Jove
Visualize
Contact Us

Related Concept Videos

PCR01:32

PCR

Overview
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...
PCR - Polymerase Chain Reaction01:32

PCR - Polymerase Chain Reaction

Overview
Hardy-Weinberg Principle01:49

Hardy-Weinberg Principle

Diploid organisms have two alleles of each gene, one from each parent, in their somatic cells. Therefore, each individual contributes two alleles to the gene pool of the population. The gene pool of a population is the sum of every allele of all genes within that population and has some degree of variation. Genetic variation is typically expressed as a relative frequency, which is the percentage of the total population that has a given allele, genotype or phenotype.In the early 20th century,...
Probability Laws01:49

Probability Laws

Overview
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least squares (OLS)...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Environmental DNA (eDNA) from humans: Review of recent advancements and forensic implications.

International journal of legal medicine·2026
Same author

Regulatory and Ethical Frameworks for First-in-Human Clinical Trials in India: Proceedings of a Codesigned Capacity-Building Workshop.

Clinical drug investigation·2026
Same author

Chorioallantoic membrane assay demonstrating pro-angiogenic properties of BRAF inhibitor: a tool to treat chronic wounds.

Growth factors (Chur, Switzerland)·2026
Same author

A Machine Learning Strategy to Predict the Number of High-Acuity Children Who Leave Without Being Seen From the Emergency Department.

Journal of the American College of Emergency Physicians open·2026
Same author

An observational study on multidrug resistance in pediatric patients with urinary tract infections.

Naunyn-Schmiedeberg's archives of pharmacology·2025
Same author

Increasing early phase clinical trials capacity in India.

Communications medicine·2025
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jul 17, 2026

Polymerase Chain Reaction: Basic Protocol Plus Troubleshooting and Optimization Strategies
09:00

Polymerase Chain Reaction: Basic Protocol Plus Troubleshooting and Optimization Strategies

Published on: May 22, 2012

A general probabilistic model of the PCR process.

Nilanjan Saha1, Layne T Watson, Karen Kafadar

  • 1Dept. of Comput. Sci., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|February 3, 2007
PubMed
Summary

This study presents a probabilistic PCR model, detailing deoxynucleoside triphosphate (dNTP) binding kinetics. The model accurately predicts PCR yield and highlights sensitivity to initial dNTP concentrations and reaction rates.

More Related Videos

Development of a Quantitative Recombinase Polymerase Amplification Assay with an Internal Positive Control
08:37

Development of a Quantitative Recombinase Polymerase Amplification Assay with an Internal Positive Control

Published on: March 30, 2015

Protein Misfolding Cyclic Amplification of Prions
10:12

Protein Misfolding Cyclic Amplification of Prions

Published on: November 7, 2012

Related Experiment Videos

Last Updated: Jul 17, 2026

Polymerase Chain Reaction: Basic Protocol Plus Troubleshooting and Optimization Strategies
09:00

Polymerase Chain Reaction: Basic Protocol Plus Troubleshooting and Optimization Strategies

Published on: May 22, 2012

Development of a Quantitative Recombinase Polymerase Amplification Assay with an Internal Positive Control
08:37

Development of a Quantitative Recombinase Polymerase Amplification Assay with an Internal Positive Control

Published on: March 30, 2015

Protein Misfolding Cyclic Amplification of Prions
10:12

Protein Misfolding Cyclic Amplification of Prions

Published on: November 7, 2012

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Computational Biology

Background:

  • Polymerase Chain Reaction (PCR) is a fundamental technique for DNA amplification.
  • Existing models may not fully capture the probabilistic nature of PCR at the molecular level.
  • Understanding the kinetics of deoxynucleoside triphosphate (dNTP) binding is crucial for accurate PCR modeling.

Purpose of the Study:

  • To develop a general probabilistic model for the Polymerase Chain Reaction (PCR) process.
  • To derive the probability of deoxynucleoside triphosphate (dNTP) binding from microscopic chemical kinetics.
  • To quantitatively reproduce key features of PCR amplification and assess sensitivity to reaction parameters.

Main Methods:

  • Formulation of a general probabilistic model for PCR.
  • Derivation of dNTP-template binding probability from chemical kinetics.
  • Development of a recursive solution for single-cycle dNTP binding probability distribution.
  • Calculation of expected yield for multicycle PCR using the developed model.

Main Results:

  • The model successfully reproduces important quantitative features of the PCR amplification process.
  • The derived binding probability is based on microscopic chemical kinetics.
  • A recursive solution was developed for single-cycle dNTP binding probability.
  • Expected PCR yield was calculated for multicycle amplification.

Conclusions:

  • The general probabilistic model provides a quantitative framework for understanding PCR.
  • The PCR amplification process is highly sensitive to initial dNTP concentrations.
  • Reaction rates of dNTP addition to the template strand significantly influence PCR outcomes.