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Related Experiment Video

Updated: Oct 24, 2025

Generation of Genetically Modified Mice through the Microinjection of Oocytes

Generation of Genetically Modified Mice through the Microinjection of Oocytes

Published on: June 15, 2017

A genetic intervention.

Colin Sutherland¹, Didier Menard^2,3

¹Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.

|August 12, 2021

Summary

This summary is machine-generated.

A new genomic tool aids in understanding drug-resistant malaria parasites in patients. This analysis can guide public health policies to combat rising resistance effectively.

Keywords:

Asia P. falciparum drug resistance epidemiology genetic surveillance global health infectious disease malaria microbiology

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Last Updated: Oct 24, 2025

Generation of Genetically Modified Mice through the Microinjection of Oocytes

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Published on: June 15, 2017

Genome Editing and Directed Differentiation of hPSCs for Interrogating Lineage Determinants in Human Pancreatic Development

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Generation of Defined Genomic Modifications Using CRISPR-CAS9 in Human Pluripotent Stem Cells

Generation of Defined Genomic Modifications Using CRISPR-CAS9 in Human Pluripotent Stem Cells

Published on: September 25, 2019

Area of Science:

Genomics
Parasitology
Public Health

Background:

Malaria remains a significant global health challenge.
The emergence of drug-resistant malaria parasites poses a serious threat to disease control efforts.

Purpose of the Study:

To introduce a novel genomic analysis tool for malaria parasites.
To support evidence-based policy decisions for combating drug resistance.

Main Methods:

Genome sequencing of malaria parasites from patient blood samples.
Bioinformatic analysis to identify genetic markers of drug resistance.

Main Results:

The tool successfully analyzes parasite genomes.
Identified genetic patterns associated with resistance to antimalarial drugs.

Conclusions:

Genomic analysis of malaria parasites is crucial for tracking and managing drug resistance.
This tool can inform targeted interventions and policy development.