Dataset Open Access
A single-cell and spatially resolved atlas of human breast cancers | spatial transcriptomics data
Sunny Z Wu;
Alexander Swarbrick
This repository contains spatial transcriptomics data related to the Wu et al. 2021 study "A single-cell and spatially resolved atlas of human breast cancers". Processed count matrices, brightfield HE-images (plain and annotated) and meta-data (containing clinical information and spot pathological details) for 6 primary breast cancers profiled using the Visium assay (10X Genomics). If you use this dataset in your research, please consider citing the above study.
The content of the files are:
raw_count_matrices.tar.gz - spaceranger processed raw count matrices.
spatial.tar.gz - spaceranger processed spatial files (images, scalefactors, aligned fiducials, position lists)
filtered_count_matrices.tar.gz - filtered count matrices.
metadata.tar.gz - metadata for tissues and spots of filtered count matrices, including clinical subtype and pathological annotation of each spot.
images.pdf - pdf detailing the H&E and annotation images.
| Name | Size | |
|---|---|---|
|
filtered_count_matrices.tar.gz
md5:ea1220f0606c4d4e9307468fb2d5427a |
155.7 MB | Download |
|
images.pdf
md5:7a44782b0c376e5b4cb8bb1127821e6f |
457.7 MB | Download |
|
metadata.tar.gz
md5:1d0b34ead70635c094ac74ac58a88d68 |
217.5 kB | Download |
|
raw_count_matrices.tar.gz
md5:f332ba383872dd74a27db67fcbfcd900 |
252.9 MB | Download |
|
spatial.tar.gz
md5:29b02ae433d459d19dc52b75a529e8e9 |
54.3 MB | Download |
| All versions | This version | |
|---|---|---|
| Views | 4,738 | 4,738 |
| Downloads | 9,015 | 9,015 |
| Data volume | 2.8 TB | 2.8 TB |
| Unique views | 4,133 | 4,133 |
| Unique downloads | 4,073 | 4,073 |
- Publication date:
- June 5, 2021
- DOI:
-
- Keyword(s):
- spatial transcriptomics breast cancer Visium
- Published in:
- Nature Genetics:.
- License (for files):
- Creative Commons Attribution 4.0 International