137 related articles for article (PubMed ID: 38374020)
1. Construction of a TF-miRNA-mRNA Regulatory Network for Diabetic Nephropathy.
Dong F; Zheng L; Yang G
Arch Esp Urol; 2024 Jan; 77(1):104-112. PubMed ID: 38374020
[TBL] [Abstract][Full Text] [Related]
2. Identifying C1QB, ITGAM, and ITGB2 as potential diagnostic candidate genes for diabetic nephropathy using bioinformatics analysis.
Hu Y; Yu Y; Dong H; Jiang W
PeerJ; 2023; 11():e15437. PubMed ID: 37250717
[TBL] [Abstract][Full Text] [Related]
3. Bioinformatics Analysis of the Mechanisms of Diabetic Nephropathy
Guo M; Dai Y; Jiang L; Gao J
Front Endocrinol (Lausanne); 2022; 13():934022. PubMed ID: 35909518
[TBL] [Abstract][Full Text] [Related]
4. Integrative analyses of biomarkers and pathways for diabetic nephropathy.
Li B; Zhao X; Xie W; Hong Z; Zhang Y
Front Genet; 2023; 14():1128136. PubMed ID: 37113991
[No Abstract] [Full Text] [Related]
5. Investigation of mechanisms of mesenchymal stem cells for treatment of diabetic nephropathy via construction of a miRNA-TF-mRNA network.
Yang H; Zhang X; Xin G
Ren Fail; 2018 Nov; 40(1):136-145. PubMed ID: 29532746
[TBL] [Abstract][Full Text] [Related]
6. Identification of Serum Exosome-Derived circRNA-miRNA-TF-mRNA Regulatory Network in Postmenopausal Osteoporosis Using Bioinformatics Analysis and Validation in Peripheral Blood-Derived Mononuclear Cells.
Dong Q; Han Z; Tian L
Front Endocrinol (Lausanne); 2022; 13():899503. PubMed ID: 35757392
[TBL] [Abstract][Full Text] [Related]
7. Identification of microRNA-mRNA-TF regulatory networks in periodontitis by bioinformatics analysis.
Gao X; Zhao D; Han J; Zhang Z; Wang Z
BMC Oral Health; 2022 Apr; 22(1):118. PubMed ID: 35397550
[TBL] [Abstract][Full Text] [Related]
8. Identification of co-expressed central genes and transcription factors in acute myocardial infarction and diabetic nephropathy.
Li B; Zhao X; Xie W; Hong Z; Cao Y; Zhang Y; Ding Y
BMC Med Genomics; 2024 May; 17(1):134. PubMed ID: 38764052
[TBL] [Abstract][Full Text] [Related]
9. Construction and analysis of mRNA, miRNA, lncRNA, and TF regulatory networks reveal the key genes associated with prostate cancer.
Ye Y; Li SL; Wang SY
PLoS One; 2018; 13(8):e0198055. PubMed ID: 30138363
[TBL] [Abstract][Full Text] [Related]
10. Construction and Bioinformatics Analysis of the miRNA-mRNA Regulatory Network in Diabetic Nephropathy.
Li Y; Xu Y; Hou Y; Li R
J Healthc Eng; 2021; 2021():8161701. PubMed ID: 34840704
[TBL] [Abstract][Full Text] [Related]
11. Key Genes and Signaling Pathways Contribute to the Pathogensis of Diabetic Nephropathy.
Yang H; Lian D; Zhang X; Li H; Xin G
Iran J Kidney Dis; 2019 Mar; 13(2):87-97. PubMed ID: 30988245
[TBL] [Abstract][Full Text] [Related]
12. Construction of a TFs-miRNA-mRNA network related to idiopathic pulmonary fibrosis.
Su M; Liu J; Wu X; Chen X; Xiao Q; Jiang N
Ann Transl Med; 2023 Jan; 11(2):78. PubMed ID: 36819574
[TBL] [Abstract][Full Text] [Related]
13. Crucial genes associated with diabetic nephropathy explored by microarray analysis.
Wang Z; Wang Z; Zhou Z; Ren Y
BMC Nephrol; 2016 Sep; 17(1):128. PubMed ID: 27613243
[TBL] [Abstract][Full Text] [Related]
14. Seven basement membrane-specific expressed genes are considered potential biomarkers for the diagnosis and treatment of diabetic nephropathy.
Gui H; Chen X; Ye L; Ma H
Acta Diabetol; 2023 Apr; 60(4):493-505. PubMed ID: 36627452
[TBL] [Abstract][Full Text] [Related]
15. Network pharmacology-based identification of miRNA expression of Astragalus membranaceus in the treatment of diabetic nephropathy.
Dai Y; Guo M; Jiang L; Gao J
Medicine (Baltimore); 2022 Feb; 101(5):e28747. PubMed ID: 35119030
[TBL] [Abstract][Full Text] [Related]
16. Integrated Bioinformatics and Clinical Correlation Analysis of Key Genes, Pathways, and Potential Therapeutic Agents Related to Diabetic Nephropathy.
Chen S; Chen L; Jiang H
Dis Markers; 2022; 2022():9204201. PubMed ID: 35637650
[TBL] [Abstract][Full Text] [Related]
17. Identification of key genes and biological regulatory mechanisms in diabetic nephropathy: Meta-analysis of gene expression datasets.
Hojjati F; Roointan A; Gholaminejad A; Eshraghi Y; Gheisari Y
Nefrologia (Engl Ed); 2023; 43(5):575-586. PubMed ID: 36681521
[TBL] [Abstract][Full Text] [Related]
18. Comprehensive analysis of diabetic nephropathy expression profile based on weighted gene co-expression network analysis algorithm.
Gholaminejad A; Fathalipour M; Roointan A
BMC Nephrol; 2021 Jul; 22(1):245. PubMed ID: 34215202
[TBL] [Abstract][Full Text] [Related]
19. Identification of tubulointerstitial genes and ceRNA networks involved in diabetic nephropathy via integrated bioinformatics approaches.
Cao H; Rao X; Jia J; Yan T; Li D
Hereditas; 2022 Sep; 159(1):36. PubMed ID: 36154667
[TBL] [Abstract][Full Text] [Related]
20. Identification of biological targets of therapeutic intervention for diabetic nephropathy with bioinformatics approach.
Wu T; Li Q; Wu T; Liu HY
Exp Clin Endocrinol Diabetes; 2014 Nov; 122(10):587-91. PubMed ID: 25003364
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]