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Standardized, highthroughput RNA detection with microarray chips allows for the construction of genomewide databases for tissue specimens suitable for in silico electronic Northern blot (eNorthern) analysis of marker genes. We used the BioExpress™ database, which contains transcriptional profiles of normal and cancer samples, to examine two putative markers of cancer stroma: fibroblast ...
Epithelialstroma interactions in the endometrium are known to be responsible for physiological functions and emergence of several pathologic lesions. Periglandular stromal cells act on endometrial cells in a paracrine manner through hormones. In this study, we immunohistochemically evaluated the expression of epithelialmesenchymal transition regulators (SNAIL/SLUG, TWIST, ZEB1), adhesion ...
mining of stroma in pthology wildpeppersf Automatic measurement of volume percentage stroma in, mining of stroma in pthology,3 May 2010, allow the use of highthroughput imaging for pathology research, consists of a layer of connective tissue called the stroma and tubular uterine, Subspace clustering is a wellstudied problem in data mining ...
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stroma in comparison to normal stroma for prostate cancer. A. Positions and Honors. Position and Employment Postdoctoral Scholar, Botany and Plant Science, University of California, Riverside Specialist, Pathology and Laboratory Medicine, University of California, Irvine
Flickr Hive Mind is a data mining tool for the Flickr database of photography. Flickr Hive Mind is a search engine as well as an experiment in the power of thumbnail images come directly from Flickr, none are stored on Flickr Hive photos are bound by the copyright and license of their owners, the thumbnail links take to you to the photos (as well as their copyright ...
The possibility of digitizing wholeslide images of tissue has led to the advent of artificial intelligence (AI) and machine learning tools in digital pathology, which enable mining of subvisual morphometric phenotypes and might, ultimately, improve patient management.
Fibroadenoma of the breast is a benign tumor composed of a biphasic proliferation of both stromal and epithelial components that can be arranged in two growth patterns: pericanalicular (stromal proliferation around epithelial structures) and intracanalicular (stromal proliferation compressing the epithelial structures into clefts).
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The possibility of digitizing wholeslide images of tissue has led to the advent of artificial intelligence (AI) and machine learning tools in digital pathology, which enable mining of subvisual ...
A lasercapture microdissection technique was used to pluck individual breastcancer epithelial cells and surrounding stromal cells from pathology slides for studies of the TP53 gene and loss of he...
Jan 25, 2017· Results: CrosstalkNet is a user friendly, webbased network visualization tool to retrieve and mine interactions in largescale bipartite coexpression networks. In this study, we discuss the use of gene coexpression networks to explore the rewiring of interactions between tumor epithelial and stromal .
Sep 27, 2013· Recognition of endometrial stroma, either normal or neoplastic, is relevant in many diagnostic situations. One of the most important tasks, given its .
Rhodes, et al., 2004, Oncomine: A microarray database and datamining platform Independent confirmation on transcript levels: What could be the function of these tenascins in the tumor stroma? TenascinC Blocks Cell Spreading on Fibronectin and stimulates cell proliferation of cancer cells FN FN/TN T98G phalloidin vinculin
Sep 06, 2016· "Mining Big Data for Molecular Marker Detection" Professor SuIn Lee is an Assistant Professor in the Departments of Computer Science Engineering and Genome Sciences at the University of Washington. She received her degree in Electrical Engineering from Stanford University in 2009.
PATHOLOGY AND EXPERIMENTAL PATHOLOGY Ian Webster ... *Sponsored by the State Department of Mines and the Asbestos Mining In dustry of South Africa. 623 . ... usually associated with a connective tissue stroma. In some cases the stroma appears to consist of reticulin fibers, loosely or compactly arranged, ...
expression, and identify factors affecting stromal CXCL1 expression. Methods: Stromal CXCL1 protein expression was analyzed in 54 normal and 83 breast carcinomas by immunohistochemistry staining. RNA expression of CXCL1 in breast cancer stroma was analyzed through data mining in
Oct 19, 2019· I read about it and stromal fibrosis is not cancer. Now I go Sept 2017 for mammogram and ultrasound as follow up I would like some advice to see what others have to say or have done. It''s on my mind all the time especially because radiologist thought for sure it was cancer I guess pathology comes before his comments what would any of you do.
Jun 26, 2019· More recently, next generation sequencing using mapping based data mining of sequencing reads can also detect fusions (Am J Surg Pathol 2017;41:1576) Some studies have shown RNA sequencing to be an effective method for novel gene fusion detection (Mod Pathol 2018 Apr 30 [Epub ead of print])
KIT mutations are the hallmark of gastrointestinal stromal tumors (GISTs). In a paper recently published in Nature, Sawyers and colleagues demonstrate that ETV1 collaborates with oncogenic KIT to initiate a GISTspecific transcriptional program. These results radically alter our view of GIST oncogenesis and have important implications for diagnosis and therapy.
New technologies, analytic techniques, and computerassisted diagnosis algorithms will change the way pathologists and clinicians interact with and use clinical data. Simultaneously, the artisanal nature of the culture and clinical practice of medicine have made them resistant to change. An understanding of workflow science will help pathologists prepare for the changes that lie ead in ...
SH, stromal hyperthecosis varian stromal hyperthecosis (SH) is characterized by the presence of luteinized thecal cells within the ovarian stroma separate from the follicles and is usually accompanied by stromal The clinical importance of SH varies. In .
mining factor in the classification of the thymoma. 3,6 In Btype thymoma, the epithelial cells typically have illdefined pale to eosinophilic cytoplasm and centrally placed variably vesicular nuclei with an identifiable nucleolus. Rarely otherwise typical type B3 thymoma may .
Gabriel Sica, MD, PhD, is an Associate Professor in the Department of Pathology and Laboratory Medicine at Emory University School of Medicine, and serves as the director of the Winship Cancer Tissue and Pathology Shared Resource. Dr. Sica is a member of the Discovery and Developmental Therapeutics research program at Winship Cancer Institute.
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