ARTISTA: Axolotl Regenerative Telencehpalon Interpretation via Spatiotemporal Transcriptomic Atlas
Dataset ID: STDS0000056
30,178 Genes


Dataset information
Axolotl Regenerative Telencehpalon Interpretation via Spatiotemporal Transcriptomic Atlas (ARTISTA) is a spatially resolved transcriptomic data resource that provides visualization of gene expression across the regeneration and development stages of axolotl telencephalon at single cell resolution, aiming to provide a systematic dissection of the molecular events underlying neural regeneration in the axolotl brain, laying the foundation for further mechanistic studies. To comprehensively understand cellular dynamics occurred during axolotl brain regeneration and development, here, we carried out a series of spatial transcriptome analyses on serial sections along the rostral-caudal axis of 2 (3 sections), 5 (3 sections), 10 (3 sections), 15 (4 sections), 20 (3 sections), 30 and 60 days post injury (DPI) brain tissues after removal of a reproducible portion of dorsal pallium in left telencephalic hemisphere of 11 cm length axolotl. We also collected sections from developmental (stage 44, 54, and 57), juvenile, adult, and metamorphosed axolotl telencephalons. Based on this dataset, researchers can quickly explore the gene expression profiles of their interested cell types in spatial map across different regeneration and development stages of axolotl telencephalon.
Ambystoma mexicanum
Development stage:
Developmental stage 44, Developmental stage 54, Developmental stage 57, Juvenile, Adult, Metamorphosed animals, 2 days post injury, 5 days post injury, 10 days post injury, 15 days post injury, 20 days post injury, 30 days post injury, 60 days post injury
Injured brain
Wei, Xiaoyu et al. “Single-cell Stereo-seq reveals induced progenitor cells involved in axolotl brain regeneration.” Science (New York, N.Y.) vol. 377,6610 (2022): eabp9444. doi:10.1126/science.abp9444
Submission date: 2021-08-01Update date: 2021-08-01
Sample number: 36Section number: 16

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Project ID: CNP0002068
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