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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 the pre-miRNA...
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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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The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the...
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Gene expression can be regulated at almost every step from gene to protein. Transcription is the step that is most commonly regulated. This involves the binding of proteins to short regulatory sequences on the DNA. This association can either promote or inhibit the transcription of a gene associated with the respective sequence.
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Biotin-based Pulldown Assay to Validate mRNA Targets of Cellular miRNAs
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Predicting miRNA Targets by Integrating Gene Regulatory Knowledge with Expression Profiles.

Weijia Zhang1, Thuc Duy Le1, Lin Liu1

  • 1School of Information Technology and Mathematical Sciences, University of South Australia, Adelaide, South Australia, Australia.

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|April 12, 2016
PubMed
Summary

This study introduces CIDER, a computational framework for discovering microRNA (miRNA) targets by integrating gene expression data with regulatory knowledge. CIDER enhances miRNA target prediction accuracy by leveraging biological insights, improving cancer mechanism understanding.

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Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Computational Biology

Background:

  • MicroRNAs (miRNAs) are key regulators of gene expression in plants and mammals, with their dysfunction linked to cancer.
  • Identifying miRNA functions is vital for understanding cancer and drug efficacy.
  • Current computational methods for miRNA-mRNA interactions often underutilize biological knowledge.

Purpose of the Study:

  • To develop an integrative computational framework for predicting miRNA targets.
  • To seamlessly integrate biological knowledge with high-throughput data for miRNA regulation discovery.

Main Methods:

  • Introduced CIDER (Causal miRNA target Discovery with Expression profile and Regulatory knowledge), an integrative framework.
  • Utilized diverse gene regulation knowledge (transcriptional and post-transcriptional) and gene expression data.
  • Validated the framework using simulation studies and analyses of EMT and breast cancer (BRCA) datasets.

Main Results:

  • CIDER effectively predicts miRNA targets by integrating expression data and regulatory knowledge.
  • Even limited transcriptional factor-miRNA or miRNA-mRNA regulatory knowledge improves prediction performance.
  • Combining both knowledge types further enhances prediction accuracy, with performance increasing monotonically with more regulatory knowledge.

Conclusions:

  • The CIDER framework offers a robust method for discovering miRNA-mRNA regulatory relationships.
  • Integrating biological knowledge significantly improves the accuracy of miRNA target prediction.
  • This approach advances the understanding of miRNA roles in biological processes and diseases like cancer.