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Related Concept Videos

MicroRNAs01:22

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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...
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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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Bioinformatics Resources for MicroRNA Discovery.

Alyssa C Moore1, Jonathan S Winkjer1, Tsai-Tien Tseng1

  • 1Department of Molecular and Cellular Biology, Kennesaw State University, Kennesaw, GA, USA.

Biomarker Insights
|January 29, 2016
PubMed
Summary
This summary is machine-generated.

MicroRNAs (miRNAs) are key biomarkers in disease, especially cancer. This review highlights curated databases that help analyze miRNA sequencing data for better understanding and disease evaluation.

Keywords:
bioinformaticsdatabasemicroRNA

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Area of Science:

  • Biochemistry and Molecular Biology
  • Bioinformatics
  • Genomics

Background:

  • MicroRNAs (miRNAs) play a crucial role in disease development, particularly in cancer.
  • Next-generation sequencing has led to a massive increase in miRNA data.
  • Bioinformatics approaches are essential for processing and analyzing this vast amount of data.

Purpose of the Study:

  • To review curated databases for microRNA (miRNA) and their targets.
  • To provide an overview of resources for analyzing miRNA sequencing data.
  • To facilitate a better understanding of miRNA functions in disease.

Main Methods:

  • Literature review of relevant scientific publications.
  • Identification and description of curated miRNA databases.
  • Focus on databases containing both predicted and experimentally validated miRNA targets.

Main Results:

  • Several curated databases for miRNAs and their targets have been identified.
  • These databases offer valuable resources for researchers studying miRNA functions.
  • The review categorizes databases based on predicted and validated target information.

Conclusions:

  • Curated miRNA databases are essential tools for advancing research in molecular biology and disease.
  • Effective utilization of these databases aids in biomarker discovery and understanding disease mechanisms.
  • Continued development of bioinformatics resources is crucial for interpreting large-scale sequencing data.