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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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Most animal cells comprise a pair of centrioles together called a centrosome. The cell duplicates its centrosome and contains two centrosomes side-by-side, which begin to move apart during the prophase. As the centrosomes migrate to two different sides of the cell, microtubules start extending from each centrosome toward the other end. The mitotic spindle is composed of the centrosomes and their emerging microtubules.
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Related Experiment Video

Updated: May 14, 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, USA.

|April 11, 2025

Summary

This summary is machine-generated.

Researchers developed new quantitative methods to analyze centromere clustering in human cells. Ripley

Keywords:

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

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Last Updated: May 14, 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

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Published on: December 20, 2014

Area of Science:

Cell Biology
Genetics
Biophysics

Background:

Centromeres are crucial for chromosome segregation during cell division.
Centromeres exhibit non-random, cell-type-specific positioning within the nucleus.
The functional significance and mechanisms of centromere localization remain unclear.

Purpose of the Study:

To develop quantitative methods for analyzing centromere distribution in 3D nuclear space.
To identify robust metrics for measuring centromere clustering.
To develop spatial models that accurately represent centromere patterns.

Main Methods:

Benchmarking six clustering metrics using high-throughput imaging data of human cells.
Applying Ripley's K function to quantify centromere distribution patterns.
Developing and validating spatial models, including radially shifted Gaussian distributions.

Main Results:

Ripley's K function demonstrated high accuracy and robustness for measuring centromere distributions.
A radially shifted Gaussian distribution effectively models human cell centromere patterns.
The developed analytical framework enables quantitative characterization of centromere organization.

Conclusions:

The study provides validated quantitative tools for analyzing centromere spatial distribution.
These methods are applicable to targeted studies and unbiased screening of centromere organization.
Understanding centromere positioning is essential for comprehending chromosome segregation fidelity.