Entamoeba moshkovskii
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA12920 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| NWBR01.dat.gz | Other | |||
| NWBR01.fasta.gz | Fasta.gz | |||
| NWBR01.master.dat | Other | |||
| SRR10085685_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 13 |
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Project description:A non-pathogenic amoeba closely related to Entamoeba histolytica.
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Project description:Little is known about the extent of genetic variability among Entamoeba strains and potential genotypic associations with virulence. Variable phenotypes have been identified for Entamoeba strains. E. histolytica is invasive and causes colitis and liver abscesses, but only in 10% of infected individuals; 90% of subjects remain asymptomatically colonized. E. dispar, a closely related species, appears to be incapable of causing invasive disease. In order to determine the extent of genetic diversity among Entamoeba strains we have developed an E. histolytica genomic DNA microarray and used it to genotype strains of E. dispar and E. histolytica. Based on the identification of divergent genetic loci, all six strains (four EH and two ED) had unique genetic fingerprints. Genomic regions with unusually high levels of divergence were identified indicating that structural or evolutionary pressures are molding selective regions of the Entamoeba genome. Comparison of divergent genetic regions allowed us to readily distinguish between EH and ED, identify novel genetic regions that may be used for strain and species typing, and identity a number of novel potential virulence determinants. Among these are Androgen Inducible Gene1, a CXXC receptor kinase, a peroxiredoxin 1-related gene, a Ras family member gene, a Rab geranylgeranyltransferase, and a gene with a UPF0034 domain. Among the four EH strains, an avirulent strain EH (Rahman) was the most divergent and phylogenetically distinct raising the intriguing possibility that genetic subtypes of E. histolytica may be at least partially responsible for the observed variability in clinical outcomes. Our approach shows the utility of a microarray-based genotyping assay to identify genetic variability between Entamoeba isolates and can readily be applied to the study of clinical isolates. A genotyping experiment design type classifies an individual or group of individuals on the basis of alleles, haplotypes, SNP's. Keywords: genotyping_design
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Project description:Entamoeba terrapinae is an amoeba that is a commensal organism in turtles
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Project description:Little is known about the extent of genetic variability among Entamoeba strains and potential genotypic associations with virulence. Variable phenotypes have been identified for Entamoeba strains. E. histolytica is invasive and causes colitis and liver abscesses, but only in 10% of infected individuals; 90% of subjects remain asymptomatically colonized. E. dispar, a closely related species, appears to be incapable of causing invasive disease. In order to determine the extent of genetic diversity among Entamoeba strains we have developed an E. histolytica genomic DNA microarray and used it to genotype strains of E. dispar and E. histolytica. Based on the identification of divergent genetic loci, all six strains (four EH and two ED) had unique genetic fingerprints. Genomic regions with unusually high levels of divergence were identified indicating that structural or evolutionary pressures are molding selective regions of the Entamoeba genome. Comparison of divergent genetic regions allowed us to readily distinguish between EH and ED, identify novel genetic regions that may be used for strain and species typing, and identity a number of novel potential virulence determinants. Among these are Androgen Inducible Gene1, a CXXC receptor kinase, a peroxiredoxin 1-related gene, a Ras family member gene, a Rab geranylgeranyltransferase, and a gene with a UPF0034 domain. Among the four EH strains, an avirulent strain EH (Rahman) was the most divergent and phylogenetically distinct raising the intriguing possibility that genetic subtypes of E. histolytica may be at least partially responsible for the observed variability in clinical outcomes. Our approach shows the utility of a microarray-based genotyping assay to identify genetic variability between Entamoeba isolates and can readily be applied to the study of clinical isolates.
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Project description:Little is known about the extent of genetic variability among Entamoeba strains and potential genotypic associations with virulence. Variable phenotypes have been identified for Entamoeba strains. E. histolytica is invasive and causes colitis and liver abscesses, but only in 10% of infected individuals; 90% of subjects remain asymptomatically colonized. E. dispar, a closely related species, appears to be incapable of causing invasive disease. In order to determine the extent of genetic diversity among Entamoeba strains we have developed an E. histolytica genomic DNA microarray and used it to genotype strains of E. dispar and E. histolytica. Based on the identification of divergent genetic loci, all six strains (four EH and two ED) had unique genetic fingerprints. Genomic regions with unusually high levels of divergence were identified indicating that structural or evolutionary pressures are molding selective regions of the Entamoeba genome. Comparison of divergent genetic regions allowed us to readily distinguish between EH and ED, identify novel genetic regions that may be used for strain and species typing, and identity a number of novel potential virulence determinants. Among these are Androgen Inducible Gene1, a CXXC receptor kinase, a peroxiredoxin 1-related gene, a Ras family member gene, a Rab geranylgeranyltransferase, and a gene with a UPF0034 domain. Among the four EH strains, an avirulent strain EH (Rahman) was the most divergent and phylogenetically distinct raising the intriguing possibility that genetic subtypes of E. histolytica may be at least partially responsible for the observed variability in clinical outcomes. Our approach shows the utility of a microarray-based genotyping assay to identify genetic variability between Entamoeba isolates and can readily be applied to the study of clinical isolates. A genotyping experiment design type classifies an individual or group of individuals on the basis of alleles, haplotypes, SNP's. User Defined
2005-08-26 | E-GEOD-3207 | biostudies-arrayexpress
Project description:Entamoeba histolytica is a protozoan parasite which causes colitis and liver abscesses. Using a genomic DNA microarray consisting of 1.6 - 2.0 kb genomic inserts we have generated a transcriptional profile of 1,971 unique parasite transcripts. The arrays in this experiment set were used to (1) estimate relative transcript abundance for Entamoeba histolytica (HM-1:IMSS) trophozoites in mid-logarithmic growth and (2) to examine changes in the transcriptional profile of Entamoeba histolytica when the parasite interacts with colonic epithelial cells (Caco-2). A time course was used such that RNA was isolated from ameba alone and ameba + Caco-2 cells at 3hrs, 6hrs and 9hrs corresponding to 10%, 50% and 90% cell monolayer destruction. At least two biological experiments and three replicates were used for each time point. Groups of assays that are related as part of a time series. Keywords: time_series_design
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Project description:Obligate symbiont of a free-living amoeba
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Project description:Entamoeba histolytica is a protozoan parasite which causes colitis and liver abscesses. Using a genomic DNA microarray consisting of 1.6 - 2.0 kb genomic inserts we have generated a transcriptional profile of 1,971 unique parasite transcripts. The arrays in this experiment set were used to (1) estimate relative transcript abundance for Entamoeba histolytica (HM-1:IMSS) trophozoites in mid-logarithmic growth and (2) to examine changes in the transcriptional profile of Entamoeba histolytica when the parasite interacts with colonic epithelial cells (Caco-2). A time course was used such that RNA was isolated from ameba alone and ameba + Caco-2 cells at 3hrs, 6hrs and 9hrs corresponding to 10%, 50% and 90% cell monolayer destruction. At least two biological experiments and three replicates were used for each time point. Groups of assays that are related as part of a time series. User Defined
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