Integrated single-cell multiomic analysis of HIV latency reversal reveals novel regulators of viral reactivation.
A. Manickam, J. J. Peterson, Y. Harigaya, D. M. Murdoch, D. M. Margolis, A. Oesterling, Z. Guo, C. D. Rudin, Y. Jiang, E. P. Browne
The paper uses single-cell RNA-seq and ATAC-seq to analyze HIV latency reversal, identifying GATA3 as a novel regulator and demonstrating a machine learning model's predictive accuracy.
bioRxiv · Jul 26, 2022 · PreprintMicrobiology