MicroCT-Based phenomics in the zebrafish skeleton reveals virtues of deep phenotyping in a distributed organ system
eLife, ISSN: 2050-084X, Vol: 6
2017
- 53Citations
- 42Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations53
- Citation Indexes53
- CrossRef53
- 53
- Captures42
- Readers42
- 42
Article Description
Phenomics, which ideally involves in-depth phenotyping at the whole-organism scale, may enhance our functional understanding of genetic variation. Here, we demonstrate methods to profile hundreds of phenotypic measures comprised of morphological and densitometric traits at a large number of sites within the axial skeleton of adult zebrafish. We show the potential for vertebral patterns to confer heightened sensitivity, with similar specificity, in discriminating mutant populations compared to analyzing individual vertebrae in isolation. We identify phenotypes associated with human brittle bone disease and thyroid stimulating hormone receptor hyperactivity. Finally, we develop allometric models and show their potential to aid in the discrimination of mutant phenotypes masked by alterations in growth. Our studies demonstrate virtues of deep phenotyping in a spatially distributed organ system. Analyzing phenotypic patterns may increase productivity in genetic screens, and facilitate the study of genetic variants associated with smaller effect sizes, such as those that underlie complex diseases.
Bibliographic Details
10.7554/elife.26014; 10.7554/elife.26014.021; 10.7554/elife.26014.029; 10.7554/elife.26014.014; 10.7554/elife.26014.006; 10.7554/elife.26014.036; 10.7554/elife.26014.010; 10.7554/elife.26014.037; 10.7554/elife.26014.018; 10.7554/elife.26014.001; 10.7554/elife.26014.026; 10.7554/elife.26014.003; 10.7554/elife.26014.002
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85032893967&origin=inward; http://dx.doi.org/10.7554/elife.26014; http://www.ncbi.nlm.nih.gov/pubmed/28884682; https://elifesciences.org/articles/26014#fig7; http://dx.doi.org/10.7554/elife.26014.021; https://elifesciences.org/articles/26014#fig9; http://dx.doi.org/10.7554/elife.26014.029; https://elifesciences.org/articles/26014#fig5; http://dx.doi.org/10.7554/elife.26014.014; https://elifesciences.org/articles/26014#fig3; http://dx.doi.org/10.7554/elife.26014.006; http://dx.doi.org/10.7554/elife.26014.036; https://elifesciences.org/articles/26014#fig4; http://dx.doi.org/10.7554/elife.26014.010; https://elifesciences.org/articles/26014#author-response; http://dx.doi.org/10.7554/elife.26014.037; https://elifesciences.org/articles/26014#fig6; http://dx.doi.org/10.7554/elife.26014.018; https://elifesciences.org/articles/26014; https://elifesciences.org/articles/26014#abstract; http://dx.doi.org/10.7554/elife.26014.001; https://cdn.elifesciences.org/articles/26014/elife-26014-v2.pdf; https://cdn.elifesciences.org/articles/26014/elife-26014-v2.xml; https://elifesciences.org/articles/26014#fig8; http://dx.doi.org/10.7554/elife.26014.026; https://elifesciences.org/articles/26014#fig2; http://dx.doi.org/10.7554/elife.26014.003; https://elifesciences.org/articles/26014#fig1; http://dx.doi.org/10.7554/elife.26014.002; https://elifesciences.org/articles/26014#decision-letter; https://dx.doi.org/10.7554/elife.26014
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