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Related Concept Videos

MicroRNAs01:22

MicroRNAs

MicroRNA (miRNA) are short, regulatory RNA transcribed from introns (non-coding regions of a gene) or intergenic regions (stretches of DNA present between genes). Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself, forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA...

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Related Experiment Video

Updated: May 10, 2026

MicroRNA In situ Hybridization for Formalin Fixed Kidney Tissues
12:21

MicroRNA In situ Hybridization for Formalin Fixed Kidney Tissues

Published on: November 30, 2013

MicroRNA profiles classify papillary renal cell carcinoma subtypes.

S Wach1, E Nolte, A Theil

  • 1Department of Urology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany. sven.wach@uk-erlangen.de

British Journal of Cancer
|June 27, 2013
PubMed
Summary
This summary is machine-generated.

Five microRNAs accurately classify renal cell carcinoma (RCC) subtypes, revealing potential links to chemotherapy resistance and MYC signaling in papillary RCC type 2. This advances understanding of kidney cancer molecular characteristics.

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Detection of MicroRNA Expression in the Kidneys of Immunoglobulin A Nephropathic Mice
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Detection of MicroRNA Expression in the Kidneys of Immunoglobulin A Nephropathic Mice

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Related Experiment Videos

Last Updated: May 10, 2026

MicroRNA In situ Hybridization for Formalin Fixed Kidney Tissues
12:21

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Published on: November 30, 2013

The Use of Reverse Phase Protein Arrays (RPPA) to Explore Protein Expression Variation within Individual Renal Cell Cancers
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Detection of MicroRNA Expression in the Kidneys of Immunoglobulin A Nephropathic Mice
05:39

Detection of MicroRNA Expression in the Kidneys of Immunoglobulin A Nephropathic Mice

Published on: July 8, 2020

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Papillary renal cell carcinoma (pRCC) is the second most common kidney cancer.
  • pRCC has two subtypes with clinical relevance but unknown molecular differences.
  • Clear-cell RCC (ccRCC) is the most common type.

Purpose of the Study:

  • To investigate the molecular characteristics of pRCC subtypes.
  • To develop a classification model for RCC subtypes using microRNA (miRNA) expression.
  • To identify potential therapeutic targets in RCC.

Main Methods:

  • Microarray-based miRNA expression profiling of ccRCC, pRCC types 1 and 2, and normal kidney tissue.
  • Development of a miRNA-based classification model.
  • Gene set enrichment analysis of predicted miRNA target genes.

Main Results:

  • A panel of five miRNAs (miR-145, -200c, -210, -502-3p, let-7c) accurately classified RCC samples (73.9% accuracy).
  • Enrichment of multidrug-resistance protein genes was observed in all tumor samples.
  • Potential miRNA targets in the Jak-STAT signaling pathway were identified for pRCC subtypes.

Conclusions:

  • MicroRNAs can accurately classify RCC samples.
  • Deregulated miRNAs may contribute to chemotherapy resistance in RCC.
  • pRCC type 2 tumors may rely on oncogenic MYC signaling.