ABSTRACT
Conflicting data exist as to how mammary epithelial cell proliferation changes during the reproductive cycle. To study the effect of endogenous hormone fluctuations on gene expression in the mouse mammary gland, we performed bulk RNAseq analyses of epithelial and stromal cell populations that were isolated either during puberty or at different stages of the adult virgin estrous cycle. Our data confirm prior findings that proliferative changes do not occur in every mouse in every cycle. We also show that during the estrous cycle the main gene expression changes occur in adipocytes and fibroblasts. Finally, we present a comprehensive overview of the Wnt gene expression landscape in different mammary gland cell types in pubertal and adult mice. This work contributes to understanding the effects of physiological hormone fluctuations and locally produced signaling molecules on gene expression changes in the mammary gland during the reproductive cycle and should be a useful resource for future studies investigating gene expression patterns in different cell types across different developmental timepoints.
Subject(s)
Epithelial Cells , Gene Expression Profiling , Mammary Glands, Animal , Sexual Maturation , Stromal Cells , Transcriptome , Animals , Female , Mice , Mammary Glands, Animal/cytology , Mammary Glands, Animal/metabolism , Stromal Cells/metabolism , Epithelial Cells/metabolism , Gene Expression Profiling/methods , Sexual Maturation/physiology , Cell Proliferation , Estrous Cycle/geneticsABSTRACT
An increasing number of '-omics' datasets, generated by labs all across the world, are becoming available. They contain a wealth of data that are largely unexplored. Not every scientist, however, will have access to the required resources and expertise to analyze such data from scratch. Fortunately, a growing number of investigators is dedicating their time and effort to the development of user friendly, online applications that allow researchers to use and investigate these datasets. Here, we will illustrate the usefulness of such an approach. Using regulation of Wnt7b expression as an example, we will highlight a selection of accessible tools and resources that are available to researchers in the area of mammary gland biology. We show how they can be used for in silico analyses of gene regulatory mechanisms, resulting in new hypotheses and providing leads for experimental follow up. We also call out to the mammary gland community to join forces in a coordinated effort to generate and share additional tissue-specific '-omics' datasets and thereby expand the in silico toolbox.
Subject(s)
Breast Neoplasms/genetics , Computational Biology/methods , Mammary Glands, Human/pathology , Proto-Oncogene Proteins/genetics , Wnt Proteins/genetics , Animals , Breast Neoplasms/pathology , Databases, Genetic , Datasets as Topic , Feasibility Studies , Female , Gene Expression Regulation, Neoplastic , Humans , Internet , Mammary Glands, Human/growth & development , Mice , Proto-Oncogene Proteins/metabolism , RNA-Seq , Single-Cell Analysis , Spatio-Temporal Analysis , Wnt Proteins/metabolism , Wnt Signaling Pathway/geneticsABSTRACT
The Wnt/ß-catenin signaling pathway is important for multiple developmental processes and tissue maintenance in adults. Consequently, deregulated signaling is involved in a range of human diseases including cancer and developmental defects. A better understanding of the intricate regulatory mechanism and effect of physiological (active) and pathophysiological (hyperactive) WNT signaling is important for predicting treatment response and developing novel therapies. The constitutively expressed CTNNB1 (commonly and hereafter referred to as ß-catenin) is degraded by a destruction complex, composed of amongst others AXIN1 and GSK3. The destruction complex is inhibited during active WNT signaling, leading to ß-catenin stabilization and induction of ß-catenin/TCF target genes. In this study we investigated the mechanism and effect of ß-catenin stabilization during active and hyperactive WNT signaling in a combined in silico and in vitro approach. We constructed a Petri net model of Wnt/ß-catenin signaling including main players from the plasma membrane (WNT ligands and receptors), cytoplasmic effectors and the downstream negative feedback target gene AXIN2. We validated that our model can be used to simulate both active (WNT stimulation) and hyperactive (GSK3 inhibition) signaling by comparing our simulation and experimental data. We used this experimentally validated model to get further insights into the effect of the negative feedback regulator AXIN2 upon WNT stimulation and observed an attenuated ß-catenin stabilization. We furthermore simulated the effect of APC inactivating mutations, yielding a stabilization of ß-catenin levels comparable to the Wnt-pathway activities observed in colorectal and breast cancer. Our model can be used for further investigation and viable predictions of the role of Wnt/ß-catenin signaling in oncogenesis and development.
