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Updated: Feb 14, 2026

Isolating Human Peripheral Blood Mononuclear Cells and CD4+ T cells from Sézary Syndrome Patients for Transcriptomic Profiling
Published on: October 14, 2021
Single-Cell RNA-Seq Profiling of Transposable Element Expression in Human Peripheral Blood Cells During Viral
Oleg D Fateev1, Vasily E Akimov1, Olga V Glushkova1
1Federal State Budgetary Institution "Center for Strategic Planning and Management of Biomedical Health Risks" of the Federal Medical-Biological Agency (FSBI "CSP" of FMBA of Russia), Pogodinskaya str. 10, bld. 1, Moscow 119435, Russia.
Transposable elements (TEs) regulate immunity. This study found unique non-LTR TE expression patterns in viral infections like HIV and SARS-CoV-2, aiding disease assessment and identifying potential biomarkers.
Area of Science:
- Immunology
- Genomics
- Virology
Background:
- Transposable elements (TEs) are crucial for immune regulation, with increased activity during viral infections.
- Non-LTR TEs (LINE, SINE, SVA) show altered expression correlating with antiviral responses.
Purpose of the Study:
- Investigate non-LTR TE transcriptomic signatures in human PBMCs during influenza A, HIV, and SARS-CoV-2 infections.
- Identify cell-specific TE patterns for disease severity assessment, progression prediction, and therapy evaluation.
- Analyze TE co-expression networks in cytotoxic T cells to find diagnostic and therapeutic targets.
Main Methods:
- Single-cell RNA sequencing (scRNA-seq) on 98 patient samples.
- Bioinformatic analysis of transcriptomic data.
- Co-expression network analysis of TEs and transcription factors.
Main Results:
- Unique cell-specific non-LTR TE expression patterns identified in HIV and SARS-CoV-2 cohorts.
- TE expression linked to disease severity, progression, and treatment efficacy.
- Precursor cytotoxic T cells showed the most variable TE expression, dependent on virus and disease severity.
- Key regulatory players in TE networks identified as potential biomarkers.
Conclusions:
- Non-LTR TEs are involved in mediating antiviral responses.
- Cell-specific TE signatures can differentiate disease severity and predict progression.
- Identified TE-associated networks and transcription factors offer potential diagnostic biomarkers and therapeutic targets for viral infections.
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