High-resolution spatiotemporal transcriptomic maps of developing Drosophila embryos and larvae

生物 转录组 果蝇属(亚属) 细胞生物学 黑腹果蝇 幼虫 胚胎 基因 进化生物学 发育生物学
作者
Mingyue Wang,Qinan Hu,Tianhang Lv,Yuhang Wang,Qing Lan,Zhencheng Tu,Rong Xiang,Yanrong Wei,Kai Han,Yanru An,Mengnan Cheng,Jiangshan Xu,Miguel A. Esteban,Haorong Lu,Wangsheng Li,Shaofang Zhang,Ao Chen,Wei Chen,Yuxiang Li,Xiaoshan Wang,Xun Xu,Yuhui Hu,Longqi Liu
出处
期刊:bioRxiv
标识
DOI:10.1101/2021.10.21.465301
摘要

SUMMARY Drosophila has long been a successful model organism in multiple fields such as genetics and developmental biology. Drosophila genome is relatively smaller and less redundant, yet largely conserved with mammals, making it a productive model in studies of embryogenesis, cell signaling, disease mechanisms, etc. Spatial gene expression pattern is critical for understanding of complex signaling pathways and cell-cell interactions, whereas temporal gene expression changes need to be tracked during highly dynamic activities such as tissue development and disease progression. Systematic studies in Drosophila as a whole are still impeded by lack of these spatiotemporal transcriptomic information. Drosophila embryos and tissues are of relatively small size, limiting the application of current technologies to comprehensively resolve their spatiotemporal gene expression patterns. Here, utilizing SpaTial Enhanced REsolution Omics-sequencing (Stereo-seq), we dissected the spatiotemporal transcriptomic changes of developing Drosophila with high resolution and sensitivity. Our data recapitulated the spatial transcriptomes of embryonic and larval development in Drosophila. With these data, we identified known and previously undetected subregions in several tissues during development, and revealed known and potential gene regulatory networks of transcription factors within their topographic background. We further demonstrated that Stereo-seq data can be used for 3D reconstruction of Drosophila embryo spatial transcriptomes. Our data provides Drosophila research community with useful resources of spatiotemporally resolved transcriptomic information across developmental stages.
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