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Pathogens & Immunity|January 31, 2024
Machine Learning Bolsters Evidence That D1, Nef, and Tat Influence HIV Reservoir DynamicsLaMont Cannon, Sophia Fehrman, Marilia Pinzone, et al.
Virology|February 3, 2011
HIV reservoirs and latency modelsMatthew J Pace, Luis Agosto, Erin H Graf, et al.
Transfusion|February 1, 2013
The evolving role of plerixafor in hematopoietic progenitor cell mobilizationYvette C Tanhehco, Dan T Vogl, Edward A Stadtmauer, et al.
AIDS Research and Human Retroviruses|May 1, 2004
Long HIV type 1 reverse transcripts can accumulate stably within resting CD4+ T cells while short ones are degradedWilliam J Swiggard, Una O'Doherty, David McGain, et al.
Journal of Virology|October 9, 2002
A sensitive, quantitative assay for human immunodeficiency virus type 1 integrationUna O'Doherty, William J Swiggard, Deepa Jeyakumar, et al.
Journal of Virology|February 14, 2020
Next-Generation Sequencing in a Direct Model of HIV Infection Reveals Important Parallels to and Differences from In Vivo Reservoir DynamicsMarilia Rita Pinzone, Maria Paola Bertuccio, D Jake VanBelzen, et al.
Transfusion and Apheresis Science : Official Journal of the World Apheresis Association : Official Journal of the European Society for Haemapheresis|January 9, 2019
More efficient exchange of sickle red blood cells can be achieved by exchanging the densest red blood cells: An ex vivo proof of concept studySuzanne R Thibodeaux, Yvette C Tanhehco, Leah Irwin, et al.
AIDS (London, England)|June 25, 2009
HIV integration site distributions in resting and activated CD4+ T cells infected in cultureTroy Brady, Luis M Agosto, Nirav Malani, et al.
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