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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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The pentose sugar in DNA is deoxyribose, while in RNA the pentose sugar is ribose. The difference between the sugars is the presence of the hydroxyl group on the ribose's second carbon and a hydrogen on the deoxyribose's second carbon. The phosphate residue attaches to the hydroxyl group of the 5′ carbon of one sugar and the hydroxyl group of the 3′ carbon of the sugar of the next nucleotide, which forms  a 5′ to 3′ phosphodiester linkage.
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Biotin-based Pulldown Assay to Validate mRNA Targets of Cellular miRNAs
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MicroRNA target prediction: theory and practice.

Mathias Wagner1, Benjamin Vicinus, Vilma Oliveira Frick

  • 1Department of Pathology, University of Saarland Medical School, Homburg Saar, Germany.

Molecular Genetics and Genomics : MGG
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Summary

This study evaluated microRNA (miRNA) target prediction tools using colorectal cancer tissue. Hsa-miR-21 was confirmed to interact with CCL20 mRNA, but hsa-miR-145 did not show interaction.

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Area of Science:

  • Bioinformatics
  • Molecular Biology
  • Oncology

Background:

  • MicroRNA (miRNA) target prediction algorithms are crucial for understanding gene regulation.
  • Validating these predictions using experimental data, especially from human tissue samples, is essential.
  • The interaction between miRNAs and messenger RNA (mRNA) plays a significant role in various biological processes, including cancer development.

Purpose of the Study:

  • To evaluate the accuracy of twelve different miRNA target prediction tools.
  • To experimentally validate predicted miRNA interactions with CCL20 gene expression in colorectal adenocarcinoma tissues.
  • To assess the feasibility of predicting miRNA expression based on target gene expression data.

Main Methods:

  • Utilized twelve target prediction tools to identify potential miRNAs regulating CCL20.
  • Performed luciferase assays and gene expression analyses (qRT-PCR, ELISA) on colorectal adenocarcinoma tissue samples.
  • Predicted the folding status of mRNA seed-binding sites and attempted miRNA expression prediction from target gene data.

Main Results:

  • Eight tools predicted hsa-miR-21 involvement, and four predicted hsa-miR-145 involvement in CCL20 regulation.
  • Experimental validation confirmed CCL20 as a target of hsa-miR-21, but not hsa-miR-145.
  • No clear assertion was made regarding molecule expression levels, and predicting miRNA expression from target gene expression proved impossible.

Conclusions:

  • Hsa-miR-21 is a validated regulator of CCL20 in the context of colorectal adenocarcinoma.
  • Current target prediction tools show variability, and experimental validation is critical.
  • Further systematic studies are required to understand the complex regulatory roles of miRNAs, including their potential for both repression and activation.