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Combinatorial Gene Control

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Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...

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Updated: Jun 17, 2026

Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors

Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors

Published on: September 20, 2016

A laboratory framework for ongoing optimization of amplification-based genomic surveillance programs.

Connie Lam^1,2, Jessica Johnson-Mackinnon^1,2, Kerri Basile^2,3

¹Centre for Infectious Diseases and Microbiology - Public Health, Institute for Clinical Pathology and Medical Research Westmead Hospital , Westmead, Australia.

Microbiology Spectrum

|November 15, 2023

Summary

This summary is machine-generated.

This study presents a laboratory framework for whole genome sequencing to improve public health surveillance during pandemics. It emphasizes continuous monitoring and method refinement for better outbreak response.

Keywords:

genomic surveillance public health viral sequencing whole genome sequencing

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Area of Science:

Genomic surveillance
Infectious disease epidemiology
Public health microbiology

Background:

Genomic sequencing is crucial for tracking pathogen evolution and transmission during outbreaks.
Maintaining the performance of genomic surveillance systems is vital for effective public health responses.
Existing surveillance methods may require adaptation to ensure relevance during prolonged health crises.

Purpose of the Study:

To establish a laboratory framework for assessing and enhancing whole genome sequencing (WGS) performance.
To ensure the continued relevance and accuracy of genomic surveillance systems.
To support robust public health responses during extended outbreaks and pandemics.

Main Methods:

Development of a systematic laboratory framework for performance evaluation.
Integration of regular reviews and monitoring of genomic surveillance system performance.
Identification and implementation of improvements for WGS methods.

Main Results:

The proposed framework provides a structured approach to maintain WGS performance.
It facilitates the ongoing assessment of genomic surveillance capabilities.
The framework supports the adaptive improvement of sequencing methodologies.

Conclusions:

A robust laboratory framework is essential for sustained, high-performance genomic surveillance.
Continuous monitoring and method optimization are key to strengthening public health responses to outbreaks.
This framework enhances the utility of WGS for pandemic preparedness and response.