Data from: A high-content imaging approach to profile C. elegans embryonic development
Data files
Mar 27, 2019 version files 89.16 MB
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aph-1_EMBD0022_GLS-1.mp4
887.37 KB
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aph-1_EMBD0022_MS.mp4
1.68 MB
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apl-1_EMBD0082_GLS.mp4
635.47 KB
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apl-1_EMBD0082_MS.mp4
1.09 MB
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aps-1_EMBD0013_GLS.mp4
1.41 MB
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aps-1_EMBD0013_MS.mp4
1.70 MB
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arx-1_EMBD0006_GLS-2.mp4
1.33 MB
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arx-1_EMBD0006_MS.mp4
1.04 MB
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arx-3_EMBD0055_GLS-2.mp4
1.23 MB
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arx-3_EMBD0055_MS.mp4
3.14 MB
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ast-1_EMBD0074_GLS.mp4
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ast-1_EMBD0074_MS.mp4
785.34 KB
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ceh-43_EMBD0018_GLS.mp4
847.29 KB
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ceh-43_EMBD0018_MS.mp4
1.37 MB
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control_EMBD0000_GLS_long.mp4
1.09 MB
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control_EMBD0000_MS_long.mp4
1.39 MB
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die-1_EMBD0009_GLS.mp4
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die-1_EMBD0009_MS.mp4
1.07 MB
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dsh-2_EMBD0038_GLS.mp4
1.39 MB
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dsh-2_EMBD0038_MS.mp4
1.88 MB
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eff-1_EMBD0042_GLS.mp4
782.38 KB
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eff-1_EMBD0042_MS.mp4
1.06 MB
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elt-1_EMBD0016_GLS.mp4
693.36 KB
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elt-1_EMBD0016_MS.mp4
1.18 MB
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emb-9_EMBD0062_GLS.mp4
936.64 KB
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emb-9_EMBD0062_MS.mp4
1.04 MB
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gex-2_EMBD0005_GLS.mp4
796.32 KB
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gex-2_EMBD0005_MS.mp4
975.91 KB
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grh-1_EMBD0012_GLS.mp4
1 MB
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grh-1_EMBD0012_MS.mp4
1.75 MB
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hch-1_EMBD0041_GLS.mp4
739.92 KB
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hch-1_EMBD0041_MS.mp4
702.68 KB
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hmg-3_EMBD0003_GLS.mp4
650.15 KB
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hmg-3_EMBD0003_MS.mp4
1.28 MB
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hmr-1_EMBD0057_GLS.mp4
1.47 MB
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hmr-1_EMBD0057_MS.mp4
1.44 MB
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lag-1_EMBD0068_GLS.mp4
586.89 KB
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lag-1_EMBD0068_MS.mp4
792.24 KB
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lam-3_EMBD0014_GLS.mp4
1.12 MB
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lam-3_EMBD0014_MS.mp4
712.57 KB
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let-19_EMBD0004_GLS.mp4
603.47 KB
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let-19_EMBD0004_MS.mp4
934.78 KB
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let-381_EMBD0015_GLS.mp4
1.34 MB
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let-381_EMBD0015_MS.mp4
1.37 MB
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let-4_EMBD0026_GLS.mp4
1.50 MB
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let-4_EMBD0026_MS.mp4
1.84 MB
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let-413_EMBD0054_GLS.mp4
962.89 KB
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let-413_EMBD0054_MS.mp4
2.21 MB
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let-502_EMBD0007_GLS.mp4
996.91 KB
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let-502_EMBD0007_MS.mp4
886.42 KB
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lin-26_EMBD0052_GLS.mp4
605.55 KB
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lin-26_EMBD0052_MS.mp4
2.13 MB
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lit-1_EMBD0387_GLS.mp4
690.26 KB
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lit-1_EMBD0387_MS.mp4
940.14 KB
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mbk-2_EMBD0077_GLS.mp4
904.40 KB
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mbk-2_EMBD0077_MS.mp4
550.74 KB
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mes-1_EMBD0043_GLS.mp4
681.88 KB
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mes-1_EMBD0043_MS.mp4
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mex-3_EMBD0063_GLS.mp4
907.42 KB
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mex-3_EMBD0063_MS.mp4
1.06 MB
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mom-2_EMBD0386_GLS.mp4
1.05 MB
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mom-2_EMBD0386_MS.mp4
1.08 MB
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pal-1_EMBD0053_GLS.mp4
985.41 KB
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pal-1_EMBD0053_MS.mp4
1.33 MB
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pha-1_EMBD0025_GLS.mp4
827.59 KB
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pha-1_EMBD0025_MS.mp4
649.64 KB
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pha-4_EMBD0002_GLS.mp4
741.04 KB
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pha-4_EMBD0002_MS.mp4
2.47 MB
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plrg-1_EMBD0076_GLS.mp4
331.86 KB
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plrg-1_EMBD0076_MS.mp4
751.40 KB
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pop-1_EMBD0388_GLS.mp4
708.26 KB
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pop-1_EMBD0388_MS.mp4
1.02 MB
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pxn-2_EMBD0039_GLS.mp4
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pxn-2_EMBD0039_MS.mp4
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README.txt
14.72 KB
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sem-4_EMBD0080_GLS.mp4
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sem-4_EMBD0080_MS.mp4
1.38 MB
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vab-1_EMBD0027_GLS.mp4
1.99 MB
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vab-1_EMBD0027_MS.mp4
1.13 MB
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vab-19_EMBD0029_GLS.mp4
734.78 KB
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vab-19_EMBD0029_MS.mp4
755.20 KB
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wrm-1_EMBD0385_GLS.mp4
670.46 KB
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wrm-1_EMBD0385_MS.mp4
904.21 KB
Abstract
The C. elegans embryo is an important model for analyzing mechanisms of cell fate specification and tissue morphogenesis. Sophisticated lineaging approaches for analyzing embryogenesis have been developed but are labor-intensive and do not naturally integrate morphogenetic readouts. To enable the rapid classification of developmental phenotypes, we developed a high-content method that employs two custom strains: a Germ Layer strain expressing nuclear markers in the ectoderm, mesoderm and endoderm/pharynx, and a Morphogenesis strain expressing markers labeling epidermal cell junctions and the neuronal cell surface. We describe a procedure that allows simultaneous live imaging of development in 80-100 embryos and provide a custom program that generates cropped, oriented image stacks of individual embryos to facilitate analysis. We demonstrate the utility of our method by perturbing 40 previously characterized developmental genes in variants of the two strains containing RNAi-sensitizing mutations. The resulting datasets yielded distinct, reproducible signature phenotypes for a broad spectrum of genes involved in cell fate specification and morphogenesis. Our analysis additionally provides new in vivo evidence for MBK-2 function in mesoderm fate specification and LET-381 function in elongation.