High-resolution spatiotemporal transcriptomic maps of developing Drosophila embryos and larvae
Dataset ID: STDS0000060
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155,684 Spots
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12,850 Genes

Catalog


Dataset information
Summary:
This database is intended to curate 3D spatial transcriptomes of all stages of Drosophila embryos and larvae generated by Stereo-seq. Drosophila melanogaster strain w1118 embryos were collected at two late stages (14-16 h and 16-18 h after egg laying, corresponding to stage 16~17 of embryogenesis) and all three stages were also collected. These samples were subject to cryosection to generate 7~10 μm thick slices. All slices of each sample were applied to Stereo-seq chips to capture their 2D spatial transcriptomes. All the 2D spatial transcriptomes of each sample were combined to recreate their 3D spatial transcriptomes. More samples of different stages will be added in the future. With these data, one could visualize and analyze spatial expression patterns of genes of interest, 3D reconstruct tissue-specific spatial transcriptomes by clustering and annotation, simulate tissue developmental trajectory across development, identify cell signalling pathways and gene regulatory networks, examine gene functions in their intact spatial context etc.
Technology:
Stereo-Seq
Platform:
DNBSEQ-T1
Species:
Drosophila melanogaster(dm6)
Tissues:
Embryo
Organ parts:
Embryo, Larvae
Cell types:
midgut, carcass, fat body, epidermis, salivary gland, CNS, hindgut, hemolymph, muscle, trachea
Development stage:
Embryo of 14-16 h after egg laying, Embryo of 16-18 h after egg laying, 1st instar larva, 2nd instar larva, 3rd instar larva
Disease:
Normal
Citation:
Wang, Mingyue et al. “High-resolution 3D spatiotemporal transcriptomic maps of developing Drosophila embryos and larvae.” Developmental cell vol. 57,10 (2022): 1271-1283.e4. doi:10.1016/j.devcel.2022.04.006
Submission date: 2021-12-21Update date: 2021-12-21
Sample number: 5Section number: 90

Contributors
Mingyue Wang; Qinan Hu; Tianhang Lv; Yuhang Wang; Rong Xiang; Qing Lan; Zhencheng Tu; Yanrong Wei; Kai Han; Yanru An
Contact: liulongqi@genomics.cn