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Updated: Jun 2, 2026

A Multi-detection Assay for Malaria Transmitting Mosquitoes

A Multi-detection Assay for Malaria Transmitting Mosquitoes

Published on: February 28, 2015

Multiple target loci assembly sequencing (mTAS).

Hyojun Han¹, Jung-Ki Yoon, Byoung Chul Cho

¹Department of Chemistry, Yonsei University, Shinchon 134, Seoul 120-749, Republic of Korea.

Analytical Biochemistry

|May 4, 2011

Summary

This summary is machine-generated.

We developed multiple target loci assembly sequencing (mTAS) to analyze several genomic locations in one DNA sequencing run. This method uniformly amplifies target loci, reducing costs for genetic analysis.

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Genotyping Single Nucleotide Polymorphisms in the Mitochondrial Genome by Pyrosequencing

Genotyping Single Nucleotide Polymorphisms in the Mitochondrial Genome by Pyrosequencing

Published on: February 10, 2023

Area of Science:

Genomics
Molecular Biology
Biotechnology

Background:

Genetic analysis often involves examining multiple specific DNA regions.
Current methods can be costly and time-consuming when analyzing numerous genomic loci.

Purpose of the Study:

To introduce a novel method, multiple target loci assembly sequencing (mTAS), for efficient analysis of multiple genomic sites.
To demonstrate the utility of mTAS in collecting sequence information from various human genomic loci.

Main Methods:

mTAS utilizes polymerase cycling assembly (PCA) for uniform amplification of multiple target genomic loci into a single DNA fragment.
The method enables the collection of multiloci sequence information from a single DNA sequencing run.

Main Results:

mTAS successfully generated sequence data from multiple genomic loci in a single run.
The method was applied to analyze 29 sets of human genomic loci, each containing 2-11 single-nucleotide polymorphisms (SNPs) across different exons.

Conclusions:

mTAS provides a viable strategy for examining multiple genomic loci simultaneously.
This approach has the potential to significantly reduce the cost of Sanger sequencing-based genetic analyses.