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Interferon gamma transcript detection on T cells based on magnetic actuation and multiplex double-tagging
Soledad Carinelli1, Cristina Xufré2, Mercè Martí2
1Grup de Sensors i Biosensors, Departament de Química, Spain.
Biosensors & Bioelectronics
|June 15, 2018
Summary
A new interferon-gamma release assay (IGRA) quantifies interferon-gamma transcripts from T cells. This sensitive method uses magnetic separation and electrochemical genosensing for potential use in diagnosing infections and monitoring diseases.
Area of Science:
- Immunology
- Biotechnology
- Clinical Diagnostics
Background:
- Interferon-gamma (IFN-γ) is a key proinflammatory cytokine crucial for host defense against intracellular pathogens.
- Elevated IFN-γ levels serve as a biomarker for intracellular infections, cancers, and autoimmune disorders.
- Monitoring IFN-γ is vital for assessing disease progression and treatment efficacy in various non-communicable diseases.
Purpose of the Study:
- To develop a novel interferon-gamma release assay (IGRA) for quantifying interferon-γ transcripts.
- To utilize isolated T cells as the source for interferon-γ transcript detection.
- To establish a sensitive and efficient method for biomarker quantification in clinical applications.
Main Methods:
- Sequential magnetic separation techniques, including immunomagnetic separation of T cells using anti-CD3 particles.
- Retrotranscription and multiplex double-tagging PCR on polydT-modified magnetic particles.
- Electrochemical genosensing on streptavidin magnetic particles for transcript detection.
Main Results:
- Quantification of cellular interferon-γ produced by as few as 150 T cells.
- Detection of interferon-γ transcripts from 100 μL of whole blood, suitable for fingerprick sampling.
- Demonstrated outstanding analytical features for the developed assay.
Conclusions:
- The novel IGRA offers a sensitive and efficient method for quantifying interferon-γ transcripts.
- The assay's ability to use small blood volumes and fingerprick sampling makes it clinically advantageous.
- This approach presents a promising strategy for interferon-γ biomarker quantification in diverse clinical settings.
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