Regulatory patterns of differentially expressed genes in Ebola and related viruses are critical for viral screening and diagnosis

Abstract

Background Viral detection techniques and applications are a critical first step to pathogen detection within a given population, especially during outbreaks. Common viral tests currently used are direct specimen examination, indirect examination and serological tests. Serological tests have gained intense interest because they are rapidly performed with patient blood samples for quick diagnosis and treatment. The diagnostic techniques developed around serology are often expensive, require expertise to use and cannot be afforded by developing countries with recurrent viral outbreaks. Therefore exploiting the huge amount of viral data available in various databases is critical to develop affordable and easy-to-use diagnostic tools. Methods This study obtained viral sample data from Gene Expression Omnibus database with focus on use of viral glycoprotein for host penetration. Gene relative mean across 34 obtained viral samples were extracted into data tables and used with edgeR statistical software in R version 3.3.1. Results Three clusters previously known to be LCK specific (Ebola virus relative viral cluster, EBOVC), CD209 specific (Mean differentiation cluster, MDC) and both LCK and CD209 specific (Kurtosis group cluster, KGC), expressed unique patterns of four proteins of interest (CD209, LCK, IL-2 and MYB). Differential expression analysis showed two cluster patterns on heatmaps, with differentially expressed proteins down-regulated in MDC but up-regulated in KGC and EBOVC for all pairwise cluster comparative analyses performed. Heatmaps showed two distinct immune related patterns, identifying MDC as B-lymphotropic while KGC and EBOVC as T-lymphotropic. Identified pathways were dominantly involved with homeostasis of immune cells and viral cell surface receptors involved in protein kinase activities. Conclusions Regulatory proteomic variants identified in clusters suggest transcription repression of HLA class I alleles. This study identified viral expression patterns with screening and therapeutic applications. Given that the viral pathogenetic pathway for Ebola has not been clearly identified yet, assembling its components is vital for vaccine development.