Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network

Open Access. Powered by Scholars. Published by Universities.®

Articles, Abstracts, and Reports

Series

2019

Datasets as Topic

Articles 1 - 2 of 2

Full-Text Articles in Entire DC Network

Precision Medicine In Pancreatic Disease-Knowledge Gaps And Research Opportunities: Summary Of A National Institute Of Diabetes And Digestive And Kidney Diseases Workshop., Mark E Lowe, Dana K Andersen, Richard M Caprioli, Jyoti Choudhary, Zobeida Cruz-Monserrate, Anil K Dasyam, Christopher E Forsmark, Fred S Gorelick, Joe W Gray, Mark Haupt, Kimberly A Kelly, Kenneth P Olive, Sylvia K Plevritis, Noa Rappaport, Holger R Roth, Hanno Steen, S Joshua Swamidass, Temel Tirkes, Aliye Uc, Kirill Veselkov, David C Whitcomb, Aida Habtezion Nov 2019

Precision Medicine In Pancreatic Disease-Knowledge Gaps And Research Opportunities: Summary Of A National Institute Of Diabetes And Digestive And Kidney Diseases Workshop., Mark E Lowe, Dana K Andersen, Richard M Caprioli, Jyoti Choudhary, Zobeida Cruz-Monserrate, Anil K Dasyam, Christopher E Forsmark, Fred S Gorelick, Joe W Gray, Mark Haupt, Kimberly A Kelly, Kenneth P Olive, Sylvia K Plevritis, Noa Rappaport, Holger R Roth, Hanno Steen, S Joshua Swamidass, Temel Tirkes, Aliye Uc, Kirill Veselkov, David C Whitcomb, Aida Habtezion

Articles, Abstracts, and Reports

A workshop on research gaps and opportunities for Precision Medicine in Pancreatic Disease was sponsored by the National Institute of Diabetes and Digestive Kidney Diseases on July 24, 2019, in Pittsburgh. The workshop included an overview lecture on precision medicine in cancer and 4 sessions: (1) general considerations for the application of bioinformatics and artificial intelligence; (2) omics, the combination of risk factors and biomarkers; (3) precision imaging; and (4) gaps, barriers, and needs to move from precision to personalized medicine for pancreatic disease. Current precision medicine approaches and tools were reviewed, and participants identified knowledge gaps and research needs …


Pathologic Gene Network Rewiring Implicates Ppp1r3a As A Central Regulator In Pressure Overload Heart Failure., Pablo Cordero, Victoria N Parikh, Elizabeth T Chin, Ayca Erbilgin, Michael J Gloudemans, Ching Shang, Yong Huang, Alex C Chang, Kevin S Smith, Frederick Dewey, Kathia Zaleta, Michael Morley, Jeff Brandimarto, Nicole Glazer, Daryl Waggott, Aleksandra Pavlovic, Mingming Zhao, Christine S Moravec, W H Wilson Tang, Jamie Skreen, Christine Malloy, Sridhar Hannenhalli, Hongzhe Li, Scott Ritter, Mingyao Li, Daniel Bernstein, Andrew Connolly, Hakon Hakonarson, Aldons J Lusis, Kenneth B Margulies, Anna A Depaoli-Roach, Stephen B Montgomery, Matthew T Wheeler, Thomas Cappola, Euan A Ashley Jun 2019

Pathologic Gene Network Rewiring Implicates Ppp1r3a As A Central Regulator In Pressure Overload Heart Failure., Pablo Cordero, Victoria N Parikh, Elizabeth T Chin, Ayca Erbilgin, Michael J Gloudemans, Ching Shang, Yong Huang, Alex C Chang, Kevin S Smith, Frederick Dewey, Kathia Zaleta, Michael Morley, Jeff Brandimarto, Nicole Glazer, Daryl Waggott, Aleksandra Pavlovic, Mingming Zhao, Christine S Moravec, W H Wilson Tang, Jamie Skreen, Christine Malloy, Sridhar Hannenhalli, Hongzhe Li, Scott Ritter, Mingyao Li, Daniel Bernstein, Andrew Connolly, Hakon Hakonarson, Aldons J Lusis, Kenneth B Margulies, Anna A Depaoli-Roach, Stephen B Montgomery, Matthew T Wheeler, Thomas Cappola, Euan A Ashley

Articles, Abstracts, and Reports

Heart failure is a leading cause of mortality, yet our understanding of the genetic interactions underlying this disease remains incomplete. Here, we harvest 1352 healthy and failing human hearts directly from transplant center operating rooms, and obtain genome-wide genotyping and gene expression measurements for a subset of 313. We build failing and non-failing cardiac regulatory gene networks, revealing important regulators and cardiac expression quantitative trait loci (eQTLs). PPP1R3A emerges as a regulator whose network connectivity changes significantly between health and disease. RNA sequencing after PPP1R3A knockdown validates network-based predictions, and highlights metabolic pathway regulation associated with increased cardiomyocyte size and …