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PLoS Genetics
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PLoS Genetics
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Virtual Histology of Transgenic Mouse Embryos for High-Throughput Phenotyping

Authors: John T Johnson; Mark S Hansen; Isabel Wu; Lindsey J Healy; Christopher R Johnson; Greg M Jones; Mario R Capecchi; +1 Authors

Virtual Histology of Transgenic Mouse Embryos for High-Throughput Phenotyping

Abstract

A bold new effort to disrupt every gene in the mouse genome necessitates systematic, interdisciplinary approaches to analyzing patterning defects in the mouse embryo. We present a novel, rapid, and inexpensive method for obtaining high-resolution virtual histology for phenotypic assessment of mouse embryos. Using osmium tetroxide to differentially stain tissues followed by volumetric X-ray computed tomography to image whole embryos, isometric resolutions of 27 mum or 8 mum were achieved with scan times of 2 h or 12 h, respectively, using mid-gestation E9.5-E12.5 embryos. The datasets generated by this method are immediately amenable to state-of-the-art computational methods of organ patterning analysis. This technique to assess embryo anatomy represents a significant improvement in resolution, time, and expense for the quantitative, three-dimensional analysis of developmental patterning defects attributed to genetically engineered mutations and chemically induced embryotoxicity.

Keywords

Forkhead Box Protein O1, Molecular Sequence Data, Embryonic Development, Forkhead Transcription Factors, Mice, Transgenic, QH426-470, Embryo, Mammalian, Congenital Abnormalities, Mice, User-Computer Interface, Phenotype, Genetics, Animals, Humans, Paired Box Transcription Factors, Genetic Testing, Tomography, X-Ray Computed, PAX3 Transcription Factor, Research Article

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    158
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
158
Top 10%
Top 1%
Top 10%
Green
gold