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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...
Regulation of Expression at Multiple Steps01:23

Regulation of Expression at Multiple Steps

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 addition of a...
Regulation of Expression Occurs at Multiple Steps02:24

Regulation of Expression Occurs at Multiple Steps

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.
Transcription results in the generation of precursor (pre-mRNA) that consists of both exons and introns, which needs further processing before being translated to a...
Regulation of Expression Occurs at Multiple Steps02:24

Regulation of Expression Occurs at Multiple Steps

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.
Transcription results in the generation of precursor (pre-mRNA) that consists of both exons and introns, which needs further processing before being translated to a...

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Related Experiment Video

Updated: May 10, 2026

Describing a Transcription Factor Dependent Regulation of the MicroRNA Transcriptome
07:23

Describing a Transcription Factor Dependent Regulation of the MicroRNA Transcriptome

Published on: June 15, 2016

Integrating sequence, expression and interaction data to determine condition-specific miRNA regulation.

Hai-Son Le1, Ziv Bar-Joseph

  • 1Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA.

Bioinformatics (Oxford, England)
|July 2, 2013
PubMed
Summary
This summary is machine-generated.

We developed Protein Interaction-based MicroRNA Modules (PIMiM), a new method to identify microRNA (miRNA) targets by integrating sequence, expression, and protein interaction data. PIMiM accurately identifies miRNA regulators and their targets in cancer, improving upon existing methods.

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Last Updated: May 10, 2026

Describing a Transcription Factor Dependent Regulation of the MicroRNA Transcriptome
07:23

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Published on: June 15, 2016

Analysis of Combinatorial miRNA Treatments to Regulate Cell Cycle and Angiogenesis
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Published on: March 30, 2019

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • MicroRNAs (miRNAs) are key regulators of gene expression, crucial in development and disease.
  • Accurate identification of miRNA-regulated networks is vital for understanding biological processes.
  • Previous miRNA target prediction relied on sequence or expression data alone.

Purpose of the Study:

  • To develop a novel computational method for identifying miRNA target modules.
  • To integrate multiple data types for improved miRNA target prediction accuracy.
  • To identify common and cancer-specific miRNA regulators across different cancer types.

Main Methods:

  • Developed Protein Interaction-based MicroRNA Modules (PIMiM), a regression-based probabilistic method.
  • Integrated sequence, expression, and protein-protein interaction data.
  • Formulated an optimization problem and developed a learning framework for module identification.

Main Results:

  • PIMiM accurately identifies miRNA and their mRNA targets by incorporating protein interaction data and modeling cooperative miRNA regulation.
  • Application to cancer data demonstrated improved performance over existing methods.
  • Joint analysis of multiple cancer types revealed common and cancer-specific miRNA regulators.

Conclusions:

  • PIMiM offers a powerful approach for dissecting miRNA regulatory networks.
  • The method enhances the accuracy of miRNA target prediction by leveraging integrated data.
  • Identified novel insights into miRNA roles in various cancer types.