Notes

The consequences involving midwifery proper care provided to primiparous mothers throughout the postpartum interval upon mother's attachment along with post-traumatic development.
Patient-derived xenografts represent the gold standard in pre-clinical research models. The chicken embryo chorioallantoic membrane (CAM) is used in functional studies for studying biological processes such as blood vessel development and embryogenesis, biocompatible material testing, and more recently three-dimensional patient-derived xenograft (PDX) tumor modeling. We describe here a detailed method used to readily engraft established mouse PDX and primary patient tumor specimens on the CAM with as little as 25 mg of tissue per embryonated egg.Implantation of cancerous tissue obtained from patient biopsies or surgical procedures to create patient-derived xenograft models (PDX) has greatly enhanced the ability of scientists and physicians to perform translational research involving pre-clinical testing. PDX models are more representative of patient cancer tumors than traditional cell lines as they retain the three-dimensional architecture of the tumor, and are genomically, transcriptomically, and proteomically analogous. These models can be used for a variety of experiments to evaluate response of tumors to experimental therapeutic agents and to aid in the elucidation of response and resistance mechanisms of existing therapies. Orthotopic transplantation of breast cancer tissue into the mammary fat pad has been proven to be the most robust method of establishing breast cancer PDX models. Here we describe the procedure for implanting patient tumor tissue, or existing PDX tissue, into the mammary fat pad of immunocompromised mice, with notes, where necessary, for transplantation of normal or preneoplastic tissue.The growth of organoid cultures from primary donor tissue is able to recapitulate the original tissue morphology, heterogeneity, and characteristics. Close study of these cultures grants a deeper understanding of the chain of events occurring during disease progression and healthy tissue development. While patient derived organoids are particularly suited to assay for novel treatment options, organoids obtained from model organisms are perfectly suited to establish in-depth analysis technology, including longitudinal imaging approaches, as well as proof of principle studies that rely on a steady source of primary tissue. All these approaches profit from advancements in technology to manipulate cells within an organoid.Here we present an optimized protocol to generate, culture, and transduce 3D acini obtained from mouse primary mammary epithelial cells via viral vectors. Applying this method, a few cells within the preserved organoid can be marked, changed, and tracked within an unaltered neighboring environment of non-transduced cells to better understand processes like, for instance, tumor initiation.Lentiviral vectors are the workhorses of modern cell biology. They can infect a wide variety of cells including non-dividing cells and stem cells. They integrate into the genome of infected cells leading to stable expression. It is easy to transduce 100% of the cells in a culture and possible to infect cells simultaneously with multiple vectors, greatly facilitating studies on malignant transformation. We present simple protocols to produce and titrate lentiviral vectors, infect mammary epithelial cells, and check for contamination with replication competent viruses.Lineage tracing is now considered the gold standard approach to study cellular hierarchies and cell fate in vivo (McKenna and Gagnon, Development 146dev169730, 2019; Kretzschmar and Watt, Cell 14833-45, 2012). This type of clonal analysis consists of genetically labeling defined cells and following their destiny and progeny in vivo and in situ.Here we will describe different existing in vivo systems to clonally trace targeted cells and will discuss their respective advantages and inconveniences; we will then provide stepwise instructions for setting up and evaluate lineage tracing experiments, listing the most common downstream analyses and read-out assays.The orthotopic transplantation assay has provided important insights into mammary development, stem cell function, and tumorigenesis. Technically, it consists in grafting mammary tissue fragments, organoids, mammospheres, or isolated cells into the fat pads of prepubertal mice from which the endogenous epithelium has been surgically removed, thereby allowing growth and differentiation of mammary epithelial cells in their physiological environment. Here, we describe how is conducted transplantation of epithelial fragments and cells isolated from mouse mammary glands, report the various approaches currently used to evaluate the regeneration and self-renewal properties of mammary stem cells, and highlight the strengths and limitations of this in vivo grafting assay.After over two decades of constant evolution, proteomics can be truly considered nowadays as a high-throughput technique. Latest advances performed in sample preparation, instrumentation, and data analysis tools enable proteome-wide detection and quantification of proteins in complex samples.Label-free quantification by nanoscale liquid chromatography coupled online to tandem mass spectrometry (nLC MS /MS ) is a straightforward procedure for relative protein quantification. This approach allows to get deeper insights of what molecular changes are involved in the biological system we want to study in an unbiased manner.This chapter describes methods for sample preparation prior to mass spectrometry analysis. Besides, we describe a standard acquisition method, and some common bioinformatics analyses that help extracting biologically relevant information out of the achieved data.The large-scale development of high-throughput sequencing technologies has not only allowed the generation of reliable omics data related to various regulatory layers but also the development of novel computational models in the field of stem cell research. These computational approaches have enabled the disentangling of a complex interplay between these interrelated layers of regulation by interpreting large quantities of biomedical data in a systematic way. In the context of stem cell research, network modeling of complex gene-gene interactions has been successfully used for understanding the mechanisms underlying stem cell differentiation and cellular conversion. Notably, it has proven helpful for predicting cell-fate determinants and signaling molecules controlling such processes. This chapter will provide an overview of various computational approaches that rely on single-cell and/or bulk RNA sequencing data for elucidating the molecular underpinnings of cell subpopulation identities, lineage specification, and the process of cell-fate decisions. Furthermore, we discuss how these computational methods provide the right framework for computational modeling of biological systems in order to address long-standing challenges in the stem cell field by guiding experimental efforts in stem cell research and regenerative medicine.Cancers are caricatures of normal development. Yet, for most organs we are only beginning to learn about the molecular events underlying the embryonic antecedents of organogenesis and when differentiation into the cell types found in the adult actually begins. Here, we will focus on the powerful single-cell RNA sequencing and Assay for Transposase Accessible DNA by DNA sequencing (ATAC-seq) that we and others have been using to decipher the key regulators and signal transduction pathways involved in normal mammary development. We will first describe the techniques we use to identify, dissect, and isolate embryonic mammary rudiments and their constituent cells. We then describe the methods we have employed to perform single-cell RNA-seq and single-nucleus ATAC-seq using the small number of cells obtainable from mouse embryos. Finally, we will discuss the bioinformatic techniques we have used to interpret the vast amount of data obtained with these methods.Multidimensional fluorescence imaging represents a powerful approach for studying the dynamic cellular processes underpinning the development, function, and maintenance of the mammary gland. Here, we describe key multidimensional imaging strategies that enable visualization of mammary branching morphogenesis and epithelial cell fate dynamics during postnatal and embryonic mammary gland development. These include 4-dimensional intravital microscopy and ex vivo imaging of embryonic mammary cultures, in addition to methods that facilitate 3-dimensional imaging of the ductal epithelium at single-cell resolution within its native stroma. Collectively, these approaches provide a window into mammary developmental dynamics, and the perturbations underlying tissue dysfunction and disease.Mammary gland development starts during embryogenesis, and the process continues after birth. During development, the mammary gland undergoes massive morphological and physiological alterations including growth, invasion, and branching morphogenesis providing an ideal model for stem cell and cancer biology studies. selleck products Great efforts have been made in understanding mammary gland development during puberty and adulthood; however, the process during embryogenesis is still elusive. One reason is that the tools to study tissue dynamics during development are limited, which is partially due to the lack of an ex vivo culture method. Here we describe an updated organ culture protocol of the murine embryonic mammary gland. This powerful tool allows monitoring of growth and branching morphogenesis of mammary gland ex vivo by live imaging. In addition, we introduce a novel method for culturing intact, stroma-free mammary rudiments from late gestation mouse embryos in 3D in Matrigel. This approach can be used to identify the direct stromal cues for branching morphogenesis.The combination of targeted therapy and immunotherapy in the treatment of metastatic renal cell carcinoma (mRCC) has significantly improved outcomes for many patients. There are multiple FDA-approved regimens for the frontline setting based on numerous randomized Phase III trials. Despite these efforts, there remains a conundrum of identifying a biomarker-driven approach for these patients and it is unclear how to predict which patients are most likely to respond to these agents. This is due, in part, to an incomplete understanding of how these drug combinations work. The use of tyrosine kinase inhibitors that have multiple 'off-target' effects may lend themselves to the benefits observed when given in combination with immunotherapy. Further, targeting multiple clones within a patient's heterogenic tumor that are responsive to targeted therapy and others that are responsive to immunotherapy may also explain some level of improved response rates to the combination approaches compared to monotherapies. This review highlights the 5 FDA-approved regimens for mRCC in the frontline setting and offers insights into potential mechanisms for improved outcomes seen in these combination approaches.Improvements in screening, diagnosis and treatment of cancer has seen cancer mortality substantially diminish in the past three decades. It is estimated there are almost 20 million cancer survivors in the USA alone, but some 40% live with chronic pain after completing treatment. While a broad definition of survivorship that includes all people living with, through and beyond a cancer diagnosis-including those with active cancer-is often used, this narrative review primarily focuses on the management of pain in people who are disease-free after completing primary cancer treatment as adults. Chronic pain in this population needs a different approach to that used for people with a limited prognosis. After describing the common chronic pain syndromes caused by cancer treatment, and the pathophysiologic mechanisms involved, the pharmacologic management of entities such as post-surgical pain, chemotherapy-induced neuropathy, aromatase inhibitor musculoskeletal syndrome and checkpoint inhibitor-related pain are described.
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