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High-throughput hyperdimensional vertebrate phenotyping
- Source :
- Nature communications
- Publication Year :
- 2013
-
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 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.
- Subjects :
- Phenotypic screening
General Physics and Astronomy
Computational biology
Gene mutation
Optical projection tomography
General Biochemistry, Genetics and Molecular Biology
Article
Bone and Bones
Craniofacial Abnormalities
03 medical and health sciences
0302 clinical medicine
biology.animal
Zebrafish larvae
Image Processing, Computer-Assisted
Animals
Zebrafish
Tomography
030304 developmental biology
0303 health sciences
Multidisciplinary
biology
Cartilage formation
Vertebrate
General Chemistry
Anatomy
biology.organism_classification
Phenotype
Teratogens
Larva
Vertebrates
030217 neurology & neurosurgery
Subjects
Details
- Language :
- English
- ISSN :
- 20411723
- Volume :
- 4
- Database :
- OpenAIRE
- Journal :
- Nature communications
- Accession number :
- edsair.doi.dedup.....353995433b862823b5d8cb5b189c88e3