Based on the great possibilities of multi-omics techniques, researchers are able to gain insight into the pathophysiological processes of viruses and understand the diagnosis, screening and prognosis of viral diseases. Here, we focus on the applications of multi-omics techniques to a range of viruses, including rabies virus (RABV), hepatitis virus, human adenoviruses (HAdVs), severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), influenza viruses (IVs), Ebola virus (EBOV), and mosquito-borne virus.
Multi-omics in rabies virus infection
Rabies is an invariably fatal neurological disease, which seriously threatens human and animal health. In order to achieve improved treatment options as well as the eventual elimination of the disease, a thorough understanding of rabies virus (RABV) pathogenesis is necessary. Although multi-omics data on RABV are not yet available, existing omics studies such as genomics, transcriptomics, proteomics and metabolomics could also contribute to the current understanding of the pathogenesis of rabies.
Hepatitis C virus (HCV) is a major public health threat, the mechanisms of its infection, liver disease progression, and hepatocarcinogenesis need to be further studied. Information on the complex HCV-host interaction and HCV-associated liver disease has been identified based on multi-omics approaches and data analysis (including genomic, proteomic, and metabolomic analyses) from in vivo and in vitro.
Although hepatitis B virus (HBV) poses a significant threat to global public health, the understanding of HBV-host interactions is limited. Based on ribosome profiling, quantitative proteomic technology (stable isotope labeling by/with amino acids in cell culture, SILAC), and RNA-sequencing analysis, the multi-omics landscape of the HBV-host interaction was generated, which will facilitate the development of anti-HBV treatment.
Multi-omics in adenovirus infection
Human adenoviruses (HAdVs) achieve their effective lytic mode of replication by reprogramming host-cell gene expression and real-time fine-tuning of viral gene expression. Thanks to the advent of multi-omics methods, it has been possible to characterize HAV and host cell interference with unprecedented resolution.
Multi-omics in SARS-CoV-2 infection
In the context of the current coronavirus disease 2019 (COVID-19) pandemic, rapid identification and understanding of the SARS-COV-2 virus and related COVID-19 at the molecular and cellular levels is critical. Multi-omic technologies that can help to identify biomarkers and drug targets of SARS-CoV-2 infection as well as enable the early diagnosis and treatment of COVID-19, have made a significant contribution to our fight against the COVID-19 pandemic.
Multi-omics in influenza A virus infection
Current treatment regimens are ineffective due to recurrent or newly emerging influenza A virus (IAV) variants occurring each year. Using multi-omics approaches, including genomics, transcriptomics, proteomics, and metabolomics, the novel modulators of IAV-host interactions can be identified, which will greatly facilitate the development of anti-influenza therapeutics.
Ebola virus disease (EVD) caused by EBOV is marked by high levels of virus replication and dissemination, dysregulated immune responses, extensive tissue damage and organ dysfunction as well as disordered coagulation. In order to investigate the complex pathogenesis of EVD, multi-omics approaches have been used to analyze plasma and peripheral blood mononuclear cells (PBMCs) from patients infected with EVD.
Multi-omics in pathogenic mosquito-borne virus infection
Pathogenic mosquito-borne viruses are increasingly becoming a serious public health issue, including Zika virus (ZIKV), Chikungunya virus (CHIV), dengue virus (DENV), West Nile virus (WNV), and Japanese encephalitis virus (JEV). To better understand mosquito-borne infections and develop new treatments to combat outbreaks of these pathogens, multiple-omics analyses (including transcriptomics, proteomics, and interactomics) and network projection analyses are applied.
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