Computational gene expression profiling in the exploration of biomarkers, non-coding functional RNAs and drug

S Aishwarya1,2, K Gunasekaran2, A Anita Margret3

  • 1Department of Bioinformatics, Stella Maris College, Chennai, Tamil Nadu, India.

Insights

This study analyzes gene expression in COVID-19 lungs, revealing altered metabolism and host responses. It identifies potential biomarkers and drugs like Digoxin and Proscillaridin for therapeutic intervention against SARS-CoV-2.

Area of Science:

  • Genomics
  • Molecular Biology
  • Virology

Background:

  • The COVID-19 pandemic, caused by SARS-CoV-2, necessitates a deeper understanding of molecular mechanisms for effective treatment.
  • Current research focuses on finding antivirals, but host response pathways are crucial for halting disease progression.

Purpose of the Study:

  • To compare gene expression datasets from COVID-19 infected lung tissues.
  • To identify key molecular mechanisms, pathways, and potential therapeutic targets involved in the host response to SARS-CoV-2 infection.

Main Methods:

  • Comparative analysis of COVID-19 lung tissue gene expression datasets (GSE155241, GSE150316) using GEO2R-limma.
  • Annotation of differentially expressed genes, pathway enrichment analysis, and identification of transcription factors, noncoding RNAs, and drug perturbations.
  • Molecular docking studies to validate therapeutic potential of candidate drugs.

Main Results:

  • Identified significant alterations in mitochondrial respiration, cytokine signaling, neurodegeneration, and nutrient transport.
  • Revealed SARS-CoV-2 hijacking of ubiquitination, histone modification, and miRNA biogenesis.
  • Predicted long non-coding RNAs (e.g., TTTY15, TPTEP1) and drugs (e.g., Digoxin, Proscillaridin) with therapeutic potential.
  • Proposed MDH1, SGCE, PFKFB3 as diagnostic biomarkers and PGM5, ISLR, ANK2 as prognostic biomarkers.

Conclusions:

  • The study provides significant insights into the molecular underpinnings of COVID-19 pathogenesis.
  • Identified potential diagnostic and prognostic biomarkers for improved patient management.
  • Highlighted therapeutic strategies involving drug repurposing and targeting specific host response pathways.

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