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Real Time RT-PCR02:57

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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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An Optogenetic Method to Control and Analyze Gene Expression Patterns in Cell-to-cell Interactions
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Division time-based amplifiers for stochastic gene expression.

Haohua Wang1, Zhanjiang Yuan, Peijiang Liu

  • 1School of Mathematics and Computational Science, Sun Yat-Sen University, Guangzhou 510275, People's Republic of China. mcszhtsh@mail.sysu.edu.cn.

Molecular Biosystems
|July 17, 2015
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Summary
This summary is machine-generated.

Cell division timing significantly impacts gene expression noise. Both constant and random cell divisions increase mRNA levels, while random divisions amplify noise and alter mRNA distribution, enhancing cell-to-cell variability.

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Area of Science:

  • Molecular Biology
  • Systems Biology
  • Computational Biology

Background:

  • Cell-to-cell variability arises from gene expression noise.
  • Noise sources include intrinsic factors (mRNA dynamics, promoter switching) and extrinsic factors (cell division).
  • The impact of time-based cell division on gene expression and variability is largely unexplored.

Purpose of the Study:

  • To investigate how cell-cycle length affects gene expression dynamics.
  • To determine the contribution of time-based cell division to cell-to-cell variability.
  • To differentiate the effects of constant versus random cell division times.

Main Methods:

  • Utilized a computational model.
  • Integrated experimental data with the computational model.
  • Analyzed the impact of cell-cycle length on mRNA expression dynamics.

Main Results:

  • Both constant and random cell divisions increase mean mRNA levels and lengthen mean first passage time.
  • Random cell division amplifies expression noise compared to constant division.
  • Random division stabilizes temporal expression levels, unimodalizes mRNA distribution, and lengthens its tail.

Conclusions:

  • Cell division timing is a significant factor influencing gene expression.
  • Time-based cell division mechanisms effectively increase expression levels.
  • Cell division, particularly with random timing, enhances cell-to-cell variability.