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John C. Burnett

Researcher at Beckman Research Institute

Publications -  54
Citations -  4292

John C. Burnett is an academic researcher from Beckman Research Institute. The author has contributed to research in topics: Systematic evolution of ligands by exponential enrichment & Aptamer. The author has an hindex of 25, co-authored 52 publications receiving 3880 citations. Previous affiliations of John C. Burnett include University of California, Berkeley & City of Hope National Medical Center.

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RNA-based therapeutics: current progress and future prospects.

TL;DR: Promising results from recent clinical trials suggest that barriers to clinical progress of RNA-based drugs may be overcome with improved synthetic delivery carriers and chemical modifications of the RNA therapeutics.
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Stochastic Gene Expression in a Lentiviral Positive-Feedback Loop: HIV-1 Tat Fluctuations Drive Phenotypic Diversity

TL;DR: In this article, the authors present an extensive experimental/computational study of an HIV-1 model vector (LTR-GFP-IRES-Tat) and show that stochastic fluctuations in Tat influence the viral latency decision.
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Stochastic Gene Expression in a Lentiviral Positive Feedback Loop: HIV-1 Tat Fluctuations Drive Phenotypic Diversity

TL;DR: Stochastic computational modeling successfully accounted for PheB and correctly predicted the dynamics of a Tat mutant that were subsequently confirmed by experiment, illustrating the importance of stochastic fluctuations in gene expression in a mammalian system.
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Current progress of siRNA/shRNA therapeutics in clinical trials

TL;DR: An overview of siRNA therapeutics in clinical trials is provided, including their clinical progress, the challenges they have encountered, and the future they hold in the treatment of human diseases.