Feasibility for a large scale mouse mutagenesis by injecting CRISPR/Cas plasmid into zygotes

2013 ◽  
Vol 56 (1) ◽  
pp. 122-129 ◽  
Author(s):  
Daisuke Mashiko ◽  
Samantha A. M. Young ◽  
Masanaga Muto ◽  
Hirotaka Kato ◽  
Kaori Nozawa ◽  
...  
Keyword(s):  
Large Scale ◽  
Mouse Mutagenesis

The large-scale Munich ENU-mouse-mutagenesis screen

2000 ◽  
Vol 11 (7) ◽  
pp. 507-510 ◽  
Author(s):  
Dian Soewarto ◽  
Christiane Fella ◽  
Andreas Teubner ◽  
Birgit Rathkolb ◽  
Walter Pargent ◽  
...  
Keyword(s):  
Large Scale ◽  
Mutagenesis Screen ◽  
Mouse Mutagenesis

Capitalizing on large-scale mouse mutagenesis screens

2000 ◽  
Vol 1 (2) ◽  
pp. 109-115 ◽  
Author(s):  
Monica J. Justice
Keyword(s):  
Large Scale ◽  
Mouse Mutagenesis

Diabetes models by screen for hyperglycemia in phenotype-driven ENU mouse mutagenesis projects

2008 ◽  
Vol 294 (2) ◽  
pp. E232-E240 ◽  
Author(s):  
Bernhard Aigner ◽  
Birgit Rathkolb ◽  
Nadja Herbach ◽  
Martin Hrabé de Angelis ◽  
Rüdiger Wanke ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Large Scale ◽  
Experimental Models ◽  
Targeted Mutagenesis ◽  
Causative Mutation ◽  
Chromosomal Assignment ◽  
Screen Parameter ◽  
Mouse Mutants ◽  
Novel Alleles ◽  
Mouse Mutagenesis

More than 150 million people suffer from diabetes mellitus worldwide, and this number is expected to rise substantially within the next decades. Despite its high prevalence, the pathogenesis of diabetes mellitus is not completely understood. Therefore, appropriate experimental models are essential tools to gain more insight into the genetics and pathogenesis of the disease. Here, we describe the current efforts to establish novel diabetes models derived from unbiased, phenotype-driven, large-scale N-ethyl- N-nitrosourea (ENU) mouse mutagenesis projects started a decade ago using hyperglycemia as a high-throughput screen parameter. Mouse lines were established according to their hyperglycemia phenotype over several generations, thereby revealing a mutation as cause for the aberrant phenotype. Chromosomal assignment of the causative mutation and subsequent candidate gene analysis led to the detection of the mutations that resulted in novel alleles of genes already known to be involved in glucose homeostasis, like glucokinase, insulin 2, and insulin receptor. Additional ENU-induced hyperglycemia lines are under genetic analysis. Improvements in screen for diabetic animals are implemented to detect more subtle phenotypes. Moreover, diet challenge assays are being employed to uncover interactions between genetic and environmental factors in the pathogenesis of diabetes mellitus. The new mouse mutants recovered in phenotype-driven ENU mouse mutagenesis projects complement the available models generated by targeted mutagenesis of candidate genes, all together providing the large resource of models required for a systematic dissection of the pathogenesis of diabetes mellitus.

Screening for increased plasma urea levels in a large-scale ENU mouse mutagenesis project reveals kidney disease models

2007 ◽  
Vol 292 (5) ◽  
pp. F1560-F1567 ◽  
Author(s):  
Bernhard Aigner ◽  
Birgit Rathkolb ◽  
Nadja Herbach ◽  
Elisabeth Kemter ◽  
Christina Schessl ◽  
...  
Keyword(s):  
Large Scale ◽  
Kidney Diseases ◽  
Weight Ratio ◽  
Mouse Strains ◽  
Chemical Parameters ◽  
Plasma Urea ◽  
Glomerular Lesions ◽  
Successful Establishment ◽  
Mutant Lines ◽  
Mouse Mutagenesis

Kidney diseases lead to the failure of urinary excretion of metabolism products. In the Munich ethylnitrosourea (ENU) mouse mutagenesis project, which is done on a C3H inbred genetic background, blood samples of more than 15,000 G1 offspring and 500 G3 pedigrees were screened for alterations in clinical-chemical parameters. We identified 44 animals consistently exhibiting increased plasma urea concentrations. Transmission analysis of the altered phenotype of 23 mice to subsequent generations led to the establishment of five mutant lines. Both sexes were affected in these lines. Urinary urea levels were decreased in the mutants. In addition, most mutants showed increased plasma and decreased urinary creatinine levels. Pathological investigation of kidneys from the five mutant lines revealed a broad spectrum of alterations, ranging from no macroscopic and light microscopic kidney alterations to decreased kidney weight-to-body weight ratio, dilation of the renal pelvis, and severe glomerular lesions. Thus screening for elevated plasma urea levels in a large-scale ENU mouse mutagenesis project resulted in the successful establishment of mouse strains which are valuable tools for molecular studies of mechanisms involved in urea excretion or which represent interesting models for kidney diseases.

PHENOSITE: A WEB DATABASE INTEGRATING THE MOUSE PHENOTYPING PLATFORM AND THE EXPERIMENTAL PROCEDURES IN MICE

2007 ◽  
Vol 05 (06) ◽  
pp. 1173-1191 ◽  
Author(s):  
HIROSHI MASUYA ◽  
SUMI YOSHIKAWA ◽  
NAOHIKO HEIDA ◽  
TETSURO TOYODA ◽  
SHIGEHARU WAKANA ◽  
...  
Keyword(s):  
Large Scale ◽  
Chromosomal Location ◽  
Web Database ◽  
Phenotypic Data ◽  
Resource Information ◽  
Related Information ◽  
Mouse Mutants ◽  
Experimental Protocols ◽  
Using Data ◽  
Mouse Mutagenesis

Recently, a number of collaborative large-scale mouse mutagenesis programs have been launched. These programs aim for a better understanding of the roles of all individual coding genes and the biological systems in which these genes participate. In international efforts to share phenotypic data among facilities/institutes, it is desirable to integrate information obtained from different phenotypic platforms reliably. Since the definitions of specific phenotypes often depend on a tacit understanding of concepts that tends to vary among different facilities, it is necessary to define phenotypes based on the explicit evidence of assay results. We have developed a website termed PhenoSITE (Phenome Semantics Information with Terminology of Experiments: ), in which we are trying to integrate phenotype-related information using an experimental-evidence–based approach. The site's features include (1) a baseline database for our phenotyping platform; (2) an ontology associating international phenotypic definitions with experimental terminologies used in our phenotyping platform; (3) a database for standardized operation procedures of the phenotyping platform; and (4) a database for mouse mutants using data produced from the large-scale mutagenesis program at RIKEN GSC. We have developed two types of integrated viewers to enhance the accessibility to mutant resource information. One viewer depicts a matrix view of the ontology-based classification and chromosomal location of each gene; the other depicts ontology-mediated integration of experimental protocols, baseline data, and mutant information. These approaches rely entirely upon experiment-based evidence, ensuring the reliability of the integrated data from different phenotyping platforms.

scholarly journals Analysis of breeding and pathology helps refine management practices of a large-scale N′-ethyl-N′-nitrosourea mouse mutagenesis programme

2009 ◽  
Vol 43 (1) ◽  
pp. 1-10 ◽  
Author(s):  
A P L Smith ◽  
S Polley ◽  
S Wells ◽  
M Stewart ◽  
L Vizor ◽  
...  
Keyword(s):  
Large Scale ◽  
Management Practices ◽  
Mouse Mutagenesis

Some comments about observations and image processing of comet 29P/Schwassmann-Wachmann 1

1999 ◽  
Vol 173 ◽  
pp. 243-248
Author(s):  
D. Kubáček ◽  
A. Galád ◽  
A. Pravda
Keyword(s):  
Image Processing ◽  
Large Scale ◽  
Harvard College ◽  
Oak Ridge ◽  
Large Scale Structures ◽  
Short Period Comet ◽  
Short Period ◽  
Scale Structures ◽  
Harvard College Observatory ◽  
Period Comet

AbstractUnusual short-period comet 29P/Schwassmann-Wachmann 1 inspired many observers to explain its unpredictable outbursts. In this paper large scale structures and features from the inner part of the coma in time periods around outbursts are studied. CCD images were taken at Whipple Observatory, Mt. Hopkins, in 1989 and at Astronomical Observatory, Modra, from 1995 to 1998. Photographic plates of the comet were taken at Harvard College Observatory, Oak Ridge, from 1974 to 1982. The latter were digitized at first to apply the same techniques of image processing for optimizing the visibility of features in the coma during outbursts. Outbursts and coma structures show various shapes.

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