Pathway identification through transcriptome analysis.

Pathway identification through transcriptome analysis. Cell Signal. 2020 Jul 07;:109701 Authors: Terabayashi A, Germino GG, Menezes LF 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. PMID: 32649993 [PubMed - as supplied by publisher]
Source: Cellular Signalling - Category: Cytology Authors: Tags: Cell Signal Source Type: research