Similar Datasets
Project description:The goal of this project was to identify strain-dependent expression of miRNAs in lung tissue from Collaborative Cross founder strains that were sensitized and challenged with house dust mite allergen (Der p 1). We analyzed whole lung RNAs from the eight Collaborative Cross founder strains (n=4/strain, all males) using Affymetrix miRNA 2.0 arrays
2015-03-01 | E-GEOD-63954 | biostudies-arrayexpress
Project description:RNA-Seq was performed on all 8 mouse founder strains of the Collaborative Cross to obtain a comprehensive splicing landscape of each strain.
2014-12-04 | E-MTAB-5020 | biostudies-arrayexpress
Project description:We report transcriptomic profiling from bulk heart, kidney, and liver tissues for 58 strains of the inbred mouse Collaborative Cross (CC). Each strain is represented by a male/female pair. Reads were first aligned to the pooled transcriptomes of the eight founder strains of the CC and then total gene counts were quantified using the EMASE and GBRS software tools. Total read counts can be further normalized for use in differential gene expression analysis, expression quantitative trait locus (eQTL) analysis, and integrative analyses with other -omic data sets measured on the same samples, including proteomics and phosphoproteomics.
2023-02-05 | GSE199702 | GEO
Project description:The goal of this project was to identify strain-dependent expression of miRNAs in lung tissue from Collaborative Cross founder strains that were sensitized and challenged with house dust mite allergen (Der p 1).
2015-03-01 | GSE63954 | GEO
Project description:Whole-genome sequencing of mouse recombinant inbred lines from the Collaborative Cross panel.
| PRJEB14673 | ENA
Project description:The Collaborative Cross (CC) recombinant inbred panel was conceived as an ideal resource for mammalian system genetics. The pre-CC is a proof-of-concept experiment involving CC lines that have undergone at least five generations of inbreeding. Siblings from these lines were each involved in one of four distinct phenotyping arms, then genotyped on a high-density Affymetrix platform. These mice were initially described in the following reference. Genome Research 2011 Aug;21(8):1213-22 (PMID: 21406540). The goal of this specific project was to identify gene expression QTL using lung tissue from pre-CC mice that were sensitized and challenged with house dust mite allergen (namely, Der p 1). We analyzed whole lung RNAs from 138 pre-Collaborative Cross mice using Illumina WG6v2 arrays. Pre-Collaborative Cross (CC) mice are partially inbred strains created by intercrossing eight founder (parental) strains: 129S1/SvImJ, (129S1), A/J (AJ), C57BL/6J (B6), CAST/Ei (CAST), NOD/LtJ (NOD), NZO/H1LtJ (NZO), PWK/Ph (PWK), and WSB/Ei (WSB). Sister-brother mating in 220 families was done for 5-12 generations. One animal was sampled from 138 unique pre-CC strains, each designated by the prefix OR which denotes Oak Ridge National Laboratory as the original source of these mice. The parental strains are not part of this submission. Hybridizations were performed at the National Human Genome Research InstituteM-bM-^@M-^Ys Gene Expression Core Facility.The resulting data were initially processed using Illumina Genome Studio software and then imported into R (v2.9.2) for post-processing. Normalization was conducted using RMA with quantile normalization and log2 transformation.
2013-11-15 | E-GEOD-51768 | biostudies-arrayexpress
Project description:The Collaborative Cross (CC) recombinant inbred panel was conceived as an ideal resource for mammalian system genetics. The pre-CC is a proof-of-concept experiment involving CC lines that have undergone at least five generations of inbreeding. Siblings from these lines were each involved in one of four distinct phenotyping arms, then genotyped on a high-density Affymetrix platform. The genetic profile of these emerging lines reveals high diversity, balanced allele frequencies, and well-distributed recombination – all ideal qualities for a mapping panel. We have mapped white spot, a discrete trait; body weight, a highly polygenic complex trait; and more than 11,000 liver gene expression traits. These analyses provide a glimpse of the potential mapping power and resolution of the CC. The goal of this project was to identify eQTLs for genome-wide gene expression from liver tissue in pre-CC mice. Gene expression profiling from liver tissue from pre-CC males. Pre-Collaborative Cross (CC) mice are partially inbred strains created by intercrossing eight founder (parental) strains: 129S1/SvImJ, (129S1), A/J (AJ), C57BL/6J (B6), CAST/Ei (CAST), NOD/LtJ (NOD), NZO/H1LtJ (NZO), PWK/Ph (PWK), and WSB/Ei (WSB). Sister-brother mating in 220 families was done for 4-11 generations. One animal was sampled from 157 pre-CC strain. Hybridizations were performed at the Gene Expression Core Facility at The Jackson Laboratory. Samples were divided in six batches of about 11 to 24 samples. Two batches were performed per day. Probe-level data was summarized by a custom CDF file based on Ensembl genes (NCBI 37, Ensembl 49; htttp://brainarray.mbni.med.umich.edu). The parental strains are not part of this submission.
2010-12-01 | E-GEOD-22297 | biostudies-arrayexpress
Project description:Whole genome sequencing and progress towards full inbreeding of the mouse Collaborative Cross population
| PRJEB31495 | ENA
Project description:Advancements in -omics techniques provide powerful tools to assess potential effects in composition of a plant at the RNA, protein and metabolite levels. These technologies can thus be deployed to assess whether genetic engineering causes changes in plants that go beyond the changes introduced by conventionally plant breeding. Here, we compare the extent of transcriptome and metabolome modification occurring in leaves of four GE rice lines expressing Bacillus thuringiensis (Bt) genes that developed by genetic engineering and seven rice lines developed by conventional cross-breeding. The results showed that both types of crop breeding methods can bring changes at transcriptomic and metabolic levels, but the differences were comparable between the two methods, and were less than those between conventional non-GE lines. Metabolome profiling analysis found several new metabolites in GE rice lines when compared to the closest non-GE parental lines, but these compounds were also found in several of the conventionally bred rice lines. Functional analyses suggest that the differentially expressed genes and metabolites caused by both genetic engineering and conventional cross-breeding do not involve detrimental metabolic pathways. The study successfully employed RNA-sequencing and HPLC-MS technology to assess the unintended changes in new rice varieties, and the results suggest that genetic engineering does not cause unintended effects that go beyond conventional cross-breeding in rice.
2020-10-01 | GSE152572 | GEO
Project description:To accurately identify the unique transcriptional signatures in collaborative cross mice after exposure to West Nile Virus (or mock/no virus) , RNA isolated from spleen tissue and was analyzed using the nanostring immunology panel.
2016-09-01 | GSE86000 | GEO