Journal of Mammary Gland Biology and Neoplasia This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

A Comparative Review of the Extrinsic and Intrinsic Factors Regulating Lactose Synthesis
AbstractMilk is critical for the survival of all mammalian offspring, where its production by a mammary gland is also positively associated with its lactose concentration. A clearer understanding of the factors that regulate lactose synthesis stands to direct strategies for improving neonatal health while also highlighting opportunities to manipulate and improve milk production and composition. In this review we draw a cross-species comparison of the extra- and intramammary factors that regulate lactose synthesis, with a special focus on humans, dairy animals, and rodents. We outline the various factors known to influence ...
Source: Journal of Mammary Gland Biology and Neoplasia - June 14, 2021 Category: Cancer & Oncology Source Type: research

A Comparative Review of the Cell Biology, Biochemistry, and Genetics of Lactose Synthesis
AbstractLactose is the primary carbohydrate in the milk of most mammals and is unique in that it is only synthesized by epithelial cells in the mammary glands. Lactose is also essential for the development and nutrition of infants. Across species, the concentration of lactose in milk holds a strong positive correlation with overall milk volume. Additionally, there is a range of examples where the onset of lactose synthesis as well as the content of lactose in milk varies between species and throughout a lactation. Despite this diversity, the precursors, genes, proteins and ions that regulate lactose synthesis have not rece...
Source: Journal of Mammary Gland Biology and Neoplasia - June 14, 2021 Category: Cancer & Oncology Source Type: research

Connecting the Dots: Mammary Gland and Breast Cancer at Single Cell Resolution
(Source: Journal of Mammary Gland Biology and Neoplasia)
Source: Journal of Mammary Gland Biology and Neoplasia - June 14, 2021 Category: Cancer & Oncology Source Type: research

Resolving Human Lactation Heterogeneity Using Single Milk-Derived Cells, a Resource at the Ready
AbstractSingle cell RNA sequencing (scRNAseq) of human milk-derived cells (HMDCs) makes highly detailed analyses of the biology of human lactation possible. We explore this powerful application as an exciting tool to inspect the cellular composition of human milk. We point out some important challenges unique to this approach and highlight the importance of collaborations between biologists and well-trained bioinformaticians to utilize these data to their maximum potential. We extend this focus by discussing the first two such studies that describe HMDCs via scRNAseq and a variety of important questions in the field that w...
Source: Journal of Mammary Gland Biology and Neoplasia - June 7, 2021 Category: Cancer & Oncology Source Type: research

Cancer-Associated Fibroblasts in the Breast Tumor Microenvironment
AbstractYears of investigation have shed light on a theory in which breast tumor epithelial cells are under the effect of the stromal microenvironment. This review aims to discuss recent findings concerning the phenotypic and functional characteristics of cancer associated fibroblasts (CAFs) and their involvement in tumor evolution, as well as their potential implications for anti-cancer therapy. In this manuscript, we reviewed that CAFs play a fundamental role in initiation, growth, invasion, and metastasis of breast cancer, and also serve as biomarkers in the clinical diagnosis, therapy, and prognosis of this disease. (S...
Source: Journal of Mammary Gland Biology and Neoplasia - June 1, 2021 Category: Cancer & Oncology Source Type: research

Deep Learning Enables Individual Xenograft Cell Classification in Histological Images by Analysis of Contextual Features
AbstractPatient-Derived Xenografts (PDXs) are the preclinical models which best recapitulate inter- and intra-patient complexity of human breast malignancies, and are also emerging as useful tools to study the normal breast epithelium. However, data analysis generated with such models is often confounded by the presence of host cells and can give rise to data misinterpretation. For instance, it is important to discriminate between xenografted and host cells in histological sections prior to performing immunostainings. We developed Single Cell Classifier (SCC), a data-driven deep learning-based computational tool that provi...
Source: Journal of Mammary Gland Biology and Neoplasia - June 1, 2021 Category: Cancer & Oncology Source Type: research

Breast Cancer Response to Therapy: Can microRNAs Lead the Way?
AbstractBreast cancer (BC) is a leading cause of death among women with malignant diseases. The selection of adequate therapies for highly invasive and metastatic BCs still represents a major challenge. Novel combinatorial therapeutic approaches are urgently required to enhance the efficiency of BC treatment. Recently, microRNAs (miRNAs) emerged as key regulators of the complex mechanisms that govern BC therapeutic resistance and susceptibility. In the present review we aim to critically examine how miRNAs influence BC response to therapies, or how to use miRNAs as a basis for new therapeutic approaches. We summarized rece...
Source: Journal of Mammary Gland Biology and Neoplasia - June 1, 2021 Category: Cancer & Oncology Source Type: research

Epithelial p53 Status Modifies Stromal-Epithelial Interactions During Basal-Like Breast Carcinogenesis
AbstractBasal-like breast cancers (BBC) exhibit subtype-specific phenotypic and transcriptional responses to stroma, but little research has addressed how stromal-epithelial interactions evolve during early BBC carcinogenesis. It is also unclear how common genetic defects, such as p53 mutations, modify these stromal-epithelial interactions. To address these knowledge gaps, we leveraged the MCF10 progression series of breast cell lines (MCF10A, MCF10AT1, and MCF10DCIS) to develop a longitudinal, tissue-contextualized model of p53-deficient, pre-malignant breast. Acinus asphericity, a morphogenetic correlate of cell invasive...
Source: Journal of Mammary Gland Biology and Neoplasia - June 1, 2021 Category: Cancer & Oncology Source Type: research

A Comparative Review of the Extrinsic and Intrinsic Factors Regulating Lactose Synthesis
AbstractMilk is critical for the survival of all mammalian offspring, where its production by a mammary gland is also positively associated with its lactose concentration. A clearer understanding of the factors that regulate lactose synthesis stands to direct strategies for improving neonatal health while also highlighting opportunities to manipulate and improve milk production and composition. In this review we draw a cross-species comparison of the extra- and intramammary factors that regulate lactose synthesis, with a special focus on humans, dairy animals, and rodents. We outline the various factors known to influence ...
Source: Journal of Mammary Gland Biology and Neoplasia - June 1, 2021 Category: Cancer & Oncology Source Type: research

A Method to Pre-Screen Rat Mammary Gland Whole-Mounts Prior To RNAscope
AbstractRNAscope is a quantitative in situ gene expression measurement technique that preserves the spatial aspect of intact tissue; thus, allowing for comparison of specific cell populations and morphologies. Reliable and accurate measurement of gene expression in tissue is dependent on preserving RNA integrity and the quantitative nature of RNAscope. The purpose of this study was to determine if the quantitative nature of RNAscope was retained following processing and carmine staining of mammary gland whole-mounts, which are commonly used to identify lesions, such as hyperplasia and ductal carcinoma in situ (DCIS). We we...
Source: Journal of Mammary Gland Biology and Neoplasia - June 1, 2021 Category: Cancer & Oncology Source Type: research

Development and Pathology of the Equine Mammary Gland
AbstractAn understanding of the anatomy, histology, and development of the equine mammary gland underpins study of the pathology of diseases including galactorrhoea, agalactia, mastitis, and mammary tumour development. This review examines the prenatal development of the equine mammary gland and the striking degree to which the tissue undergoes postnatal development associated with the reproductive cycle. The gland is characterised by epithelial structures arranged in terminal duct lobular units, similar to those of the human breast, supported by distinct zones of intra- and interlobular collagenous stroma. Mastitis and ma...
Source: Journal of Mammary Gland Biology and Neoplasia - June 1, 2021 Category: Cancer & Oncology Source Type: research

A Comparative Review of the Cell Biology, Biochemistry, and Genetics of Lactose Synthesis
AbstractLactose is the primary carbohydrate in the milk of most mammals and is unique in that it is only synthesized by epithelial cells in the mammary glands. Lactose is also essential for the development and nutrition of infants. Across species, the concentration of lactose in milk holds a strong positive correlation with overall milk volume. Additionally, there is a range of examples where the onset of lactose synthesis as well as the content of lactose in milk varies between species and throughout a lactation. Despite this diversity, the precursors, genes, proteins and ions that regulate lactose synthesis have not rece...
Source: Journal of Mammary Gland Biology and Neoplasia - June 1, 2021 Category: Cancer & Oncology Source Type: research

Correction to: Breast Cancer Response to Therapy: Can microRNAs Lead the Way?
Correction to: Journal of Mammary Gland Biology and Neoplasia (Source: Journal of Mammary Gland Biology and Neoplasia)
Source: Journal of Mammary Gland Biology and Neoplasia - June 1, 2021 Category: Cancer & Oncology Source Type: research

Deep Learning Enables Individual Xenograft Cell Classification in Histological Images by Analysis of Contextual Features
AbstractPatient-Derived Xenografts (PDXs) are the preclinical models which best recapitulate inter- and intra-patient complexity of human breast malignancies, and are also emerging as useful tools to study the normal breast epithelium. However, data analysis generated with such models is often confounded by the presence of host cells and can give rise to data misinterpretation. For instance, it is important to discriminate between xenografted and host cells in histological sections prior to performing immunostainings. We developed Single Cell Classifier (SCC), a data-driven deep learning-based computational tool that provi...
Source: Journal of Mammary Gland Biology and Neoplasia - May 17, 2021 Category: Cancer & Oncology Source Type: research