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| Status |
Public on Aug 02, 2022 |
| Title |
Single-Cell Transcriptome Profiling Reveals Intratumoral Heterogeneity and Molecular Features in Ductal Carcinoma In Situ of the Breast |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by high throughput sequencing
Other
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| Summary |
This sample was collected to conduct spacial transcriptome analysis of breast cancer. We analyzed heterogeneity of HER2+ ducal cacinoma in situ (DCIS). We obtained transcriptome data from 1,521 distinct spots. By an unsupervised dimensionality reduction approach through UMAP, the data were decomposed into 5 clusters (Clusters 0 to 4). The 2 luminal epithelial clusters were identified, however ERBB2/HER2 expression level was different in these clusters. Unsupervised clustering analysis showed clear separation of the cells from the 2 clusters. Analysis of canonical pathways and upstream regulators by IPA indicated functionally distinct luminal epithelial populations in one HER2+ DCIS sample.
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| Overall design |
Spacial transcriptome profiling from 1 human breast cancer tissues (DCIS).
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| Contributor(s) |
Tokura M, Nakayama J, Yamamoto Y |
| Citation(s) |
35852797 |
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| Submission date |
Feb 06, 2022 |
| Last update date |
Aug 04, 2022 |
| Contact name |
Jun Nakayama |
| E-mail(s) |
jnakayama.re@gmail.com
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| Organization name |
National Cancer Center
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| Street address |
Tsukiji 5-1-1
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| City |
Chuo-ku |
| State/province |
Tokyo |
| ZIP/Postal code |
104-0045 |
| Country |
Japan |
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| Platforms (1) |
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| Samples (1) |
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| Relations |
| BioProject |
PRJNA803903 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE196208_RAW.tar |
150.0 Mb |
(http)(custom) |
TAR (of CSV, H5, JSON, PNG, TAR, TIFF) |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data provided as supplementary file |
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