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Identification of genes are regulated by AURKA at transcription level

ABSTRACT: Purpose: AURKA plays an important role in breast cancer development. Exploring the gene expression profiles regulated by AURKA will facilitate to understand the mechanism which is responsible for AURKA induced breast cancer development. Results: We found that 350 genes were significantly up-regulated during AURKA overexpression in MCF-10A cells, 346 genes were significantly down-regulated during AURKA overexpression in MCF-10A cells. Conclusions: Our study indicated that 696 differentially expressed genes might contribute to AURKA induced breast cancer development.

ORGANISM(S): Homo sapiens

PROVIDER: GSE57931 | GEO | 2015/10/28

SECONDARY ACCESSION(S): PRJNA248443

REPOSITORIES: GEO

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Identification of genes are regulated by AURKA at transcription level

Project description:Purpose: AURKA plays an important role in breast cancer development. Exploring the gene expression profiles regulated by AURKA will facilitate to understand the mechanism which is responsible for AURKA induced breast cancer development. Results: We found that 350 genes were significantly up-regulated during AURKA overexpression in MCF-10A cells, 346 genes were significantly down-regulated during AURKA overexpression in MCF-10A cells. Conclusions: Our study indicated that 696 differentially expressed genes might contribute to AURKA induced breast cancer development. MCF-10A cells overexpressed AURKA or the empty vector were subjected to RNA extraction. The resulted RNA samples were performed RNA-sequencing analyses of gene expression profiles.

2015-10-28 | E-GEOD-57931 | biostudies-arrayexpress

RNA Sequencing of two Breast Cancer Cell Lines in Comparison to Healthy Epithelial Breast Cells

Project description:We studied genes, that are differentially expressed between malignant and normal breast tissue, to find weak spots for anti-cancer therapy development. RNA sequencing of three cell lines was performed: MCF-7 (epithelial breast cancer cell line), BCC (primary breast tumour cell line) and MCF-10A (epithelial breast cell line).

2023-01-30 | GSE223718 | GEO

Proteomic characterization of MDA-MB-231 and MCF-10A breast cells exposed to 1 mT 50 Hz ELF for 4 hours

Project description:MDA-MB-231 breast cancer cells and MCF-10A breast cells were exposed to 1 mT 50 Hz extremely low-frequency magnetic field (ELF-MF) for 4 hours

2023-02-17 | PXD040120 | JPOST Repository

Chromatin interaction analysis reveals changes in small chromosome and telomere clustering between epithelial and breast cancer cells

Project description:Background: Higher-order chromatin structure is often perturbed in cancer and other pathological states. Although several genetic and epigenetic differences have been charted between normal and breast cancer tissues, changes in higher-order chromatin organization during tumorigenesis have not been fully explored. To probe the differences in higher-order chromatin structure between mammary epithelial and breast cancer cells, we performed Hi-C analysis on MCF-10A mammary epithelial and MCF-7 breast cancer cell lines. Results: Our studies reveal that the small, gene-rich chromosomes chr16 through chr22 in the MCF-7 breast cancer genome display decreased interaction frequency with each other compared to the inter-chromosomal interaction frequency in the MCF-10A epithelial cells. Interestingly, this finding is associated with a higher occurrence of open compartments on chr16-22 in MCF-7 cells. Pathway analysis of the MCF-7 up-regulated genes located in altered compartment regions on chr16-22 reveals pathways related to repression of WNT signalling. There are also differences in intra-chromosomal interactions between the cell lines; telomeric and sub-telomeric regions in the MCF-10A cells display more frequent interactions than are observed in the MCF-7 cells. Conclusions: We show evidence of an intricate relationship between chromosomal organization and gene expression between epithelial and breast cancer cells. Importantly, this work provides a genome-wide view of higher-order chromatin dynamics and a resource for studying higher-order chromatin interactions in two cell lines commonly used to study the progression of breast cancer. Hi-C experiments were conducted in MCF-7 and MCF-10A parental cells. The RNA-seq data associated with this study is deposited under the GEO accession number GSE71862.

2015-09-02 | E-GEOD-66733 | biostudies-arrayexpress

Chromatin interaction analysis reveals changes in small chromosome and telomere clustering between epithelial and breast cancer cells

2015-09-02 | GSE66733 | GEO

Small RNAs subcellular distribution in breast cancer and normal cell lines

Project description:We detect the small RNAs subcellular distribution in breast cancer cell lines MCF-7 and MDA-MB-231, and normal cell line MCF-10A.

2009-06-16 | GSE15937 | GEO

Identification of genes are regulated by AURKA at transcription level

Project description:To gain insight into genes regulated by AURKA, AURKA was knocked down (KD) in MDA-MB-231 cells

2022-03-01 | GSE128428 | GEO

Expression data of BRCA1 shRNA and Rad51 shRNA knockdown and control shRNA in MCF-10A cells

Project description:Homologous recombination-mediated DNA repair deficiency (HRD) predisposes to cancer development, but also provides therapeutic opportunities. Here, we identified an HRD gene signature that robustly predicted HRD status. Unexpectedly, concurrent loss of PTEN in BRCA1-deficient cells might extensively rewire the HR repair network and confer resistance to PARP inhibitor, partially through over-expression of TTK. We used the HRD gene signature as a drug discovery tool and found several PARP-inhibitor-synergizing agents through the connectivity map. Thus gene expression profiling can be used to define the functional status of the HR repair network providing prognostic and therapeutic information. Various shRNAs that target genes involved in homologous recombination (HR) were transfected in MCF-10A non-transformed breast cells lines. Stable HR gene knockdown MCF-10A cells were seeded 200000 at 10 cm plate. Cells were harvested after 48 hours culturing and used for gene expression profiling. The shRNAs that target PTEN or BRCA1 genes were transfected in MCF-10A non-transformed breast cell line by lentiviral particles. Stable BRCA1 and PTEN knockdown MCF-10A cells were selected. Scrambled control shRNA-transfected MCF-10A cells were applying as control. All knockdown and control MCF-10A cells were seeded with 2 x 10^5 cells at 10 cm culture plate. Cells were cultured in MCF-10A medium and harvested after 48 hours culturing. mRNA was extracted from collected cells and performing gene expression profiling. Four biological replicates were applied. Four biological replicates were applied.

2014-01-24 | E-GEOD-54266 | biostudies-arrayexpress

Expression data of ATM, ATR, CHK1, CHK2, and 53BP1 shRNA knockdown and control shRNA in MCF-10A cells

Project description:Homologous recombination-mediated DNA repair deficiency (HRD) predisposes to cancer development, but also provides therapeutic opportunities. Here, we identified an HRD gene signature that robustly predicted HRD status. Unexpectedly, concurrent loss of PTEN in BRCA1-deficient cells might extensively rewire the HR repair network and confer resistance to PARP inhibitor, partially through over-expression of TTK. We used the HRD gene signature as a drug discovery tool and found several PARP-inhibitor-synergizing agents through the connectivity map. Thus gene expression profiling can be used to define the functional status of the HR repair network providing prognostic and therapeutic information. Various shRNAs that target genes involved in homologous recombination (HR) were transfected in MCF-10A non-transformed breast cells lines. Stable HR gene knockdown MCF-10A cells were seeded 200000 at 10 cm plate. Cells were harvested after 48 hours culturing and used for gene expression profiling. The shRNAs that target ATM, ATR, CHK1, CHK2, and 53BP1 genes were transfected in MCF-10A non-transformed breast cell line by lentiviral particles and selected stable ATM, ATR, CHK1, CHK2, and 53BP1 knockdown MCF-10A cells. Scrambled control shRNA-transfected and wild type MCF-10A cells were applying as control. All knockdown and control MCF-10A cells were seeded with 2 x 10^5 cells at 10 cm culture plate. Cells were cultured in MCF-10A medium and harvested after 48 hours culturing. mRNA was extracted from collected cells and performing gene expression profiling. Three biological replicates were applied.

2014-01-24 | E-GEOD-54268 | biostudies-arrayexpress

Expression data of Brti1 shRNA knockdown and control shRNA in MCF-10A cells

Project description:Homologous recombination-mediated DNA repair deficiency (HRD) predisposes to cancer development, but also provides therapeutic opportunities Here, we identified an HRD gene signature that robustly predicted HRD status Unexpectedly, concurrent loss of PTEN in BRCA1-deficient cells might extensively rewire the HR repair network and confer resistance to PARP inhibitor, partially through over-expression of TTK We used the HRD gene signature as a drug discovery tool and found several PARP-inhibitor-synergizing agents through the connectivity map Thus gene expression profiling can be used to define the functional status of the HR repair network providing prognostic and therapeutic information Various shRNAs that target genes involved in homologous recombination (HR) were transfected in MCF-10A non-transformed breast cells lines Stable HR gene knockdown MCF-10A cells were seeded 200000 at 10 cm plate Cells were harvested after 48 hours culturing and used for gene expression profiling The shRNA that target Brit1 genes was transfected in MCF-10A non-transformed breast cell line by lentiviral particles and selected stable Brit1 knockdown MCF-10A cells. Scrambled control shRNA-transfected MCF-10A cells were applying as control. Both stable Brit1 knockdown and control MCF-10A cells were seeded with 2 x 10^5 cells at 10 cm culture plate. Cells were cultured in MCF-10A medium and harvested after 48 hours culturing. mRNA was extracted from collected cells and performing gene expression profiling. Three or four biological replicates were applied.

2014-01-24 | E-GEOD-54264 | biostudies-arrayexpress

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