A single-cell 3D spatiotemporal multi-omics atlas from Drosophila embryogenesis to metamorphosis
Wang, M.; Hu, Q.; Tu, Z.; Kong, L.; Yao, J.; Xiang, R.; Chen, Z.; Zhao, Y.; Zhou, Y.; Yu, T.; Wang, Y.; Jia, Z.; Ouyang, K.; Wang, X.; Bai, Y.; Lian, M.; Yang, Z.; Yang, T.; Chen, J.; Huang, Y.; Yin, N.; Mo, W.; Liang, W.; Liu, C.; Lin, X.; Liu, C.; Gu, Y.; Chen, W.; Liu, L.; Xu, X.; Hu, Y.
Show abstract
The development of a multicellular organism is a highly intricate process tightly regulated by numerous genes and pathways in both spatial and temporal manners. Here, we present Flysta3D, a comprehensive multi-omics atlas of the model organism Drosophila, spanning its developmental lifespan from embryo to pupa. Our datasets encompass 3D single-cell spatial transcriptomic, single-cell transcriptomic, and single-cell chromatin accessibility information. By integrating these multi-dimensional data, we constructed cell state trajectories that uncover the detailed profiles of tissue development. With a focus on the central nervous system (CNS) and midgut, we dissected the spatiotemporal dynamics of gene regulatory networks, cell type diversity, and morphological changes from a multi-omics perspective. This extensive atlas provides an unprecedentedly rich resource and serves as a systematic platform for studying Drosophila development with integrated single-cell data at an ultra-high spatiotemporal resolution.
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