1,721,059 research outputs found

    Pubertal ductal morphogenesis: isolation and transcriptome analysis of the terminal end bud

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    The terminal end bud (TEB) is the growing part of the ductal mammary epithelium during puberty, enabling the formation of a primary epithelial network. These highly proliferative bulbous end structures that drive the ductal expansion into the mammary fat pad comprise an outer cap cell layer, containing the progenitor cells of the ductal myoepithelium, and the body cells, which form the luminal epithelium. As TEB make up only a very small part of the whole mammary tissue, TEB-associated factors can be easily missed when whole tissue sections are being analysed. Here we describe a method to enzymatically separate TEB and ducts respectively from the surrounding stroma of pubertal mice in order to perform transcriptomic or proteomic analysis on the isolated structures and identify potential novel regulators of epithelial outgrowth, or to allow further cell culturing. This approach has recently allowed us to identify the glycoprotein fibulin-2 (FBLN2) and its binding partner versican (VCAN) as novel TEB-associated proteins. We further include protocols for the processing of mammary tissue into paraffin and immunohistochemical/-fluorescent staining for verification and localisation of protein expression in the mammary tissue at different developmental time points

    Overview of mammary gland development: a comparison of mouse and human

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    The mouse mammary gland is widely used as a model for human breast cancer and has greatly added to our understanding of the molecular mechanisms involved in breast cancer development and progression. To fully appreciate the validity and limitations of the mouse model, it is essential to be aware of the similarities and also the differences that exist between the mouse mammary gland and the human breast. This introduction therefore describes the parallels and contrasts in mouse mammary gland and human breast morphogenesis from an early embryonic phase through to puberty, adulthood, pregnancy, parturition, and lactation, and finally the regressive stage of involution

    RNA profiling of non-cultured fibroblasts isolated from pubertal mouse mammary gland sections

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    The epithelium of the pubertal mouse mammary gland grows and invades the mammary fat pad to form a primary ductal network. This outgrowth is tightly controlled by epithelial and stromal factors that are present in the environment around the terminal end buds (TEB) at the growth front and the newly formed ducts. Identifying the contribution that each cell type makes to this regulation is a major challenge. To identify the role that fibroblasts play during this process we have optimised a fibroblast isolation procedure, followed by cell cleanup, RNA extraction, and amplification from non-cultured, freshly isolated fibroblasts from around the TEB as well as the subtending ducts. This was facilitated by the use of mice that constitutively expressed EGFP, which allowed the visualization of the growth front of the pubertal mammary tree under UV light. The isolated RNA is of sufficiently high quality, giving reproducible qRT-PCR results, for transcriptome analysis after RNA amplification

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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