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Related Concept Videos

Real Time RT-PCR02:57

Real Time RT-PCR

Real-time reverse transcription-polymerase chain reaction, or Real-time RT-PCR, is an analytical tool used to determine the expression level of target genes. The method involves converting mRNA to complementary DNA with the help of an enzyme known as reverse transcriptase, followed by the PCR amplification of the cDNA. These two processes can be performed simultaneously in a single tube or separately as a two-step reaction.
The real-time quantification of the number of amplified products is...
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...

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Related Experiment Video

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Single-cell Gene Expression Profiling Using FACS and qPCR with Internal Standards
10:50

Single-cell Gene Expression Profiling Using FACS and qPCR with Internal Standards

Published on: February 25, 2017

Single-cell gene expression profiling using reverse transcription quantitative real-time PCR.

Anders Ståhlberg1, Martin Bengtsson

  • 1Lundberg Laboratory for Cancer, Department of Pathology, Sahlgrenska Academy at University of Gothenburg, Gula Straket 8, 413 45 Gothenburg, Sweden. anders.stahlberg@neuro.gu.se

Methods (San Diego, Calif.)
|January 13, 2010
PubMed
Summary
This summary is machine-generated.

Understanding single-cell gene expression reveals significant cell-to-cell variability. This quantitative mRNA profiling method enables deeper insights into molecular mechanisms and cell regulation.

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Last Updated: Jun 17, 2026

Single-cell Gene Expression Profiling Using FACS and qPCR with Internal Standards
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Published on: February 25, 2017

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Area of Science:

  • Molecular Biology
  • Genomics
  • Cell Biology

Background:

  • Individual cells within a population exhibit significant heterogeneity.
  • Cellular responses to stimuli can appear uniform at the population level but are irregular at the single-cell level.
  • Understanding this cellular variability is crucial for deciphering biological processes.

Purpose of the Study:

  • To develop and present a method for quantitative single-cell mRNA profiling.
  • To address the challenges posed by cell-to-cell variability in gene expression data.
  • To enable the identification of regulatory elements through correlation studies.

Main Methods:

  • Single-cell isolation using glass capillaries or flow cytometry.
  • Development of a single-cell lysis protocol.
  • Optimization of reverse transcription and real-time PCR for quantitative mRNA profiling.

Main Results:

  • Demonstration of a robust method for single-cell gene expression analysis.
  • Highlighting the significant cell-to-cell variability in gene expression.
  • Establishing correlation studies as a tool to identify common regulatory elements.

Conclusions:

  • Single-cell gene expression profiling is a powerful technique for uncovering hidden biological insights.
  • This method facilitates the study of stochastic and preprogrammed cellular variability.
  • The approach has the potential to become a standard research tool in molecular biology laboratories.