High-throughput hyperdimensional vertebrate phenotyping

• Main Authors: Pardo-Martin, Carlos (Contributor), Allalou, Amin Mohamed (Contributor), Medina, Jaime (Contributor), Eimon, Peter (Contributor), Wählby, Carolina (Author), Yanik, Mehmet Fatih (Contributor)
• Other Authors: Harvard University- (Contributor), Massachusetts Institute of Technology. Department of Biological Engineering (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Research Laboratory of Electronics (Contributor)
• Format: Article
• Language: English
• Published: Nature Publishing Group, 2014-10-31T13:57:52Z.
• Subjects: Article
• Online Access: Get fulltext

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.
National Institutes of Health (U.S.) (NIH Transformative Research Award (R01 NS073127))
National Institutes of Health (U.S.) (NIH (R01 GM095672)
National Institutes of Health (U.S.) (NIH Director's New Innovator award (1-DP2-OD002989))
Howard Hughes Medical Institute (International Student Fellowship)
Broad Institute of MIT and Harvard (SPARC grant)
David & Lucile Packard Foundation (Award in Science and Engineering)