5 Works

Tumor control via targeting PD-L1 with chimeric antigen receptor modified NK cells

Clint Allen
Failed T cell-based immunotherapies in the presence of genomic alterations in antigen presentations pathways may be overcome by NK cell-based immunotherapy. This approach may still be limited by the presence of immunosuppressive myeloid populations. Here we demonstrate that NK cells (haNKs) engineered to express a PD-L1 chimeric antigen receptor (CAR) haNKs killed a panel of human and murine head and neck cancer cells at low effector-to-target ratios in a PD-L1-dependent fashion. Treatment of syngeneic tumors...

Thermodynamic and Nuclear Magnetic Resonance Study of the Reactions of α- and β-Cyclodextrin with Acids, Aliphatic Amines, and Cyclic Alcohols

Mikhail V. Rekharsky, Martin P. Mayhew, Robert N. Goldberg, Philip D. Ross, Yuko Yamashoji & Yoshihisa Inoue
Titration calorimetry was used to determine equilibrium constants and standard molar enthalpy, Gibbs energy, and entropy changes for the reactions of a series of acids, amines, and cyclic alcohols with α- and β-cyclodextrin. The results have been examined in terms of structural features in the ligands such as the number of alkyl groups, the charge number, the presence of a double bond, branching, and the presence of methyl and methoxy groups. The values of thermodynamic...

Harnessing clinical annotations to improve deep learning performance in prostate segmentation

Karthik V. Sarma, Alex G. Raman, Nikhil J. Dhinagar, Alan M. Priester, Stephanie Harmon, Thomas Sanford, Sherif Mehralivand, Baris Turkbey, Leonard S. Marks, Steven S. Raman, William Speier & Corey W. Arnold
Purpose Developing large-scale datasets with research-quality annotations is challenging due to the high cost of refining clinically generated markup into high precision annotations. We evaluated the direct use of a large dataset with only clinically generated annotations in development of high-performance segmentation models for small research-quality challenge datasets. Materials and methods We used a large retrospective dataset from our institution comprised of 1,620 clinically generated segmentations, and two challenge datasets (PROMISE12: 50 patients, ProstateX-2: 99...

Atlas of impact-induced, in vivo human brain kinematics

Arnold Gomez, Philip Bayly, John Butman, Dzung Pham, Jerry Prince & Andrew Knutsen
Accelerations cause brain tissue to move, and this data summarizes MRI-based observations of 3D brain movement during an in vivo impact (brain-skull displacement and brain tissue deformation). The data is a group average, or atlas, of indivudial data from two groups of study participants: neck extension (n=10) and neck rotation (n=9).

Ripples reflect a spectrum of synchronous spiking activity in human anterior temporal lobe

Ai Phuong Tong, Alex Vaz, John Wittig, Sara Inati & Kareem Zaghloul
Direct brain recordings have provided important insights into how high-frequency activity captured through intracranial EEG (iEEG) supports human memory retrieval. The extent to which such activity is comprised of transient fluctuations that reflect the dynamic coordination of underlying neurons, however, remains unclear. Here, we simultaneously record iEEG, local field potential (LFP), and single unit activity in the human temporal cortex. We demonstrate that fast oscillations within the previously identified 80–120 Hz ripple band contribute to...

Registration Year

  • 2021
    5

Resource Types

  • Dataset
    5

Affiliations

  • National Institutes of Health
    5
  • Duke University
    1
  • Johns Hopkins University
    1
  • Washington University in St. Louis
    1
  • SUNY Upstate Medical University
    1
  • University of California Los Angeles
    1
  • Henry M. Jackson Foundation
    1