Conjunts de dades de producció científica> Medicina i Cirurgia

Replication Data for "Coexpression network analysis of the adult brain sheds light on the pathogenic mechanism of DDR1 in schizophrenia and bipolar disorder"

  • Dades identificatives

    Identificador: PC:3908
    Autors:
    Aranda Castel, Selena
    Resum:
    It contains the Supplementary Material of the following article: Coexpression network analysis of the adult brain sheds light on the pathogenic mechanism of DDR1 in schizophrenia and bipolar disorder, which is aimed to know the biological function of DDR1 transcripts in adult brain dorsolateral prefrontal cortex. Particularly: Figure S1. Plot of principal components (PCs) of the whole sample matrices before (A) and after (B) adjusting for surrogate variables. Figure S2. (A) Variance explained by the identified surrogate variables (SVs). Figure S3. Analysis of the network topology under various soft-thresholding power values in the control (A) and whole-sample (B) networks. Figure S4. Quantification of DDR1 transcripts in healthy controls, patients with schizophrenia and patients with bipolar disorder. Figure S5. Correlations between the expression of DDR1 transcripts and cell type proportion estimates of astrocytes, OPCs, oligodendrocytes, neurons, microglia and endothelial cells. Table S1. List of the nominally associated p-values of the eQTL analysis. Table S2. ID and module of the genes in the control network. Table S3. Full list of the results of the cell type enrichment analyses in the control network. Table S4. Full list of the results of the GO enrichment analysis in the control network. Table S5. Correlation of the surrogate variables with the cell type proportion estimates. Table S6. Module distribution and transcript significance of DDR1 transcripts. (2024-01-30)
  • Altres:

    Matèria: Medicine, Health and Life Sciences
    Drets d'accés: info:eu-repo/semantics/openAccess
    Identificador del investigador: 0000-0002-9457-3277
    Publicat per (editora): Universitat Rovira i Virgili
    Publicacions relacionades: Pending for publication
    Resum: It contains the Supplementary Material of the following article: Coexpression network analysis of the adult brain sheds light on the pathogenic mechanism of DDR1 in schizophrenia and bipolar disorder, which is aimed to know the biological function of DDR1 transcripts in adult brain dorsolateral prefrontal cortex. Particularly: Figure S1. Plot of principal components (PCs) of the whole sample matrices before (A) and after (B) adjusting for surrogate variables. Figure S2. (A) Variance explained by the identified surrogate variables (SVs). Figure S3. Analysis of the network topology under various soft-thresholding power values in the control (A) and whole-sample (B) networks. Figure S4. Quantification of DDR1 transcripts in healthy controls, patients with schizophrenia and patients with bipolar disorder. Figure S5. Correlations between the expression of DDR1 transcripts and cell type proportion estimates of astrocytes, OPCs, oligodendrocytes, neurons, microglia and endothelial cells. Table S1. List of the nominally associated p-values of the eQTL analysis. Table S2. ID and module of the genes in the control network. Table S3. Full list of the results of the cell type enrichment analyses in the control network. Table S4. Full list of the results of the GO enrichment analysis in the control network. Table S5. Correlation of the surrogate variables with the cell type proportion estimates. Table S6. Module distribution and transcript significance of DDR1 transcripts. (2024-01-30)
    Departament: Medicina i Cirurgia
    DOI: 10.34810/data1066
    Tipus de document: info:eu-repo/semantics/other
    Data alta repositori: 2024-01-30
    Autor: Aranda Castel, Selena
    Paraules clau: Gene expression
    Any de publicació de la dataset: 2024
    Títol del conjunt de dades: Replication Data for "Coexpression network analysis of the adult brain sheds light on the pathogenic mechanism of DDR1 in schizophrenia and bipolar disorder"
  • Paraules clau:

    Medicine, Health and Life Sciences
    Gene expression
  • Documents:

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