Project description:Time-course transcriptional profiling of rice leaf in the field in 2009. This experiment was performed to validate the results of field transcriptomic modeling. Using 461 field transcriptome data obtained in 2008 (GSE36040; GSE36042; GSE36043; GSE36044; GSE18685) and the corresponding meteorologicla dara, we perfomred statistical modeling of transcriptome.
Project description:Single-cell mRNA sequencing (scRNA-seq) technologies are reshaping the current cell-type classification system. In previous studies, we built the mouse cell atlas (MCA) and human cell landscape (HCL) to catalog all cell types by collecting scRNA-seq data. However, systematically study for zebrafish (Danio rerio), fruit fly (Drosophila melanogaster) and earthworm (Eisenia andrei) are still lacking. Here, we construct the zebrafish, Drosophila and earthworm cell atlas with Microwell-seq protocols, which provides valuable resources for characterization of diverse cell populations of zebrafish, Drosophila and earthworm, and studying difference between vertebrates and Invertebrates at single cell level.
Project description:To understand molecular mechanisms of the chronic, sublethal toxicity of 2,4,6-trinitrotoluene (TNT), a widely used ordnance compound of public concerns, we constructed a microarray consisting of 4,032 cDNA isolated from the earthworm Eisenia fetida using the suppressive subtractive hybridization technique. Worms were exposed to a gradient of TNT-spiked soil for 28 days. Based on the reproduction response to TNT, four treatments, i.e., control, 7, 35 and 139 ppm, were selected for gene expression studies. Keywords: Sublethal toxicity of TNT (dose-response) to earthworm (Eisenia fetida)
Project description:We have previously demonstrated statistical modeling of gene expression under various environmental factors using field transcriptome data obtained from samples grown in a paddy field at Tsukuba, Japan. In this series of experiments, we would like to improve the models for practical use. In order to do that, we have done field transcriptome assay in seven paddy fields at different sites in Japan (or, Sappro, Furukawa, Toyama, Tsukuba, Takatsuki, Furukawa, and Fukuoka). This data is from one of the places, Fukuyama. Time-course transcriptional profiling of rice leaf in Fukuyama field in 2014. This experiment was performed to analyze the dynamics of field transcriptome data.
Project description:We have previously demonstrated statistical modeling of gene expression under various environmental factors using field transcriptome data obtained from samples grown in a paddy field at Tsukuba, Japan. In this series of experiments, we would like to improve the models for practical use. In order to do that, we have done field transcriptome assay in seven paddy fields at different sites in Japan (or, Sappro, Furukawa, Toyama, Tsukuba, Takatsuki, Furukawa, and Fukuoka). This data is from one of the places, Fukuoka. Time-course transcriptional profiling of rice leaf in Fukuoka field in 2014. This experiment was performed to analyze the dynamics of field transcriptome data.
Project description:We have previously demonstrated statistical modeling of gene expression under various environmental factors using field transcriptome data obtained from samples grown in a paddy field at Tsukuba, Japan. In this series of experiments, we would like to improve the models for practical use. In order to do that, we have done field transcriptome assay in seven paddy fields at different sites in Japan (or, Sappro, Furukawa, Toyama, Tsukuba, Takatsuki, Furukawa, and Fukuoka). This data is from one of the places, Tsukuba. Time-course transcriptional profiling of rice leaf in Tsukuba field in 2013. This experiment was performed to analyze the dynamics of field transcriptome data.
Project description:We have previously demonstrated statistical modeling of gene expression under various environmental factors using field transcriptome data obtained from samples grown in a paddy field at Tsukuba, Japan. In this series of experiments, we would like to improve the models for practical use. In order to do that, we have done field transcriptome assay in seven paddy fields at different sites in Japan (or, Sappro, Furukawa, Toyama, Tsukuba, Takatsuki, Furukawa, and Fukuoka). This data is from one of the places, Toyama. Time-course transcriptional profiling of rice leaf in Toyama field in 2013. This experiment was performed to analyze the dynamics of field transcriptome data.
Project description:Time-course transcriptional profiling of rice leaf in Takatsuki field in 2013. This experiment was performed to analyze the dynamics of field transcriptome data. We have previously demonstrated statistical modeling of gene expression under various environmental factors using field transcriptome data obtained from samples grown in a paddy field at Tsukuba, Japan. In this series of experiments, we would like to improve the models for practical use. In order to do that, we have done field transcriptome assay in seven paddy fields at different sites in Japan (or, Sappro, Furukawa, Toyama, Tsukuba, Takatsuki, Furukawa, and Fukuoka). This data is from one of the places, Takatsuki.
Project description:Time-course transcriptional profiling of rice leaf in Sapporo field in 2013. This experiment was performed to analyze the dynamics of field transcriptome data. We have previously demonstrated statistical modeling of gene expression under various environmental factors using field transcriptome data obtained from samples grown in a paddy field at Tsukuba, Japan. In this series of experiments, we would like to improve the models for practical use. In order to do that, we have done field transcriptome assay in seven paddy fields at different sites in Japan (or, Sappro, Furukawa, Toyama, Tsukuba, Takatsuki, Furukawa, and Fukuoka). This data is from one of the places, Sapporo.