Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Immunoprecipitation

Immunoprecipitation

Immunoprecipitation, or IP, is a widely used technique that employs protein-antibody interactions to isolate proteins or protein complexes in their native state for studying protein-protein interactions, quaternary structures, or supramolecular complexes. Various modifications of the technique, including chromatin IP, cross-linking IP, and fluorescence IP, are commonly used.
Chromatin Immunoprecipitation
Chromatin immunoprecipitation, also known as ChIP, is used to study protein-DNA or...

You might also read

Related Articles

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

Sort by

Same author

Optimization of Process Parameters of Rhamnolipid Treatment of Oily Sludge Based on Response Surface Methodology.

ACS omega·2020

Same author

Safety and Long-term Scleral Biomechanical Stability of Rhesus Eyes after Scleral Cross-linking by Blue Light.

Current eye research·2020

Same author

Serum pentraxin 3 as a biomarker for prognosis of acute minor stroke due to large artery atherosclerosis.

Brain and behavior·2020

Same author

The roles of adenosine deaminase in autoimmune diseases.

Autoimmunity reviews·2020

Same author

The role of oxidative stress in association between disinfection by-products exposure and semen quality: A mediation analysis among men from an infertility clinic.

Chemosphere·2020

Same author

Establishment of immune prognostic signature and analysis of prospective molecular mechanisms in childhood osteosarcoma patients.

Medicine·2020

Same journal

Maximizing molecular coverage in ultrahigh-resolution orbitrap analysis of marine dissolved organic matter using two-stage design-of-experiments strategy.

Talanta·2026

Same journal

A new HPLC-ICP-MS method for gadolinium speciation in freshwaters using ion exchange chromatography and aqueous mobile phases.

Talanta·2026

Same journal

Selective voltammetric determination of labile copper in unpretreated wine samples using a synthetic fungal-mimicking biointerface.

Talanta·2026

Same journal

Dual-engine amplification: Integrating catalytic hairpin assembly with CRISPR-Cas12a for ultrasensitive point-of-care testing of Chikungunya virus RNA.

Talanta·2026

Same journal

An ECL immunosensor based on the synergistic self-enhancement of CuCoFe-LDH with Luminol-PEI for ultrasensitive detection of AFP.

Talanta·2026

Same journal

Tailoring amine-rich porous monolith for the miniaturized solid phase extraction of phenolic environmental estrogens.

Talanta·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 24, 2025

A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes

A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes

Published on: March 25, 2014

Deciphering immunodiffusion: In silico optimization for faster protein diagnostics.

Chong Liu¹, Simon Corrie², Klaus Regenauer-Lieb³

¹Department of Civil Engineering, The University of Hong Kong, Hong Kong, China.

|June 13, 2024

Summary

This summary is machine-generated.

Finite element simulations reveal how antigen and antibody concentrations and diffusivities affect immunodiffusion assay performance. This enables faster protein diagnostics by optimizing assay parameters.

Keywords:

Immunodiffusion Precipitin complex Precipitin ring Reaction-diffusion systems

More Related Videos

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

Published on: December 1, 2020

An Optimized Quantitative Pull-Down Analysis of RNA-Binding Proteins Using Short Biotinylated RNA

An Optimized Quantitative Pull-Down Analysis of RNA-Binding Proteins Using Short Biotinylated RNA

Published on: February 17, 2023

Related Experiment Videos

Last Updated: Jun 24, 2025

A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes

A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes

Published on: March 25, 2014

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

Published on: December 1, 2020

An Optimized Quantitative Pull-Down Analysis of RNA-Binding Proteins Using Short Biotinylated RNA

An Optimized Quantitative Pull-Down Analysis of RNA-Binding Proteins Using Short Biotinylated RNA

Published on: February 17, 2023

Area of Science:

Biochemistry
Computational Biology
Immunology

Background:

Immunodiffusion tests are valuable for protein antigen detection but suffer from long assay times, limiting clinical application.
Understanding the factors influencing precipitin ring formation is crucial for improving assay efficiency.

Purpose of the Study:

To investigate the key parameters governing immunodiffusion assay kinetics using computational modeling.
To develop a framework for optimizing immunodiffusion assays to reduce assay times for clinical diagnostics.

Main Methods:

Utilized finite element simulations to model the diffusion and interaction of antigens and antibodies.
Validated the computational model against experimental data from real-world immunodiffusion tests.
Employed phase diagram analysis to map parameter effects on precipitin ring characteristics.

Main Results:

Elucidated the influence of initial antigen and antibody concentrations and diffusivities on precipitin ring intensity, size, and formation time.
Demonstrated the capability of the model for rapid in silico estimation of assay parameters.
Identified optimal parameter combinations for enhanced assay performance.

Conclusions:

Finite element simulations provide a powerful tool for understanding and optimizing immunodiffusion assays.
The developed framework facilitates the design of novel immunodiffusion assays with significantly reduced assay times.
This approach has the potential to revolutionize protein diagnostics, enabling faster and more reliable results.