIBCO Spotfire ( ; ), integrated in MouseMytes.

Techniques: Enzyme-linked Immunosorbent Assay, Software, Control