Simple jQuery Dropdowns
Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/33505
Title: Single-cell genomics for dissection of complex malaria infections
Authors: Shalini Nair
Standwell C. Nkhoma
David Serre
Peter A. Zimmerman
Karla Gorena
Benjamin J. Daniel
Francxois Nosten
Timothy J.C. Anderson
Ian H. Cheeseman
Texas Biomedical Research Institute
Malawi-Liverpool-Wellcome Trust Clinical Research Programme
Cleveland Clinic Foundation
Case Western Reserve University
University of Texas Health Science Center at San Antonio
Mahidol University
Nuffield Department of Clinical Medicine
Keywords: Biochemistry, Genetics and Molecular Biology;Medicine
Issue Date: 1-Jan-2014
Citation: Genome Research. Vol.24, No.6 (2014), 1028-1038
Abstract: Most malaria infections contain complex mixtures of distinct parasite lineages. These multiple-genotype infections (MGIs) impact virulence evolution, drug resistance, intra-host dynamics, and recombination, but are poorly understood. To address this we have developed a single-cell genomics approach to dissect MGIs. By combining cell sorting and whole-genome amplification (WGA), we are able to generate high-quality material from parasite-infected red blood cells (RBCs) for genotyping and next-generation sequencing. We optimized our approach through analysis of >260 single-cell assays. To quantify accuracy, we decomposed mixtures of known parasite genotypes and obtained highly accurate (>99%) single-cell genotypes. We applied this validated approach directly to infections of two major malaria species, Plasmodium falciparum, for which long term culture is possible, and Plasmodium vivax, for which no long-term culture is feasible. We demonstrate that our single-cell genomics approach can be used to generate parasite genome sequences directly from patient blood in order to unravel the complexity of P. vivax and P. falciparum infections. These methods open the door for large-scale analysis of within-host variation of malaria infections, and reveal information on relatedness and drug resistance haplotypes that is inaccessible through conventional sequencing of infections. © 2014 Nair et al.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84901833907&origin=inward
http://repository.li.mahidol.ac.th/dspace/handle/123456789/33505
ISSN: 15495469
10889051
Appears in Collections:Scopus 2011-2015

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.