| Literature DB >> 35512700 |
Mingyue Wang1, Qinan Hu2, Tianhang Lv3, Yuhang Wang4, Qing Lan5, Rong Xiang5, Zhencheng Tu3, Yanrong Wei6, Kai Han7, Chang Shi5, Junfu Guo5, Chao Liu5, Tao Yang8, Wensi Du8, Yanru An5, Mengnan Cheng3, Jiangshan Xu3, Haorong Lu9, Wangsheng Li8, Shaofang Zhang8, Ao Chen5, Wei Chen10, Yuxiang Li11, Xiaoshan Wang12, Xun Xu13, Yuhui Hu14, Longqi Liu15.
Abstract
Drosophila has long been a successful model organism in multiple biomedical fields. Spatial gene expression patterns are critical for the understanding of complex pathways and interactions, whereas temporal gene expression changes are vital for studying highly dynamic physiological activities. Systematic studies in Drosophila are still impeded by the lack of spatiotemporal transcriptomic information. Here, utilizing spatial enhanced resolution omics-sequencing (Stereo-seq), we dissected the spatiotemporal transcriptomic changes of developing Drosophila with high resolution and sensitivity. We demonstrated that Stereo-seq data can be used for the 3D reconstruction of the spatial transcriptomes of Drosophila embryos and larvae. With these 3D models, we identified functional subregions in embryonic and larval midguts, uncovered spatial cell state dynamics of larval testis, and revealed known and potential regulons of transcription factors within their topographic background. Our data provide the Drosophila research community with useful resources of organism-wide spatiotemporally resolved transcriptomic information across developmental stages.Entities:
Keywords: Drosophila development; Stereo-seq; gene regulatory networks; spatial transcriptomics
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Year: 2022 PMID: 35512700 DOI: 10.1016/j.devcel.2022.04.006
Source DB: PubMed Journal: Dev Cell ISSN: 1534-5807 Impact factor: 12.270