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

Genome-wide Association Studies-GWAS

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...

Evolutionary Relationships through Genome Comparisons

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...

Karyotyping

Karyotyping

You might also read

Related Articles

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

Sort by

Same author

Erratum: Bacterial Turbulence at Compressible Fluid Interfaces [Phys. Rev. Lett. 136, 138301 (2026)].

Physical review letters·2026

Same author

Heavy Water Remodels the DNA Energy Landscape to Stabilize Folded States and Slow Transitions.

ACS physical chemistry Au·2026

Same author

Obesity-induced oleic acid metabolic dysregulation may exacerbate osteoarthritis through the degradation of SOX9.

Cellular and molecular life sciences : CMLS·2026

Same author

Bacterial Turbulence at Compressible Fluid Interfaces.

Physical review letters·2026

Same author

Long-term functional recovery and prognostic determinants of spinal cord ischemia post-thoracoabdominal aortic aneurysm repair: a population-based cohort study.

Frontiers in neurology·2026

Same author

Molecular insights into the regulation of GNPTαβ by LYSET.

Nature communications·2026

Search research articles

Related Experiment Video

Updated: Aug 27, 2025

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Published on: May 6, 2010

Dissecting the cosegregation probability from genome architecture mapping.

Lei Liu¹, Xinmeng Cao¹, Bokai Zhang²

¹Key Laboratory of Optical Field Manipulation of Zhejiang Province, Department of Physics, Zhejiang Sci-Tech University, Hangzhou, China.

Biophysical Journal

|September 23, 2022

Summary

This summary is machine-generated.

Genome Architecture Mapping (GAM) reveals 3D chromatin organization by analyzing nuclear profiles. A normalized GAM probability, using over 1000 nuclear slices, strongly correlates with interlocus distance, improving 3D genome structure analysis.

More Related Videos

Mapping Mammalian 3D Genome Interactions with Micro-C-XL

Mapping Mammalian 3D Genome Interactions with Micro-C-XL

Published on: November 3, 2023

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis

Published on: August 12, 2019

Related Experiment Videos

Last Updated: Aug 27, 2025

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Published on: May 6, 2010

Mapping Mammalian 3D Genome Interactions with Micro-C-XL

Mapping Mammalian 3D Genome Interactions with Micro-C-XL

Published on: November 3, 2023

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis

Published on: August 12, 2019

Area of Science:

Genomics
Molecular Biology
Biophysics

Background:

Genome Architecture Mapping (GAM) is a novel technique for studying 3D chromatin organization using nuclear profiles.
GAM's cosegregation probability differs from Hi-C contact probability and shows weaker correlation with interlocus distances.

Purpose of the Study:

To theoretically derive and quantitatively analyze the differences between GAM cosegregation probability and Hi-C contact probability.
To establish conditions for improving GAM's correlation with interlocus distances.

Main Methods:

Utilized a polymer-based chromatin model to derive theoretical expressions for cosegregation and contact probabilities.
Performed in silico GAM analysis on 3D genome structures obtained from fluorescence in situ hybridization (FISH).

Main Results:

Derived theoretical expressions for both cosegregation and contact probabilities, highlighting their distinct characteristics.
Demonstrated that a normalized GAM cosegregation probability, calculated from a large number of nuclear slices (n>10^3), shows a strong correlation with interlocus distances.

Conclusions:

The study provides a theoretical framework for understanding GAM and Hi-C data.
Normalization and sufficient sampling (n>10^3) are crucial for enhancing the accuracy of GAM in reflecting 3D genome architecture and interlocus distances.