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High-throughput Quantitative Real-time RT-PCR Assay for Determining Expression Profiles of Types I and III Interferon Subtypes
Published on: March 24, 2015
Microheterogeneity in the Kinetics and Sex-Specific Response to Type I IFN
Shani T Gal-Oz1, Alev Baysoy2, Brinda Vijaykumar2
1Department of Life Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Type I interferon (IFN) signature gene (ISG) expression varies between immune cells and sexes. Female cells show faster ISG responses than male cells, impacting viral infection outcomes.
Area of Science:
- Immunology
- Molecular Biology
- Genetics
Background:
- Type I interferons (IFNs) rapidly induce IFN signature genes (ISGs).
- Cell population studies suggest coordinated ISG expression, but individual cell responses remain unclear.
- Understanding ISG heterogeneity is crucial for deciphering immune responses.
Purpose of the Study:
- To investigate the heterogeneity of ISG induction kinetics at the single-cell level.
- To compare ISG response dynamics across different immune cell types (macrophages, B cells, T cells).
- To identify potential sex-based differences in IFN responses.
Main Methods:
- Time-resolved single-cell RNA sequencing of mouse immune cells post-IFN stimulation.
- Analysis of ISG induction kinetics and gene module coordination.
- Velocity analysis to assess response progression and transcription rates.
Main Results:
- ISGs were generally induced in concert across all cell types.
- Macrophages exhibited homogeneous ISG kinetics, while B and T lymphocytes showed greater diversity, including nonresponsive cells.
- Female cells displayed faster ISG induction kinetics than male cells.
- Negative feedback rapidly curtailed responses in B and T lymphocytes compared to macrophages.
Conclusions:
- While ISGs act as a cohesive gene block, their response kinetics exhibit significant cell-type and sex-specific variations.
- These kinetic differences, particularly sex differences, may influence differential susceptibility and outcomes in viral infections.
- Single-cell analysis reveals crucial heterogeneity masked by population-level studies.
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