Fig. 1: The CNN EmbryoNet robustly identifies molecular defects based on phenotype data. | Nature Methods

Fig. 1: The CNN EmbryoNet robustly identifies molecular defects based on phenotype data.

From: EmbryoNet: using deep learning to link embryonic phenotypes to signaling pathways

Fig. 1

a, Simplified schematic of signaling domains during zebrafish development projected onto an early embryo. b, Schematic drawings of zebrafish embryo phenotypes. −BMP loss of function causes reduced and often curled tails, +RA gain-of-function embryos lack head structures and have shortened tails, −Wnt leads to enlarged heads and shortened tails, −FGF causes loss of mesoderm and tail tissue, −Nodal embryos lack mesoderm and have cyclopia, −Shh embryos frequently have mispatterned somites and cyclopia, and −PCP leads to a shortened and widened body axis, manifested, for example, by shorter somites. c,d, Treatment with the chemical Nodal inhibitor SB-505124 caused specific phenotypes that were not yet apparent at sphere stage (c (i)), but which were clearly visible at segmentation stages (c (ii)); n = 36. The inhibitor treatment (c (iii)) phenocopied the MZoep (d) mutant, and both phenotypes were robustly identified by EmbryoNet; n = 58. e,f, Schematic overview of the neural network architecture with convolutional (Conv) layers shown in blue. Stack sizes after each image filter are illustrated in e, whereas f details the filters of the network. Relu, rectified linear unit. gi, EmbryoNet correctly classified embryos in a mixed population. g, Experimental set-up. Embryos at the one-cell stage were injected with mRNA encoding the Nodal inhibitor Lefty1 and Alexa647-labeled dextran (magenta), mRNA encoding the BMP inhibitor Chordin and Alexa488-labeled dextran (green), or were left uninjected (wild type) and then imaged. Black bounding boxes indicate the class Unknown; green indicates −Nodal; red indicates −BMP; white indicates Normal and magenta indicates Dead. h, At the sphere stage, EmbryoNet labeled the phenotypes as Unknown. Dextran-labeling shows the applied treatment. i, During segmentation stages the Normal, −BMP and −Nodal samples were correctly identified by EmbryoNet. The classification is in accordance with the dextran colors; n = 85. Scale bar, 500 µm.

Back to article page