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Related Concept Videos

Real Time RT-PCR02:57

Real Time RT-PCR

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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...
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Single-cell Gene Expression Profiling Using FACS and qPCR with Internal Standards
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The workflow of single-cell expression profiling using quantitative real-time PCR.

Anders Ståhlberg1, Mikael Kubista

  • 11Department of Pathology, Sahlgrenska Cancer Center, University of Gothenburg, Box 425, 40530 Gothenburg, Sweden.

Expert Review of Molecular Diagnostics
|March 22, 2014
PubMed
Summary
This summary is machine-generated.

Single-cell profiling analyzes individual cells to reveal biological responses missed in bulk studies. Quantitative reverse transcription real-time PCR (RT-qPCR) is a powerful method for this analysis, with future improvements expected.

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Area of Science:

  • Biotechnology
  • Molecular Biology
  • Genomics

Background:

  • Biological samples are inherently heterogeneous, with diverse cellular responses to stimuli.
  • Classical bulk analysis often masks individual cell variations and responses.
  • Single-cell analysis offers a deeper understanding of biological complexity.

Purpose of the Study:

  • To review the current state of single-cell expression profiling techniques.
  • To highlight the advantages of single-cell analysis over traditional methods.
  • To discuss future advancements in single-cell profiling technologies.

Main Methods:

  • Quantitative reverse transcription real-time PCR (RT-qPCR) is the primary method for single-cell expression profiling.
  • Development of robust RT-qPCR workflows for high-throughput, sensitive, and specific measurements.
  • Application of RT-qPCR for analyzing mRNAs, microRNAs, non-coding RNAs, and proteins.

Main Results:

  • Single-cell profiling identifies cellular responses missed in bulk samples.
  • Enables discovery of novel cell types and subtypes.
  • Facilitates identification of key biological pathways and expression networks.

Conclusions:

  • Single-cell profiling, particularly using RT-qPCR, provides unprecedented biological insights.
  • Current RT-qPCR methods are highly sensitive, specific, and suitable for high-throughput analysis.
  • Significant improvements and developments in single-cell profiling are anticipated in the next five years.