# Single-Cell RNA-Seq Profiling of Transposable Element Expression in Human Peripheral Blood Cells During Viral Infections

**Authors:** Oleg D. Fateev, Vasily E. Akimov, Olga V. Glushkova, Aleksandr V. Bolbat, Azat V. Abdullatypov, Olga A. Antonova, Vladimir V. Shiryagin, Nikolai A. Bugaev-Makarovsky, Vladimir S. Yudin, Anton A. Keskinov, Sergei M. Yudin, Dmitriy V. Svetlichny, Veronika I. Skvortsova

PMC · DOI: 10.3390/ijms27031286 · International Journal of Molecular Sciences · 2026-01-28

## TL;DR

This study uses single-cell RNA sequencing to explore how transposable elements in human blood cells respond during viral infections like influenza, HIV, and SARS-CoV-2.

## Contribution

The study identifies cell-specific transposable element expression patterns linked to disease severity and progression in viral infections.

## Key findings

- LINE element expression is more disease-dependent than SINE elements during viral infections.
- Precursor cytotoxic T-lymphocytes show the most variable transposable element expression profiles.
- Key transposable elements could serve as biomarkers or therapeutic targets for viral diseases.

## Abstract

Transposable elements (TEs) are key regulators of immunity in both health and disease. It has been proven that the activity and transcriptional expression levels of TEs increase during viral infections, correlating with the antiviral response. This study investigates non-LTR TE (LINE, SINE, and SVA) transcriptomic signatures in human PBMCs during infections caused by influenza A virus, HIV, and SARS-CoV-2 (Delta/Omicron variants) using single-cell RNA sequencing (scRNA-seq) data from 98 patients. In the HIV and SARS-CoV-2 patient cohorts, unique cell-specific TE expression patterns were identified that allow for the differentiation of disease severity, prediction of disease progression, and assessment of the therapy’s efficacy. The expression of LINE elements was found to be more dependent on the nature and course of the disease than that of SINE elements. The most variable TE expression profile was observed in precursor cytotoxic T-lymphocytes (T CD8+ Naive cells), which depended on the virus type and the severity of the viral disease. For this cell type, a bioinformatic analysis of the co-expression regulation of TE transcriptional networks and transcription factors during viral infections was performed. This analysis identified key players among those most involved in virus-specific responses, which could serve as diagnostic biomarkers or therapeutic targets for treating diseases caused by influenza A virus, HIV, and SARS-CoV-2. This work confirms the involvement of non-LTR TEs in mediating antiviral responses. Further research into the mechanisms of TE participation in antiviral defense is necessary to recommend them as potential biomarkers for the diagnosis, monitoring, and assessment of antiviral therapy, or as therapeutic targets for viral infections of various origins.

## Linked entities

- **Diseases:** SARS-CoV-2 (MONDO:0100096)
- **Species:** Homo sapiens (taxon 9606)

## Full-text entities

- **Genes:** CD8A (CD8 subunit alpha) [NCBI Gene 925] {aka CD8, CD8alpha, IMD116, Leu2, p32}
- **Diseases:** Viral Infections (MESH:D014777), infections (MESH:D007239)
- **Species:** Homo sapiens (human, species) [taxon 9606], Severe acute respiratory syndrome coronavirus 2 (no rank) [taxon 2697049], Influenza A virus (no rank) [taxon 11320], Human immunodeficiency virus 1 (no rank) [taxon 11676]

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12898442/full.md

## References

89 references — full list in the complete paper: https://tomesphere.com/paper/PMC12898442/full.md

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Source: https://tomesphere.com/paper/PMC12898442