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canonical pathways (cp) collection (c2, cp: c2.cp.v2023.2.hs)  (Broad Institute Inc)

 
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    Structured Review

    Broad Institute Inc canonical pathways (cp) collection (c2, cp: c2.cp.v2023.2.hs)
    Canonical Pathways (Cp) Collection (C2, Cp: C2.Cp.V2023.2.Hs), supplied by Broad Institute 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/reactome/c2+cp+reactome+v2023+1+hs+symbols+gmt/pmc11928738-465-17-44
    Average 90 stars, based on 1 article reviews
    canonical pathways (cp) collection (c2, cp: c2.cp.v2023.2.hs) - by Bioz Stars, 2026-10
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    Article Title: Hypoxia-induced PLOD2 promotes clear cell renal cell carcinoma progression via modulating EGFR-dependent AKT pathway activation.
    Article Snippet: The gene sets of h.all.v2023.1.Hs.symbols were downloaded from the MSigDB of the Broad Institute (https://www.gsea-msigdb.org/gsea/ msigdb/index.jsp).

    Article Title: Hypoxia-induced PLOD2 promotes clear cell renal cell carcinoma progression via modulating EGFR-dependent AKT pathway activation
    Article Snippet: The gene sets of h.all.v2023.1.Hs.symbols were downloaded from the MSigDB of the Broad Institute ( https://www.gsea-msigdb.org/gsea/msigdb/index.jsp ).

    Article Title: Ion channel modulator DPI-201-106 significantly enhances antitumor activity of DNA damage response inhibitors in glioblastoma
    Article Snippet: Gene sets representing cellular biological processes and pathways were obtained from the Human Molecular Signature Database (MSigDB, version v2023.1.Hs) at the Broad Institute.

    Article Title: Plasma proteomics show altered inflammatory and mitochondrial proteins in patients with neurologic symptoms of post-acute sequelae of SARS-CoV-2 infection.
    Article Snippet: Persistent symptoms of COVID-19 survivors constitute long COVID syndrome, also called post-acute sequelae of SARS-CoV-2 infection (PASC).. Neurologic manifestations of PASC (Neuro-PASC) are particularly debilitating, long lasting, and poorly understood.. To gain insight into the pathogenesis of PASC, we leveraged a wellcharacterized group of Neuro-PASC (NP) patients seen at our Neuro-COVID-19 clinic who had mild acute COVID-19 and never required hospitalization to investigate their plasma proteome.

    Article Title: RECQL4 Inhibits Radiation-Induced Tumor Immune Awakening via Suppressing the cGAS-STING Pathway in Hepatocellular Carcinoma.
    Article Snippet: Many patients with hepatocellular carcinoma (HCC) respond poorly to radiotherapy despite remarkable advances in treatment.. A deeper insight into the mechanism of sensitivity of HCC to this therapy is urgently required.. It is demonstrated that RECQL4 is upregulated in the malignant cells of patients with HCC.

    Software:

    Article Title: Comprehensive promotion of iPSC-CM maturation by integrating metabolic medium with nanopatterning and electrostimulation
    Article Snippet: .. Gene set enrichment analysis (GSEA) was performed based on normalised count data using GSEA software v.4.3.2 and canonical pathways (CP) collection (C2, CP: c2.cp.v2023.2.Hs, https://www.gsea-msigdb.org/gsea/msigdb/human/genesets.jsp?collection=CP ) or TFT collection (C3, TFT: c3.tft.v2023.2, https://www.gsea-msigdb.org/gsea/msigdb/human/genesets.jsp?collection=TFT ), two Human Molecular Signatures Database (MSigDB) collections provided by the Broad institute with following parameters: weighted scoring, meandiv normalisation, max_probe mode, maximum gene set size 500 genes, minimum set size 15 genes, and 1000 permutations. .. GSEA results were applied for the creation of enrichment maps using Cytoscape software according to .



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    Image Search Results


    Comparisons between the transcriptomic signature of muscle tissue samples. A Differences in gene expression in young male (control, N = 10) and young female (case, N = 10) muscle tissue. Genes differentially expressed at FDR < 0.05 and |Log 2 fold change| > 1 are depicted in red. B Reactome pathways downregulated in young male ( N = 10) versus young female ( N = 10) muscle tissue. C Differences in gene expression in young male (control, N = 10) and older male (case, N = 10) muscle tissue. Genes differentially expressed at FDR < 0.05 and |Log 2 fold change| > 1 are depicted in red. D Reactome pathways upregulated (left panel) or downregulated (right panel) in young male ( N = 10) versus older male ( N = 10) muscle tissue

    Journal: Skeletal Muscle

    Article Title: The transcriptomic signature of age and sex is not conserved in human primary myotubes

    doi: 10.1186/s13395-026-00416-7

    Figure Lengend Snippet: Comparisons between the transcriptomic signature of muscle tissue samples. A Differences in gene expression in young male (control, N = 10) and young female (case, N = 10) muscle tissue. Genes differentially expressed at FDR < 0.05 and |Log 2 fold change| > 1 are depicted in red. B Reactome pathways downregulated in young male ( N = 10) versus young female ( N = 10) muscle tissue. C Differences in gene expression in young male (control, N = 10) and older male (case, N = 10) muscle tissue. Genes differentially expressed at FDR < 0.05 and |Log 2 fold change| > 1 are depicted in red. D Reactome pathways upregulated (left panel) or downregulated (right panel) in young male ( N = 10) versus older male ( N = 10) muscle tissue

    Article Snippet: Reactome gene sets from Homo sapiens were based on the msigdbr package (v7.5.1) and curated for skeletal muscle tissue activation using PubChem and The Human Protein Atlas, with all non-filtered gene sets presented in Supplementary Tables.

    Techniques: Gene Expression, Control

    Comparisons between the transcriptomic signature of muscle tissue and differentiated HPMCs. A Principal component analysis of the transcriptome of N = 30 human muscle tissue samples (control, N = 10 young females, N = 10 young males, N = 10 older males) and the corresponding N = 30 differentiated HPMC lines grown from the same donors (case). B Differences in gene expression in human muscle tissue ( N = 30) compared to differentiated primary muscle cell lines grown from the same donors ( N = 30). Genes differentially expressed at FDR < 0.05 and |Log 2 fold change| > 1 are depicted in red. C Reactome pathways upregulated (left panel) or downregulated (right panel) in muscle tissue ( N = 30) versus differentiated HPMCs ( N = 30). D Average sum of normalised counts of the 13 mitochondrial protein-coding genes in cell (blue) and tissue (red) samples

    Journal: Skeletal Muscle

    Article Title: The transcriptomic signature of age and sex is not conserved in human primary myotubes

    doi: 10.1186/s13395-026-00416-7

    Figure Lengend Snippet: Comparisons between the transcriptomic signature of muscle tissue and differentiated HPMCs. A Principal component analysis of the transcriptome of N = 30 human muscle tissue samples (control, N = 10 young females, N = 10 young males, N = 10 older males) and the corresponding N = 30 differentiated HPMC lines grown from the same donors (case). B Differences in gene expression in human muscle tissue ( N = 30) compared to differentiated primary muscle cell lines grown from the same donors ( N = 30). Genes differentially expressed at FDR < 0.05 and |Log 2 fold change| > 1 are depicted in red. C Reactome pathways upregulated (left panel) or downregulated (right panel) in muscle tissue ( N = 30) versus differentiated HPMCs ( N = 30). D Average sum of normalised counts of the 13 mitochondrial protein-coding genes in cell (blue) and tissue (red) samples

    Article Snippet: Reactome gene sets from Homo sapiens were based on the msigdbr package (v7.5.1) and curated for skeletal muscle tissue activation using PubChem and The Human Protein Atlas, with all non-filtered gene sets presented in Supplementary Tables.

    Techniques: Control, Gene Expression

    Maintenance of the age phenotype between muscle tissue and differentiated HPMCs. A Scatter plot depicting the log 2 fold-change of each individual gene expressed in young ( N = 10) and older ( N = 10) muscle tissue and in the corresponding young ( N = 10) and older ( N = 10) differentiated muscle cell lines. Genes differentially expressed at FDR < 0.05 and down regulated in both young cell and muscle tissue are depicted in black. Genes differentially expressed at FDR < 0.05 and down regulated in young cells only are depicted in blue. Genes differentially expressed at FDR < 0.05 and up regulated in young cells only are depicted in green. Genes differentially expressed at FDR < 0.05 and down regulated in young muscle tissue only are depicted in orange. Genes differentially expressed at FDR < 0.05 and up regulated in young muscle tissue only are depicted in dark red. B Differential expression rank–rank density contour plot with cell and tissue contrasts on the x- and y-axes, respectively. Each point represents a gene ranked by its differential expression in both contrasts, and the filled contours indicate gene density across the rank space. The four quadrants correspond to directional patterns of regulation: genes upregulated in both contrasts (top right), downregulated in both (bottom left), or oppositely regulated (top left and bottom right). The relatively even spread of density across all quadrants reflects the absence of a consistent transcriptional signature shared between aged muscle tissue and cultured cells. C Heatmap depicting the differentially regulated Reactome pathways in young ( N = 10) and older ( N = 10) muscle tissue (control) and in the corresponding young ( N = 10) and older ( N = 10) differentiated HPMC lines (case)

    Journal: Skeletal Muscle

    Article Title: The transcriptomic signature of age and sex is not conserved in human primary myotubes

    doi: 10.1186/s13395-026-00416-7

    Figure Lengend Snippet: Maintenance of the age phenotype between muscle tissue and differentiated HPMCs. A Scatter plot depicting the log 2 fold-change of each individual gene expressed in young ( N = 10) and older ( N = 10) muscle tissue and in the corresponding young ( N = 10) and older ( N = 10) differentiated muscle cell lines. Genes differentially expressed at FDR < 0.05 and down regulated in both young cell and muscle tissue are depicted in black. Genes differentially expressed at FDR < 0.05 and down regulated in young cells only are depicted in blue. Genes differentially expressed at FDR < 0.05 and up regulated in young cells only are depicted in green. Genes differentially expressed at FDR < 0.05 and down regulated in young muscle tissue only are depicted in orange. Genes differentially expressed at FDR < 0.05 and up regulated in young muscle tissue only are depicted in dark red. B Differential expression rank–rank density contour plot with cell and tissue contrasts on the x- and y-axes, respectively. Each point represents a gene ranked by its differential expression in both contrasts, and the filled contours indicate gene density across the rank space. The four quadrants correspond to directional patterns of regulation: genes upregulated in both contrasts (top right), downregulated in both (bottom left), or oppositely regulated (top left and bottom right). The relatively even spread of density across all quadrants reflects the absence of a consistent transcriptional signature shared between aged muscle tissue and cultured cells. C Heatmap depicting the differentially regulated Reactome pathways in young ( N = 10) and older ( N = 10) muscle tissue (control) and in the corresponding young ( N = 10) and older ( N = 10) differentiated HPMC lines (case)

    Article Snippet: Reactome gene sets from Homo sapiens were based on the msigdbr package (v7.5.1) and curated for skeletal muscle tissue activation using PubChem and The Human Protein Atlas, with all non-filtered gene sets presented in Supplementary Tables.

    Techniques: Quantitative Proteomics, Cell Culture, Control

    Pathway enrichment analysis (PEA) suggests ivs+ CD8 + T cells have an enhanced ability to interact with endothelial cells (A) Tree plot illustrating significantly enriched pathways in lung ivs+ CD8 + T cells. Hierarchical clustering of enriched terms based on Jaccard’s similarity index (JC). (B and C) Gene-concept network plots depicting genes (blue dots) involved in enriched terms (red dots) associated with signaling events (B) and vascular interactions (C). (D) Reactome “cell surface interactions at the vascular cell wall” pathway associated genes upregulated or downregulated in lung ivs+ CD8 + T cells. For PEA an adj p value (FDR) ≤ 0.05 was used to determine significance. See also and .

    Journal: iScience

    Article Title: Distinct transcriptomic signatures in pulmonary tissue resident and vascular resident-like T cells in nonhuman primates

    doi: 10.1016/j.isci.2025.112745

    Figure Lengend Snippet: Pathway enrichment analysis (PEA) suggests ivs+ CD8 + T cells have an enhanced ability to interact with endothelial cells (A) Tree plot illustrating significantly enriched pathways in lung ivs+ CD8 + T cells. Hierarchical clustering of enriched terms based on Jaccard’s similarity index (JC). (B and C) Gene-concept network plots depicting genes (blue dots) involved in enriched terms (red dots) associated with signaling events (B) and vascular interactions (C). (D) Reactome “cell surface interactions at the vascular cell wall” pathway associated genes upregulated or downregulated in lung ivs+ CD8 + T cells. For PEA an adj p value (FDR) ≤ 0.05 was used to determine significance. See also and .

    Article Snippet: We performed PEA using the Reactome gene collection from The Broad Institute Molecular Signature Database (MSigDB), , which was filtered to contain only genes present in our dataset in order to avoid bias.

    Techniques: