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Related Concept Videos

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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Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples
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Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples

Published on: June 8, 2020

RNA preparation and characterization for gene expression studies.

Michael Stangegaard1

  • 1University of Copenhagen, Copenhagen, Denmark.

Methods in Molecular Biology (Clifton, N.J.)
|April 22, 2009
PubMed
Summary
This summary is machine-generated.

Gene expression analysis is now possible from single cells. Amplified RNA can be reverse transcribed and fluorescently labeled for DNA microarray hybridization, enabling detailed transcriptome studies.

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Published on: August 4, 2016

Area of Science:

  • Molecular Biology
  • Genomics
  • Biotechnology

Background:

  • Understanding gene expression is crucial for biological insights.
  • Technological advancements allow for gene expression studies using minimal starting material.

Purpose of the Study:

  • To describe a method for gene expression analysis from single cells.
  • To enable detailed transcriptome profiling with limited samples.

Main Methods:

  • Linear amplification of messenger RNA (mRNA) from a single cell.
  • Reverse transcription of amplified RNA.
  • Fluorescent labeling of RNA for hybridization.

Main Results:

  • Achieved over 10(6)-fold amplification of single-cell mRNA.
  • Generated stable targets for DNA microarray analysis.

Conclusions:

  • Single-cell gene expression profiling is feasible with current technologies.
  • Amplified and labeled RNA provides a robust platform for transcriptome analysis.