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Showing 1–6 of 6 results
Advanced filters: Author: David Soave Clear advanced filters

  • The accuracy and granularity of classifying cell types in the tumour microenvironment (TME) from single-cell RNA-seq data is impacted by heterogeneity among cancer cells and similarities among functionally related immune cells. Here, the authors develop scATOMIC, a tumour and TME cell type classifier based on a hierarchical approach that can be applied to pan-cancer datasets.

    • Ido Nofech-Mozes
    • David Soave
    • Sagi Abelson
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-14

  • Age-related clonal hematopoiesis is associated with risk for diseases like acute myeloid leukemia (AML), yet it is unclear why some individuals do not progress despite having AML driver mutations. Here, the authors use deep learning and population genetics models to investigate how the interplay of positive and negative selection influences AML progression.

    • Kimberly Skead
    • Armande Ang Houle
    • Philip Awadalla
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-11

  • Individuals with different genotypes may respond differently to environmental variation. Here, Favé et al. find substantial impacts of different environment exposures on the transcriptome and clinical endophenotypes when controlling for genetic ancestry by analyzing data from ∼1000 individuals from a founder population in Quebec.

    • Marie-Julie Favé
    • Fabien C. Lamaze
    • Philip Awadalla
    ResearchOpen Access
    Nature Communications
    Volume: 9, P: 1-12

  • Wall et al. describe the selective activation of an adenosine A1 receptor-mediated intracellular pathway that provides potent analgesia in the absence of sedation or cardiorespiratory depression, paving the way for novel medicines based on the far-reaching concept of selective Gα agonism.

    • Mark J. Wall
    • Emily Hill
    • Bruno G. Frenguelli
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-22