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High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
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Pathway identification through transcriptome analysis.

Takeshi Terabayashi1, Gregory G Germino1, Luis F Menezes1

  • 1Kidney Disease Branch, National Institute of Diabetes and Digestive and Kidney Disease, National Institutes of Health (NIH), Bethesda, MD, United States.

Cellular Signalling
|July 11, 2020
PubMed
Summary
This summary is machine-generated.

Transcriptomics reveal key metabolic and cytoskeleton changes in polycystic kidney disease (PKD) pathogenesis. This review explores insights into the transcriptional cascade following Pkd1 inactivation and future research directions.

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Area of Science:

  • Genomics and Molecular Biology
  • Nephrology and Urology

Background:

  • Polycystic kidney diseases (PKD) pathogenesis is often studied using transcriptomics.
  • While late-stage pathways like Wnt and mTOR are implicated, early transcriptional events post-Pkd1 inactivation remain unclear.
  • Metabolic and cytoskeleton remodeling pathways consistently show dysregulation in PKD.

Purpose of the Study:

  • To review current understanding of PKD pathogenesis derived from transcriptomic approaches.
  • To highlight the transcriptional cascade immediately downstream of Pkd1 inactivation.
  • To discuss future research opportunities in PKD using advanced transcriptomic technologies.

Main Methods:

  • Analysis of transcriptomics data from PKD models and patients.
  • Review of studies implicating signaling pathways in PKD.
  • Consideration of bulk and single-cell RNA sequencing, and spatial transcriptomics.

Main Results:

  • Transcriptional evidence points to dysregulated metabolic and cytoskeleton remodeling pathways in PKD.
  • Limited insights into the immediate transcriptional cascade following Pkd1 inactivation.
  • Identification of key pathways involved in disease progression.

Conclusions:

  • Transcriptomics provides valuable insights into PKD pathogenesis, particularly metabolic and cytoskeletal alterations.
  • Advanced sequencing technologies offer new avenues for investigating PKD.
  • Further research is needed to fully elucidate the early transcriptional events in PKD.