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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...
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 ends...
mTOR Signaling and Cancer Progression03:03

mTOR Signaling and Cancer Progression

The mammalian target of rapamycin or mTOR protein was discovered in 1994 due to its direct interaction with rapamycin. The protein gets its name from a yeast homolog called TOR. The mTOR protein complex in mammalian cells plays a major role in balancing anabolic processes such as the synthesis of proteins, lipids, and nucleotides and catabolic processes, such as autophagy in response to environmental cues, such as availability of nutrients and growth factors.
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mTOR Signaling and Cancer Progression03:03

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lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA (lncRNA)...
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Related Experiment Video

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miRNA Expression Analyses in Prostate Cancer Clinical Tissues
11:29

miRNA Expression Analyses in Prostate Cancer Clinical Tissues

Published on: September 8, 2015

Increased microRNA activity in human cancers.

Ariel Israel1, Roded Sharan, Eytan Ruppin

  • 1Goldyne Savad Gene Therapy Institute, Hadassah Hebrew University Hospital, Jerusalem, Israel.

Plos One
|June 27, 2009
PubMed
Summary

This study introduces a new computational method to measure microRNA (miRNA) activity by analyzing gene expression. The research found globally increased miRNA activity in thyroid and breast cancers, linked to tumor suppressor gene downregulation.

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Area of Science:

  • Molecular Biology
  • Genomics
  • Cancer Research

Background:

  • MicroRNAs (miRNAs) are key regulators of gene expression, influencing biological processes like development and differentiation.
  • Aberrant miRNA expression is frequently observed in various cancers, highlighting their role in tumorigenesis.
  • Understanding miRNA activity is crucial for deciphering cancer mechanisms.

Purpose of the Study:

  • To develop a novel computational method for quantifying miRNA biological activity using gene expression data.
  • To assess global miRNA activity in papillary thyroid carcinoma and breast cancer.
  • To investigate the relationship between miRNA activity and gene expression changes in these cancers.

Main Methods:

  • A computational approach was developed to infer miRNA activity based on variations in gene expression data.
  • MiRNA activity was quantified in papillary thyroid carcinoma and breast cancer datasets.
  • The study analyzed the correlation between miRNA activity and the expression levels of predicted miRNA target genes.

Main Results:

  • A distinct signal of globally increased miRNA activity was identified in both papillary thyroid carcinoma and breast cancer.
  • This increased miRNA activity correlated with a global downregulation of miRNA target genes.
  • Genes with multiple miRNA target sites showed particularly pronounced downregulation, including known tumor suppressors.

Conclusions:

  • The developed computational method effectively quantifies miRNA activity from gene expression data.
  • Elevated global miRNA activity is a characteristic feature of papillary thyroid carcinoma and breast cancer.
  • The observed downregulation of tumor suppressor genes by increased miRNA activity suggests a tumorigenic role for enhanced miRNA activity in these cancers.