High-resolution 3D spatiotemporal transcriptomic maps of developing Drosophila embryos and larvae.
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IF: 13.417
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Cited by: 37
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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.

Keywords

Stereo-seq
Spatial Transcriptomics
Temporal Spatial Transcriptomics
Drosophila development
gene regulatory networks
spatial transcriptomics

Authors

Wang, Mingyue
Hu, Qinan
Lv, Tianhang
Wang, Yuhang
Lan, Qing
Xiang, Rong
Tu, Zhencheng
Wei, Yanrong
Han, Kai
Shi, Chang
Guo, Junfu
Liu, Chao
Yang, Tao
Du, Wensi
An, Yanru
Cheng, Mengnan
Xu, Jiangshan
Lu, Haorong
Li, Wangsheng
Zhang, Shaofang
Chen, Ao
Chen, Wei
Li, Yuxiang
Wang, Xiaoshan
Xu, Xun
Hu, Yuhui
Liu, Longqi

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