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SRX4526919: GSM3326181: PT089_P1_A10; Homo sapiens; RNA-Seq
1 ILLUMINA (Illumina Genome Analyzer) run: 2.8M spots, 211.1M bases, 80.1Mb downloads

Submitted by: NCBI (GEO)
Study: Unravelling subclonal heterogeneity and aggressive disease states in TNBC through single-cell RNA-seq [RNA-Seq]
show Abstracthide Abstract
Triple-negative breast cancer (TNBC) is an aggressive subtype characterized by extensive intratumoral heterogeneity. To investigate the underlying biology, we conduct single-cell RNA- sequencing (scRNA-seq) of >1500 cells from six primary TNBC. Intercellular heterogeneity of gene expression programs within each tumor was variable and largely correlated with clonality of inferred genomic copy number changes, suggesting that genotype drives the gene expression phenotype of individual subpopulations. Clustering of gene expression profiles identified distinct subgroups of malignant cells shared by multiple tumors, including a single subpopulation associated with multiple signatures of treatment resistance and metastasis, and characterized functionally by activation of glycosphingolipid metabolism and associated innate immunity pathways. A novel signature defining this subpopulation was predictive of long-term outcomes for TNBC patients in a large patient cohort. Collectively, this analysis reveals the functional heterogeneity and its association with genomic evolution in TNBC, and uncovers unanticipated biological principles dictating poor outcomes in this disease. Overall design: Single cell RNA sequencing of 1,534 cells in six fresh triple negative breast cancer tumors.
Sample: PT089_P1_A10
SAMN09789698 • SRS3644789 • All experiments • All runs
Organism: Homo sapiens
Library:
Instrument: Illumina Genome Analyzer
Strategy: RNA-Seq
Source: TRANSCRIPTOMIC
Selection: cDNA
Layout: PAIRED
Construction protocol: Fresly collected human tumor samples were mechanically and enzymatically digested using tumor dissociation kit (Miltenyi Biotec). Single cells were sorted by flow cytometry, lysed and snap frozen on dry ice immediately. RNA libraries were prepared using Smart-seq2 protocol (Picelli et al., 2014)
Experiment attributes:
GEO Accession: GSM3326181
Links:
Runs: 1 run, 2.8M spots, 211.1M bases, 80.1Mb
Run# of Spots# of BasesSizePublished
SRR76663552,777,120211.1M80.1Mb2018-09-25

ID:
6131735

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