Pathway identification through transcriptome analysis
| Autor: | Luis F. Menezes, Gregory G. Germino, Takeshi Terabayashi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Polycystic Kidney Diseases TRPP Cation Channels PKD1 Gene Expression Profiling Wnt signaling pathway RNA Cell Biology Disease Computational biology Biology medicine.disease Article Transcriptome 03 medical and health sciences 030104 developmental biology 0302 clinical medicine 030220 oncology & carcinogenesis Polycystic kidney disease medicine Animals Humans Signal transduction PI3K/AKT/mTOR pathway |
| Zdroj: | Cell Signal |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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