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browser-based "analytics" network  (TriNetX Inc)

 
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    TriNetX Inc browser-based "analytics" network
    Browser Based "Analytics" Network, supplied by TriNetX 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/network-based+analytics/browser+based+real+time+analytics+features/pm40024281-39-5-5
    Average 90 stars, based on 1 article reviews
    browser-based "analytics" network - by Bioz Stars, 2026-11
    90/100 stars

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    Related Articles

    Infection:

    Article Title: Sleep disorders in younger and middle-older age adults with newly diagnosed type 2 diabetes mellitus: A retrospective cohort study in >1million individuals.
    Article Snippet: All analyses were done in the TriNetX “Analytics” network using the browser-based real-time analytics features. .. W

    Article Title: Neuropsychiatric disorders following SARS-CoV-2 infection
    Article Snippet: on a limited number of disorders that highlight the issues: mood, anxiety and psychotic disorders, as well as cognitive impairment (‘brain fog’). .. Other neuropsychiatric sequelae of COVID-19 are covered elsewhere., We consider primarily the findings from our studies that have used the USA-based TriNetX Analytics EHR network ( www.trinetx.com ) to investigate risks for a broad range of psychiatric, neurological and cerebrovascular disorders. .. The value of EHRs in the context of the COVID-19 pandemic is that they provide large and up-to-date datasets with detailed demographic and biomedical

    Diagnostic Assay:

    Article Title: Sleep disorders in younger and middle-older age adults with newly diagnosed type 2 diabetes mellitus: A retrospective cohort study in >1million individuals.
    Article Snippet: All analyses were done in the TriNetX “Analytics” network using the browser-based real-time analytics features. .. W

    Article Title: Neuropsychiatric disorders following SARS-CoV-2 infection
    Article Snippet: on a limited number of disorders that highlight the issues: mood, anxiety and psychotic disorders, as well as cognitive impairment (‘brain fog’). .. Other neuropsychiatric sequelae of COVID-19 are covered elsewhere., We consider primarily the findings from our studies that have used the USA-based TriNetX Analytics EHR network ( www.trinetx.com ) to investigate risks for a broad range of psychiatric, neurological and cerebrovascular disorders. .. The value of EHRs in the context of the COVID-19 pandemic is that they provide large and up-to-date datasets with detailed demographic and biomedical



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    Proteomic analysis in the insoluble fraction of α-syn PFF treated M83 neurons. A M83 neurons treated with α-syn PFFs or PBS for 14± 1 and 21± 1 days were sequentially extracted with 1% Triton X-100 followed by 2% SDS. Western blot analysis showed significant enrichment of pS129 α-syn in the Triton X-100 insoluble fraction from PFF treated neuron samples. With PBS treatment, α-syn was extracted in 1% Triton X-100 fraction. B Insoluble fractions analyzed by Mass spectrometry identified 92 proteins that were changed in the total proteome with PFF treatment at logFC cutoff of ≥ 0.25. An enrichment analysis using metascape for these 92 proteins was performed, which identified membrane/vesicle trafficking, autophagy, endocytosis, and exocytosis mechanisms. C Based on a stringent cutoff of 0.999 in CPDB, a first order network of these 92 proteins including 1640 proteins and 4,738 interactors was generated. Based on this, a zero-order network was established using the internally developed network-based visual analytics tool to identify enriched pathways which are shown in the figure. The most enriched pathways in this network included the mitochondrial pathway, translation, ubiquitin related, lysosome, unfolded protein response, vesicle trafficking and mRNA splicing

    Journal: Molecular Brain

    Article Title: Broad proteomics analysis of seeding-induced aggregation of α-synuclein in M83 neurons reveals remodeling of proteostasis mechanisms that might contribute to Parkinson’s disease pathogenesis

    doi: 10.1186/s13041-024-01099-1

    Figure Lengend Snippet: Proteomic analysis in the insoluble fraction of α-syn PFF treated M83 neurons. A M83 neurons treated with α-syn PFFs or PBS for 14± 1 and 21± 1 days were sequentially extracted with 1% Triton X-100 followed by 2% SDS. Western blot analysis showed significant enrichment of pS129 α-syn in the Triton X-100 insoluble fraction from PFF treated neuron samples. With PBS treatment, α-syn was extracted in 1% Triton X-100 fraction. B Insoluble fractions analyzed by Mass spectrometry identified 92 proteins that were changed in the total proteome with PFF treatment at logFC cutoff of ≥ 0.25. An enrichment analysis using metascape for these 92 proteins was performed, which identified membrane/vesicle trafficking, autophagy, endocytosis, and exocytosis mechanisms. C Based on a stringent cutoff of 0.999 in CPDB, a first order network of these 92 proteins including 1640 proteins and 4,738 interactors was generated. Based on this, a zero-order network was established using the internally developed network-based visual analytics tool to identify enriched pathways which are shown in the figure. The most enriched pathways in this network included the mitochondrial pathway, translation, ubiquitin related, lysosome, unfolded protein response, vesicle trafficking and mRNA splicing

    Article Snippet: Visualization of this network containing 1328 proteins and 3621 interactions using internally developed network-based visual analytics tool identified modules involved in proteostasis.

    Techniques: Western Blot, Mass Spectrometry, Membrane, Generated, Ubiquitin Proteomics