JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE) ›› 2021, Vol. 41 ›› Issue (6): 749-755.doi: 10.3969/j.issn.1674-8115.2021.06.007
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Yin LIU1(), Tao YANG1(), Yu-sai XIE2, Yu-zhu WANG1
Online:
2021-06-28
Published:
2021-06-29
Contact:
Tao YANG
E-mail:790144859@qq.com;yangtaodoctor@163.com
CLC Number:
Yin LIU, Tao YANG, Yu-sai XIE, Yu-zhu WANG. Screening of key genes and pathways involved in lupus nephritis based on GEO database[J]. JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE), 2021, 41(6): 749-755.
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URL: https://xuebao.shsmu.edu.cn/EN/10.3969/j.issn.1674-8115.2021.06.007
No. | Gene symbol | Full name | Function |
---|---|---|---|
1 | IFI6 | Interferon α inducible protein 6 | May play a critical role in cell apoptosis, negatively regulate intracellular apoptosis signaling pathways and TNFSF10-induced cell apoptosis |
2 | IFI27 | Interferon α inducible protein 27 | May play a role in type I interferon-induced apoptosis and TNFSF10-induced apoptosis, and has antiviral activity against hepatitis C virus (HCV) in the innate immune response |
3 | IFIT1 | Interferon induced protein with tetratricopeptide repeats 1 | Inhibits expression of viral messenger RNAs |
4 | IFIT2 | Interferon induced protein with tetratricopeptide repeats 2 | Inhibits expression of viral messenger RNAs and promotes apoptosis |
5 | IFIT3 | Interferon induced protein with tetratricopeptide repeats 3 | Inhibits cellular as well as viral processes, cell migration, proliferation, signaling, and viral. Negatively regulates the apoptotic effects of IFIT2 |
6 | IFITM3 | Interferon induced transmembrane protein 3 | Interferon-induced antiviral protein inhibits virus from entering the cytoplasm of host cells |
7 | ISG15 | ISG15 ubiquitin-like modifier | Mediates innate immune response to viral and mycobacterial infections |
8 | ISG20 | Interferon stimulated exonuclease gene 20 | Interferon-induced antiviral exo-ribonuclease acts on single-stranded RNA and has antiviral activity against RNA viruses such as HCV |
9 | MX1 | MX dynamin like GTPase 1 | Interferon-induced dynamin-like GTPase with antiviral activity against a wide range of RNA viruses and some DNA viruses |
10 | SAMHD1 | SAM and HD domain containing deoxynucleoside triphosphate triphosphohydrolase 1 | May play a role in the regulation of innate immune response |
Tab 1 Functions of 10 hub genes
No. | Gene symbol | Full name | Function |
---|---|---|---|
1 | IFI6 | Interferon α inducible protein 6 | May play a critical role in cell apoptosis, negatively regulate intracellular apoptosis signaling pathways and TNFSF10-induced cell apoptosis |
2 | IFI27 | Interferon α inducible protein 27 | May play a role in type I interferon-induced apoptosis and TNFSF10-induced apoptosis, and has antiviral activity against hepatitis C virus (HCV) in the innate immune response |
3 | IFIT1 | Interferon induced protein with tetratricopeptide repeats 1 | Inhibits expression of viral messenger RNAs |
4 | IFIT2 | Interferon induced protein with tetratricopeptide repeats 2 | Inhibits expression of viral messenger RNAs and promotes apoptosis |
5 | IFIT3 | Interferon induced protein with tetratricopeptide repeats 3 | Inhibits cellular as well as viral processes, cell migration, proliferation, signaling, and viral. Negatively regulates the apoptotic effects of IFIT2 |
6 | IFITM3 | Interferon induced transmembrane protein 3 | Interferon-induced antiviral protein inhibits virus from entering the cytoplasm of host cells |
7 | ISG15 | ISG15 ubiquitin-like modifier | Mediates innate immune response to viral and mycobacterial infections |
8 | ISG20 | Interferon stimulated exonuclease gene 20 | Interferon-induced antiviral exo-ribonuclease acts on single-stranded RNA and has antiviral activity against RNA viruses such as HCV |
9 | MX1 | MX dynamin like GTPase 1 | Interferon-induced dynamin-like GTPase with antiviral activity against a wide range of RNA viruses and some DNA viruses |
10 | SAMHD1 | SAM and HD domain containing deoxynucleoside triphosphate triphosphohydrolase 1 | May play a role in the regulation of innate immune response |
1 | Rees F, Doherty M, Grainge MJ, et al. The worldwide incidence and prevalence of systemic lupus erythematosus: a systematic review of epidemiological studies[J]. Rheumatology (Oxford), 2017, 56(11): 1945-1961. |
2 | Yu F, Haas M, Glassock R, et al. Redefining lupus nephritis: clinical implications of pathophysiologic subtypes[J]. Nat Rev Nephrol, 2017, 13(8): 483-495. |
3 | Almaani S, Meara A, Rovin BH. Update on lupus nephritis[J]. Clin J Am Soc Nephrol, 2017, 12(5): 825-835. |
4 | Tektonidou MG, Dasgupta A, Ward MM. Risk of end-stage renal disease in patients with lupus nephritis, 1971-2015: a systematic review and Bayesian meta-analysis[J]. Arthritis Rheumatol, 2016, 68(6): 1432-1441. |
5 | Devarapu SK, Lorenz G, Kulkarni OP, et al. Cellular and molecular mechanisms of autoimmunity and lupus nephritis[J]. Int Rev Cell Mol Biol, 2017, 332: 43-154. |
6 | Bing PF, Xia W, Wang L, et al. Common marker genes identified from various sample types for systemic lupus erythematosus[J]. PLoS One, 2016, 11(6): e0156234. |
7 | Coit P, Jeffries M, Altorok N, et al. Genome-wide DNA methylation study suggests epigenetic accessibility and transcriptional poising of interferon-regulated genes in naïve CD4+T cells from lupus patients[J]. J Autoimmun, 2013, 43: 78-84. |
8 | Clough E, Barrett T. The gene expression omnibus database[J]. Methods Mol Biol Clifton N J, 2016, 1418: 93-110. |
9 | Piao J, Sun J, Yang Y, et al. Target gene screening and evaluation of prognostic values in non-small cell lung cancers by bioinformatics analysis[J]. Gene, 2018, 647: 306-311. |
10 | Gene Ontology Consortium. Gene Ontology Consortium: going forward[J]. Nucleic Acids Res, 2015, 43(database issue): D1049-D1056. |
11 | Du JL, Yuan ZF, Ma ZW, et al. KEGG-PATH: Kyoto encyclopedia of genes and genomes-based pathway analysis using a path analysis model [J]. Mol Biosyst, 2014, 10(9): 2441-2447. |
12 | Dennis G, JR., Sherman BT, Hosack DA, et al. DAVID: Database for annotation, visualization, and integrated discovery[J]. Genome Biol, 2003, 4(5): P3. |
13 | Kumar MS, Adki KM. Marine natural products for multi-targeted cancer treatment: a future insight[J]. Biomed Pharmacother, 2018, 105: 233-245. |
14 | Wang J, Zhong J, Chen G, et al. ClusterViz: a cytoscape APP for cluster analysis of biological network[J]. IEEE/ACM Trans Comput Biol Bioinform, 2015, 12(4): 815-822. |
15 | Chin CH, Chen SH, Wu HH, et al. cytoHubba: identifying hub objects and sub-networks from complex interactome[J]. BMC Syst Biol, 2014, 8(): S11. |
16 | Yang H, Li H. CD36 identified by weighted gene co-expression network analysis as a hub candidate gene in lupus nephritis[J]. PeerJ, 2019, 7: e7722. |
17 | Shu B, Fang Y, He W, et al. Identification of macrophage-related candidate genes in lupus nephritis using bioinformatics analysis[J]. Cell Signal, 2018, 46: 43-51. |
18 | Reder AT, Feng X. Aberrant type I interferon regulation in autoimmunity: opposite directions in MS and SLE, shaped by evolution and body ecology[J]. Front Immunol, 2013, 4: 281. |
19 | Bezalel S, Guri KM, Elbirt D, et al. Type I interferon signature in systemic lupus erythematosus[J]. Isr Med Assoc J, 2014, 16(4): 246-249. |
20 | Chen JY, Wang CM, Chen TD, et al. Interferon-λ3/4 genetic variants and interferon-λ3 serum levels are biomarkers of lupus nephritis and disease activity in Taiwanese [J]. Arthritis Res Ther, 2018, 20(1): 193. |
21 | Becker AM, Dao KH, Han BK, et al. SLE peripheral blood B cell, T cell and myeloid cell transcriptomes display unique profiles and each subset contributes to the interferon signature[J]. PLoS One, 2013, 8(6): e67003. |
22 | Reynaud JM, Kim DY, Atasheva S, et al. IFIT1 differentially interferes with translation and replication of alphavirus genomes and promotes induction of type I interferon[J]. PLoS Pathog, 2015, 11(4): e1004863. |
23 | Zhang L, Wang B, Li L, et al. Antiviral effects of IFIT1 in human cytomegalovirus-infected fetal astrocytes[J]. J Med Virol, 2017, 89(4): 672-684. |
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