Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Tomiko, Oskotsky"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-15 (2022)
Abstract Although male–female differences in placental structure and function have been observed, little is understood about their molecular underpinnings. Here, we present a mega-analysis of 14 publicly available placenta DNA methylation (DNAm) mi
Externí odkaz:
https://doaj.org/article/a570d42cd86646ffb64ef9fb19e5c110
Autor:
Alice S. Tang, Tomiko Oskotsky, Shreyas Havaldar, William G. Mantyh, Mesude Bicak, Caroline Warly Solsberg, Sarah Woldemariam, Billy Zeng, Zicheng Hu, Boris Oskotsky, Dena Dubal, Isabel E. Allen, Benjamin S. Glicksberg, Marina Sirota
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-15 (2022)
Sex modifies Alzheimer’s Disease vulnerability, but the reasons for this are largely unknown. Here, the authors utilize two independent electronic medical record systems to perform deep clinical phenotyping and network analysis to gain insight into
Externí odkaz:
https://doaj.org/article/f7f2e19252cb45c78e11d4621f693246
Autor:
Brian L. Le, Gaia Andreoletti, Tomiko Oskotsky, Albert Vallejo-Gracia, Romel Rosales, Katharine Yu, Idit Kosti, Kristoffer E. Leon, Daniel G. Bunis, Christine Li, G. Renuka Kumar, Kris M. White, Adolfo García-Sastre, Melanie Ott, Marina Sirota
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract The novel SARS-CoV-2 virus emerged in December 2019 and has few effective treatments. We applied a computational drug repositioning pipeline to SARS-CoV-2 differential gene expression signatures derived from publicly available data. We utili
Externí odkaz:
https://doaj.org/article/4c2062c1199f494bb0611974876e19c4
Autor:
Stella A. Belonwu, Yaqiao Li, Daniel G. Bunis, Arjun Arkal Rao, Caroline Warly Solsberg, Tomiko Oskotsky, Alice L. Taubes, Brian Grone, Kelly A. Zalocusky, Gabriela K. Fragiadakis, Yadong Huang, Marina Sirota
Publikováno v:
Frontiers in Aging Neuroscience, Vol 14 (2022)
Alzheimer’s Disease (AD) is a complex neurodegenerative disease that gravely affects patients and imposes an immense burden on caregivers. Apolipoprotein E4 (APOE4) has been identified as the most common genetic risk factor for AD, yet the molecula
Externí odkaz:
https://doaj.org/article/8509af238faa46e3a867616383bbc66c
Autor:
Tomiko Oskotsky, Ruchika Bajaj, Jillian Burchard, Taylor Cavazos, Ina Chen, William T Connell, Stephanie Eaneff, Tianna Grant, Ishan Kanungo, Karla Lindquist, Douglas Myers-Turnbull, Zun Zar Chi Naing, Alice Tang, Bianca Vora, Jon Wang, Isha Karim, Claire Swadling, Janice Yang, AI4ALL Student Cohort, Bill Lindstaedt, Marina Sirota
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 1, p e1009719 (2022)
Artificial Intelligence (AI) has the power to improve our lives through a wide variety of applications, many of which fall into the healthcare space; however, a lack of diversity is contributing to limitations in how broadly AI can help people. The U
Externí odkaz:
https://doaj.org/article/9eb92fe2d71245fd98d4d1c22da4774f
Autor:
Manish D. Paranjpe, Stella Belonwu, Jason K. Wang, Tomiko Oskotsky, Aarzu Gupta, Alice Taubes, Kelly A. Zalocusky, Ishan Paranjpe, Benjamin S. Glicksberg, Yadong Huang, Marina Sirota
Publikováno v:
Frontiers in Aging Neuroscience, Vol 13 (2021)
Background: Alzheimer’s disease (AD) is a progressive neurodegenerative disorder and the most common cause of dementia in the United States. In spite of evidence of females having a greater lifetime risk of developing Alzheimer’s Disease (AD) and
Externí odkaz:
https://doaj.org/article/f1b7beddceb6441c8e1f093b0d584ed2
Autor:
Dmitry Rychkov, Jessica Neely, Tomiko Oskotsky, Steven Yu, Noah Perlmutter, Joanne Nititham, Alexander Carvidi, Melissa Krueger, Andrew Gross, Lindsey A. Criswell, Judith F. Ashouri, Marina Sirota
Publikováno v:
Frontiers in Immunology, Vol 12 (2021)
There is an urgent need to identify biomarkers for diagnosis and disease activity monitoring in rheumatoid arthritis (RA). We leveraged publicly available microarray gene expression data in the NCBI GEO database for whole blood (N=1,885) and synovial
Externí odkaz:
https://doaj.org/article/8440480a754a4697ae15088e16edf8dc
Autor:
Ivana Marić, Tomiko Oskotsky, Idit Kosti, Brian Le, Ronald J. Wong, Gary M. Shaw, Marina Sirota, David K. Stevenson
Publikováno v:
Frontiers in Medicine, Vol 8 (2021)
The severe respiratory illness due to SARS-CoV-2, the virus responsible for coronavirus disease 2019 (COVID-19), is triggered by an intense pro-inflammatory host response. Statins, prescribed primarily for lipid reduction, are known to have anti-infl
Externí odkaz:
https://doaj.org/article/b27d3b64e0a542d680e23916fc1d9f04
Autor:
Jacquelyn Roger, Feng Xie, Jean Costello, Alice Tang, Jay Liu, Tomiko Oskotsky, Sarah Woldemariam, Idit Kosti, Brian Le, Michael Snyder, Linda Giudice, Dara Torgerson, Gary Shaw, David Stevenson, Aleksandar Rajkovic, Nima Aghaeepour, M. Glymour, Hakan Cakmak, Ruth Lathi, Marina Sirota
Recurrent pregnancy loss (RPL), defined as 2 or more pregnancy losses, affects 5-6% of ever-pregnant individuals. Approximately half of these cases have no identifiable explanation. To generate hypotheses about RPL etiologies, we implemented a case-c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b79385066bf812e4f1b091bafa0d50c4
https://doi.org/10.21203/rs.3.rs-2631220/v2
https://doi.org/10.21203/rs.3.rs-2631220/v2
Autor:
Alice Tang, Katherine P. Rankin, Gabriel Cerono, Silvia Miramontes, Hunter Mills, Jacquelyn Roger, Billy Zeng, Charlotte Nelson, Karthik Soman, Sarah Woldemariam, Yaqiao Li, Albert Lee, Riley Bove, Maria Glymour, Tomiko Oskotsky, Zachary Miller, Isabel Allen, Stephan J. Sanders, Sergio Baranzini, Marina Sirota
Early identification of Alzheimer’s Disease (AD) risk can aid in interventions before disease progression. We demonstrate that electronic health records (EHRs) combined with heterogeneous knowledge networks (e.g., SPOKE) allow for (1) prediction of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a523fe8f3e4bb3aac24b657d7863dacd
https://doi.org/10.1101/2023.03.14.23287224
https://doi.org/10.1101/2023.03.14.23287224