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High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
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Analysis of transcriptomics data from COVID-19 patients: a pilot research
Dominik Hadzega1, Klaudia Babisova1, Michaela Hyblova1
1Medirex Group Academy, Nitra, Slovakia.
Folia Microbiologica
|January 19, 2024
Summary
This study analyzed RNA sequencing data from COVID-19 patients to find biomarkers for disease severity. Key immune and signaling pathways were significantly altered, offering insights into SARS-CoV-2 infection progression.
Area of Science:
- Molecular Biology
- Immunology
- Genomics
Background:
- SARS-CoV-2 infection causes host cells to produce viral particles.
- Infected cells undergo significant pathway alterations, including cytokine storms leading to severe symptoms.
Purpose of the Study:
- To identify potential biomarkers associated with COVID-19 disease severity.
- To analyze transcriptomic changes in COVID-19 patients compared to healthy donors.
- To understand altered biological pathways in SARS-CoV-2 infection.
Main Methods:
- Analysis of RNA sequencing (RNA-seq) data from COVID-19 positive patients and negative donors.
- Differential gene expression analysis focusing on COVID-19 positivity and symptom severity.
- Pathway enrichment analysis using Kyoto Encyclopedia of Genes and Genomics (KEGG) terms.
Main Results:
- Identified numerous potential biomarkers related to disease severity.
- Pathway enrichment analysis revealed significant alterations in immune processes and signaling pathways.
- Findings indicate SARS-CoV-2 infection impacts multiple biological pathways.
Conclusions:
- Transcriptomic analysis provides insights into host cell responses to SARS-CoV-2.
- Altered pathways, particularly immune-related ones, are crucial in COVID-19 pathogenesis.
- This study highlights potential biomarkers for predicting COVID-19 disease course.
