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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...
Ribosome Profiling02:24

Ribosome Profiling

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique helps...
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

Updated: May 10, 2026

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis
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Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis

Published on: November 11, 2014

RNA purification and expression analysis using microarrays and RNA deep sequencing.

Steven R Head1, Tony Mondala, Terri Gelbart

  • 1Microarray and Next Generation Sequencing Core Facility, The Scripps Research Institute, La Jolla, CA, USA.

Methods in Molecular Biology (Clifton, N.J.)
|June 19, 2013
PubMed
Summary

This chapter details methods for isolating messenger RNA (mRNA) from clinical samples to preserve RNA quality. It describes gene expression microarrays and RNA sequencing for transcriptome analysis in health and disease research.

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Method for the Isolation and Identification of mRNAs, microRNAs and Protein Components of Ribonucleoprotein Complexes from Cell Extracts using RIP-Chip

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Last Updated: May 10, 2026

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis
12:44

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis

Published on: November 11, 2014

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations
11:52

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Published on: August 4, 2016

Method for the Isolation and Identification of mRNAs, microRNAs and Protein Components of Ribonucleoprotein Complexes from Cell Extracts using RIP-Chip
13:34

Method for the Isolation and Identification of mRNAs, microRNAs and Protein Components of Ribonucleoprotein Complexes from Cell Extracts using RIP-Chip

Published on: September 29, 2012

Area of Science:

  • Molecular Biology
  • Genomics
  • Biotechnology

Background:

  • Transcriptome analysis provides insights into biological mechanisms.
  • Understanding gene expression is crucial in health and disease.
  • Standardized methods are needed for reliable RNA analysis.

Purpose of the Study:

  • To describe optimized methods for messenger RNA (mRNA) isolation from clinical tissues.
  • To present gene expression microarray and RNA sequencing (RNAseq) techniques for mRNA profiling.
  • To ensure RNA quality preservation for large-scale studies.

Main Methods:

  • Optimized protocols for mRNA isolation from cells and tissues.
  • Implementation of methods in multicenter clinical studies.
  • Detailed description of gene expression microarrays.
  • Detailed description of RNA sequencing (RNAseq) for mRNA profiling.

Main Results:

  • Successful implementation of RNA isolation methods in large, multicenter studies.
  • Demonstrated preservation of RNA quality using clinical materials.
  • Established protocols for both microarray and RNAseq analyses.

Conclusions:

  • Optimized mRNA isolation and profiling methods are essential for accurate transcriptome analysis.
  • The described techniques are suitable for clinical and laboratory settings.
  • These methods facilitate discovery and understanding of biological mechanisms in health and disease.