Dataset Information

Host cell transcripts during malaria liver stage infection reveals a coordinated and sequential set of biological events

ABSTRACT: After entering their mammalian host via the bite of an Anopheles mosquito, Plasmodium sporozoites migrate to the liver where they traverse several hepatocytes before invading the one inside which they will develop and multiply into thousands of merozoites. Although this constitutes an essential step in malaria infection, the requirements of Plasmodium parasites in liver cells and how they use the host cell for their own survival and development are poorly understood. To gain new insights into the molecular host-parasite interactions that take place during malaria liver infection, we have used high-throughput microarray technology to determine the transcriptional profile of P. yoelii-infected hepatocytes that were collected from P. yoelii-infected mice 24 and 40 h after infection. This in vivo microarray expression was compared with the microarray analysis of in vitro infected hepatoma cells infected with closely related rodent malaria parasite P. berghei. Differential expression patterns for host genes identify genes and pathways involved in the host response to rodent Plasmodium parasites. Keywords: gene expression

ORGANISM(S): Mus musculus Plasmodium yoelii

PROVIDER: GSE14967 | GEO | 2010/02/24

SECONDARY ACCESSION(S): PRJNA111859

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:After entering their mammalian host via the bite of an Anopheles mosquito, Plasmodium sporozoites migrate to the liver where they traverse several hepatocytes before invading the one inside which they will develop and multiply into thousands of merozoites. Although this constitutes an essential step in malaria infection, the requirements of Plasmodium parasites in liver cells and how they use the host cell for their own survival and development are poorly understood. To gain new insights into the molecular host-parasite interactions that take place during malaria liver infection, we have used high-throughput microarray technology to determine the transcriptional profile of P. yoelii-infected hepatocytes that were collected from P. yoelii-infected mice 24 and 40 h after infection. This in vivo microarray expression was compared with the microarray analysis of in vitro infected hepatoma cells infected with closely related rodent malaria parasite P. berghei. Differential expression patterns for host genes identify genes and pathways involved in the host response to rodent Plasmodium parasites. Keywords: gene expression Total RNA from sorted liver stage (LS) infected hepatocytes were isolated from PyGFP-infected BALB/c mice as described in Tarun et al (2008). RNA from LS-infected hepatocytes were isolated at two time points post-infection (pi): 24 hr pi (LS24) and 40 hr pi (LS40). As control, RNA from hepatocytes isolated from mock-infected mice (infected with salivary gland extract) at the same time points was also isolated following the same procedure. Total RNA was then subjected to two rounds of linear amplification using the Amino Allyl Message Amp II aRNA Amplification Kit (Ambion) according to manufaturerâs directions. The quality of total and amplified RNAs were examined with the Agilent 2100 BioanalyzerTM (Agilent Technologies) and the quantity of the RNA samples was assessed using a Nanodrop ND-1000 spectrophotometer prior to microarray hybridization. For each timepoint two independent biological replicates were obtained.

Project description:The study of rodent malaria parasites has significantly advanced our understanding of malaria parasite biology and host responses to parasite infections. There are four well-characterized rodent malaria parasite species (Plasmodium yoelii, P. chabaudi, P. berghei, and P. vinckei). Each species also has multiple strains that cause different disease phenotypes. P. yoelii nigeriensis N67C and N67, two isogenic parasites, are particularly intriguing as they differ in virulence and incite different immune responses in mice. The genome of the N67 parasite has been assembled recently, but not that of N67C. This study used PacBio HiFi sequencing data to assemble the N67C genome, compared the two genomes, and performed RNA sequencing to identify polymorphisms and differentially expressed genes (DEGs). Results: The assembled N67C parasite genome consisted of 16 scaffolds and three contigs of approximately 22.5 Mb with 100% and 96.6% completeness based on well-characterized single-copy orthologs specific to the Apicomplexa phylum and the Plasmodium genus, respectively. A comparison between the annotated N67C and N67 genomes revealed 133 single nucleotide polymorphisms (SNPs) and 75 indels. Among the polymorphic sites, an S (N67) to N (N67C) amino acid substitution at position 114 (S114N) in the dihydrofolate reductase-thymidylate synthase (DHFR-TS) confers resistance to pyrimethamine in mice. Additionally, 302 differentially expressed genes (DEGs) were detected after comparing mRNA levels between the two parasites. Starting with the predicted and annotated 5,681 N67C and 5,749 N67 genes, we identified 4,641 orthogroups that included at least one gene from the four P. yoelii parasites (N67, N67C, 17X, and YM), whereas 758 orthogroups showed subspecies or strain-specific patterns. Conclusion: The identification of polymorphic sites between the N67 and N67C genomes, along with the detection of the DEGs, may provide crucial insights into the variations in parasite drug responses and disease severity between these two isogenic parasites. The functional characterization of these genetic differences and candidate genes will deepen our understanding of disease mechanisms and pave the way for developing more effective control measures against malaria.

Dataset Information

Host cell transcripts during malaria liver stage infection reveals a coordinated and sequential set of biological events

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets