bioRxivMicrobiologyPreprint
Extreme high-diversity barcoded HIV library enables single cell multi-omics analysis of viral expression and fate determination
Tian-hao ZhangiD, Sheng LiiD, Xiangzhi MengiD, Wenjin Lai, Yushen DuiD, Yuan ShiiD, Jing WeniD, Masakazu KamataiD, Sumit K. ChandaiD, I.S.Y. Chen, Ren X. SuniD
Abstract
HIV-1 persists as a global health challenge due to its ability to establish latent reservoirs that evade eradication by antiretroviral therapy (ART). This study introduces a high-diversity barcoded HIV-1 library combined with a novel peptide barcode system to enable single-cell multi-dimensional analysis of viral integration, transcription, splicing, and translation of distinct viral mRNA isoform. Our method revealed over 80 distinct HIV-1 splicing isoforms and uncovered significant temporal variation in mRNA diversity, driven by integration site and chromatin context. By linking HIV-1 5UTR with peptide barcoding, we quantified the translation efficiency of alternative 5' UTRs and demonstrated correlations with abundance of each viral mRNA isoform. Additionally, we showed that latency reversal agents, such as SAHA and Bryostatin, selectively reactivate proviruses depending on their genomic and chromatin context and leads to distinct viral RNA splicing program. This platform revealed the diversity of HIV-infected cells at levels of transcripts as well as at proteins, and subsequently the fate determination. The detailed understanding of the stochastic diversity and dynamic nature of HIV-1 latency, inform the development of targeted therapies to eliminate latent reservoirs.
- organism: virus
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: deep learning
- approach: statistical model
- Citations
- 1
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