Illinois Data Bank

Time-lapse Fluorescence Microscopy Images and Gene Expression Data of Single T-Cells Infected with a Minimal HIV Feedback Circuit under 1,806 Drug Treatments

Cite this dataset:
Lu, Yiyang; Bohn-Wippert, Kathrin; Pazerunas, Patrick J.; Moy, Jennifer M.; Singh, Harpal; Dar, Roy D. (2022): Time-lapse Fluorescence Microscopy Images and Gene Expression Data of Single T-Cells Infected with a Minimal HIV Feedback Circuit under 1,806 Drug Treatments. University of Illinois Urbana-Champaign. https://doi.org/10.13012/B2IDB-8103861_V1

Dataset Description

Upon treatment removal, spontaneous and random reactivation of latently infected T cells remains a major barrier toward curing HIV. Due to its stochastic nature, fluctuations in gene expression (or “noise”) can bias HIV reactivation from latency, and conventional drug screens for mean gene expression neglect compounds that modulate noise. Here we present a time-lapse fluorescence microscopy image set obtained from a Jurkat T-cell line, infected with a minimal HIV gene circuit, treated with 1,806 small molecule compounds, and imaged for 48 hours. In addition, the single-cell time-dependent reporter dynamics (single-cell gene expression intensity and noise trajectories) extracted from the image dataset are included. Based on this dataset, a total of 5 latency promoting agents of HIV was found through further experimentation in Lu et al., PNAS 2021 (doi: 10.1073/pnas.2012191118).

For a detailed description of the dataset, please refer to the readme file.

Subject

Life Sciences

Keywords

 HIV; latency; drug screen; fluorescence microscopy; time-lapse; microscopy; single-cell data; noise; gene expression fluctuation;

License

 See license.txt file in dataset.

Funder

 U.S. National Institutes of Health (NIH)-Grant:AI120746

Funder

 U.S. National Science Foundation (NSF)-Grant:1943740

Corresponding Creator

 Roy D. Dar

Downloaded

 4905 times
Version DOI Comment Publication Date
1 10.13012/B2IDB-8103861_V1 2022-02-11

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