426 related articles for article (PubMed ID: 32894197)
1. Bioinformatics analysis reveals novel hub gene pathways associated with IgA nephropathy.
Jiang X; Xu Z; Du Y; Chen H
Eur J Med Res; 2020 Sep; 25(1):40. PubMed ID: 32894197
[TBL] [Abstract][Full Text] [Related]
2. Integrated bioinformatics analysis reveals novel hub genes closely associated with pathological mechanisms of immunoglobulin A nephropathy.
Zhang D; Cao Y; Zuo Y; Wang Z; Mi X; Tang W
Exp Ther Med; 2019 Aug; 18(2):1235-1245. PubMed ID: 31316619
[TBL] [Abstract][Full Text] [Related]
3. Screening and Bioinformatics Analysis of IgA Nephropathy Gene Based on GEO Databases.
Qian W; Xiaoyi W; Zi Y
Biomed Res Int; 2019; 2019():8794013. PubMed ID: 31392215
[TBL] [Abstract][Full Text] [Related]
4. Identifying potential biomarkers for the diagnosis and treatment of IgA nephropathy based on bioinformatics analysis.
Li X; Zeng M; Liu J; Zhang S; Liu Y; Zhao Y; Wei C; Yang K; Huang Y; Zhang L; Xiao L
BMC Med Genomics; 2023 Mar; 16(1):63. PubMed ID: 36978098
[TBL] [Abstract][Full Text] [Related]
5. Transmembrane signaling molecules play a key role in the pathogenesis of IgA nephropathy: a weighted gene co-expression network analysis study.
Gholaminejad A; Roointan A; Gheisari Y
BMC Immunol; 2021 Dec; 22(1):73. PubMed ID: 34861820
[TBL] [Abstract][Full Text] [Related]
6. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.
Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J
Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250
[TBL] [Abstract][Full Text] [Related]
7. Identification of miRNA-mRNA network and immune-related gene signatures in IgA nephropathy by integrated bioinformatics analysis.
Wei SY; Guo S; Feng B; Ning SW; Du XY
BMC Nephrol; 2021 Nov; 22(1):392. PubMed ID: 34823491
[TBL] [Abstract][Full Text] [Related]
8. Gene alterations in monocytes are pathogenic factors for immunoglobulin a nephropathy by bioinformatics analysis of microarray data.
Guo Y; Gao W; Wang D; Liu W; Liu Z
BMC Nephrol; 2018 Jul; 19(1):184. PubMed ID: 30029622
[TBL] [Abstract][Full Text] [Related]
9. Identification of key miRNAs and their targets in peripheral blood mononuclear cells of IgA nephropathy using bioinformatics analysis.
Liu L; Yang Y; Yu D
Medicine (Baltimore); 2021 Jul; 100(26):e26495. PubMed ID: 34190177
[TBL] [Abstract][Full Text] [Related]
10. Identification of Hub Genes and Therapeutic Agents for IgA Nephropathy Through Bioinformatics Analysis and Experimental Validation.
Xia M; Liu D; Liu H; Peng L; Yang D; Tang C; Chen G; Liu Y; Liu H
Front Med (Lausanne); 2022; 9():881322. PubMed ID: 35836957
[TBL] [Abstract][Full Text] [Related]
11. Construction of miRNA-mRNA network for the identification of key biological markers and their associated pathways in IgA nephropathy by employing the integrated bioinformatics analysis.
Noor F; Saleem MH; Aslam MF; Ahmad A; Aslam S
Saudi J Biol Sci; 2021 Sep; 28(9):4938-4945. PubMed ID: 34466069
[TBL] [Abstract][Full Text] [Related]
12. Identification and validation of glomerulotubular crosstalk genes mediating IgA nephropathy by integrated bioinformatics.
Bai Y; Li Y; Xi Y; Ma C
BMC Nephrol; 2022 Apr; 23(1):143. PubMed ID: 35418061
[TBL] [Abstract][Full Text] [Related]
13. Identification of potential biomarkers and therapeutic targets for human IgA nephropathy and hypertensive nephropathy by bioinformatics analysis.
Cui Y; Liu S; Cui W; Gao D; Zhou W; Luo P
Mol Med Rep; 2017 Sep; 16(3):3087-3094. PubMed ID: 28713898
[TBL] [Abstract][Full Text] [Related]
14. Identification of the Genetic Influence of SARS-CoV-2 Infections on IgA Nephropathy Based on Bioinformatics Method.
Deng X; Luo Y; Guan T; Guo X
Kidney Blood Press Res; 2023; 48(1):367-384. PubMed ID: 37040729
[TBL] [Abstract][Full Text] [Related]
15. Identification of Key Pathways and Genes in Anaplastic Thyroid Carcinoma via Integrated Bioinformatics Analysis.
Hu S; Liao Y; Chen L
Med Sci Monit; 2018 Sep; 24():6438-6448. PubMed ID: 30213925
[TBL] [Abstract][Full Text] [Related]
16. Bioinformatics analyses of significant genes, related pathways and candidate prognostic biomarkers in glioblastoma.
Zhou L; Tang H; Wang F; Chen L; Ou S; Wu T; Xu J; Guo K
Mol Med Rep; 2018 Nov; 18(5):4185-4196. PubMed ID: 30132538
[TBL] [Abstract][Full Text] [Related]
17. Identification of key candidate genes for IgA nephropathy using machine learning and statistics based bioinformatics models.
Al Mehedi Hasan M; Maniruzzaman M; Shin J
Sci Rep; 2022 Aug; 12(1):13963. PubMed ID: 35978028
[TBL] [Abstract][Full Text] [Related]
18. Unveiling biomarkers and therapeutic targets in IgA nephropathy through large-scale blood transcriptome analysis.
Gan T; Qu LX; Qu S; Qi YY; Zhang YM; Wang YN; Li Y; Liu LJ; Shi SF; Lv JC; Zhang H; Peng YJ; Zhou XJ
Int Immunopharmacol; 2024 May; 132():111905. PubMed ID: 38552291
[TBL] [Abstract][Full Text] [Related]
19. Identification of common key genes associated with Crohn's Disease and IgA nephropathy.
Yuan J; Wang Z; Wang YP
Eur Rev Med Pharmacol Sci; 2022 May; 26(10):3607-3620. PubMed ID: 35647843
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
