Identification of the susceptibility genes for COVID-19 in lung adenocarcinoma with global data and biological computation methods
| العنوان: | Identification of the susceptibility genes for COVID-19 in lung adenocarcinoma with global data and biological computation methods |
|---|---|
| المؤلفون: | Gang Chen, Jin-Liang Kong, Hua-Fu Zhou, Yu Zhang, Li Gao, Juan He, Jian-Di Li, Guo-Sheng Li |
| المصدر: | Computational and Structural Biotechnology Journal Computational and Structural Biotechnology Journal, Vol 19, Iss, Pp 6229-6239 (2021) |
| بيانات النشر: | Elsevier BV, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | LUAD, TF, transcription factor, Coronavirus disease 2019 (COVID-19), Microarray, Biophysics, FPKM, fragments per kilobase per million, PPI, protein-to-protein interaction, Computational biology, GTEx, Genotype-tissue Expression, Biology, HPA, human protein atlas, SARS-CoV-2, severe acute respiratory syndrome coronavirus 2, Biochemistry, Interactome, Article, Structural Biology, DEG, differentially expressed genes, WGCNA, weighted gene co-expression network analysis, Genetics, medicine, DEG, Clinical significance, Gene, ComputingMethodologies_COMPUTERGRAPHICS, COVID-19, coronavirus disease 2019, Lung, WGCNA, COVID-19, FC, fold change, LUAD, lung adenocarcinoma, medicine.disease, SROC, summarized receiver’s operating characteristics, TPM, transcripts per million reads, Computer Science Applications, Immune infiltration, CI, confidence interval, medicine.anatomical_structure, Susceptibility, SMD, standard mean difference, RNA splicing, Adenocarcinoma, TP248.13-248.65, IHC, immunohistochemistry, Biotechnology |
| الوصف: | Graphical abstract Introduction The risk of infection with COVID-19 is high in lung adenocarcinoma (LUAD) patients, and there is a dearth of studies on the molecular mechanism underlying the high susceptibility of LUAD patients to COVID-19 from the perspective of the global differential expression landscape. Objectives To fill the research void on the molecular mechanism underlying the high susceptibility of LUAD patients to COVID-19 from the perspective of the global differential expression landscape. Methods Herein, we identified genes, specifically the differentially expressed genes (DEGs), correlated with the susceptibility of LUAD patients to COVID-19. These were obtained by calculating standard mean deviation (SMD) values for 49 SARS-CoV-2-infected LUAD samples and 24 non-affected LUAD samples, as well as 3931 LUAD samples and 3027 non-cancer lung samples from 40 pooled RNA-seq and microarray datasets. Hub susceptibility genes significantly related to COVID-19 were further selected by weighted gene co-expression network analysis. Then, the hub genes were further analyzed via an examination of their clinical significance in multiple datasets, a correlation analysis of the immune cell infiltration level, and their interactions with the interactome sets of the A549 cell line. Results A total of 257 susceptibility genes were identified, and these genes were associated with RNA splicing, mitochondrial functions, and proteasomes. Ten genes, MEA1, MRPL24, PPIH, EBNA1BP2, MRTO4, RABEPK, TRMT112, PFDN2, PFDN6, and NDUFS3, were confirmed to be the hub susceptibility genes for COVID-19 in LUAD patients, and the hub susceptibility genes were significantly correlated with the infiltration of multiple immune cells. Conclusion In conclusion, the susceptibility genes for COVID-19 in LUAD patients discovered in this study may increase our understanding of the high risk of COVID-19 in LUAD patients. |
| تدمد: | 2001-0370 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3de48728ed40ad7319b3d64a6354c06Test https://doi.org/10.1016/j.csbj.2021.11.026Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....c3de48728ed40ad7319b3d64a6354c06 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 20010370 |
|---|