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MicroRNAs01:22

MicroRNAs

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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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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...
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RNA-seq03:21

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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Related Experiment Video

Updated: Feb 28, 2026

Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data
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Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data

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Recent computational developments on CLIP-seq data analysis and microRNA targeting implications.

Silvia Bottini1, David Pratella1, Valerie Grandjean1

  • 1Université Côte d'Azur, Inserm, C3M, 151 route de St-Antoine-de-Ginestière, B.P. 2 3194, 06204 Nice, France.

Briefings in Bioinformatics
|June 13, 2017
PubMed
Summary
This summary is machine-generated.

Cross-Linking Immunoprecipitation sequencing (CLIP-seq) identifies RNA-protein interactions. This review details computational methods for CLIP-seq analysis, focusing on Argonaute 2 (Ago2) and microRNA (miRNA) binding sites for disease insights.

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Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Genomics

Background:

  • Cross-Linking Immunoprecipitation sequencing (CLIP-seq) is vital for mapping RNA-protein interactions transcriptome-wide.
  • Advances enable simultaneous analysis of multiple CLIP-seq samples, revealing complex RNA-protein networks.
  • Effective CLIP-seq data analysis design and quality control are crucial for reliable biological insights.

Purpose of the Study:

  • To review recent computational methods for CLIP-seq data analysis.
  • To discuss the impact of these methods on identifying and predicting Argonaute 2 (Ago2)/microRNA (miRNA) binding sites.
  • To highlight the relevance of Ago2/miRNA interactions in human pathologies.

Main Methods:

  • Review of current computational algorithms and pipelines for CLIP-seq data processing.
  • Comparative analysis of methods for peak calling and binding site prediction.
  • Integration of CLIP-seq data with other genomic datasets.

Main Results:

  • CLIP-seq, particularly applied to Ago2, directly identifies miRNA binding sites.
  • Computational tools are essential for analyzing large-scale CLIP-seq data and uncovering RNA-protein interaction networks.
  • Recent methods improve the accuracy and scope of Ago2/miRNA-binding site identification.

Conclusions:

  • Advanced computational analysis of CLIP-seq data is critical for understanding RNA-protein interactions.
  • CLIP-seq analysis of Ago2 provides key insights into miRNA-mediated gene regulation.
  • This approach has significant implications for studying human diseases driven by miRNA dysregulation.