Project description:This series includes a 32-array training dataset used to evaluate E-Predict normalization and similarity metric parameters as well as 13 microarrays used as examples in (Urisman, et. al 2005). Training data set includes 15 independent HeLa RNAhybridizations (microarrays 1-15), 10 independent nasal lavage samples positive for Respiratory Syncytial virus (microarrays 16-25), and 7 independent nasal lavage samples positive for Influenza A virus (microarrays 26-32). Examples iclude a serum sample positive for Hepatitis B virus (microarray 33), a nasal lavage sample positive for both Influenza A virus and Respiratory Syncytial virus (microarray 34), and culture samples of 11 distinct Human Rhinovirus serotypes (microarrays 35-45). Keywords = virus detection, E-Predict, species identification, metagenomics Keywords: other
Project description:Monitoring microbial communities can aid in understanding the state of these habitats. Environmental DNA (eDNA) techniques provide efficient and comprehensive monitoring by capturing broader diversity. Besides structural profiling, eDNA methods allow the study of functional profiles, encompassing the genes within the microbial community. In this study, three methodologies were compared for functional profiling of microbial communities in estuarine and coastal sites in the Bay of Biscay. The methodologies included inference from 16S metabarcoding data using Tax4Fun, GeoChip microarrays, and shotgun metagenomics.
Project description:This series includes a 32-array training dataset used to evaluate E-Predict normalization and similarity metric parameters as well as 13 microarrays used as examples in (Urisman, et. al 2005). Training data set includes 15 independent HeLa RNAhybridizations (microarrays 1-15), 10 independent nasal lavage samples positive for Respiratory Syncytial virus (microarrays 16-25), and 7 independent nasal lavage samples positive for Influenza A virus (microarrays 26-32). Examples iclude a serum sample positive for Hepatitis B virus (microarray 33), a nasal lavage sample positive for both Influenza A virus and Respiratory Syncytial virus (microarray 34), and culture samples of 11 distinct Human Rhinovirus serotypes (microarrays 35-45). Keywords = virus detection, E-Predict, species identification, metagenomics
Project description:In this study we used vascular specific promoters and a translating ribosome affinity purification strategy to identify phloem-associated translatome responses to infection by tobacco mosaic virus (TMV) in the systemic host Nicotiana benthamiana. Three different promoter:FLAG-RPL18 lines were used. These included two phloem specific promoters (pSUC2 and pSULTR2;2) as well as the more ubiquitously expressed cauliflower mosaic virus 35S promoter (p35S). Immunopurification of ribosome-mRNA complexes was accomplished by the method described in Reynoso et al. (Plant Functional Genomics: Methods and Protocols, 185-207; 2015). The dataset includes samples from the leaves of 5-week-old plants inoculated with TMV (1 mg/mL) or mock inoculated with sterile water.
Project description:In this study we used vascular specific promoters and a translating ribosome affinity purification strategy to identify phloem-associated translatome responses to infection by tobacco mosaic virus (TMV) in the systemic host Arabidopsis thaliana ecotype Shahdara. Three different promoter:FLAG-RPL18 lines were used. These included two phloem specific promoters (pSUC2 and pSULTR2;2) as well as the more ubiquitously expressed cauliflower mosaic virus 35S promoter (p35S). Immunopurification of ribosome-mRNA complexes was accomplished by the method described in Reynoso et al. (Plant Functional Genomics: Methods and Protocols, 185-207; 2015). The dataset includes samples from the leaves of 5-week-old plants inoculated with TMV (1 mg/mL) or mock inoculated with sterile water.