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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...
DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

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Related Experiment Video

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Cerebrospinal Fluid MicroRNA Profiling Using Quantitative Real Time PCR
09:26

Cerebrospinal Fluid MicroRNA Profiling Using Quantitative Real Time PCR

Published on: January 22, 2014

Consensus miRNA expression profiles derived from interplatform normalization of microarray data.

Rhishikesh Bargaje1, Manoj Hariharan, Vinod Scaria

  • 1Functional Genomics Unit, Institute of Genomics and Integrative Biology, Council of Scientific and Industrial Research (CSIR), Delhi 110 007, India.

RNA (New York, N.Y.)
|December 2, 2009
PubMed
Summary
This summary is machine-generated.

This study created a microRNA (miRNA) expression database using public data. The database offers validated, cross-platform miRNA expression levels for research, aiding in understanding miRNA function and regulation.

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Last Updated: Jun 18, 2026

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A Complete Pipeline for Isolating and Sequencing MicroRNAs, and Analyzing Them Using Open Source Tools

Published on: August 21, 2019

Area of Science:

  • Molecular Biology
  • Genetics
  • Bioinformatics

Background:

  • MicroRNAs (miRNAs) are small noncoding RNAs regulating eukaryotic gene expression post-transcriptionally.
  • miRNAs are crucial for development and cellular gene regulatory networks.
  • Accurate quantification of miRNA expression across diverse conditions is essential.

Purpose of the Study:

  • To establish a comprehensive database of miRNA expression profiles.
  • To identify and validate suitable normalization methods for cross-platform miRNA data comparison.
  • To provide a reliable resource for studying miRNA function and regulation.

Main Methods:

  • Collected and processed high-throughput miRNA expression data from public repositories.
  • Compared and selected appropriate normalization methods for interplatform data analysis.
  • Validated the generated miRNA expression profiles against known biological features.

Main Results:

  • Developed a database with interlaboratory and interplatform validated miRNA expression levels.
  • Confirmed tissue-specific and constitutively expressed miRNAs.
  • Observed functional diversification in the let-7 miRNA family based on expression patterns.
  • Found varying correlations between intronic/clustered miRNAs and their host genes.

Conclusions:

  • The miRNA expression database serves as a valuable resource for consistent, cross-platform analysis.
  • Validated expression profiles aid in understanding miRNA roles in biological processes.
  • Comparative analysis reveals insights into miRNA family evolution and gene regulation.