Optical Projection Tomography (OPT) scans of mouse embryos, limbs and hearts
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus (mouse)
SUBMITTER:
PROVIDER: S-BIAD441 | bioimages |
REPOSITORIES: bioimages
Similar Datasets
Project description:Interventions: Case series:Nil
Primary outcome(s): Fresh tissue sample
Study Design: Single arm
| 2687934 | ecrin-mdr-crc
Project description:Plasma DNA end analysis (mouse)
| EGAS00001006700 | EGA
Project description:Jagged ends of plasma DNA (mouse)
| EGAS00001005563 | EGA
Project description:To complement the human Encyclopedia of DNA Elements (ENCODE) project and to enable a broad range of mouse genomics efforts, the Mouse ENCODE Consortium is applying the same experimental pipelines developed for human ENCODE to annotate the mouse genome.
| S-EPMC3491367 | biostudies-literature
Project description:The mouse artificial chromosome (MAC) has several advantages as a gene delivery vector, including stable episomal maintenance of the exogenous genetic material and the ability to carry large and/or multiple gene inserts including their regulatory elements. Previously, a MAC containing multi-integration site (MI-MAC) was generated to facilitate transfer of multiple genes into desired cells. To generate transchromosomic (Tc) mice containing a MI-MAC with genes of interest, the desired genes were inserted into MI-MAC in CHO cells, and then the MI-MAC was transferred to mouse embryonic stem (mES) cells via microcell-mediated chromosome transfer (MMCT). However, the efficiency of MMCT from CHO to mES cells is very low (<10(-6)). In this study, we constructed mES cell lines containing a MI-MAC vector to directly insert a gene of interest into the MI-MAC in mES cells via a simple transfection method for Tc mouse generation. The recombination rate of the GFP gene at each attachment site (FRT, PhiC31attP, R4attP, TP901-1attP and Bxb1attP) on MI-MAC was greater than 50% in MI-MAC mES cells. Chimeric mice with high coat colour chimerism were generated from the MI-MAC mES cell lines and germline transmission from the chimera was observed. As an example for the generation of Tc mice with a desired gene by the MI-MAC mES approach, a Tc mouse strain ubiquitously expressing Emerald luciferase was efficiently established. Thus, the findings suggest that this new Tc strategy employing mES cells and a MI-MAC vector is efficient and useful for animal transgenesis.
| S-EPMC4504986 | biostudies-literature
Project description:Mutations in human copper-zinc superoxide dismutase (SOD1) cause an inherited form of amyotrophic lateral sclerosis (ALS). Inclusions enriched in pathogenic SOD1 accumulate in the spinal cords of transgenic mice expressing these proteins, but endogenous mouse SOD1 is not found as a component of these aggregates. In the accompanying paper, Karch and colleagues analyze aggregation propensities of human/mouse SOD1 chimeras in cell culture and identify two sequence elements in the human enzyme that seem to enhance its aggregation relative to the mouse enzyme. Here, we report the first structure of mouse SOD1 along with those of SOD1 chimeras in which residues 1-80 come from human SOD1 and residues 81-153 come from mouse SOD1 and vice versa. Taken together, the structural and cell-based data suggest a model in which residues Q42 and Q123 in mouse SOD1 modulate non-native SOD1-SOD1 intermolecular interactions at edge strands in the SOD1 Greek key ?-barrel.
| S-EPMC3037271 | biostudies-literature
Project description:The Mouse SAGE Site is a web-based database of all available public libraries generated by the Serial Analysis of Gene Expression (SAGE) from various mouse tissues and cell lines. The database contains mouse SAGE libraries organized in a uniform way and provides web-based tools for browsing, comparing and searching SAGE data with reliable tag-to-gene identification. A modified approach based on the SAGEmap database is used for reliable tag identification. The Mouse SAGE Site is maintained on an ongoing basis at the Institute of Molecular Genetics, Academy of Sciences of the Czech Republic and is accessible at the internet address http://mouse.biomed.cas.cz/sage/.
| S-EPMC308792 | biostudies-literature
Project description:The Mouse Genome Database, (MGD, http://www.informatics.jax.org/), integrates genetic, genomic and phenotypic information about the laboratory mouse, a primary animal model for studying human biology and disease. MGD data content includes comprehensive characterization of genes and their functions, standardized descriptions of mouse phenotypes, extensive integration of DNA and protein sequence data, normalized representation of genome and genome variant information including comparative data on mammalian genes. Data within MGD are obtained from diverse sources including manual curation of the biomedical literature, direct contributions from individual investigator's laboratories and major informatics resource centers such as Ensembl, UniProt and NCBI. MGD collaborates with the bioinformatics community on the development of data and semantic standards such as the Gene Ontology (GO) and the Mammalian Phenotype (MP) Ontology. MGD provides a data-mining platform that enables the development of translational research hypotheses based on comparative genotype, phenotype and functional analyses. Both web-based querying and computational access to data are provided. Recent improvements in MGD described here include the association of gene trap data with mouse genes and a new batch query capability for customized data access and retrieval.
| S-EPMC2238849 | biostudies-literature
Project description:Cell migration is essential during development, regeneration, homeostasis, and disease. Depending on the microenvironment, cells use different mechanisms to migrate. Yet, all modes of migration require the establishment of an intracellular front-rear polarity axis for directional movement. Although front-rear polarity can be easily identified in in vitro conditions, its assessment in vivo by live-imaging is challenging due to tissue complexity and lack of reliable markers. Here, we describe a novel and unique double fluorescent reporter mouse line to study front-rear cell polarity in living tissues, called GNrep. This mouse line simultaneously labels Golgi complexes and nuclei allowing the assignment of a nucleus-to-Golgi axis to each cell, which functions as a readout for cell front-rear polarity. As a proof-of-principle, we validated the efficiency of the GNrep line using an endothelial-specific Cre mouse line. We show that the GNrep labels the nucleus and the Golgi apparatus of endothelial cells with very high efficiency and high specificity. Importantly, the features of fluorescent intensity and localization for both mCherry and eGFP fluorescent intensity and localization allow automated segmentation and assignment of polarity vectors in complex tissues, making GNrep a great tool to study cell behavior in large-scale automated analyses. Altogether, the GNrep mouse line, in combination with different Cre recombinase lines, is a novel and unique tool to study of front-rear polarity in mice, both in fixed tissues or in intravital live imaging. This new line will be instrumental to understand cell migration and polarity in development, homeostasis, and disease.
| S-EPMC6618267 | biostudies-literature
Project description:The Mouse Genome Database (MGD) is a comprehensive public database of mouse genomic, genetic and phenotypic information (http://www. informatics.jax.org). This community database provides information about genes, serves as a mapping resource of the mouse genome, details mammalian orthologs, integrates experimental data, represents standardized mouse nomenclature for genes and alleles, incorporates links to other genomic resources such as sequence data, and includes a variety of additional information about the laboratory mouse. MGD scientists and annotators work cooperatively with the research community to provide an integrated, consensus view of the mouse genome while also providing experimental data including data conflicting with the consensus representation. Recent improvements focus on the representation of phenotypic information and the enhancement of gene and allele descriptions.
| S-EPMC102449 | biostudies-literature