Global Gene Expression and Docking Profiling of COVID-19 Infection
Coronavirus is an enclosed positive-sense RNA virus with club-like spikes protruding from its surface that causes acute respiratory infections in humans. Because it is considered a member of the complex pathogen group, it has been found to infect different host species and cause a variety of disease...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-04-01
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| Series: | Frontiers in Genetics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2022.870836/full |
| _version_ | 1819023844770316288 |
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| author | Almas Jabeen Nadeem Ahmad Khalid Raza |
| author_facet | Almas Jabeen Nadeem Ahmad Khalid Raza |
| author_sort | Almas Jabeen |
| collection | DOAJ |
| description | Coronavirus is an enclosed positive-sense RNA virus with club-like spikes protruding from its surface that causes acute respiratory infections in humans. Because it is considered a member of the complex pathogen group, it has been found to infect different host species and cause a variety of diseases. So far, it has been discovered that it may affect the immune, infection, and inflammatory systems, leading to the hypothesis that the immune and inflammatory systems (signaling pathways and components) fail to control infection, opening the door to look for potential targets primarily in these systems. The study’s main purpose is to identify highly overexpressed genes and their functional implications as a result of COVID-19 infection, as well as to investigate probable infections, inflammation, and immune systems to better understand the impact of coronavirus infection. We explored the genes and pathways mostly linked with infection, inflammation, and the immune systems using the datasets available for COVID-19 infection gene expression compendium. NFKBIA, FN1, FAP, KANK4, COMP, FAM101B, COL1A2, ANKRD1, TAGLN, SPARC, ADAM19, OLFM4, CXCL10/11, OASL, FOS, APOBEC3A, IFI44L, IFI27, IFIT1, RSAD2, NDUFS1, SRSF6, HECTD1, CBX3, and DDX17 are among the genes that may be impacted by infection, according to our findings. The functional changes are mainly associated with these pathways TNF, cytokine, NF—kB, TLR, TCR, BCR, Foxo, and TGF signaling pathways are among them and there are additional pathways such as hippo signaling, apoptosis, estrogen signaling, regulating pluropotency of stem cells, ErbB, Wnt, p53, cAMP, MAPK, PI3K—AKT, oxidative phosphorylation, protein processing in endoplasmic reticulum, prolactin signaling, adipocytokine, neurotrophine signaling, and longevity regulating pathways. Moreover, we have also explored the potential herbal drug (apigenin, quercetin, and resveratrol) targets for the top-rated genes based on the overall analysis where we observe that quercetin and resveratrol as most effective. |
| first_indexed | 2024-12-21T04:45:21Z |
| format | Article |
| id | doaj.art-2be6c388429945eca469462b46f9b7d9 |
| institution | Directory Open Access Journal |
| issn | 1664-8021 |
| language | English |
| last_indexed | 2024-12-21T04:45:21Z |
| publishDate | 2022-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Genetics |
| spelling | doaj.art-2be6c388429945eca469462b46f9b7d92022-12-21T19:15:35ZengFrontiers Media S.A.Frontiers in Genetics1664-80212022-04-011310.3389/fgene.2022.870836870836Global Gene Expression and Docking Profiling of COVID-19 InfectionAlmas Jabeen0Nadeem Ahmad1Khalid Raza2Department of Bioscience, Jamia Millia Islamia, New Delhi, IndiaDepartment of Bioscience, Jamia Millia Islamia, New Delhi, IndiaDepartment of Computer Science, Jamia Millia Islamia, New Delhi, IndiaCoronavirus is an enclosed positive-sense RNA virus with club-like spikes protruding from its surface that causes acute respiratory infections in humans. Because it is considered a member of the complex pathogen group, it has been found to infect different host species and cause a variety of diseases. So far, it has been discovered that it may affect the immune, infection, and inflammatory systems, leading to the hypothesis that the immune and inflammatory systems (signaling pathways and components) fail to control infection, opening the door to look for potential targets primarily in these systems. The study’s main purpose is to identify highly overexpressed genes and their functional implications as a result of COVID-19 infection, as well as to investigate probable infections, inflammation, and immune systems to better understand the impact of coronavirus infection. We explored the genes and pathways mostly linked with infection, inflammation, and the immune systems using the datasets available for COVID-19 infection gene expression compendium. NFKBIA, FN1, FAP, KANK4, COMP, FAM101B, COL1A2, ANKRD1, TAGLN, SPARC, ADAM19, OLFM4, CXCL10/11, OASL, FOS, APOBEC3A, IFI44L, IFI27, IFIT1, RSAD2, NDUFS1, SRSF6, HECTD1, CBX3, and DDX17 are among the genes that may be impacted by infection, according to our findings. The functional changes are mainly associated with these pathways TNF, cytokine, NF—kB, TLR, TCR, BCR, Foxo, and TGF signaling pathways are among them and there are additional pathways such as hippo signaling, apoptosis, estrogen signaling, regulating pluropotency of stem cells, ErbB, Wnt, p53, cAMP, MAPK, PI3K—AKT, oxidative phosphorylation, protein processing in endoplasmic reticulum, prolactin signaling, adipocytokine, neurotrophine signaling, and longevity regulating pathways. Moreover, we have also explored the potential herbal drug (apigenin, quercetin, and resveratrol) targets for the top-rated genes based on the overall analysis where we observe that quercetin and resveratrol as most effective.https://www.frontiersin.org/articles/10.3389/fgene.2022.870836/fullcoronavirusgene expression profilingpathological biomarkersinfection and immune systemdifferentially expressed genes network |
| spellingShingle | Almas Jabeen Nadeem Ahmad Khalid Raza Global Gene Expression and Docking Profiling of COVID-19 Infection Frontiers in Genetics coronavirus gene expression profiling pathological biomarkers infection and immune system differentially expressed genes network |
| title | Global Gene Expression and Docking Profiling of COVID-19 Infection |
| title_full | Global Gene Expression and Docking Profiling of COVID-19 Infection |
| title_fullStr | Global Gene Expression and Docking Profiling of COVID-19 Infection |
| title_full_unstemmed | Global Gene Expression and Docking Profiling of COVID-19 Infection |
| title_short | Global Gene Expression and Docking Profiling of COVID-19 Infection |
| title_sort | global gene expression and docking profiling of covid 19 infection |
| topic | coronavirus gene expression profiling pathological biomarkers infection and immune system differentially expressed genes network |
| url | https://www.frontiersin.org/articles/10.3389/fgene.2022.870836/full |
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