Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, USA.
Nat Commun. 2013;4:1467. doi: 10.1038/ncomms2475.
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.
大多数基因突变和生物活性分子会在动物体内引起复杂的反应,而这些反应无法通过细胞培养模型来预测。然而,动物研究仍然过于缓慢,而且它们的分析通常仅限于少数几个检测指标。在这里,我们展示了一种高通量的光学投影断层扫描技术,该技术具有亚微米分辨率,可在数十秒内使用简单的流体系统对整个脊椎动物进行超维筛选。数百个独立的形态特征和复杂的表型在半透明斑马鱼幼虫中以空前的速度和细节在三维空间中自动捕获。通过对定量表型特征进行聚类,我们可以同时检测和分类许多生物学过程中即使是细微的变化。我们将我们的方法称为超维体内表型分析。为了说明超维体内表型分析的强大功能,我们使用 200 个独立的形态测量指标分析了几类致畸剂对软骨形成的影响,并确定了与它们在哺乳动物中的已知作用机制相关的相似性和差异。