High-throughput hyperdimensional vertebrate phenotyping

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作者
Carlos Pardo-Martin
Amin Allalou
Jaime Medina
Peter M. Eimon
Carolina Wählby
Mehmet Fatih Yanik
机构
[1] Massachusetts Institute of Technology (MIT),Department of Electrical Engineering and Computer Science
[2] 77 Massachusetts Avenue,Division of Health Sciences and Technology
[3] Cambridge,Department of Biological Engineering
[4] Massachusetts 02139,undefined
[5] USA,undefined
[6] MIT,undefined
[7] 77 Massachusetts Avenue,undefined
[8] Cambridge,undefined
[9] Massachusetts 02139,undefined
[10] USA,undefined
[11] School of Engineering and Applied Sciences,undefined
[12] Harvard University,undefined
[13] Centre for Image Analysis,undefined
[14] Science for Life Laboratory,undefined
[15] Uppsala University,undefined
[16] Box337,undefined
[17] Uppsala SE-75105,undefined
[18] Sweden,undefined
[19] Imaging Platform,undefined
[20] Broad Institute of Massachusetts Institute of Technology and Harvard,undefined
[21] 7 Cambridge Center,undefined
[22] MIT,undefined
[23] 77 Masschusetts Avenue,undefined
[24] Cambridge,undefined
[25] Massachusetts 02139,undefined
[26] USA,undefined
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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 micrometre 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 semitransparent 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. To illustrate the power of hyperdimensional in vivo phenotyping, we have analysed 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.
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