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Related Concept Videos

MicroRNAs01:22

MicroRNAs

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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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miSEA: microRNA set enrichment analysis.

M Erdem Çorapçıoğlu1, Hasan Oğul2

  • 1Department of Computer Engineering, Baskent University, Ankara, Turkey; Department of Technology and Information Management, Baskent University, Ankara, Turkey.

Bio Systems
|June 21, 2015
PubMed
Summary
This summary is machine-generated.

We developed miSEA, a new web tool for analyzing microRNA enrichment in paired samples from gene expression experiments. This tool aids in understanding microRNA roles in diseases like cancer.

Keywords:
Gene set analysisMicroarray analysismiRNA-Seq data analysismicroRNA expression profiling

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Area of Science:

  • Bioinformatics
  • Genomics
  • Molecular Biology

Background:

  • MicroRNA (miRNA) expression profiling is crucial for understanding biological processes and disease mechanisms.
  • Analyzing large-scale miRNA datasets from microarray and miRNA sequencing (miRNA-Seq) experiments requires specialized tools.
  • Identifying relevant miRNA sets and their enrichment patterns is key to discovering biomarkers and therapeutic targets.

Purpose of the Study:

  • To introduce miSEA, a novel web-based tool for evaluating miRNA set enrichment in paired-sample expression data.
  • To provide a user-friendly platform for analyzing miRNA-Seq and microarray data.
  • To facilitate the exploration of miRNA functions through customizable grouping categories.

Main Methods:

  • miSEA integrates pre-annotated miRNA sets and allows users to import custom sets.
  • Users can select grouping categories such as miRNA families, disease associations, common regulators, and genomic coordinates.
  • The tool was validated using a cancer type-classification task on real miRNA expression profiling data.

Main Results:

  • miSEA provides a knowledge-driven framework for interpreting miRNA expression experiments.
  • The platform demonstrated usability in a practical cancer classification scenario.
  • The tool supports diverse analytical needs through flexible microRNA set selection and import functionalities.

Conclusions:

  • miSEA is a valuable resource for researchers analyzing miRNA expression data.
  • The tool enhances the understanding of miRNA roles in complex biological systems and diseases.
  • miSEA facilitates the discovery of novel miRNA biomarkers and therapeutic strategies.