3 Works

Data from: Loss of mTORC2 signaling in oligodendrocyte precursor cells delays myelination

Mark D. Grier, Kathryn L. West, Nathaniel D. Kelm, Cary Fu, Mark D. Does, Brittany Parker, Eleanor McBrier, Andre H. LaGrange, Kevin C. Ess & Robert P. Carson
Myelin abnormalities are increasingly being recognized as an important component of a number of neurologic developmental disorders. The integration of many signaling pathways and cell types are critical for correct myelinogenesis. The PI3-K and mechanistic target of rapamycin (mTOR) pathways have been found to play key roles. mTOR is found within two distinct complexes, mTORC1 and mTORC2. mTORC1 activity has been shown to play a major role during myelination, while the role of mTORC2 is...

Data from: It’s all in the timing: calibrating temporal penalties for biomedical data sharing

Weiyi Xia, Zhiyu Wan, Zhijun Yin, James Gaupp, Yongtai Liu, Ellen Wright Clayton, Murat Kantarcioglu, Yevgeniy Vorobeychik & Bradley A. Malin
Objective: Biomedical science is driven by datasets that are being accumulated at an unprecedented rate, with ever-growing volume and richness. There are various initiatives to make these datasets more widely available to recipients who sign Data Use Certificate agreements, whereby penalties are levied for violations. A particularly popular penalty is the temporary revocation, often for several months, of the recipient’s data usage rights. This policy is based on the assumption that the value of biomedical...

Data from: Mapping polyclonal HIV-1 antibody responses via next-generation neutralization fingerprinting

Nicole A. Doria-Rose, Han R. Altae-Tran, Ryan S. Roark, Stephen D. Schmidt, Matthew S. Sutton, Mark K. Louder, Gwo-Yu Chuang, Robert T. Bailer, Valerie Cortez, Rui Kong, Krisha McKee, Sijy O'Dell, Felicia Wang, Salim S. Abdool Karim, James M. Binley, Mark Connors, Barton F. Haynes, Malcolm A. Martin, David C. Montefiori, Lynn Morris, Julie Overbaugh, Peter D. Kwong, John R. Mascola, Ivelin S. Georgiev & Sijy O’Dell
Computational neutralization fingerprinting, NFP, is an efficient and accurate method for predicting the epitope specificities of polyclonal antibody responses to HIV-1 infection. Here, we present next-generation NFP algorithms that substantially improve prediction accuracy for individual donors and enable serologic analysis for entire cohorts. Specifically, we developed algorithms for: (a) selection of optimized virus neutralization panels for NFP analysis, (b) estimation of NFP prediction confidence for each serum sample, and (c) identification of sera with potentially...

Registration Year

  • 2017
    3

Resource Types

  • Dataset
    3

Affiliations

  • Vanderbilt University Medical Center
    3
  • Vanderbilt University
    2
  • Fred Hutchinson Cancer Research Center
    1
  • University of Washington
    1
  • Columbia University
    1
  • Duke University
    1
  • National Institutes of Health
    1
  • Duke University School of Medicine
    1
  • San Diego Biomedical Research Institute
    1
  • University of the Witwatersrand
    1