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Histone Variants at the Centromere

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Histone variants are the histone proteins with structural and sequence variations. These variants may be regarded as “mutant” forms that replace their canonical histone counterparts in the nucleosomes. Specific post-translational modifications on the histone variants enable further chromatin complexity and regulate tissue-specific gene expression. The most common histone variants are from histone H2A, H2B, and linker histone H1 families. However, several variants of histone H3...

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Related Experiment Video

Updated: May 29, 2025

Immunofluorescence Analysis of Endogenous and Exogenous Centromere-kinetochore Proteins

Immunofluorescence Analysis of Endogenous and Exogenous Centromere-kinetochore Proteins

Published on: March 3, 2016

Simulation and quantitative analysis of spatial centromere distribution patterns.

Adib Keikhosravi¹, Krishnendu Guin², Gianluca Pegoraro¹

¹High Throughput Imaging Facility (HiTIF), National Cancer Institute, NIH, Bethesda, MD 20892.

Biorxiv : the Preprint Server for Biology

|February 3, 2025

Summary

This summary is machine-generated.

Researchers developed a new quantitative framework to analyze centromere distribution in 3D nuclear space. Ripley's K Score proved most effective for measuring centromere clustering, aiding cell division studies.

Keywords:

Ripley’s K centromere clustering clustering metrics image analysis genome organization spatial distribution

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Last Updated: May 29, 2025

Immunofluorescence Analysis of Endogenous and Exogenous Centromere-kinetochore Proteins

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Published on: March 3, 2016

Imaging Centrosomes in Fly Testes

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Published on: September 20, 2013

Quantitative Immunofluorescence Assay to Measure the Variation in Protein Levels at Centrosomes

Quantitative Immunofluorescence Assay to Measure the Variation in Protein Levels at Centrosomes

Published on: December 20, 2014

Area of Science:

Cell Biology
Genetics
Biophysics

Background:

Centromeres, crucial for chromosome segregation, exhibit non-random, cell-type-specific positioning within the nucleus during interphase.
The functional significance and underlying mechanisms of this spatial organization remain largely unknown.
Quantitative methods are needed to accurately measure and analyze centromere distribution patterns in three-dimensional (3D) nuclear space.

Purpose of the Study:

To develop and validate a quantitative analytical framework for assessing centromere distribution at the single-cell level.
To identify robust metrics for measuring centromere clustering and spatial patterns.
To establish spatial models that accurately represent observed centromere distributions in human cells.

Main Methods:

Benchmarking of six clustering metrics using high-throughput imaging data from human cells.
Evaluation of metric sensitivity to changes in centromere distribution under normal and perturbed conditions.
Development and validation of spatial distribution models, including Gaussian distributions.

Main Results:

Ripley's K Score demonstrated the highest accuracy and minimal sensitivity to variations in centromere number, identifying it as the optimal metric.
A radially shifted Gaussian distribution was found to be the best model for replicating observed centromere patterns in human cells.
The developed analytical framework provides tools for quantitative characterization of spatial centromere distributions.

Conclusions:

The study presents a robust quantitative framework for analyzing centromere spatial organization in 3D nuclear space.
Ripley's K Score is recommended for accurate measurement of centromere clustering and distribution.
The findings facilitate targeted studies and unbiased screening approaches for centromere organization and function.