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- W3041792439 endingPage "109701" @default.
- W3041792439 startingPage "109701" @default.
- W3041792439 abstract "Systems-based, agnostic approaches focusing on transcriptomics data have been employed to understand the pathogenesis of polycystic kidney diseases (PKD). While multiple signaling pathways, including Wnt, mTOR and G-protein-coupled receptors, have been implicated in late stages of disease, there were few insights into the transcriptional cascade immediately downstream of Pkd1 inactivation. One of the consistent findings has been transcriptional evidence of dysregulated metabolic and cytoskeleton remodeling pathways. Recent technical developments, including bulk and single-cell RNA sequencing technologies and spatial transcriptomics, offer new angles to investigate PKD. In this article, we review what has been learned based on transcriptional approaches and consider future opportunities." @default.
- W3041792439 created "2020-07-16" @default.
- W3041792439 creator A5016691060 @default.
- W3041792439 creator A5019589330 @default.
- W3041792439 creator A5090713937 @default.
- W3041792439 date "2020-10-01" @default.
- W3041792439 modified "2023-10-05" @default.
- W3041792439 title "Pathway identification through transcriptome analysis" @default.
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- W3041792439 doi "https://doi.org/10.1016/j.cellsig.2020.109701" @default.
- W3041792439 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32649993" @default.
- W3041792439 hasPublicationYear "2020" @default.
- W3041792439 type Work @default.