Published May 10, 2025
| Version v1
Dataset
Open
Spatial transcriptomic profiling of ovarian clear cell carcinoma reveals intra-tumor heterogeneity in OXPHOS and epithelial-mesenchymal gradients associated with clinical outcomes
Authors/Creators
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1.
National Taiwan University
Description
We provide a spatial profiling dataset of ovarian clear cell carcinoma (OCCC) generated using NanoString GeoMx DSP, CosMx, and 10x Visium platforms from a cohort of 10 patients. The data were used in research conducted by the laboratory of Professor Ruby Huang (National Taiwan University). For further inquiries, please contact the corresponding author: Prof. Ruby Huang.
Files
Files
(781.2 MB)
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md5:b1b4a25f68da95c7a236f03da5b7062b
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14.2 kB | Download |
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md5:5218938c9055e51722b78c2d3349f2c2
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3.6 MB | Download |
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md5:a2a0df61d57d4fa91fa8db2af84d8340
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14.3 kB | Download |
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md5:a8d3d909d949271ab887186856ebcb16
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5.9 MB | Download |
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md5:9bed2967dd760b0ce34eb382b54ad8c1
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6.3 kB | Download |
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md5:9307af84f4b79cf2869edf0062c7fb82
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2.2 MB | Download |
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md5:78dd00fb62ce3829966757334db038dd
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611.4 MB | Download |
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md5:4592212eb0597b39fc765a4a6b317c8a
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158.1 MB | Download |
Additional details
Identifiers
Related works
- Is described by
- Peer review: 10.1101/2024.10.19.619181 (DOI)
Dates
- Available
-
2025-05-10