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10.1371/journal.pone.0172955 http://scihub22266oqcxt.onion/10.1371/journal.pone.0172955 C5336271!5336271 !28257480     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=28257480 &cmd=llinks): Failed to open stream: HTTP request failed! 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Site-specific gene expression profiling as a novel strategy for unravelling keloid disease pathobiology |pdf=|usr=}}{{28257480 }} gab.com Text Site-specific gene expression profiling as a novel strategy for unravelling keloid disease pathobiology JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=28257480 #FOAvip Keloid disease (KD) is a fibroproliferative cutaneous tumour characterised by heterogeneity, excess collagen deposition and aggressive local invasion. Lack of a validated animal model and resistance to a multitude of current therapies has resulted in unsatisfactory clinical outcomes of KD management. In order to address KD from a new perspective, we applied for the first time a site-specific in situ microdissection and gene expression profiling approach, through combined laser capture microdissection and transcriptomic array. The aim here was to analyse the utility of this approach compared with established methods of investigation, including whole tissue biopsy and monolayer cell culture techniques. This study was designed to approach KD from a hypothesis-free and compartment-specific angle, using state-of-the-art microdissection and gene expression profiling technology. We sought to characterise expression differences between specific keloid lesional sites and elucidate potential contributions of significantly dysregulated genes to mechanisms underlying keloid pathobiology, thus informing future explorative research into KD. Here, we highlight the advantages of our in situ microdissection strategy in generating expression data with improved sensitivity and accuracy over traditional methods. This methodological approach supports an active role for the epidermis in the pathogenesis of KD through identification of genes and upstream regulators implicated in epithelial-mesenchymal transition, inflammation and immune modulation. We describe dermal expression patterns crucial to collagen deposition that are associated with TGF?-mediated signalling, which have not previously been examined in KD. Additionally, this study supports the previously proposed presence of a cancer-like stem cell population in KD and explores the possible contribution of gene dysregulation to the resistance of KD to conventional therapy. Through this innovative in situ microdissection gene profiling approach, we provide better-defined gene signatures of distinct KD regions, thereby addressing KD heterogeneity, facilitating differential diagnosis with other cutaneous fibroses via transcriptional fingerprinting, and highlighting key areas for future KD research. Twit Text FOAVip Site-specific gene expression profiling as a novel strategy for unravelling keloid disease pathobiology ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=28257480 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28257480 #FOAvip English Wikipedia <ref>{{Cite pmid|28257480 }}</ref> Site-specific gene expression profiling as a novel strategy for unravelling keloid disease pathobiology #MMPMID28257480 Jumper N ; Hodgkinson T ; Paus R ; Bayat A PLoS One 2017[]; 12 (3 ): e0172955 PMID28257480 show ga Keloid disease (KD) is a fibroproliferative cutaneous tumour characterised by heterogeneity, excess collagen deposition and aggressive local invasion. Lack of a validated animal model and resistance to a multitude of current therapies has resulted in unsatisfactory clinical outcomes of KD management. In order to address KD from a new perspective, we applied for the first time a site-specific in situ microdissection and gene expression profiling approach, through combined laser capture microdissection and transcriptomic array. The aim here was to analyse the utility of this approach compared with established methods of investigation, including whole tissue biopsy and monolayer cell culture techniques. This study was designed to approach KD from a hypothesis-free and compartment-specific angle, using state-of-the-art microdissection and gene expression profiling technology. We sought to characterise expression differences between specific keloid lesional sites and elucidate potential contributions of significantly dysregulated genes to mechanisms underlying keloid pathobiology, thus informing future explorative research into KD. Here, we highlight the advantages of our in situ microdissection strategy in generating expression data with improved sensitivity and accuracy over traditional methods. This methodological approach supports an active role for the epidermis in the pathogenesis of KD through identification of genes and upstream regulators implicated in epithelial-mesenchymal transition, inflammation and immune modulation. We describe dermal expression patterns crucial to collagen deposition that are associated with TGF?-mediated signalling, which have not previously been examined in KD. Additionally, this study supports the previously proposed presence of a cancer-like stem cell population in KD and explores the possible contribution of gene dysregulation to the resistance of KD to conventional therapy. Through this innovative in situ microdissection gene profiling approach, we provide better-defined gene signatures of distinct KD regions, thereby addressing KD heterogeneity, facilitating differential diagnosis with other cutaneous fibroses via transcriptional fingerprinting, and highlighting key areas for future KD research. |*Gene Expression Regulation [MESH] |Biopsy [MESH] |Collagen/genetics/immunology [MESH] |Epidermis/immunology/pathology [MESH] |Epithelial-Mesenchymal Transition [MESH] |Fibroblasts/*immunology/pathology [MESH] |Gene Expression Profiling [MESH] |Humans [MESH] |Inflammation [MESH] |Keloid/*genetics/immunology/pathology [MESH] |Keratinocytes/*immunology/pathology [MESH] |Laser Capture Microdissection [MESH] |Microarray Analysis [MESH] |Neoplastic Stem Cells/*immunology/pathology [MESH] |Organ Specificity [MESH] |Primary Cell Culture [MESH] |Signal Transduction [MESH] |Transcriptome/*immunology [MESH]Site-specific gene expression profiling as a novel strategy for unrave(epmc).pdf DeepDyve Pubget Overpricing