Literature DB >> 26138068

A passive-flow microfluidic device for imaging latent HIV activation dynamics in single T cells.

Ramesh Ramji1, Victor C Wong2, Arvind K Chavali1, Larisa M Gearhart1,3, Kathryn Miller-Jensen1,2.   

Abstract

Quantifying cell-to-cell variability in drug response dynamics is important when evaluating therapeutic efficacy. For example, optimizing latency reversing agents (LRAs) for use in a clinical "activate-and-kill" strategy to purge the latent HIV reservoir in patients requires minimizing heterogeneous viral activation dynamics. To evaluate how heterogeneity in latent HIV activation varies across a range of LRAs, we tracked drug-induced response dynamics in single cells via live-cell imaging using a latent HIV-GFP reporter virus in a clonal Jurkat T cell line. To enable these studies in suspension cells, we designed a simple method to capture an array of single Jurkat T cells using a passive-flow microfluidic device. Our device, which does not require external pumps or tubing, can trap hundreds of cells within minutes with a high retention rate over 12 hours of imaging. Using this device, we quantified heterogeneity in viral activation stimulated by transcription factor (TF) activators and histone deacetylase (HDAC) inhibitors. Generally, TF activators resulted in both faster onset of viral activation and faster rates of production, while HDAC inhibitors resulted in more uniform onset times, but more heterogeneous rates of production. Finally, we demonstrated that while onset time of viral gene expression and rate of viral production together predict total HIV activation, rate and onset time were not correlated within the same individual cell, suggesting that these features are regulated independently. Overall, our results reveal drug-specific patterns of noisy HIV activation dynamics not previously identified in static single-cell assays, which may require consideration for the most effective activate-and-kill regime.

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Year:  2015        PMID: 26138068      PMCID: PMC4558391          DOI: 10.1039/c5ib00094g

Source DB:  PubMed          Journal:  Integr Biol (Camb)        ISSN: 1757-9694            Impact factor:   2.192


  51 in total

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Authors:  Christine M Durand; Joel N Blankson; Robert F Siliciano
Journal:  Trends Immunol       Date:  2012-08-03       Impact factor: 16.687

Review 4.  Targeting HIV latency: pharmacologic strategies toward eradication.

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Journal:  Drug Discov Today       Date:  2012-12-25       Impact factor: 7.851

Review 5.  Heterogeneity in immune responses: from populations to single cells.

Authors:  Rahul Satija; Alex K Shalek
Journal:  Trends Immunol       Date:  2014-04-16       Impact factor: 16.687

6.  Modulating cell-to-cell variability and sensitivity to death ligands by co-drugging.

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7.  Stochastic fate selection in HIV-infected patients.

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8.  Stochastic variability in HIV affects viral eradication.

Authors:  Igor M Rouzine; Brandon S Razooky; Leor S Weinberger
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Journal:  PLoS Pathog       Date:  2009-01-09       Impact factor: 6.823

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  13 in total

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3.  Single-cell resolution of intracellular T cell Ca2+ dynamics in response to frequency-based H2O2 stimulation.

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4.  Fold-Change Detection of NF-κB at Target Genes with Different Transcript Outputs.

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5.  NF-κB-Chromatin Interactions Drive Diverse Phenotypes by Modulating Transcriptional Noise.

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Journal:  Cell Rep       Date:  2018-01-16       Impact factor: 9.423

6.  Microfluidic platform enables live-cell imaging of signaling and transcription combined with multiplexed secretion measurements in the same single cells.

Authors:  Ramesh Ramji; Amanda F Alexander; Andrés R Muñoz-Rojas; Laura N Kellman; Kathryn Miller-Jensen
Journal:  Integr Biol (Camb)       Date:  2019-04-01       Impact factor: 2.192

Review 7.  Challenges and Opportunities for T-Cell-Mediated Strategies to Eliminate HIV Reservoirs.

Authors:  Mark A Brockman; R Brad Jones; Zabrina L Brumme
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Review 8.  Microfluidics in Single-Cell Virology: Technologies and Applications.

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Journal:  Trends Biotechnol       Date:  2020-05-16       Impact factor: 19.536

9.  Distinct promoter activation mechanisms modulate noise-driven HIV gene expression.

Authors:  Arvind K Chavali; Victor C Wong; Kathryn Miller-Jensen
Journal:  Sci Rep       Date:  2015-12-15       Impact factor: 4.379

10.  Label-free and real-time monitoring of single cell attachment on template-stripped plasmonic nano-holes.

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Journal:  Sci Rep       Date:  2017-09-08       Impact factor: 4.379

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