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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...
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...
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)...
Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
Hybridoma Technology01:31

Hybridoma Technology

Hybridoma technology is used for the large-scale production of monoclonal antibodies. Monoclonal antibodies bind to only a single antigenic determinant or epitope. Such antibodies are used in research, diagnostics, and disease therapy. The hybridoma technology established in 1975 by Georges Köhler and Cesar Milstein was awarded the Nobel Prize in Medicine in 1984 for revolutionizing research and therapy.
Hybridoma Selection
Commonly used fusion techniques — electroporation, polyethylene glycol...

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Related Experiment Video

Updated: Jun 3, 2026

Detection of miRNA Targets in High-throughput Using the 3'LIFE Assay
12:49

Detection of miRNA Targets in High-throughput Using the 3'LIFE Assay

Published on: May 25, 2015

HOCTAR database: a unique resource for microRNA target prediction.

Vincenzo Alessandro Gennarino1, Marco Sardiello, Margherita Mutarelli

  • 1Telethon Institute of Genetics and Medicine, Naples, Italy. gennarin@bcm.edu

Gene
|March 26, 2011
PubMed
Summary

MicroRNAs (miRNAs) regulate gene expression and are implicated in human disorders. The HOCTAR database aids researchers by providing reliable predicted miRNA target genes, integrating expression data for enhanced accuracy.

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Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Genomics

Background:

  • MicroRNAs (miRNAs) are key regulators of gene expression in mammals, influencing mRNA cleavage and translation.
  • miRNAs are often encoded within host genes, exhibiting coordinated expression patterns.
  • Accurate identification of miRNA target genes is crucial due to their role in human diseases.

Purpose of the Study:

  • To introduce HOCTARdb, a database of predicted target genes for intragenic human miRNAs.
  • To integrate miRNA target predictions with transcriptomic data for improved target scoring.
  • To provide a reliable resource for researchers investigating miRNA-gene interactions.

Main Methods:

  • Compilation of predicted target genes for 290 intragenic human miRNAs.
  • Integration of miRNA target prediction with host gene expression data.
  • Validation of HOCTARdb predictions using 135 known validated miRNA targets.
  • Gene Ontology analysis to associate biological roles with miRNA networks.

Main Results:

  • HOCTARdb provides ranked lists of predicted target genes for intragenic miRNAs.
  • The database integrates miRNA target predictions and transcriptomic data for robust scoring.
  • HOCTARdb predictions demonstrate high reliability when validated against known targets.
  • Gene Ontology analysis enriches the understanding of miRNA-controlled biological networks.

Conclusions:

  • HOCTARdb is a valuable, publicly available resource for identifying miRNA target genes.
  • The integration of expression data enhances the accuracy of miRNA target predictions.
  • HOCTARdb facilitates research into miRNA function and their involvement in human disorders.