Zobrazeno 1 - 10
of 169
pro vyhledávání: '"Stephan C. Schürer"'
Autor:
Braden T. Tierney, Jonathan Foox, Krista A. Ryon, Daniel Butler, Namita Damle, Benjamin G. Young, Christopher Mozsary, Kristina M. Babler, Xue Yin, Yamina Carattini, David Andrews, Alexander G. Lucaci, Natasha Schaefer Solle, Naresh Kumar, Bhavarth Shukla, Dušica Vidović, Benjamin Currall, Sion L. Williams, Stephan C. Schürer, Mario Stevenson, Ayaaz Amirali, Cynthia Campos Beaver, Erin Kobetz, Melinda M. Boone, Brian Reding, Jennifer Laine, Samuel Comerford, Walter E. Lamar, John J. Tallon, Jeremy Wain Hirschberg, Jacqueline Proszynski, Gabriel Al Ghalith, Kübra Can Kurt, Mark E. Sharkey, George M. Church, George S. Grills, Helena M. Solo-Gabriele, Christopher E. Mason
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-18 (2024)
Abstract Wastewater is a geospatially- and temporally-linked microbial fingerprint of a given population, making it a potentially valuable tool for tracking public health across locales and time. Here, we integrate targeted and bulk RNA sequencing (N
Externí odkaz:
https://doaj.org/article/e0c84d08c6104aac859de15f2159b913
Autor:
Jens Hansen, Yuguang Xiong, Mustafa M. Siddiq, Priyanka Dhanan, Bin Hu, Bhavana Shewale, Arjun S. Yadaw, Gomathi Jayaraman, Rosa E. Tolentino, Yibang Chen, Pedro Martinez, Kristin G. Beaumont, Robert Sebra, Dusica Vidovic, Stephan C. Schürer, Joseph Goldfarb, James M. Gallo, Marc R. Birtwistle, Eric A. Sobie, Evren U. Azeloglu, Seth I. Berger, Angel Chan, Christoph Schaniel, Nicole C. Dubois, Ravi Iyengar
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract Drug-induced gene expression profiles can identify potential mechanisms of toxicity. We focus on obtaining signatures for cardiotoxicity of FDA-approved tyrosine kinase inhibitors (TKIs) in human induced-pluripotent-stem-cell-derived cardiom
Externí odkaz:
https://doaj.org/article/5c705931ae3749d8b0d5c464d5e8d788
Autor:
Vincent T. Metzger, Daniel C. Cannon, Jeremy J. Yang, Stephen L. Mathias, Cristian G. Bologa, Anna Waller, Stephan C. Schürer, Dušica Vidović, Keith J. Kelleher, Timothy K. Sheils, Lars Juhl Jensen, Christophe G. Lambert, Tudor I. Oprea, Jeremy S. Edwards
Publikováno v:
PeerJ, Vol 12, p e17470 (2024)
TIN-X (Target Importance and Novelty eXplorer) is an interactive visualization tool for illuminating associations between diseases and potential drug targets and is publicly available at newdrugtargets.org. TIN-X uses natural language processing to i
Externí odkaz:
https://doaj.org/article/960d5f8e591045c1b0baec822e03ab67
Autor:
Giulia Diluvio, Tanya T. Kelley, Mohini Lahiry, Annamil Alvarez-Trotta, Ellen M. Kolb, Elena Shersher, Luisana Astudillo, Rhett A. Kovall, Stephan C. Schürer, Anthony J. Capobianco
Publikováno v:
Molecular Therapy: Oncolytics, Vol 28, Iss , Pp 307-320 (2023)
Notch activation complex kinase (NACK) is a component of the Notch transcriptional machinery critical for the Notch-mediated tumorigenesis. However, the mechanism through which NACK regulates Notch-mediated transcription is not well understood. Here,
Externí odkaz:
https://doaj.org/article/b1e16d1d943d4b45b5719482002cf0ad
Publikováno v:
International Journal of Molecular Sciences, Vol 25, Iss 5, p 2538 (2024)
Deep learning is a machine learning technique to model high-level abstractions in data by utilizing a graph composed of multiple processing layers that experience various linear and non-linear transformations. This technique has been shown to perform
Externí odkaz:
https://doaj.org/article/925ab5b1d2ef41f1891e79a342fe000a
Autor:
Marcin Pilarczyk, Mehdi Fazel-Najafabadi, Michal Kouril, Behrouz Shamsaei, Juozas Vasiliauskas, Wen Niu, Naim Mahi, Lixia Zhang, Nicholas A. Clark, Yan Ren, Shana White, Rashid Karim, Huan Xu, Jacek Biesiada, Mark F. Bennett, Sarah E. Davidson, John F. Reichard, Kurt Roberts, Vasileios Stathias, Amar Koleti, Dusica Vidovic, Daniel J. B. Clarke, Stephan C. Schürer, Avi Ma’ayan, Jarek Meller, Mario Medvedovic
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-13 (2022)
There are only a few platforms that integrate multiple omics data types, bioinformatics tools, and interfaces for integrative analyses and visualization that do not require programming skills. Here the authors present an integrative web-based platfor
Externí odkaz:
https://doaj.org/article/08ffc15267ee4c3faac75343be39e39f
Publikováno v:
iScience, Vol 25, Iss 12, Pp 105621- (2022)
Summary: Renal cell carcinoma (RCC) is a fatal disease when advanced. While immunotherapy and tyrosine kinase inhibitor-based combinations are associated with improved survival, the majority of patients eventually succumb to the disease. Through a co
Externí odkaz:
https://doaj.org/article/b8b3798421ac4f39a905bab97dd4dcaf
Autor:
Derek J. Essegian, Tyler A. Cunningham, Christopher J. Zerio, Eli Chapman, Jonathan Schatz, Stephan C. Schürer
Publikováno v:
ACS Omega, Vol 6, Iss 38, Pp 24432-24443 (2021)
Externí odkaz:
https://doaj.org/article/7980bb329b004d37b04673cf8626bb3d
Autor:
Vasileios Stathias, Anna M. Jermakowicz, Marie E. Maloof, Michele Forlin, Winston Walters, Robert K. Suter, Michael A. Durante, Sion L. Williams, J. William Harbour, Claude-Henry Volmar, Nicholas J. Lyons, Claes Wahlestedt, Regina M. Graham, Michael E. Ivan, Ricardo J. Komotar, Jann N. Sarkaria, Aravind Subramanian, Todd R. Golub, Stephan C. Schürer, Nagi G. Ayad
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-13 (2018)
Inherent or acquired resistance to treatment of glioblastoma (GBM) is nearly universal. Here, the authors introduce a platform to identify synergistic drug combinations for patient-specific treatment of GBM based on gene expression signatures and sma
Externí odkaz:
https://doaj.org/article/27c294a5f7c843d6a3a8dc34a08977c6
Publikováno v:
Cell Reports Medicine, Vol 1, Iss 7, Pp 100128- (2020)
Summary: The approval of the first kinase inhibitor, Gleevec, ushered in a paradigm shift for oncological treatment—the use of genomic data for targeted, efficacious therapies. Since then, over 48 additional small-molecule kinase inhibitors have be
Externí odkaz:
https://doaj.org/article/9611c9d86241428792ddeb70ba9b8b13