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Single-Cell Transcriptome Profiling Reveals Intratumoral Heterogeneity and Molecular Features in Breast Cancer

ABSTRACT: Single-Cell Transcriptome Profiling Reveals Intratumoral Heterogeneity and Molecular Features in Breast Cancer

PROVIDER: PRJNA802367 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR17843629.fastq.gz	Fastqsanger.gz
	SRR17843630.fastq.gz	Fastqsanger.gz
	SRR17843631.fastq.gz	Fastqsanger.gz
	SRR17843632.fastq.gz	Fastqsanger.gz
	SRR17843633.fastq.gz	Fastqsanger.gz

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Single-Cell Transcriptome Profiling Reveals Intratumoral Heterogeneity and Molecular Features in Breast Cancer

Project description:Ductal carcinoma in situ (DCIS) is a nonobligate precursor of invasive breast cancer. Its biological features, particularly its intratumoral heterogeneity, remain obscure. Moreover, mechanism of lymph node metastasis is unclear. To address this deficiency, we performed single-cell transcriptome profiling of DCIS, invasive ductal carcinoma (IDC) and lymph node metastasis. Single-cell transcriptome analysis revealed that breast cancer exhibits intratumoral heterogeneity at the transcriptional level, defining specific functions, and that DCIS has similar heterogeneity to IDC.

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Project description: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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