Ontology highlight
ABSTRACT:
PROVIDER: PRJNA418865 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR6301040_1.fastq.gz | Fastqsanger.gz | |||
| SRR6301040_2.fastq.gz | Fastqsanger.gz | |||
| SRR6301050_1.fastq.gz | Fastqsanger.gz | |||
| SRR6301050_2.fastq.gz | Fastqsanger.gz | |||
| SRR6301060_1.fastq.gz | Fastqsanger.gz |
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Project description:The MCF7 cell line represents a typical epithelial cell line and corresponds to luminal A breast cancer (estrogen-responsive). Overexpression of HAX1 was demonstrated in MCF7 cell line as well as in breast cancer samples, suggesting a role of HAX1 in breast cancer progression. HAX1 is a 32-kDa protein of unknown structure, involved in the regulation of apoptosis, cell migration and calcium homeostasis. It was also shown to bind mRNA. Scarcity of structural elements and the presence of a disordered region, inferred from HAX1 sequence, suggests that HAX1 is intrinsically disordered, and may have many protein-protein interactions. So far about 40 different proteins were characterized as HAX1 protein partners. In the present work, applying immunoaffinity chromatography coupled with mass spectrometry, we identified new candidates for HAX1 binding partners in breast cancer cells. Newly identified proteins may be divided into three, partially overlapping groups: cytoskeleton-associated proteins, GTP-ase associated proteins and RNA-binding proteins. These results imply that HAX1 has more protein partners than hitherto described. Subsequent analysis of these interactions may shed some light into molecular mechanisms of HAX1 functions.
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Project description:Estrogen receptor α (ERα) is an important biomarker of breast cancer severity and a common therapeutic target. Recent studies have demonstrated that in addition to its role in promoting proliferation, ERα also protects tumors against metastatic transformation. Current therapeutics antagonize ERα and interfere with both beneficial and detrimental signaling pathways stimulated by ERα. The goal of this study is to uncover the dynamics of coding and non-coding RNA (microRNA) expression in response to estrogen stimulation and identify potential therapeutic targets that more specifically inhibit ERα-stimulated growth and survival pathways without interfering with its protective features. To achieve this, we exposed MCF7 cells (an estrogen receptor positive model cell line for breast cancer) to estrogen and prepared a time course of paired mRNA and miRNA sequencing libraries at ten time points throughout the first 24 hours of the response to estrogen. From these data, we identified three primary expression trendsâ??transient, induced, and repressedâ??that were each enriched for genes with distinct cellular functions. Integrative analysis of paired mRNA and microRNA temporal expression profiles identified miR-503 as the strongest candidate master regulator of the estrogen response, in part through suppression of ZNF217â??an oncogene that is frequently amplified in cancer. We confirmed experimentally that miR-503 directly targets ZNF217 and that over-expression of miR-503 suppresses breast cancer cell proliferation. Overall, these data indicate that miR-503 acts as a potent estrogen-induced tumor suppressor microRNA that opposes cellular proliferation and has promise as a therapeutic for breast cancer. More generally, our work provides a systems-level framework for identifying functional interactions that shape the temporal dynamics of gene expression. Quantification of mRNAs in MCF7 cells responding to estrogen following a period of estrogen starvation. Three independent biological replicates (30 samples: 3 replicates x 10 time points) of MCF7 cells were exposed to 10nM Estradiol for 0, 1, 2, 3, 4, 5, 6, 8, 12 , or 24 hours, and total RNA was extracted from the samples. Total RNA was used to generate paired RNA and miRNA sequencing. RNA libraries were prepared using an Illumina TruSeq stranded mRNA library preparation kit.
2016-08-19 | E-GEOD-78167 | biostudies-arrayexpress
Project description:Estrogen receptor α (ERα) is an important biomarker of breast cancer severity and a common therapeutic target. Recent studies have demonstrated that in addition to its role in promoting proliferation, ERα also protects tumors against metastatic transformation. Current therapeutics antagonize ERα and interfere with both beneficial and detrimental signaling pathways stimulated by ERα. The goal of this study is to uncover the dynamics of coding and non-coding RNA (microRNA) expression in response to estrogen stimulation and identify potential therapeutic targets that more specifically inhibit ERα-stimulated growth and survival pathways without interfering with its protective features. To achieve this, we exposed MCF7 cells (an estrogen receptor positive model cell line for breast cancer) to estrogen and prepared a time course of paired mRNA and miRNA sequencing libraries at ten time points throughout the first 24 hours of the response to estrogen. From these data, we identified three primary expression trendsâ??transient, induced, and repressedâ??that were each enriched for genes with distinct cellular functions. Integrative analysis of paired mRNA and microRNA temporal expression profiles identified miR-503 as the strongest candidate master regulator of the estrogen response, in part through suppression of ZNF217â??an oncogene that is frequently amplified in cancer. We confirmed experimentally that miR-503 directly targets ZNF217 and that over-expression of miR-503 suppresses breast cancer cell proliferation. Overall, these data indicate that miR-503 acts as a potent estrogen-induced tumor suppressor microRNA that opposes cellular proliferation and has promise as a therapeutic for breast cancer. More generally, our work provides a systems-level framework for identifying functional interactions that shape the temporal dynamics of gene expression. Quantification of miRNAs in MCF7 cells responding to estrogen following a period of estrogen starvation. Three independent biological replicates (30 samples: 3 replicates x 10 time points) of MCF7 cells were exposed to 10nM Estradiol for 0, 1, 2, 3, 4, 5, 6, 8, 12 , or 24 hours, and total RNA was extracted from the samples. Total RNA was used to generate paired RNA and miRNA sequencing. The miRNA libraries were prepared using the Bioo Scientific NextFLEX v2 library preparation kit.
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