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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)...

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Related Experiment Video

Updated: May 31, 2026

MicroRNA Amplification and Recognition through Locked-nucleic-acid In situ Hybridization as a Novel Detection and Quantification Method
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MicroRNA Amplification and Recognition through Locked-nucleic-acid In situ Hybridization as a Novel Detection and Quantification Method

Published on: October 7, 2025

namiRa: A comprehensive, manually curated database for MicroRNA expression, function, and deregulation in cancer.

Saeed Mohebbi1, Alireza Dostmohammadi2, Sara Amjadian1

  • 1Department of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran.

Computers in Biology and Medicine
|May 28, 2026
PubMed
Summary

MicroRNAs (miRNAs) are key in cancer development. The namiRa database consolidates scattered miRNA data, offering comprehensive insights into miRNA expression and function across diverse human cancers.

Keywords:
CarcinogenesisMetastasisMicroRNAOncogenesisRNAiTumormiRNA regulatory network

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An In Vitro Protocol for Evaluating MicroRNA Levels, Functions, and Associated Target Genes in Tumor Cells

Published on: May 21, 2019

Area of Science:

  • Genomics
  • Bioinformatics
  • Cancer Research

Background:

  • MicroRNAs (miRNAs) are crucial regulators in human cancer pathogenesis, acting as oncogenes or tumor suppressors.
  • Existing miRNA databases lack comprehensive functional analysis and comparative visualization capabilities for cancer-related data.
  • Information on miRNA expression, function, and regulation in cancer is fragmented across numerous publications.

Purpose of the Study:

  • To develop namiRa, a manually curated database consolidating miRNA expression patterns, functional roles, and regulatory interactions in human cancers.
  • To provide a centralized resource for in-depth functional analysis and comparative visualization of miRNA data across diverse cancer types.
  • To establish a comprehensive repository of miRNA-cancer associations based on a thorough literature review.

Main Methods:

  • Manual curation of miRNA expression profiles, functional analyses (in vitro and in vivo), and regulatory networks from published literature.
  • Systematic literature review to identify and extract data on miRNA-cancer associations.
  • Development of a web-accessible database (https://www.namira-db.com) for data storage and retrieval.

Main Results:

  • The namiRa database currently documents curated relationships between 1095 human miRNAs and 33 types of human cancers.
  • Data is derived from a comprehensive analysis of 9983 published papers.
  • The database includes miRNA expression profiles, detection methods, functional data, and visualized regulatory networks.

Conclusions:

  • namiRa serves as a valuable, comprehensive resource for researchers studying miRNA roles in human cancers.
  • The database facilitates a deeper understanding of miRNA-cancer associations and regulatory mechanisms.
  • namiRa addresses the need for integrated and accessible miRNA data for cancer research.