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The Nucleolus

The Nucleolus

The nucleolus is the most prominent substructure of the nucleus. When it was first discovered, it was considered to be an isolated organelle that forms fibrils and granules. In 1931, the relationship between the nucleolus and chromosomes was first described by Heitz. He observed that the appearance and size of nucleolus varies depending on the stage of the cell cycle. He also noticed constricted regions on different chromosomes clustered together at definite cell cycle stages. These regions,...

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An Automated Method to Perform The In Vitro Micronucleus Assay using Multispectral Imaging Flow Cytometry

An Automated Method to Perform The In Vitro Micronucleus Assay using Multispectral Imaging Flow Cytometry

Published on: May 13, 2019

Transcriptomic network analysis of micronuclei-related genes: a case study.

D M van Leeuwen¹, M Pedersen, L E Knudsen

¹Department of Health Risk Analysis and Toxicology, Maastricht University, PO Box 616, 6200 MD, Maastricht, The Netherlands.

|December 18, 2010

Summary

Network analysis of transcriptomics data reveals key genes involved in micronuclei (MN) formation. This approach aids in understanding human responses to xenobiotic exposure and developing new screening assays.

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The Micronucleus Assay on Cryopreserved Whole Blood

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Last Updated: Jun 5, 2026

An Automated Method to Perform The In Vitro Micronucleus Assay using Multispectral Imaging Flow Cytometry

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Published on: May 13, 2019

The Micronucleus Assay on Cryopreserved Whole Blood

The Micronucleus Assay on Cryopreserved Whole Blood

Published on: February 23, 2024

Area of Science:

Toxicogenomics
Systems Biology
Molecular Epidemiology

Background:

Large-scale transcriptomics studies provide mechanistic insights into human responses to xenobiotic exposure.
Network analysis can enhance the analysis and visualization of complex biological data.
Micronuclei (MN) formation is a key indicator of chemically induced biological effects.

Purpose of the Study:

To develop a gene network related to MN formation using pathway analysis.
To test the developed network against transcriptomic data from air pollution-exposed populations.
To explore the potential of network analysis for developing novel reporter gene assays.

Main Methods:

Utilized MetaCore pathway analysis tool to construct a priori gene network for MN formation.
Incorporated 27 genes and three gene complexes related to cell cycle checkpoints and aneuploidy.
Applied the network to analyze transcriptomic data from children and adults exposed to ambient air pollution.

Main Results:

Identified six key genes (BAX, DMNT1, PCNA, HIC1, p21, CDC20) from the MN-related network in the case study.
Constructed a dedicated network using these six genes along with p53 and IL-6.
Visualized transcriptomic data from air pollution exposure onto the gene network.

Conclusions:

Network analysis of transcriptomics data is feasible for studying MN formation.
This approach offers novel mechanistic hypotheses by identifying regulated and influencing genes.
The developed network may support the creation of reporter gene assays for population screening.