ABSTRACT: MCF7 cells exposed in 0.1% hypoxia for 72h and then stained and sorted into CA9+ve and CA9-ve populations and a differential gene expression analysis was performed between the 2 cell populations.
Project description:A gene expression profiles of human oral squamous cell carcinoma lines, HSC-2 and Ca9-22, cultured under hypoxic conditions (1% pO2 for 24 or 48 hours) were compaired with those under normoxic conditions (21% pO2). Six arrays for 2 cell lines in 3 conditions were analyzed.
Project description:Purpose: Study hypoxia induced changes in genome-wide H3K27me3 occupancy Methods: Using the MCF7 breast epithelial adenocarcinoma cell line as a model, we studied epigenomic reprogramming as a function of fluctuating oxygen tension. To this end, we combined chromatin-immunoprecipitation and deep-sequencing analysis to identify H3K27me3-marks in MCF7 cells subjected to changes in oxygenation (i.e. acute hypoxia, chronic hypoxia). Results: H3K27me3-marks showed a rapid global increase at specific sites throughout the genome under hypoxia, both genic and inter-genic. Conclusions: Our data show that oxygen availability dynamically regulates the epigenetic state of the genome. Genome-wide H3K27me3-mark profiles were generated by combining ChIP analysis with deep sequencing using Illumina GAIIx.
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.
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.
Project description:The aim of the experiment was to compare a newly defined population VE-Cadherin+GFP+ to control populations, VE-Cadherin- GFP+ and VE-Cadherin+GFP-.
Project description:Background: Cancers are commonly characterised by hypoxia and also by global reductions in the levels of mature microRNAs. We have examined the hypothesis that hypoxia might mediate this reduction through repressive effects on microRNA biogenesis proteins. Methods: Breast cancer cell lines were exposed to hypoxia and manipulations of hypoxia inducible factor (HIF) and HIF hydroxylase activity. The effects of hypoxia on the mRNA and protein levels of enzymes involved in microRNA biogenesis (Dicer, Drosha, TARPB2, DCGR8, XPO5) was determined by RT PCR and immunoblotting. The effect of hypoxia on microRNAs was determined with microarray studies, RT PCR and reporter assays. Results: In breast cancer lines there was significant reduction of Dicer mRNA and protein levels in cells exposed to hypoxia. This effect was independent of HIF but dependent on the HIF hydroxylase PHD2 and was partly mediated by feedback effects via microRNAs. Furthermore, several other proteins with critical roles in microRNA biogenesis (Drosha, TARBP2 and DCGR8) also showed significant and co-ordinated repression under hypoxic conditions. Despite these substantial alterations no, or modest, changes were observed in mature microRNA production Conclusion: These observations provide further and important interfaces between oxygen availability and gene expression and a potential mechanistic explanation for the reduced levels of microRNAs observed in some cancers. They provide further support for the existence of feedback mechanisms in the regulation of the microRNA biogenesis pathway and the relative stability of microRNAs. MCF7 cells were treated with three different conditions. Treatment-1: MCF7 cells were exposed to hypoxia (0.1% O2) for 48 h and harvested for RNA extraction (n=3). Treatment-2: MCF7 cells were exposed to normoxia for 48 h and harvested for RNA extraction (n=3). Treatment-3: Dicer inhibition in MCF7 cells by transient transfection of siRNAs targeting Dicer. Cells were transfected with 20 nM siRNA duplexes (Shanghai GenePharma Co., Ltd, China), using Lipofectamine 2000 reagent (Invitrogen) following the manufacturerM-bM-^@M-^Ys protocol. A second transfection was carried out after 24 h following the same protocol. Cells were harvested 24 h after the second transfection and used for RNA extraction (n=3). RNA integrity was assessed using the Agilent 2100 Bioanalyzer. Affymetrix miRNA 3.1 Array Strip was used for RNA analysis. This array consisted probe sets unique to human mature and pre-miRNA hairpins. A detailed protocol can be found in the miRNA 3.1 Array Strips technical manual (Affymetrix). In summary, 100-300 ng of total RNA was used to synthesise double stranded cDNA using random hexamers. The cDNA was then amplified to produce antisense cRNA, which was then reverse transcribed in a second cycle of cDNA synthesis. The second cycle incorporates dUTP into the cDNA sequence, which allows it to be fragmented using uracil DNA glycosylase and apurinic/apyrimidic endonuclease I. Following biotinylation, these fragments were hybridised overnight to a Affymetrix miRNA 3.1 array. The arrays were then washed, stained using a fluorescently-labelled antibody, and scanned using a high-resolution scanner. Intensity data were analysed using PartekM-BM-. software (Partek Inc.). Data were normalised by quantile normalisation and log 2 transformed. Differential expression was determined by ANOVA and corrected for false discovery.
Project description:During tumour growth cancer cells are subject to and selected by microenvironmental stress. The selection of such cells allows for continued growth and survival, during hypoxia, acidosis, nutritional deprivation, drug treatment and radiation. However, there is great microenvironmental heterogeneity in every tumour. Must studies of gene regulation in vitro investigate whole cell populations, often by western blotting or mRNA expression. Thus, the individual variability of gene induction that could lead to selection, and basal cell molecular variability on which the selection operates, basic Darwinian principles, are not defined. We previously showed that two distinct populations can often be induced in epithelial tumour cell lines under hypoxia, identified by induction of Carbonic Anhydrase 9 [CA9].Here, we investigated the heterogeneity of breast cancer cells, and the relationship to the CA9 positive population in hypoxia, by using single cell sequencing analysis.