Gene expression in human breast cancer cell lines regulated by HIC1 gene
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Chen Guangcun
PROVIDER: S-ECPF-GEOD-50061 | biostudies-other |
REPOSITORIES: biostudies-other
Similar Datasets
Project description:Numerous epithelial-to-mesenchymal transition (EMT)-promoting transcription factors have been implicated in tumorigenesis or metastasis, as well as chemoresistance of cancer. However, the underlying mechanism mediating these processes is unclear. Here we report that Foxq1, a forkhead box-containing transcription factor and EMT-inducing gene, promotes stemness traits and chemoresistance in mammary epithelial cells. We identify Twist1, Zeb2, and PDGFRα and β as Foxq1 downstream targets using an expression profiling assay. Further studies reveal that PDGFRα and β can be directly regulated by Foxq1, or indirectly through Twist1. Knockdown of both PDGFRα and β shows more significant effects on reversing Foxq1-promoted oncogenesis in vitro and in vivo than knockdown by either PDGFRα or β alone. PDGFRβ, but not PDGFRα, shows potent effects in reversing Foxq1-promoted stemness traits. Moreover, pharmacological inhibition or gene silencing of PDGFRs sensitize mammary epithelial cells to chemotherapeutic agents in vitro and in vivo. These findings collectively indicate PDGFRs as critical mediators underlying breast cancer tumorigenesis and chemoresistance driven by EMT promoting genes, which have potential clinical implications for cancer therapy. The purpose of these experiments is to investigate the downstream targets of several transcriptional factors including Foxq1 and IRX5. Another purpose is to compare the expression pattern between basal-like breast cancer cells including MDA-MB231, SUM159 and SUM1315.
| S-ECPF-GEOD-46834 | biostudies-other
Project description:Recurrent mutations in histone modifying enzymes in multiple cancer types imply key roles in tumorigenesis. However, the functional relevance of these mutations remains unknown. Here we show that the JARID1B histone H3 lysine 4 demethylase is frequently amplified and overexpressed in luminal breast tumors and a somatic point mutation of JARID1B leads to the gain of luminal-specific gene expression programs. Downregulation of JARID1B in luminal breast cancer cells induces the expression of basal cell-specific genes and growth arrest, which is partially rescued by the inhibition of TGFBR thereby indicating a key role for TGFb signaling. Integrated genome-wide analysis of JARID1B chromatin binding, histone H3 lysine trimethyl (H3K4me3) and dimethyl (H3K4me2) patterns, and gene expression profiles in luminal and basal-like breast cancer cells suggest a key role for JARID1B in luminal cell-specific gene expression programs. A significant fraction of JARID1B binding-sites overlaps with CTCF in both luminal and basal-like breast cancer cells. CTCF also co-immunoprecipitates with JARID1B and it may influence its histone demethylase (HDM) activity as the H3K4me3/me2 ratio is lower at the CTCF-overlapping compared to JARID1B-unique sites. Additionally, a heterozygous JARID1B missense mutation (K1435R) in the HCC2157 basal-like breast cancer cell line is associated with unique JARID1B chromatin-binding and gene expression patterns implying gain of luminal features. In line with this, exogenous expression of this mutant in basal-like breast cancer cells leads to a gain of JARID1B binding at many luminal-specific genes. A PARADIGM score reflecting JARID1B activity in luminal breast cancer cells is associated with poor clinical outcome in patients with luminal breast tumors. Together, our data imply that JARID1B is a luminal lineage-driving oncogene and that its therapeutic targeting may represent a novel therapeutic strategy in treatment-resistant luminal breast tumors. RNA-Seq in breast cancer cell-lines transfected with JARID1B/CTCF/control siRNA. 50 cycles of sequencing on Illumina platform.
| S-ECPF-GEOD-45732 | biostudies-other
Project description:Breast cancer (BC) is the most common leading cause of cancer-related death in women worldwide. Gene expression profiling analysis for human BCs has been studied previously. However, co-expression analysis for BC cell lines is still devoid to date. The aim of the study was to identify key pathways and hub genes that may serve as a biomarker for BC and uncover potential molecular mechanism using weighted correlation network analysis. We analyzed microarray data of BC cell lines (GSE 48213) listed in the Gene Expression Omnibus database. Gene co-expression networks were used to construct and explore the biological function in hub modules using the weighted correlation network analysis algorithm method. Meanwhile, Gene ontology and KEGG pathway analysis were performed using Cytoscape plug-in ClueGo. The network of the key module was also constructed using Cytoscape. A total of 5000 genes were selected, 28 modules of co-expressed genes were identified from the gene co-expression network, one of which was found to be significantly associated with a subtype of BC lines. Functional enrichment analysis revealed that the brown module was mainly involved in the pathway of the autophagy, spliceosome, and mitophagy, the black module was mainly enriched in the pathway of colorectal cancer and pancreatic cancer, and genes in midnightblue module played critical roles in ribosome and regulation of lipolysis in adipocytes pathway. Three hub genes CBR3, SF3B6, and RHPN1 may play an important role in the development and malignancy of the disease. The findings of the present study could improve our understanding of the molecular pathogenesis of breast cancer.
| S-EPMC6639467 | biostudies-literature
Project description:Nine malignant breast epithelial cell lines and 3 normal breast cell lines were examined for stress fiber formation and expression of TPM1 isoform-specific RNAs and proteins. Stress fiber formation was strong (++++) in the normal cell lines and varied among the malignant cell lines (negative to +++). Although TPM1? and TPM1? were the dominant transcripts of TPM1, there was no clear evidence for TPM1? protein expression. Four novel human TPM1 gene RNA isoforms were discovered (?, ?, ?, and ?), which were not identified in adult and fetal human cardiac tissues. TPM1? was the most frequent isoform expressed in the malignant breast cell lines, and it was absent in normal breast epithelial cell lines. By western blotting, we were unable to distinguish between TPM1?, ?, and ? protein expression, which were the only TPM1 gene protein isoforms potentially expressed. Some malignant cell lines demonstrated increased or decreased expression of these isoforms relative to the normal breast cell lines. Stress fiber formation did not correlate with TPM1? RNA expression but significantly and inversely correlated with TPM1? and TPM1? expression, respectively. The exact differences in expression of these novel isoforms and their functional properties in breast epithelial cells will require further study.
| S-EPMC4480939 | biostudies-other
Project description:Basal gene expression of breast cancer cell lines Basal gene expression of breast cancer cell lines
| S-ECPF-GEOD-24578 | biostudies-other
Project description:One area of great importance in breast cancer (BC) research is the study of gene expression regulated by both estrogenic and antiestrogenic agents. Although many studies have been performed in this area, most of them have only addressed the effects of 17β-estradiol (E2) and tamoxifen (TAM) on MCF7 cells. This study aimed to determine the effect of low doses of E2 and TAM on the expression levels of 84 key genes, which are commonly involved in breast carcinogenesis, in four BC cell lines differentially expressing estrogen receptor (ER) α and HER2 (MCF7, T47D, BT474, and SKBR3). The results allowed us to determine the expression patterns modulated by E2 and TAM in ERα+ and ERα- cell lines, as well as to identify differences in expression patterns. Although the MCF7 cell line is the most frequently used model to determine gene expression profiles in response to E2 and TAM, the changes in gene expression patterns identified in ERα+ and ERα- cell lines could reflect distinctive properties of these cells. Our results could provide important markers to be validated in BC patient samples, and subsequently used for predicting the outcome in ERα+ and ERα- tumors after TAM or hormonal therapy. Considering that BC is a molecularly heterogeneous disease, it is important to understand how well, and which cell lines, best model that diversity.
| S-EPMC5614746 | biostudies-literature
Project description:Microarrays were used to detail the global programme of gene expression underlying breast cancer cell lines. We identified two main groups of luminal-type and basal-type breast cancer cell lines by unsupervised Pearson correlation of breast cancer cell lines and intrinsic subtyping. Supervised analysis on spindle versus non-spindle breast cancer cell lines identified a spindle cell signature of 1,144 genes identifying all spindle, basal-type, E-cadherin methylated breast cancer cell lines. Breast cancer cell lines were grown to optimal cell densities for RNA extraction and hybridization on Affymetrix microarrays.
| S-ECPF-GEOD-16795 | biostudies-other
Project description:Multiple breast cancer cell lines with different metastatic capabilities The goal of this study is to identify metastasis related genes in breast cancer We obtained RNA from each cell line using regular Trizol and RNA purification kit. Keywords: Expression profiling by array Multiple breast cancer cell lines with different metastatic capabilities
| S-ECPF-GEOD-25972 | biostudies-other
Project description:BackgroundMethylation of CpG islands within the DNA promoter regions is one mechanism that leads to aberrant gene expression in cancer. In particular, the abnormal methylation of CpG islands may silence associated genes. Therefore, using high-throughput microarrays to measure CpG island methylation will lead to better understanding of tumor pathobiology and progression, while revealing potentially new biomarkers. We have examined a recently developed high-throughput technology for measuring genome-wide methylation patterns called mTACL. Here, we propose a computational pipeline for integrating gene expression and CpG island methylation profiles to identify epigenetically regulated genes for a panel of 45 breast cancer cell lines, which is widely used in the Integrative Cancer Biology Program (ICBP). The pipeline (i) reduces the dimensionality of the methylation data, (ii) associates the reduced methylation data with gene expression data, and (iii) ranks methylation-expression associations according to their epigenetic regulation. Dimensionality reduction is performed in two steps: (i) methylation sites are grouped across the genome to identify regions of interest, and (ii) methylation profiles are clustered within each region. Associations between the clustered methylation and the gene expression data sets generate candidate matches within a fixed neighborhood around each gene. Finally, the methylation-expression associations are ranked through a logistic regression, and their significance is quantified through permutation analysis.ResultsOur two-step dimensionality reduction compressed 90% of the original data, reducing 137,688 methylation sites to 14,505 clusters. Methylation-expression associations produced 18,312 correspondences, which were used to further analyze epigenetic regulation. Logistic regression was used to identify 58 genes from these correspondences that showed a statistically significant negative correlation between methylation profiles and gene expression in the panel of breast cancer cell lines. Subnetwork enrichment of these genes has identified 35 common regulators with 6 or more predicted markers. In addition to identifying epigenetically regulated genes, we show evidence of differentially expressed methylation patterns between the basal and luminal subtypes.ConclusionsOur results indicate that the proposed computational protocol is a viable platform for identifying epigenetically regulated genes. Our protocol has generated a list of predictors including COL1A2, TOP2A, TFF1, and VAV3, genes whose key roles in epigenetic regulation is documented in the literature. Subnetwork enrichment of these predicted markers further suggests that epigenetic regulation of individual genes occurs in a coordinated fashion and through common regulators.
| S-EPMC2903569 | biostudies-literature
Project description:This SuperSeries is composed of the following subset Series: GSE31603: Human breast cancer cell lines: vehicle vs. BMP4 incubation GSE31604: Human breast cancer cell lines: vehicle vs. BMP7 incubation Refer to individual Series
| S-ECPF-GEOD-31605 | biostudies-other