High-throughput hyperdimensional vertebrate phenotyping

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High-throughput hyperdimensional vertebrate phenotyping

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Title: High-throughput hyperdimensional vertebrate phenotyping
Author: Pardo-Martin, Carlos; Allalou, Amin; Medina, Jaime; Eimon, Peter M.; Wählby, Carolina; Yanik, Mehmet Fatih

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Citation: Pardo-Martin, Carlos, Amin Allalou, Jaime Medina, Peter M. Eimon, Carolina Wählby, and Mehmet Fatih Yanik. 2013. “High-throughput hyperdimensional vertebrate phenotyping.” Nature communications 4 (1): 1467. doi:10.1038/ncomms2475. http://dx.doi.org/10.1038/ncomms2475.
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Abstract: Most gene mutations and biologically active molecules cause complex responses in animals that cannot be predicted by cell culture models. Yet animal studies remain too slow and their analyses are often limited to only a few readouts. Here we demonstrate high-throughput optical projection tomography with micrometer resolution and hyperdimensional screening of entire vertebrates in tens of seconds using a simple fluidic system. Hundreds of independent morphological features and complex phenotypes are automatically captured in three dimensions with unprecedented speed and detail in semi-transparent zebrafish larvae. By clustering quantitative phenotypic signatures, we can detect and classify even subtle alterations in many biological processes simultaneously. We term our approach hyperdimensional in vivo phenotyping (HIP). To illustrate the power of HIP, we have analyzed the effects of several classes of teratogens on cartilage formation using 200 independent morphological measurements and identified similarities and differences that correlate well with their known mechanisms of actions in mammals.
Published Version: doi:10.1038/ncomms2475
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3573763/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:11855773
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