119 related articles for article (PubMed ID: 38332666)
1. Bioinformatics and systems-biology approach to identify common pathogenic mechanisms for COVID-19 and systemic lupus erythematosus.
Wu Y; Li Y; Zhou Y; Bai X; Liu Y
Autoimmunity; 2024 Dec; 57(1):2304826. PubMed ID: 38332666
[TBL] [Abstract][Full Text] [Related]
2. Bioinformatics identification of key candidate genes and pathways associated with systemic lupus erythematosus.
Yang F; Zhai Z; Luo X; Luo G; Zhuang L; Zhang Y; Li Y; Sun E; He Y
Clin Rheumatol; 2020 Feb; 39(2):425-434. PubMed ID: 31673979
[TBL] [Abstract][Full Text] [Related]
3. Identification of potential therapeutic drugs targeting core genes for systemic lupus erythematosus (SLE) and coexisting COVID-19: Insights from bioinformatic analyses.
Chen C; Zhang H; Lin Y; Lu M; Liao Q; Zhang S; Chen W; Zheng X; Li Y; Ding R; Wan Z
Immun Inflamm Dis; 2023 Nov; 11(11):e1087. PubMed ID: 38018597
[TBL] [Abstract][Full Text] [Related]
4. Identification of Diagnostic Gene Markers and Immune Infiltration in Systemic Lupus.
Hu H; He C
Comput Math Methods Med; 2022; 2022():3386999. PubMed ID: 35558576
[TBL] [Abstract][Full Text] [Related]
5. Exploring the potential common denominator pathogenesis of system lupus erythematosus with COVID-19 based on comprehensive bioinformatics analysis.
Zeng H; Zhuang Y; Li X; Yin Z; Huang X; Peng H
Front Immunol; 2023; 14():1179664. PubMed ID: 37426642
[TBL] [Abstract][Full Text] [Related]
6. Identification of hub genes, pathways, and related transcription factors in systemic lupus erythematosus: A preliminary bioinformatics analysis.
Wang Y; Ma Q; Huo Z
Medicine (Baltimore); 2021 Jun; 100(25):e26499. PubMed ID: 34160465
[TBL] [Abstract][Full Text] [Related]
7. Bioinformatics analysis of differentially expressed gene profiles associated with systemic lupus erythematosus.
Wu C; Zhao Y; Lin Y; Yang X; Yan M; Min Y; Pan Z; Xia S; Shao Q
Mol Med Rep; 2018 Mar; 17(3):3591-3598. PubMed ID: 29257335
[TBL] [Abstract][Full Text] [Related]
8. Bioinformatics analyses of gene expression profile identify key genes and functional pathways involved in cutaneous lupus erythematosus.
Gao ZY; Su LC; Wu QC; Sheng JE; Wang YL; Dai YF; Chen AP; He SS; Huang X; Yan GQ
Clin Rheumatol; 2022 Feb; 41(2):437-452. PubMed ID: 34553293
[TBL] [Abstract][Full Text] [Related]
9. Identification of key biomarkers and immune infiltration in systemic lupus erythematosus by integrated bioinformatics analysis.
Zhao X; Zhang L; Wang J; Zhang M; Song Z; Ni B; You Y
J Transl Med; 2021 Jan; 19(1):35. PubMed ID: 33468161
[TBL] [Abstract][Full Text] [Related]
10. Bioinformatics analysis of potential common pathogenic mechanisms for systemic lupus erythematosus and acute myocardial infarction.
Gao Y; Wang Y; Li M; Gao C
Lupus; 2023 Oct; 32(11):1296-1309. PubMed ID: 37800460
[TBL] [Abstract][Full Text] [Related]
11. Identify the influences of systemic lupus erythematosus on acquired ADAMTS13-deficient thrombotic thrombocytopenic purpura using comprehensive bioinformatics analysis.
Zhang J
Lupus; 2023 Nov; 32(13):1501-1508. PubMed ID: 37846867
[TBL] [Abstract][Full Text] [Related]
12. Analyzing the pathogenesis of systemic lupus erythematosus complicated by atherosclerosis using transcriptome data.
Wang Y; Su W; Li Y; Yuan J; Yao M; Su X; Wang Y
Front Immunol; 2022; 13():935545. PubMed ID: 35935949
[TBL] [Abstract][Full Text] [Related]
13. IFN-
Liu W; Li M; Wang Z; Wang J
Biomed Res Int; 2020; 2020():7176515. PubMed ID: 33123584
[TBL] [Abstract][Full Text] [Related]
14. Bioinformatics analysis of the pathogenic link between Epstein-Barr virus infection, systemic lupus erythematosus and diffuse large B cell lymphoma.
Zhu QY
Sci Rep; 2023 Apr; 13(1):6310. PubMed ID: 37072474
[TBL] [Abstract][Full Text] [Related]
15. Identification of crucial genes for predicting the risk of atherosclerosis with system lupus erythematosus based on comprehensive bioinformatics analysis and machine learning.
Liu C; Zhou Y; Zhou Y; Tang X; Tang L; Wang J
Comput Biol Med; 2023 Jan; 152():106388. PubMed ID: 36470144
[TBL] [Abstract][Full Text] [Related]
16. Comprehensive bioinformatics analysis reveals the crosstalk genes and immune relationship between the systemic lupus erythematosus and venous thromboembolism.
Yu J; Yang J; He Q; Zhang Z; Xu G
Front Immunol; 2023; 14():1196064. PubMed ID: 37465678
[TBL] [Abstract][Full Text] [Related]
17. The shared biomarkers and pathways of systemic lupus erythematosus and metabolic syndrome analyzed by bioinformatics combining machine learning algorithm and single-cell sequencing analysis.
Wang Y; Huang Z; Xiao Y; Wan W; Yang X
Front Immunol; 2022; 13():1015882. PubMed ID: 36341378
[TBL] [Abstract][Full Text] [Related]
18. Multi-omics analysis uncovered systemic lupus erythematosus and COVID-19 crosstalk.
Nian Z; Mao Y; Xu Z; Deng M; Xu Y; Xu H; Chen R; Xu Y; Huang N; Mao F; Xu C; Wang Y; Niu M; Chen A; Xue X; Zhang H; Guo G
Mol Med; 2024 Jun; 30(1):81. PubMed ID: 38862942
[TBL] [Abstract][Full Text] [Related]
19. Exploring the shared molecular mechanisms between systemic lupus erythematosus and primary Sjögren's syndrome based on integrated bioinformatics and single-cell RNA-seq analysis.
Cui Y; Zhang H; Wang Z; Gong B; Al-Ward H; Deng Y; Fan O; Wang J; Zhu W; Sun YE
Front Immunol; 2023; 14():1212330. PubMed ID: 37614232
[TBL] [Abstract][Full Text] [Related]
20. Bioinformatics analyses of gene expression profile to identify pathogenic mechanisms for COVID-19 infection and cutaneous lupus erythematosus.
Gao Z; Zhai X; Yan G; Tian Y; Huang X; Wu Q; Yuan L; Su L
Front Immunol; 2023; 14():1268912. PubMed ID: 38022551
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
