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In Vitro Assay to Evaluate the Impact of Immunoregulatory Pathways on HIV-specific CD4 T Cell Effector Function
Published on: October 15, 2013
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HIV Infection Elicits Differential Transcriptomic Remodeling in CD4+ T Cells with Variable Proliferative Responses to
Xinlian Zhang1, Savitha Deshmukh2, Amey Mukim2
1Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA 92093, USA.
Pathogens (Basel, Switzerland)
|April 28, 2023
Summary
Identifying cellular biomarkers for latent HIV infection is crucial for reservoir detection and elimination. Early gene expression changes after HIV infection, dependent on T cell receptor signaling and cell division, may indicate future latency biomarkers.
Area of Science:
- Immunology
- Virology
- Genomics
Background:
- Latent HIV infection establishes a reservoir, hindering viral eradication.
- Current latency biomarkers identify only a portion of the HIV reservoir.
- HIV latency can arise in both dividing and resting cells.
Purpose of the Study:
- To investigate transcriptomic changes during early HIV infection in cells with varying proliferative responses.
- To understand how T cell receptor (TCR) signaling influences HIV latency establishment.
- To identify potential cellular biomarkers for latent HIV infection based on early cellular states.
Main Methods:
- Monitoring cell proliferation using carboxyfluorescein diacetate succinimidyl ester (CFSE).
- Performing single-cell RNA sequencing on cells with different division histories post-HIV infection.
- Analyzing transcriptomic remodeling induced by HIV infection and TCR stimulation.
Main Results:
- HIV infection induced transcriptional changes, some independent of cell division number.
- Distinct transcriptional responses were observed in different cell subsets.
- Early gene expression changes correlated with known markers of latently infected cells.
Conclusions:
- The cellular proliferative state at the time of HIV infection influences early gene expression.
- These early transcriptional changes may serve as predictive biomarkers for HIV latency.
- Understanding these early events is key to developing strategies for latent HIV reservoir targeting.
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