These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
161 related articles for article (PubMed ID: 32055241)
1. A systematic integrative approach reveals novel microRNAs in diabetic nephropathy. Kiyanpour F; Abedi M; Gheisari Y J Res Med Sci; 2020; 25():1. PubMed ID: 32055241 [TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. The unique molecular mechanism of diabetic nephropathy: a bioinformatics analysis of over 250 microarray datasets. Zhou LT; Zhang ZJ; Cao JY; Chen H; Zhu YS; Wu X; Nawabi AQ; Liu X; Shan W; Zhang Y; Zhang XR; Xue J; Hu L; Wang SS; Wang L; Sun ZX Clin Kidney J; 2021 Jun; 14(6):1626-1638. PubMed ID: 34084458 [TBL] [Abstract][Full Text] [Related]
5. The Glomerulus Multiomics Analysis Provides Deeper Insights into Diabetic Nephropathy. Zhao T; Cheng F; Zhan D; Li J; Zheng C; Lu Y; Qin W; Liu Z J Proteome Res; 2023 Jun; 22(6):1779-1789. PubMed ID: 37191251 [TBL] [Abstract][Full Text] [Related]
6. Systems biology and machine learning approaches identify drug targets in diabetic nephropathy. Abedi M; Marateb HR; Mohebian MR; Aghaee-Bakhtiari SH; Nassiri SM; Gheisari Y Sci Rep; 2021 Dec; 11(1):23452. PubMed ID: 34873190 [TBL] [Abstract][Full Text] [Related]
7. The topological key lncRNA H2k2 from the ceRNA network promotes mesangial cell proliferation in diabetic nephropathy Chen W; Peng R; Sun Y; Liu H; Zhang L; Peng H; Zhang Z FASEB J; 2019 Oct; 33(10):11492-11506. PubMed ID: 31336052 [TBL] [Abstract][Full Text] [Related]
8. Novel insights into the disease transcriptome of human diabetic glomeruli and tubulointerstitium. Levin A; Reznichenko A; Witasp A; Liu P; Greasley PJ; Sorrentino A; Blondal T; Zambrano S; Nordström J; Bruchfeld A; Barany P; Ebefors K; Erlandsson F; Patrakka J; Stenvinkel P; Nyström J; Wernerson A Nephrol Dial Transplant; 2020 Dec; 35(12):2059-2072. PubMed ID: 32853351 [TBL] [Abstract][Full Text] [Related]
9. 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]
10. Comprehensive analysis of IgA nephropathy expression profiles: identification of potential biomarkers and therapeutic agents. Gholaminejad A; Gheisari Y; Jalali S; Roointan A BMC Nephrol; 2021 Apr; 22(1):137. PubMed ID: 33874912 [TBL] [Abstract][Full Text] [Related]
11. Key Genes Involved in Diabetic Nephropathy Investigated by Microarray Analysis. Liu X; Li X J Comput Biol; 2019 Dec; 26(12):1438-1447. PubMed ID: 31356112 [TBL] [Abstract][Full Text] [Related]
12. Identification of Cooperative Gene Regulation Among Transcription Factors, LncRNAs, and MicroRNAs in Diabetic Nephropathy Progression. Chen L; Wu B; Wang S; Xiong Y; Zhou B; Cheng X; Zhou T; Luo R; Lam TW; Yan B; Chen J Front Genet; 2020; 11():1008. PubMed ID: 33088282 [TBL] [Abstract][Full Text] [Related]
13. Key elements involved in Epstein-Barr virus-associated gastric cancer and their network regulation. Jing JJ; Wang ZY; Li H; Sun LP; Yuan Y Cancer Cell Int; 2018; 18():146. PubMed ID: 30258285 [TBL] [Abstract][Full Text] [Related]
14. Intrarenal microRNA signature related to the fibrosis process in chronic kidney disease: identification and functional validation of key miRNAs. Yu J; Yu C; Feng B; Zhan X; Luo N; Yu X; Zhou Q BMC Nephrol; 2019 Aug; 20(1):336. PubMed ID: 31455266 [TBL] [Abstract][Full Text] [Related]
15. Regulatory network analysis of microRNAs and genes in neuroblastoma. Wang L; Che XJ; Wang N; Li J; Zhu MH Asian Pac J Cancer Prev; 2014; 15(18):7645-52. PubMed ID: 25292042 [TBL] [Abstract][Full Text] [Related]
16. Nine hub genes as the potential indicator for the clinical outcome of diabetic nephropathy. Song X; Gong M; Chen Y; Liu H; Zhang J J Cell Physiol; 2019 Feb; 234(2):1461-1468. PubMed ID: 30078220 [TBL] [Abstract][Full Text] [Related]
17. Bioinformatics analysis of genes related to iron death in diabetic nephropathy through network and pathway levels based approaches. Hu Y; Liu S; Liu W; Zhang Z; Liu Y; Sun D; Zhang M; Fang J PLoS One; 2021; 16(11):e0259436. PubMed ID: 34735495 [TBL] [Abstract][Full Text] [Related]
18. Genomic expression profiling and bioinformatics analysis on diabetic nephrology with ginsenoside Rg3. Wang J; Cui C; Fu L; Xiao Z; Xie N; Liu Y; Yu L; Wang H; Luo B Mol Med Rep; 2016 Aug; 14(2):1162-72. PubMed ID: 27279428 [TBL] [Abstract][Full Text] [Related]
19. The circulating exosomal microRNAs related to albuminuria in patients with diabetic nephropathy. Kim H; Bae YU; Jeon JS; Noh H; Park HK; Byun DW; Han DC; Ryu S; Kwon SH J Transl Med; 2019 Jul; 17(1):236. PubMed ID: 31331349 [TBL] [Abstract][Full Text] [Related]
20. Identification of candidate microRNA biomarkers in diabetic nephropathy: a meta-analysis of profiling studies. Gholaminejad A; Abdul Tehrani H; Gholami Fesharaki M J Nephrol; 2018 Dec; 31(6):813-831. PubMed ID: 30019103 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]