Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Chandra L, Theesfeld"'
Autor:
Jian Zhou, Ignacio E Schor, Victoria Yao, Chandra L Theesfeld, Raquel Marco-Ferreres, Alicja Tadych, Eileen E M Furlong, Olga G Troyanskaya
Publikováno v:
PLoS Genetics, Vol 15, Iss 9, p e1008382 (2019)
Comprehensive information on the timing and location of gene expression is fundamental to our understanding of embryonic development and tissue formation. While high-throughput in situ hybridization projects provide invaluable information about devel
Externí odkaz:
https://doaj.org/article/4bfb674b4e21452da6b50074f35ca400
Publikováno v:
Nature Reviews Genetics. 22:774-790
Interpreting the effects of genetic variants is key to understanding individual susceptibility to disease and designing personalized therapeutic approaches. Modern experimental technologies are enabling the generation of massive compendia of human ge
Autor:
Robert B. Darnell, Olga G. Troyanskaya, Kathleen M. Chen, Christopher Y. Park, Jian Zhou, Aaron K. Wong, Chandra L. Theesfeld
Publikováno v:
Nature genetics
Despite the strong genetic basis of psychiatric disorders, the underlying molecular mechanisms are largely unmapped. RNA-binding proteins (RBPs) are responsible for most post-transcriptional regulation, from splicing to translation to localization. R
Autor:
Viji Nair, Ryann Sohaney, Abhijit S. Naik, Jennifer A. Schaub, Sean Eddy, Edgar A. Otto, Bradley Godfrey, Jennifer L. Harder, Susan L. Dagenais, Olga G. Troyanskaya, Jonathan Z. Sexton, Xi Chen, Robert G. Nelson, Chrysta Lienczewski, Damian Fermin, Helen C. Looker, John Hartman, Rachel Sealfon, Rajasree Menon, Yuan Wang, Jeffrey B. Hodgin, Jinghui Luo, Laura H. Mariani, Celine C. Berthier, Christiane E. Wobus, Avinash Boppanna, Matthias Kretzler, Yingbao Yang, Lalita Subramanian, Aaron K. Wong, Chandra L. Theesfeld, Peter M. Kasson
Publikováno v:
Kidney International
medRxiv
medRxiv
COVID-19 morbidity and mortality are increased in patients with diabetes and kidney disease via unknown mechanisms. SARS-CoV-2 uses angiotensin-converting enzyme 2 (ACE2) for entry into host cells. Since ACE2 is a susceptibility factor for infection,
Publikováno v:
Nature reviews. Genetics. 22(12)
Interpreting the effects of genetic variants is key to understanding individual susceptibility to disease and designing personalized therapeutic approaches. Modern experimental technologies are enabling the generation of massive compendia of human ge
Autor:
Gregory A. Cary, Gregory W. Carter, Olga G. Troyanskaya, Lara M. Mangravite, Xi Chen, Ben Logsdon, Chandra L. Theesfeld, Kevin P. Kotredes, Michael Sasner, Evan M. Cofer, Dylan Garceau, Ravi S. Pandey, Christoph Preuss, Asli Uyar, Kathleen M. Chen, Gareth R. Howell
Publikováno v:
Alzheimer's & Dementia. 16
Autor:
Ethan J. Fritch, Christine A. Roden, Manolis Kellis, Amy S. Gladfelter, Mark A. Boerneke, Ralph S. Baric, Timothy P. Sheahan, Kevin M. Weeks, Grace A. McLaughlin, Chandra L. Theesfeld, Joanne Ekena, Yixuan J. Hou, Christiane Iserman, Chase A. Weidmann, Rachel Sealfon, Olga G. Troyanskaya, Irwin Jungreis
Publikováno v:
Molecular Cell
We report that the SARS-CoV-2 nucleocapsid protein (N-protein) undergoes liquid-liquid phase separation (LLPS) with viral RNA. N-protein condenses with specific RNA genomic elements under physiological buffer conditions and condensation is enhanced a
Convolutional neural networks (CNNs) have become a standard for analysis of biological sequences. Tuning of network architectures is essential for a CNN’s performance, yet it requires substantial knowledge of machine learning and commitment of time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4588d8521316b66fca5a8fe3a0c57c6
https://doi.org/10.1101/2020.08.18.251561
https://doi.org/10.1101/2020.08.18.251561
Autor:
Xi Chen, Ran Zhang, Olga G. Troyanskaya, Aaron K. Wong, Christopher Y. Park, Chandra L. Theesfeld, Jian Zhou
Publikováno v:
Cell systems. 12(4)
Systematic study of tissue-specific function of enhancers and their disease associations is a major challenge. We present an integrative machine-learning framework, FENRIR, that integrates thousands of disparate epigenetic and functional genomics dat
Autor:
Chandra L. Theesfeld, Avinash Boppana, Amy S. Gladfelter, Christine A. Roden, Mark A. Boerneke, Kevin M. Weeks, Rachel Sealfon, Timothy P. Sheahan, Yixuan J. Hou, Grace A. McLaughlin, Ralph S. Baric, Olga G. Troyanskaya, Christopher Y. Park, Ethan J. Fritch, Irwin Jungreis, Christiane Iserman
Publikováno v:
bioRxiv
article-version (status) pre
article-version (number) 1
article-version (status) pre
article-version (number) 1
A mechanistic understanding of the SARS-CoV-2 viral replication cycle is essential to develop new therapies for the COVID-19 global health crisis. In this study, we show that the SARS-CoV-2 nucleocapsid protein (N-protein) undergoes liquid-liquid pha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a1b9d24a24eef5f846edcca904aa94c
https://doi.org/10.1101/2020.06.11.147199
https://doi.org/10.1101/2020.06.11.147199