Project description:Data from the VLA lyssavirus genotyping microarray. The array platform for this data is GEO accession GPL8066, and consists of 624 oligos representing two viral families. The data set itself consists of 14 arrays, 7 hybridised with RNA from mice brains infected with 7 genotypes of lyssaviruses, 1 hybridised with RNA from normal mouse brain, and 6 hybridised with RNA from coded samples consisting of infected mouse brains or control mouse brains. Keywords: Lyssavirus genotyping microarray
Project description:Maternal stress has long been associated with lower birthweight but mechanisms remain elusive. This study explored how maternal stress may impact changes in gene expression within a cohort of mother-placenta-newborn triads in the eastern Democratic Republic of Congo We used microarrays to detail the global programme of gene expression underlying the impact of maternal stress on newborn birthweight and identified that global placental gene expression may partially mediate the negative impact of maternal war stress on newborn birthweight.
Project description:Data from the VLA lyssavirus genotyping microarray. The array platform for this data is GEO accession GPL8066, and consists of 624 oligos representing two viral families. The data set itself consists of 14 arrays, 7 hybridised with RNA from mice brains infected with 7 genotypes of lyssaviruses, 1 hybridised with RNA from normal mouse brain, and 6 hybridised with RNA from coded samples consisting of infected mouse brains or control mouse brains. Keywords: Lyssavirus genotyping microarray Data from the VLA lyssavirus genotyping microarray. The array platform for this data is GEO accession GPL8066, and consists of 624 oligos representing two viral families. The data set itself consists of 14 arrays, 7 hybridised with RNA from mice brains infected with 7 genotypes of lyssaviruses, 1 hybridised with RNA from normal mouse brain, and 6 hybridised with RNA from coded samples consisting of infected mouse brains or control mouse brains. Statistical analysis of the data was done with DetectiV software (Watson et al., 2007). The median and array methods of normalization were used in the statistical analysis of the results. In the median method, DetectiV software calculates the mean fluorescence for each set of probes and normalised against background fluorescence of all probes, assuming that most probes are not hybridized. The array method utilizes an entire control array, e.g. RNA from a known uninfected animal, as the negative control and all probe values are divided by their respective elements from the control array.
Project description:The purpose of this experiment was to obtain samples for mRNA analysis in IHH cells infected with Zaire Ebola virus and mutants: Zaire Ebola virus: This wild-type Ebola virus - strain Mayinga - was isolated from a fatal human case in Zaire (now known as the Democratic Republic of Congo) in 1976 Zaire Ebola virus, VP35 R312A possesses a R312A mutation in the VP35 protein. Zaire Ebola virus, delta sGP. Lacks the ability to produce non-structural protein, the secreted glycoprotein (sGP). Zaire Ebola virus, delta mucin. Lacks the mucin-like domain (MLD), which contains both N-linked and O-linked glycosylation sites, for the glycoproteins.
Project description:The purpose of this experiment was to obtain samples for mRNA analysis in IHH cells infected with Zaire Ebola virus and mutants: Zaire Ebola virus: This wild-type Ebola virus - strain Mayinga - was isolated from a fatal human case in Zaire (now known as the Democratic Republic of Congo) in 1976 Zaire Ebola virus, VP35 R312A possesses a R312A mutation in the VP35 protein. Zaire Ebola virus, delta sGP. Lacks the ability to produce non-structural protein, the secreted glycoprotein (sGP). Zaire Ebola virus, delta mucin. Lacks the mucin-like domain (MLD), which contains both N-linked and O-linked glycosylation sites, for the glycoproteins.
2015-06-18 | GSE69942 | GEO
Project description:Plasmodium vivax in the Democratic Republic of the Congo
Project description:Genome-wide DNA methylation profiling of venous blood samples from children in the Eastern Democratic Republic of Congo from birth to age three. DNA methylation data were noob normalized and uploaded to Steve Horvath's epigenetic age calculator website to calculate Horvath epigenetic age acceleration for each participant at each timepoint for which they had data available. Replicates were averaged and a single outlier at birth was removed as described in the manuscript, leaving 155 observations from 67 unique individuals. Sample size at each timepoint was as follows: n = 64 at birth, n = 8 at six months, n= 35 at one year, n = 32 at two years, and n = 16 at three years.