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Lampbrush Chromosomes

Lampbrush Chromosomes

In 1882, Flemming observed lampbrush chromosomes (LBC) in salamander eggs. Later in 1892, Rückert observed LBCs in shark egg cells and coined the term "lampbrush chromosomes" because they looked like brushes used to clean kerosene lamps.
LBCs are made up of two pairs of conjugating homologous chromatids. Each chromatid consists of alternatively positioned regions of condensed-inactive chromatin and loosely placed-active side loops, which can be contracted and extended. The loops resemble the...

Lampbrush Chromosomes

Lampbrush Chromosomes

In 1882, Flemming observed lampbrush chromosomes (LBC) in salamander eggs. Later in 1892, Rückert observed LBCs in shark egg cells and coined the term "lampbrush chromosomes" because they looked like brushes used to clean kerosene lamps.
LBCs are made up of two pairs of conjugating homologous chromatids. Each chromatid consists of alternatively positioned regions of condensed-inactive chromatin and loosely placed-active side loops, which can be contracted and extended. The loops resemble the...

Chromosome Structure

Chromosome Structure

A functional eukaryotic chromosome must contain three elements: a centromere, telomeres, and numerous origins of replication.
The centromere is a DNA sequence that links sister chromatids. This is also where kinetochores, protein complexes to which spindle microtubules attach, are constructed after the chromosome is replicated. The kinetochores allow the spindle microtubules to move the chromosomes within the cell during cell division.
Telomeres consist of non-coding repetitive nucleotide...

Chromosome Structure

Chromosome Structure

A functional eukaryotic chromosome must contain three elements: a centromere, telomeres, and numerous origins of replication.
The centromere is a DNA sequence that links sister chromatids. This is also where kinetochores, protein complexes to which spindle microtubules attach, are constructed after the chromosome is replicated. The kinetochores allow the spindle microtubules to move the chromosomes within the cell during cell division.
Telomeres consist of non-coding repetitive nucleotide...

Karyotyping

Karyotyping

Karyotyping

Karyotyping

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Related Experiment Video

Updated: May 26, 2026

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

Chromosome visualization tool: a whole genome viewer.

Ethalinda K S Cannon¹, Steven B Cannon

¹Department of Genetics, Development, and Cell Biology, Iowa State University, Ames, IA 50011, USA.

International Journal of Plant Genomics

|January 6, 2012

Summary

This summary is machine-generated.

The chromosome visualization tool (CViT) generates whole-genome images from GFF3 data, aiding in tracking sequencing progress and visualizing genomic features across various coordinate systems.

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

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Published on: November 3, 2023

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Last Updated: May 26, 2026

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

Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

Visualizing genomic data is crucial for understanding chromosome structure and function.
Existing tools may lack flexibility in handling diverse coordinate systems or feature types.

Purpose of the Study:

To introduce the chromosome visualization tool (CViT), a Perl utility for efficient whole-genome feature visualization.
To provide a flexible platform for displaying genomic data across multiple chromosomal unit systems.

Main Methods:

CViT processes data in GFF3 format, representing chromosomes and their associated features.
The tool supports genetic (centimorgan), cytological (centiMcClintock), and DNA (base-pair) coordinate systems.
It generates images of features across the entire genome simultaneously.

Main Results:

CViT enables rapid image generation for whole-genome feature visualization.
The tool has been successfully applied to track genome sequencing progress, including gap analysis.
It facilitates the visualization of BLAST hits, map associations, repeat densities, syntenic regions, centromeres, and chromosome knobs.

Conclusions:

CViT offers a versatile solution for visualizing diverse genomic features and data types.
Its ability to handle multiple coordinate systems enhances its utility for various genomic analyses.
The tool supports critical applications in genome sequencing, comparative genomics, and cytogenetics.