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Related Concept Videos

RNA-seq03:21

RNA-seq

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 microarray-based...
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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...
Next-generation Sequencing03:00

Next-generation Sequencing

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MicroRNAs01:22

MicroRNAs

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Related Experiment Video

Updated: Jun 5, 2026

MicroRNA Amplification and Recognition through Locked-nucleic-acid In situ Hybridization as a Novel Detection and Quantification Method
09:06

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

Published on: October 7, 2025

New methods for next generation sequencing based microRNA expression profiling.

Henk P J Buermans1, Yavuz Ariyurek, Gertjan van Ommen

  • 1Center for Human and Clinical Genetics, Leiden University Medical Center, Einthovenweg 20, 2333 ZC Leiden, The Netherlands. h.buermans@lumc.nl

BMC Genomics
|December 22, 2010
PubMed
Summary
This summary is machine-generated.

A new method enables high-quality microRNA sequencing library preparation for Illumina analyzers using minimal RNA. This advance facilitates efficient microRNA profiling and discovery in various biological samples.

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High Throughput MicroRNA Profiling: Optimized Multiplex qRT-PCR at Nanoliter Scale on the Fluidigm Dynamic ArrayTM IFCs
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High Throughput MicroRNA Profiling: Optimized Multiplex qRT-PCR at Nanoliter Scale on the Fluidigm Dynamic ArrayTM IFCs

Published on: August 3, 2011

Probe-based Real-time PCR Approaches for Quantitative Measurement of microRNAs
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Probe-based Real-time PCR Approaches for Quantitative Measurement of microRNAs

Published on: April 14, 2015

Related Experiment Videos

Last Updated: Jun 5, 2026

MicroRNA Amplification and Recognition through Locked-nucleic-acid In situ Hybridization as a Novel Detection and Quantification Method
09:06

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

Published on: October 7, 2025

High Throughput MicroRNA Profiling: Optimized Multiplex qRT-PCR at Nanoliter Scale on the Fluidigm Dynamic ArrayTM IFCs
07:27

High Throughput MicroRNA Profiling: Optimized Multiplex qRT-PCR at Nanoliter Scale on the Fluidigm Dynamic ArrayTM IFCs

Published on: August 3, 2011

Probe-based Real-time PCR Approaches for Quantitative Measurement of microRNAs
10:28

Probe-based Real-time PCR Approaches for Quantitative Measurement of microRNAs

Published on: April 14, 2015

Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • MicroRNAs (miRNAs) are crucial non-coding RNA regulators of post-transcriptional gene expression.
  • Next-generation sequencing (NGS) is well-suited for miRNA profiling due to its high throughput.
  • Existing library preparation methods may require optimization for specific sequencing platforms.

Purpose of the Study:

  • To adapt a small-RNA expression kit (SREK) library preparation for SOLiD sequencing to be compatible with Illumina Genome Analyzer.
  • To develop an efficient bioinformatics pipeline for analyzing miRNA sequencing data.
  • To profile cardiac-enriched microRNAs in chicken embryos and assess tissue-specific modifications.

Main Methods:

  • Modified small-RNA library preparation protocol for Illumina compatibility.
  • Development of the E-miR perl-based analysis pipeline for automated data processing.
  • Application of the method to small RNA from stage 16 chicken embryos.

Main Results:

  • High-quality miRNA sequencing libraries were generated from as little as 100 ng of small RNA.
  • The E-miR pipeline successfully processed sequencing data, including adapter removal and genome alignment.
  • 37 cardiac-enriched miRNAs were identified in chicken embryos; isomir profiles were highly correlated between heart and whole embryo.

Conclusions:

  • The described alternative sample preparation method effectively generates high-quality miRNA sequencing libraries for the Illumina Genome Analyzer.
  • The E-miR pipeline provides an efficient tool for miRNA sequencing data analysis.
  • Tissue-specific miRNA modifications were not evident in the analyzed chicken embryo samples.