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Gene expression profile at single cell level of SUM149PT, SUM185PE, SUM229PE, SUM159PT and SUM1315MO2 cell lines

ABSTRACT: SUM149PT, SUM185PE, SUM229PE, SUM159PT and SUM1315MO2 are triple negative breast cancer cell lines. They were sequenced to test the contrastive learning-based algorithm we developed to predict Afatinib sensitivity in TNBC.

ORGANISM(S): Homo sapiens

PROVIDER: GSE228275 | GEO | 2024/03/25

REPOSITORIES: GEO

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SUM159PT

Project description:SUM159PT

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Gene expression profile at single cell level of SUM149PT, SUM185PE, SUM229PE, SUM159PT and SUM1315MO2 cell lines

Project description:Gene expression profile at single cell level of SUM149PT, SUM185PE, SUM229PE, SUM159PT and SUM1315MO2 cell lines

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Multiplexed Single Cell gene expression profile of barcoded SUM159PT cells

Project description:Cancer is a heterogeneous disease, where multiple, phenotypically distinct subpopulations co-exist. Tumour evolution is a result of a complex interplay of genetic and epigenetic factors. To predict the molecular drivers of distinct cancer responses, we apply single-cell lineage tracing (scRNA-Seq of barcoded cells) on a triple-negative breast cancer model. SUM159PT cells infected with a lentiviral barcode library (Perturb-seq Library) were sorted according to the presence of BFP signal, treated or not with paclitaxel (PTX), multiplexed with MULTI-Seq protocol, and then processed by scRNA-Seq.

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Single Cell gene expression and DNA accessibility profile of barcoded SUM159PT cells

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Homo sapiens strain:SUM159PT

Project description:SUM159PT cell line transcriptome

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Isolation of subtype-specific N-Ras responsive genes in basal-like breast cancer cells

Project description:To identify the the N-Ras-controlled genes in basal-like cells, we used shRNA to repress N-RAS in basal-like SUM102PT, SUM149PT and claudin-low SUM159PT cells. We seek the genes regulated only in basal-like, but not in claudin-low cells, to isolate the genes controlled by N-Ras in a breast cancer subtype-specific fashion. We also overexpressed oncogenic form N-Ras(G12D) in these cells in order to compare the genes regulated by wild-type and oncogenic N-Ras. The shRNA silencing and overexpression were conducted by lentiviral infection in the cells, with non-silencing shRNA-infected cells as the controls. The infected cells were then selected in antibiotics for about 5 days before total RNAs were harvested for microarray analysis. N-Ras was silenced by shRNA or oncogenic N-Ras (G12D) was overexpressed in basal-like SUM102PT, SUM149PT and claudin-low SUM159PT cells.

2015-06-06 | E-GEOD-61768 | biostudies-arrayexpress

Single cell lineage tracing reveals clonal dynamics of anti-EGFR therapy resistance in triple negative breast cancer

Project description:We investigate non-genomic mechanisms determining cellular response to EGFR inhibitors in triple negative breast cancer (TNBC). We integrate methods for cellular barcoding and single-cell transcriptomics to enable cell lineage tracing and explore the subclonal evolution of adaptation in an established preclinical model of TNBC in response to incremental concentrations of Afatinib, a second generation EGFR-TKI that irreversibly inhibits both EGFR and HER2. Retrospective lineage tracing data analysis uncovered a pre-existing subpopulation of rare Afatinib-tolerant cells displaying distinct biological features, such as elevated mRNA levels of the IGFBP2 gene. Furthermore, we investigated temporal coordination of transcriptional programs in drug resistant clones with high replication fitness by reordering cells along a pseudotime trajectory. Interestingly, it revealed the activation of biological processes, such as fatty acid metabolism, which have previously been linked to EGFR-TKIs resistance mechanisms.

2024-03-25 | GSE228154 | GEO

Ribosome profiling on SUM159PT cells grown in vitro or in vivo

Project description:SUM159PT cells were grown either in vitro (in culture) or in vivo (mouse), after which RPL10a tagged with GFP was used to perform extraction by immoprecipitation and subsequent ribosome profiling

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Gene expression profile at single cell level of MDAMB468 and CAL51 cell lines

Project description:MDAMB468 and CAL51 are two triple negative breast cancer cell lines. They were sequenced to test the cell mapper algorithm we developed.

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Gene expression profiling of MDA231, BT549, and SUM159PT cells after selumetinib treatment or DUSP4 siRNA knockdown

Project description:MDA231, BT549, and SUM159PT basal-like breast cancer cell lines were transfected with non-targeting siRNA (siCONTROL), siRNA targeting DUSP4 (siDUSP4), or siCONTROL + 4 or 24 hr of 1uM selumetinib. Cells were harvested at 96 hr post-siRNA transfection. Data were Log2 RMA normalized.

2013-09-03 | GSE41816 | GEO

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