BreastCancer_Control_Micorarays
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00010002250 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:Genotyping array data for breast cancer and matched normal mammary gland samples
| EGAD00010002251 | EGA
Project description:Data from the VLA lyssavirus genotyping microarray. The array platform for this data is GEO accession GPL8066, and consists of 624 oligos representing two viral families. The data set itself consists of 14 arrays, 7 hybridised with RNA from mice brains infected with 7 genotypes of lyssaviruses, 1 hybridised with RNA from normal mouse brain, and 6 hybridised with RNA from coded samples consisting of infected mouse brains or control mouse brains. Keywords: Lyssavirus genotyping microarray
2009-06-09 | GSE14705 | GEO
Project description:In this study, we explored the molecular basis of site-specific metastasis of breast cancer to the lungs in a clinically relevant model based on the JygMC(A) cell line. In this dataset, we include expression data from JygMC(A) primary mammary tumors (carcinoma and EMT-like areas), lung metastases, normal mammary glands and normal lung parenchyma. In total, 36 laser microdissected samples were analyzed. We built a customized NanoString nCounter® Gene Expression Codeset of 104 genes and controls that contained significant embryonic core stem cell genes and EMT-MET markers. This customized assay was performed to target gene expression profiling on the following samples: primary tumor carcinoma, primary tumor EMT, lung metastasis, normal mammary gland and normal lung parenchyma.
2015-11-02 | E-GEOD-63951 | biostudies-arrayexpress
Project description:The mammary gland is a dynamic tissue that mainly develops postnatally under the influence of fluctuating hormone levels. This dataset contains bulk RNAseq data of different mouse mammary gland cell populations (basal, luminal and stromal) that were isolated either during puberty or at different stages of the adult virgin estrous cycle. These data are of interest to researchers in the mammary gland and breast cancer biology field as they allow studies on spatiotemporal, lineage specific changes in gene expression.
2022-09-20 | GSE213451 | GEO
Project description:Comparison of Genotyping using pooled DNA samples (Allelotyping) and Individual Genotyping using the Affymetrix Genome-Wide Human SNP Array 6.0 In this study, data from 100 DNA samples individually genotyped with the Affymetrix Genome-Wide Human SNP Array 6.0 were used to estimate the error of the pooling approach by comparing the results with those obtained using the same array type but DNA pools each composed of 50 of the same samples. Newly developed and established methods for signal intensity correction were applied. Furthermore, the relative allele intensity signals (RAS) obtained by allelotyping were compared to the corresponding values derived from individual genotyping. Similarly, differences in RAS values between pools were determined and compared.
2013-06-22 | GSE48190 | GEO
Project description:The purpose of this study is to obtain comprehensive gene expression profiles in breast cancer. Mammary gland cells were specifically isolated from 433 clinical tissue samples by laser capture microdissection (LCM). Total RNAs were extracted from LCM captured samples. We investigated gene expression profiles in 417 patients with breast cancer and 16 non-tumor tissues as a normal control using an Affymetrix GeneChip.
2014-09-16 | GSE54002 | GEO
Project description:MicroRNAs are widely expressed in the normal pubertal mammary gland and orchestrate mammary gland development by regulating cell proliferation, differentiation, apoptosis, and metabolism. Although human Growth hormone(hGH) plays fundamental roles in normal mammary gland development and elevated autocrine hGH levels have been documented to contribute to breast cancer, whether hGH should influence the expression pattern and the functional roles of miRNAs in this context remain unknown.This study explores the effects of autocrine hGH on microRNA expression in MCF7 cell.
2014-12-31 | GSE58845 | GEO
Project description:The main goal of this experiment was to contrast the gene expression of mammary gland tissues at three different tumoral stages : M/D-driven mammary gland small tumors vs mammary gland tissues that have been exposed to M/D but they did not develop a tumor (hyperplastic mammary gland) vs mammary gland tissues that were NOT expossed to M/D (normal mammary gland). Expression profile of 18 mice mammary gland tissues at 3 differents neoplastic stages before and after M/D expossure
2020-06-22 | GSE151197 | GEO
Project description:The purpose of this study is to obtain comprehensive gene expression profiles in breast cancer. Mammary gland cells were specifically isolated from 433 clinical tissue samples by laser capture microdissection (LCM). Total RNAs were extracted from LCM captured samples. We investigated gene expression profiles in 417 patients with breast cancer and 16 non-tumor tissues as a normal control using an Affymetrix GeneChip. Mammary gland cells were captured from clinical tissues of breast cancer patient by LCM. Gene expression profilings for 417 tumor and 16 non-tumor samples were acquired using GeneChip Human Genome U133 Plus 2.0 (Affymetrix, Santa Clara, CA). Microarray datasets were normalized and transformed to log2 values using robust multi-array average (RMA) method with R statistical software and BioConductor package.
2014-09-16 | E-GEOD-54002 | biostudies-arrayexpress
Project description:Pregnancy is the major modulator of mammary gland activity. It induces a tremendous expansion of the mammary epithelium and the generation of alveolar structures for milk production. Anecdotal evidence from multiparous humans indicates that the mammary gland may react less strongly to the first pregnancy than it does to subsequent pregnancies. Here we verify that the mouse mammary gland responds more robustly to a second pregnancy, indicating that the gland retains a long-term memory of pregnancy. A comparison of genome-wide profiles of DNA methylation in isolated mammary cell types revealed substantial and long lasting alterations. The majority of these alterations affect sites occupied by the Stat5a transcription factor and mark specific genes that are upregulated during pregnancy. We postulate that the epigenetic memory of a first pregnancy primes the activation of gene expression networks that promote mammary gland function in subsequent reproductive cycles. More broadly, our data indicate that physiological experience can broadly alter epigenetic states, functionally modifying the capacity of the affected cells to respond to later stimulatory events. Mammary gland cells (six distinct cell types) from nulliparous and parous female mice were FACS-sorted using a combination of cell surface markers. Genomic DNA was bisulfite converted and used to obtain genome-wide DNA methylation profiles. The current work focuses on the analysis of the first 12 samples (GSM1646785-96) and uses the other two samples to confirm some properties of the analysis results based on samples 1-12. Consequently, samples GSM1646797, GSM1646798 were analyzed in a much more limited manner compared to the other 12 samples, generating two plots included in the associated manucript.
2015-05-15 | E-GEOD-67386 | biostudies-arrayexpress