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Stereo-seq - Drosophila embryo E7

Stereo-seq faithfully captures Drosophila spatial transcriptomes with high resolution.

reference Wang et al., 2022
Drosophila Organism
1,039 × 755 Dimensions
1.78 MiB Size
log_cp10k Normalization
26-09-2024 Created

Description

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. (Data from an embryo collected 14-16 h after egg laying)

Preview

An AnnData object with n_obs × n_vars = 1,039 × 755 with slots:

Data structure

Name Description Type Data type Size
var
feature_name A human-readable name for the feature, usually a gene symbol. vector object 755
layers
counts Raw counts sparsematrix int64 1039 × 755
uns
dataset_description Long description of the dataset. atomic str 1
dataset_id A unique identifier for the dataset. This is different from the `obs.dataset_id` field, which is the identifier for the dataset from which the cell data is derived. atomic str 1
dataset_name A human-readable name for the dataset. atomic str 1
dataset_organism The organism of the sample in the dataset. atomic str 1
dataset_reference Bibtex reference of the paper in which the dataset was published. atomic str 1
dataset_summary Short description of the dataset. atomic str 1
dataset_url Link to the original source of the dataset. atomic str 1

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The processed dataset lives on the OpenProblems public S3 bucket, which is world-readable. Download the file directly, or copy its S3 URI to fetch it with your tool of choice.

dataset.h5ad 1.78 MiB
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s3://openproblems-data/resources/datasets/zenodo_spatial/stereoseq/drosophila_embryo_e7/dataset.h5ad

Used in

References

  1. Wang, M., Hu, Q., Lv, T., Wang, Y., Lan, Q., Xiang, R., Tu, Z., Wei, Y., Han, K., Shi, C., Guo, J., Liu, C., Yang, T., Du, W., An, Y., Cheng, M., Xu, J., Lu, H., Li, W., … Liu, L. (2022). High-resolution 3D spatiotemporal transcriptomic maps of developing drosophila embryos and larvae. 10.1016/j.devcel.2022.04.006 ↗