Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

47 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcription profiling of mouse normal mammary gland epithelial populations: basal/myoepithelial, luminal estrogen receptor negative (ER-) and luminal estrogen receptor positive (ER+) cells

ABSTRACT: The goal of the experiment was to carry out a transcriptome analysis of the three main epithelial cell populations of the mouse mammary gland, the basal/myoepithelial, luminal estrogen receptor negative (ER-) and luminal estrogen receptor positive (ER+) cells, to identify cell-type specific differences in gene expression. Three replicates arrays were carried out for each of the three populations (a total of nine arrays). Each replicate was a genuine biological replicate from RNA harvested from completely independent cell preparations. Each sample was isolated from preparations of mammary epithelium derived fourth mammary fat pads of 8 * 10 week old virgin female FVB mice. Each preparation was from a pool of 10 * 20 animals (20 * 40 fat pads).

ORGANISM(S): Mus musculus

SUBMITTER: Anita Grigoriadis

PROVIDER: E-TABM-683 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Publications

Transcriptome analysis of mammary epithelial subpopulations identifies novel determinants of lineage commitment and cell fate.

Kendrick Howard H Regan Joseph L JL Magnay Fiona-Ann FA Grigoriadis Anita A Mitsopoulos Costas C Zvelebil Marketa M Smalley Matthew J MJ

BMC genomics 20081208

<h4>Background</h4>Understanding the molecular control of cell lineages and fate determination in complex tissues is key to not only understanding the developmental biology and cellular homeostasis of such tissues but also for our understanding and interpretation of the molecular pathology of diseases such as cancer. The prerequisite for such an understanding is detailed knowledge of the cell types that make up such tissues, including their comprehensive molecular characterisation. In the mammar ...[more]

PMID: 19063729

Similar Datasets

Transcription profiling of mouse mammary cell subpopulations isolated by flow cytometry, on the basis of staining with antibodies against CD45, CD49f, Sca-1 and the 33A10 antigen

Project description:We have carried out microarray-based gene expression analysis of cell subpopulations isolated by flow cytometry, on the basis of staining with antibodies against CD45, CD49f, Sca-1 and the 33A10 antigen, from freshly prepared mouse mammary glands. RNA isolated from cell populations was co-hybridised with control mouse RNA on to an in-house (Breakthrough Breast Cancer Centre) cDNA mouse microarray containing 13825 features (NIA 15K Mouse cDNA clone set). LIMMA analysis was used to analyse data and determine changes in RNA expression levels.

2007-11-20 | E-MEXP-423 | biostudies-arrayexpress

Targeting PyMT oncogene to diverse mammary cell populations enhances tumor heterogeneity and generates rare breast cancer subtypes

Project description:Generating a new mouse model for breast cancer heterogenaity. We use lentiviral infection to integrate the sporatically transforming EF1α-PyMT10C or Muc-PyMT10C into mouse mammary epithelial cell genomes. We then transplant those cells into cleared mammary fat pads of recipient mice, allowing tumors to develop from luminal , myoepithelial, stem and progenitor cell lineages. We developed a wide variety of tumors including rare histologies such as squamous, tubular, spindloid and lipid rich. We used microarray analysis to compare our mouse model with a microarray analysis of 9 established mouse models (Herschkowitz, J.I. et al. Genome Biology, 2007). Heirarchal clustering was used to establish the molecular subtype of tumors developed through the lentiviral-PyMT mouse model. In addition, micrarray analysis was used in conjunction with GeneSifter and GO ontology to identify unique pathways for each of the rare tumor types 43 total microarrays were generated from lentiviral-PyMT tumors, MMTV-PyMT transgenic tumors, and embryonic samples . Nine samples were two color arrays run at UNC microarray facility, while 34 were one color arrays run at Huntsman Cancer Instutite. The two color arrays were treated as one color arrays, we used the Cy3 intensity data for analysis. These data were merged and normalized (quantile and combat) with previously published arrays from UNC. Data were filtered on an intrinsic gene set developed in 2007 (Herschkowitz, J.I. et al. Genome Biology, 2007) and clustered using euclidian distance metrics This GEO submission consists of the 34 one color arrays run at Huntsman Cancer Instutite. The nine two color arrays run at UNC microarray facility are not included.

2012-08-09 | E-GEOD-40001 | biostudies-arrayexpress

Murine Mammary fat pad on high fat diet

Project description:Younger age and obesity increase the incidence and rates of metastasis of triple-negative breast cancer (TNBC), an aggressive subtype of breast cancer. The tissue microenvironment, specifically the extracellular matrix (ECM), is known to promote tumor invasion and metastasis. We sought to characterize the effect of both age and obesity on the ECM of mammary fat pads. We used a diet-induced obesity (DIO) model where 10-week-old female mice were fed a high-fat diet (HFD) for 16 weeks or a control chow diet (CD) where time points were every 4 weeks to monitor age and obesity HFD progression. We isolated the mammary fat pads to characterize the ECM at each time point. Utilizing proteomics, we found that the early stages of obesity were sufficient to induce distinct differences in the ECM composition of mammary fat pads that promote TNBC cell invasion. ECM proteins previously implicated in driving TNBC invasion Collagen IV and Collagen VI, were enriched with weight gain. Together these data implicate ECM changes in the primary tumor microenvironment as mechanisms by which age and obesity contribute to breast cancer progression.

2024-06-06 | PXD050250 | Pride

NormalMouseMammaryStemGeneSignature_MSmalley

Project description:The aim of the experiment was to produce a mammary stem cell gene signature based on very high purity isolation of mouse mammary stem cells. Gene expression in the stem cells would be compared to gene expression in other cell types from the mammary epithelium to identify genes which may be important for regulation of mammary stem cell function.

2014-11-01 | E-MTAB-2741 | biostudies-arrayexpress

EZH2 controls mammary differentiation independently of its methyltransferase activity through controlling genomic STAT5 access

Project description:Mammary development is characterized by the proliferation and progressive differentiation of alveolar epithelium during pregnancy, culminating in lactation. These processes are largely controlled by hormones through transcription factors. We now explore the contributions of histone methyltransferases, which establish H3K27me3 marks, in the temporally-regulated differentiation of mammary epithelium. Loss of EZH2, but not EZH1, resulted in precocious mammary differentiation, which was facilitated by STAT5 binding to specific target genes and their activation. Mammary stem cells were not compromised in the absence of EZH2. Genome-wide H3K27me3 patterns remained intact in the absence of EZH2. Mammary-specific loci were devoid of H3K27me3 marks in mammary progenitor and mature cells, suggesting no regulatory role for this repressive mark. Lastly, the combined absence of EZH1 and EZH2 inhibited the formation of alveoli. Taken together, EZH2 controls temporally-restricted differentiation of mammary epithelium through H3K27me3-independent mechanisms. mRNA-seq and ChIP-seq in MMTV-Cre (Control), E1-/- (E1KO), E1+/-;E2f/f;control (E1+/-E2KO) and Ezh2f/f;control (E2KO) mammary gland tissues or MECs (purified mammary epithelial cells). H3K27me3 and STAT5 ChIP-seqs in mammary tissues at p13; H3K4me3 ChIP-seq in MECs (mammary epithelial cells) at p13; RNA-seqs at mature virgin (with/without prolactin injection), p13 and p18 mammary tissues.

2013-12-31 | E-GEOD-52016 | biostudies-arrayexpress

RNA sequencing of neutrophils residing in bone marrow, peripheral blood and lung

Project description:Generation of organ-infiltrating neutrophils occurs in hematopoietic tissues and organs, such as bone marrow and spleen, in response to tumor- and host-derived factors. The de novo expanded neutrophils then egress from hematopoietic sites, circulate through the blood vessels and infiltrate into the organ interstitia and parenchyma. During above trafficking process, neutrophils can undergo phenotypic and functional changes in response to tissue environments. To determine the difference among neutrophils residing in the hematopoietic site—BM, circulating in the blood, and those infiltrating in the metastatic organ, the transcriptional profiles of neutrophils were analyzed by RNA sequencing. 4T1 cells were injected into the fourth mammary fat pads of female syngeneic BALB/cJ mice (8-week-old, n = 3). At day 10 (pre-metastatic stage), the mice were euthanized and then CD45+CD11b+Ly6G<high>Ly6C<med> neutrophils from bone marrow (BM), peripheral blood (PB) and lung were isolated by fluorescence-activated cell sorting. Total RNA was isolated from neutrophils using the miRNeasy Mini kit (Qiagen) and the transcriptional profiles of neutrophils were analyzed by RNA sequencing

2020-07-24 | E-MTAB-9128 | biostudies-arrayexpress

Multipotent mammary cancer stem cells integrate stem cell and clonal expansion theories of tumor progression

Project description:The diversity of human breast cancer subtypes has led to the hypothesis that breast cancer is a number of different diseases arising from cells at various stages of differentiation. We have derived clonal multipotent metastatic mammary cancer stem cells from the polyomavirus middle T mouse model of breast cancer, that can differentiate into luminal, myoepithelial and alveolar cells. When injected orthotopically at low-density, the resulting tumors express estrogen and progesterone receptors. With continued passage in vivo, the tumor cells undergo additional epigenetic and/or genetic changes that result in upregulation of Her2 expression or clonal expansion of cells that give rise to basal-like or claudin-low tumors. As in human tumors, the more aggressive tumor subtypes express nuclear p53. The temporal sequence of events suggests that contrary to current dogma, multiple tumor subtypes can originate from a single multipotent cancer stem cell that undergoes evolution during tumor progression. Furthermore, these data raise the possibility that a human polyomavirus may be a causative agent in spontaneous forms of human breast cancer. Three spontaneous PyVmT tumors and forty cell line derived tumors were analyzed. To generate cell line derived tumors, 10^6 tumor cells were injected orthotopically into four abdominal mammary fat pads in syngeneic C57Bl/6 female mice. After 6-8 weeks the mice were euthanized and the tumors excised and frozen at -80Â°C. One tumor per mouse 8-10mm in diameter was used for array analysis. RNA was extracted using the RNeasy kit (Qiagen) with on column DNA removal.

2014-09-12 | E-GEOD-61138 | biostudies-arrayexpress

Loss of EZH2 results in enhanced recruitment of EZH1, Pol II and Stat5 and precocious mammary gland development (SuperSeries)

Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

2015-01-27 | E-GEOD-65285 | biostudies-arrayexpress

Transformation of enriched mammary cell populations with Polyoma Middle T Antigen influences tumor subtype and metastatic potential

Project description:Breast cancer is a multifaceted disease, exhibiting significant molecular, histological, and pathological diversity. Factors that impact this heterogeneity are poorly understood; however, transformation of distinct normal cell populations of the breast may generate different tumor phenotypes. Our previous study demonstrates that the polyomavirus middle T antigen (PyMT) oncogene can establish diverse tumor subtypes when broadly expressed within mouse mammary epithelial cells. Herein, we assess the molecular, histological, and metastatic outcomes from distinct mammary cell populations transformed with PyMT. By combining several methodologies, including lentiviral infection, cell sorting, and transplantation, we have characterized tumors arising from enriched populations of mammary epithelial cells. We have found that expression of PyMT within different cell populations influences tumor histology, molecular subtype, and metastatic potential. 32 samples, 1 from each of 32 mouse mammary tumors arising from transplanted mouse mamary epithelial cells (MMECs) transduced with PyMT-expressing lentivirus. MMECs were sorted into four different types prior to transplant: luminal CD133+ (8 samples), luminal CD133- (11 samples), stem (6 samples), and basal (7 samples). The background for the cell donor and transplant recipients mice was FVB/NJ obtained from Jackson Laboratories.

2015-09-08 | E-GEOD-64453 | biostudies-arrayexpress

Gene expression of canine mammary cancer stem-like cells co-cultured with tumor associated macrophages

Project description:The aim of our study was to evaluate gene expression of canine mammary cancer stem-like cells co-cultured with tumor associated macrophages. Two canine mammary cancer cell lines (CMT-U27 and P114) were stained using anti-Sca1 (stem cell antigen 1), anti-EpCAM (Epithelial cell adhesion molecule) and anti-CD44 antibody. The FACS analysis showed 0,02-0,05% of Sca1+/EpCAM+/CD44+ in each of the cell line. Cancer stem-like cells were collected using FACS Aria II then co-cultured with tumor associated macrophages and used for further analysis of gene expression ( using Agilent Gene Expression Hybridization Kit ). Canine mammary cancer cell lines were stained using anti-Sca1 (stem cell antigen 1), anti-EpCAM (Epithelial cell adhesion molecule) and anti-CD44 antibodies. Next using FACS Aria II and Sca1+/EpCAM+/CD44+ cells were collected and co-cultured with tumor associated macrophages. Then, total RNA was isolated and hybridized at Gene Expression microarray.

2016-06-01 | E-GEOD-73230 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data