Project description:Type I, II, III and V collagens were commonly identified in human, pig, and mouse breast ECM. Mammary epithelial cells were able to form acini on certain types or combinations of the four collagens at normal breast tissue stiffness levels. Comparison of the collagen species in mouse normal breast and breast tumor ECM revealed common and distinct sets of collagens within the two types of tissues. Elevated collagen type I alpha 1 chain expression was found in human breast cancers. Collagen type XXV alpha 1 chain was identified in mouse breast tumors but not in normal breast tissues. Our data provide insights into modeling human breast pathophysiological structures and functions using native tissue-derived hydrogels and potential contributions of different collagen types or their monomers in breast cancer development.
Project description:Type I, II, III and V collagens were commonly identified in human, pig, and mouse breast ECM. Mammary epithelial cells were able to form acini on certain types or combinations of the four collagens at normal breast tissue stiffness levels. Comparison of the collagen species in mouse normal breast and breast tumor ECM revealed common and distinct sets of collagens within the two types of tissues. Elevated collagen type I alpha 1 chain expression was found in human breast cancers. Collagen type XXV alpha 1 chain was identified in mouse breast tumors but not in normal breast tissues. Our data provide insights into modeling human breast pathophysiological structures and functions using native tissue-derived hydrogels and potential contributions of different collagen types or their monomers in breast cancer development.
Project description:Global proteomic profiling of three mammary epithelial cell types in normal human breast tissue. Primary breast specimens were obtained from 10 women undergoing reduction mammoplasties. Clinical co-variates include age (28-67), hormone status (follicular, luteal, post-menopausal) and mammary epithelial cell type (basal, luminal progenitor, mature luminal).
Project description:<p>RNA sequencing was performed on human DRGs and relative gene abundances were calculated.</p> <p>Various analyses were performed:</p> <p> <ol> <li>Human DRG gene expression profiles were contrasted with a panel of gene expression profiles of relevant tissues in human and mouse ( integrating, among other sources, datasets from ENCODE and GTex ) in order to identify.</li> <ol type="a"> <li>DRG-enriched gene expression, co-expression modules of DRG-expressed genes, and key transcriptional regulators in humans.</li> <li>Contrasting the human and mouse DRG transcriptomes to identify DRG-enriched gene expression patterns that were conserved between human and mouse, identifying putative cell types of expression of these genes, and potential known drugs that might target the corresponding gene products.</li> <li>Characterization of non-coding RNA profile of human and mouse DRGs.</li> <li>Characterization of DRG-enriched alternative splicing and alternative transcription start site usage based transcript variants in humans and mouse, and the overlap between these two species.</li> <li>Contrasting of human DRG and GTex human tibial nerve samples to identify putative axonally transported mRNAs in sensory neurons.</li> </ol> <li>Human DRG transcriptomes from donors suffering from neuropathic and/or chronic pain were contrasted with controls to identify.</li> <ol type="a"> <li>Differentially expressed genes, pathways and regulators path play a potential role in neuronal plasticity, electrophysiological activity, immune signaling and response.</li> <li>Predictive models (Random Forests) were built to jointly predict the sex and pain state of samples based on information contained solely in autosomal gene expression profile.</li> <li>Gene co-expression modules were identified and gene set enrichment analysis performed.to identify sample - pathway associations, and to broadly characterize plasticity in human DRG cell types.</li> </ol> </ol> </p>
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.
Project description:To delineate epithelial subpopulations in mouse mammary tissue, hematopoietic and endothelial cells were depleted from freshly isolated cell suspensions derived from mammary glands using fluorescence-activated cell sorting. The resultant Lin- population was fractionated into four distinct subpopulations using antibodies against CD29, CD24 and CD61. Based on the immunohistochemical phenotype, and in vivo and in vitro functional assays, these subpopulations were identified as fibroblast-containing stromal (CD29loCD24-), mammary stem cell (MaSC)-enriched (CD29hiCD24+CD61+), luminal progenitor (CD29loCD24+CD61+), and mature luminal (CD29loCD24+CD61-) cell subpopulations. Microarray profiling was used to derive gene expression signatures of these 4 subpopulations. The four mammary cell subpopulations were found to have distinct gene expression profiles.
Project description:To delineate epithelial subpopulations in mouse mammary tissue, hematopoietic and endothelial cells were depleted from freshly isolated cell suspensions derived from mammary glands using fluorescence-activated cell sorting. The resultant Lin- population was fractionated into four distinct subpopulations using antibodies against CD29, CD24 and CD61. Based on the immunohistochemical phenotype, and in vivo and in vitro functional assays, these subpopulations were identified as fibroblast-containing stromal (CD29loCD24-), mammary stem cell (MaSC)-enriched (CD29hiCD24+CD61+), luminal progenitor (CD29loCD24+CD61+), and mature luminal (CD29loCD24+CD61-) cell subpopulations. Microarray profiling was used to derive gene expression signatures of these 4 subpopulations. The four mammary cell subpopulations were found to have distinct gene expression profiles. Four mammary cell subpopulations from 3-5 pooled mouse tissues were analysed. MS is for the MaSC-enriched cell subpopulation. LP is for the Luminal Progenitor subpopulation. ML is for the Mature Luminal subpopulation.