Transcriptomics

Dataset Information

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Selective expression of long non-coding RNAs in a breast cancer cell progression model


ABSTRACT: Long non-coding RNAs are emerging as key regulators of cancer cell activities. In this study, our goal was to perform a stringent profiling of breast cancer cell lines that represented a progression series. We used the MCF-10 series, which includes the normal-like MCF-10A, HRAS-transformed MCF-10AT1 (early-stage), and MCF-10CA1a (malignant). We have identified expressed mRNAs and lncRNAs within each cell type. From our analysis, we identified a lncRNA of interest, IGFL2-AS1, which was knocked down in the MCF-10AT1 for validation of function.

ORGANISM(S): Homo sapiens

PROVIDER: GSE98393 | GEO | 2017/05/23

SECONDARY ACCESSION(S): PRJNA384982

REPOSITORIES: GEO

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