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Full-Text Articles in Medicine and Health Sciences
Meeting Overview: Interferon Lambda - Disease Impact And Therapeutic Potential, Thomas R. O'Brien, Howard A. Young, Raymond P. Donnelly, Ludmila Prokunina-Olsson
Meeting Overview: Interferon Lambda - Disease Impact And Therapeutic Potential, Thomas R. O'Brien, Howard A. Young, Raymond P. Donnelly, Ludmila Prokunina-Olsson
Public Health Resources
A meeting entitled, "Interferon Lambda: Disease Impact and Translational Potential," was held on the campus of the National Institutes of Health in Bethesda, Maryland, on October 25-26, 2018. To our knowledge, this was the first meeting that focused exclusively on interferon lambda (IFN-λ). The meeting's purpose was to enhance interdisciplinary communication and promote new collaborations. The gathering brought together an international group of scientists from a wide range of disciplines. Sessions included: IFN-λ Biology, Therapy and Genetic Variation; IFN-λ and Hepatitis C Virus Infection; IFN-λ in Other Infections; and IFN-λ - Hepatic Fibrosis and Cancer. The next meeting on IFN-λ …
Endoglin Protein Interactome Profiling Identifies Trim21 And Galectin-3 As New Binding Partners, Eunate Gallardo-Vara, Lidia Ruiz-Llorente, Juan Casado-Vela, María J. Ruiz-Rodríguez, Natalia López-Andrés, Asit K. Pattnaik, Miguel Quintanilla
Endoglin Protein Interactome Profiling Identifies Trim21 And Galectin-3 As New Binding Partners, Eunate Gallardo-Vara, Lidia Ruiz-Llorente, Juan Casado-Vela, María J. Ruiz-Rodríguez, Natalia López-Andrés, Asit K. Pattnaik, Miguel Quintanilla
School of Veterinary and Biomedical Sciences: Faculty Publications
Endoglin is a 180-kDa glycoprotein receptor primarily expressed by the vascular endothelium and involved in cardiovascular disease and cancer. Heterozygous mutations in the endoglin gene (ENG) cause herediatry hemorrhagic telangiectasia type 1, a vascular disease that presents with nasal and gastrointestinal bleeding, skin and mucosa telangiectase, and arteriovenous malformations in internal organs. A circulating form of endoglin (alias soluble endoglin, sEng), proteolytically released from the membrane-bound protein, has been observed in several inflammation-related pathological conditions and appears to contribute to endothelial dysfunction and cancer development through unknown mechanisms. Membrane-bound endoglin is an auxiliary component of the TGF-B receptor complex and …
Short Course In The Microbiome, Kimberly Falana, Rob Knight, Camilia R. Martin, Romina Goldszmid, K. Leigh Greathouse, Joanne Gere, Howard Young, Winston Patrick Kuo
Short Course In The Microbiome, Kimberly Falana, Rob Knight, Camilia R. Martin, Romina Goldszmid, K. Leigh Greathouse, Joanne Gere, Howard Young, Winston Patrick Kuo
Public Health Resources
Over the past decade, it has become evident that the microbiome is an important environmental factor that affects many physiological processes, such as cell proliferation and differentiation, behaviour, immune function and metabolism. More importantly, it may contribute to a wide variety of diseases, including cancer, inflammatory diseases, metabolic diseases and responses to pathogens. We expect that international, integrative and interdisciplinary translational research teams, along with the emergence of FDA-approved platforms, will set the framework for microbiome-based therapeutics and diagnostics. We recognize that the microbiome ecosystem offers new promise for personalized/precision medicine and targeted treatment for a variety of diseases. The …
Data Mining The Functional Characterizations Of Proteins To Predict Their Cancer-Relatedness, Peter Revesz, Christopher Assi
Data Mining The Functional Characterizations Of Proteins To Predict Their Cancer-Relatedness, Peter Revesz, Christopher Assi
School of Computing: Faculty Publications
This paper considers two types of protein data. First, data about protein function described in a number of ways, such as, GO terms and PFAM families. Second, data about whether individual proteins are experimentally associated with cancer by an anomalous elevation or lowering of their expressions within cancerous cells. We combine these two types of protein data and test whether the first type of data, that is, the functional descriptors, can predict the second type of data, that is, cancer-relatedness. By using data mining and machine learning, we derive a classifier algorithm that using only GO term and PFAM family …