193 related articles for article (PubMed ID: 25701361)
1. Global correlation analysis for microRNA and gene expression profiles in human obesity.
Li J; Zhou C; Li J; Su Z; Sang H; Jia E; Si D
Pathol Res Pract; 2015 May; 211(5):361-8. PubMed ID: 25701361
[TBL] [Abstract][Full Text] [Related]
2. Bioinformatic analysis of microRNA-mRNA expression profiles of bladder tissue induced by bladder outlet obstruction in a rat model.
Duan LJ; Cao QF; Xu D; Liu HL; Qi J
Mol Med Rep; 2017 Oct; 16(4):4803-4810. PubMed ID: 28791388
[TBL] [Abstract][Full Text] [Related]
3. Integrated analysis of microRNA and gene expression profiles reveals a functional regulatory module associated with liver fibrosis.
Chen W; Zhao W; Yang A; Xu A; Wang H; Cong M; Liu T; Wang P; You H
Gene; 2017 Dec; 636():87-95. PubMed ID: 28919164
[TBL] [Abstract][Full Text] [Related]
4. Identification of biomarkers of intrahepatic cholangiocarcinoma via integrated analysis of mRNA and miRNA microarray data.
Chen Y; Liu D; Liu P; Chen Y; Yu H; Zhang Q
Mol Med Rep; 2017 Mar; 15(3):1051-1056. PubMed ID: 28098904
[TBL] [Abstract][Full Text] [Related]
5. MicroRNA network analysis identifies key microRNAs and genes associated with precancerous lesions of gastric cancer.
Wang XW; Wu Y; Wang D; Qin ZF
Genet Mol Res; 2014 Oct; 13(4):8695-703. PubMed ID: 25366760
[TBL] [Abstract][Full Text] [Related]
6. Identification and interaction analysis of key genes and microRNAs in hepatocellular carcinoma by bioinformatics analysis.
Mou T; Zhu D; Wei X; Li T; Zheng D; Pu J; Guo Z; Wu Z
World J Surg Oncol; 2017 Mar; 15(1):63. PubMed ID: 28302149
[TBL] [Abstract][Full Text] [Related]
7. Screening of potential biomarkers in the occurrence and development of type 1 diabetes mellitus based on transcriptome analysis.
Kang J; Shen X; Yang L; Feng S; Li D; Yuan H
Endokrynol Pol; 2020; 71(1):58-65. PubMed ID: 33140399
[TBL] [Abstract][Full Text] [Related]
8. Identification of key genes and construction of microRNA-mRNA regulatory networks in multiple myeloma by integrated multiple GEO datasets using bioinformatics analysis.
Gao H; Wang H; Yang W
Int J Hematol; 2017 Jul; 106(1):99-107. PubMed ID: 28316065
[TBL] [Abstract][Full Text] [Related]
9. A combinative analysis of gene expression profiles and microRNA expression profiles identifies critical genes and microRNAs in oral lichen planus.
Liu Q; Wang X; Liu Y; Wei M; Chen L
Arch Oral Biol; 2016 Aug; 68():61-5. PubMed ID: 27100321
[TBL] [Abstract][Full Text] [Related]
10. Integrated microRNA‑gene analysis of coronary artery disease based on miRNA and gene expression profiles.
Xu X; Li H
Mol Med Rep; 2016 Apr; 13(4):3063-73. PubMed ID: 26936111
[TBL] [Abstract][Full Text] [Related]
11. Identification of MicroRNA-Target Gene-Transcription Factor Regulatory Networks in Colorectal Adenoma Using Microarray Expression Data.
Gao Y; Zhang S; Zhang Y; Qian J
Front Genet; 2020; 11():463. PubMed ID: 32508878
[TBL] [Abstract][Full Text] [Related]
12. Identification of potential pathogenic biomarkers in clear cell renal cell carcinoma.
Wang Z; Zhang Z; Zhang C; Xu Y
Oncol Lett; 2018 Jun; 15(6):8491-8499. PubMed ID: 29805586
[TBL] [Abstract][Full Text] [Related]
13. Both Peripheral Blood and Urinary miR-195-5p, miR-192-3p, miR-328-5p and Their Target Genes PPM1A, RAB1A and BRSK1 May Be Potential Biomarkers for Membranous Nephropathy.
Zhou G; Zhang X; Wang W; Zhang W; Wang H; Xin G
Med Sci Monit; 2019 Mar; 25():1903-1916. PubMed ID: 30865617
[TBL] [Abstract][Full Text] [Related]
14. Comprehensive analysis of key genes and microRNAs in radioresistant nasopharyngeal carcinoma.
Guo Y; Zhang Y; Zhang SJ; Ma YN; He Y
BMC Med Genomics; 2019 May; 12(1):73. PubMed ID: 31138194
[TBL] [Abstract][Full Text] [Related]
15. Bioinformatic analysis of microRNA expression in Huntington's disease.
Dong X; Cong S
Mol Med Rep; 2018 Sep; 18(3):2857-2865. PubMed ID: 30015953
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. MicroRNA expression profile of surgical removed mandibular bone tissues from patients with mandibular prognathism.
Tian Y; Liu J; Bai X; Tan X; Cao Y; Qin K; Zhao Z; Zhang Y
J Surg Res; 2015 Sep; 198(1):127-34. PubMed ID: 26025627
[TBL] [Abstract][Full Text] [Related]
18. Identification and interaction analysis of key genes and microRNAs in atopic dermatitis by bioinformatics analysis.
Li HM; Xiao YJ; Min ZS; Tan C
Clin Exp Dermatol; 2019 Apr; 44(3):257-264. PubMed ID: 29974487
[TBL] [Abstract][Full Text] [Related]
19. Bioinformatics method to predict two regulation mechanism: TF-miRNA-mRNA and lncRNA-miRNA-mRNA in pancreatic cancer.
Ye S; Yang L; Zhao X; Song W; Wang W; Zheng S
Cell Biochem Biophys; 2014 Dec; 70(3):1849-58. PubMed ID: 25087086
[TBL] [Abstract][Full Text] [Related]
20. Screening of exosomal miRNAs derived from subcutaneous and visceral adipose tissues: Determination of targets for the treatment of obesity and associated metabolic disorders.
Yang Z; Wei Z; Wu X; Yang H
Mol Med Rep; 2018 Sep; 18(3):3314-3324. PubMed ID: 30066923
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
