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

  • Yiyang Lu (Creator)
  • Kathrin Bohn-Wippert (Creator)
  • Patrick J. Pazerunas (Creator)
  • Jennifer M. Moy (Creator)
  • Harpal Singh (Creator)
  • Roy David Dar (Creator)

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.
Date made availableFeb 11 2022
PublisherUniversity of Illinois at Urbana-Champaign

Keywords

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

Cite this