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Related Concept Videos

Renal Corpuscle01:20

Renal Corpuscle

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The glomerulus and Bowman's capsule are two essential components of the nephron, which is the functional unit of the kidney. These microscopic structures play a critical role in the process of blood filtration to produce urine.
Glomerulus: Structure and Function
The glomerulus is a tiny, intricate network of capillaries located at the beginning of the nephron. It's enveloped by the Bowman's capsule and receives its blood supply from an afferent arteriole, which divides into numerous...
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Related Experiment Video

Updated: Dec 25, 2025

The Use of Reverse Phase Protein Arrays RPPA to Explore Protein Expression Variation within Individual Renal Cell Cancers
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Transcriptomics in RCC.

Jamil S Syed1, Joseph Brito1, Aydin Pooli2

  • 1Department of Urology, Yale School of Medicine, New haven, Ct, USA.

Urologic Oncology
|March 31, 2020
PubMed
Summary
This summary is machine-generated.

Transcriptomic profiling offers valuable insights into kidney cancer subtypes and microenvironments. This technology aids in predicting treatment response and stratifying patients for adjuvant therapy, with decreasing costs enabling wider clinical application.

Keywords:
MicroarrayPrognosisRenal cell carcinomaTranscriptome

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Application of Laser Microdissection to Uncover Regional Transcriptomics in Human Kidney Tissue
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Area of Science:

  • Molecular Biology
  • Genetics
  • Bioinformatics
  • Oncology

Background:

  • Transcriptomic profiling, utilizing advances in molecular biology and bioinformatics, is increasingly used in clinical settings.
  • Understanding ribonucleic acid (RNA) transcript populations provides critical clinical information for kidney cancer diagnosis and management.
  • Current RNA sequencing (RNA-seq) methods analyze tumor regions, encompassing heterogeneous cells and the tumor microenvironment.

Purpose of the Study:

  • To review the current literature on the application of transcriptomics in kidney cancer.
  • To highlight the role of transcriptomic data in understanding kidney cancer subtypes and patient stratification.
  • To discuss the potential of transcriptomic signatures in predicting treatment response and patient survival.

Main Methods:

  • Review of current scientific literature on transcriptomics in kidney cancer.
  • Analysis of computational deconvolution tools for analyzing tumor microenvironment.
  • Identification of specific transcriptomic signatures related to tumor biology and clinical outcomes.

Main Results:

  • Transcriptomic profiling can differentiate kidney cancer subtypes and clusters.
  • Computational deconvolution of RNA-seq data provides insights into tumor microenvironment composition.
  • Identified signatures of hypoxia, proliferation, angiogenesis, and immune infiltration correlate with treatment response and survival.
  • Prognostic signatures aid in risk stratification for adjuvant therapy decisions.

Conclusions:

  • Transcriptomics offers significant potential for improving kidney cancer diagnosis and management.
  • The decreasing cost of sequencing and advancements in bioinformatics are facilitating clinical integration.
  • Transcriptomic data can enhance personalized treatment strategies and patient outcomes in kidney cancer care.