353 related articles for article (PubMed ID: 37201049)
1. Identification and validation of the microRNAs and hub genes for pancreatic ductal adenocarcinoma by an integrated bioinformatic analysis.
Xin W; Fu Y; Chen L; Ding H; Feng T; Sun J; Qi Y; Hu Y; Fang Q; Fang L
J Gastrointest Oncol; 2023 Apr; 14(2):719-732. PubMed ID: 37201049
[TBL] [Abstract][Full Text] [Related]
2. Identification of novel genes associated with a poor prognosis in pancreatic ductal adenocarcinoma via a bioinformatics analysis.
Zhou J; Hui X; Mao Y; Fan L
Biosci Rep; 2019 Aug; 39(8):. PubMed ID: 31311829
[TBL] [Abstract][Full Text] [Related]
3. Using biological information to analyze potential miRNA-mRNA regulatory networks in the plasma of patients with non-small cell lung cancer.
Zhang W; Zhang Q; Che L; Xie Z; Cai X; Gong L; Li Z; Liu D; Liu S
BMC Cancer; 2022 Mar; 22(1):299. PubMed ID: 35313857
[TBL] [Abstract][Full Text] [Related]
4. Exosomes secreted from human umbilical cord mesenchymal stem cells promote pancreatic ductal adenocarcinoma growth by transferring miR-100-5p.
Ding Y; Mei W; Zheng Z; Cao F; Liang K; Jia Y; Wang Y; Liu D; Li J; Li F
Tissue Cell; 2021 Dec; 73():101623. PubMed ID: 34543801
[TBL] [Abstract][Full Text] [Related]
5. Aberrant expression of two miRNAs promotes proliferation, hepatitis B virus amplification, migration and invasion of hepatocellular carcinoma cells: evidence from bioinformatic analysis and experimental validation.
Liu Y; Cao Y; Cai W; Wu L; Zhao P; Liu XG
PeerJ; 2020; 8():e9100. PubMed ID: 32377460
[TBL] [Abstract][Full Text] [Related]
6. A Next-Generation Sequencing of Plasma Exosome-Derived microRNAs and Target Gene Analysis with a Microarray Database of Thermally Injured Skins: Identification of Blood-to-Tissue Interactions at Early Burn Stage.
Li SJ; Cai ZW; Yang HF; Tang XD; Fang X; Qiu L; Wang F; Chen XL
J Inflamm Res; 2021; 14():6783-6798. PubMed ID: 34916825
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Identification of Hub Genes for Colorectal Cancer with Liver Metastasis Using miRNA-mRNA Network.
Zhang SM; Shen C; Li J; Wang XD; Zhai SQ; Shi LL; Lu DL; Jiang XH; Qiu J
Dis Markers; 2023; 2023():2295788. PubMed ID: 36798788
[TBL] [Abstract][Full Text] [Related]
9. Identification of lncRNA/circRNA-miRNA-mRNA ceRNA Network as Biomarkers for Hepatocellular Carcinoma.
Chen S; Zhang Y; Ding X; Li W
Front Genet; 2022; 13():838869. PubMed ID: 35386284
[No Abstract] [Full Text] [Related]
10. MicroRNA profiling reveals dysregulated microRNAs and their target gene regulatory networks in cemento-ossifying fibroma.
Pereira TDSF; Brito JAR; Guimarães ALS; Gomes CC; de Lacerda JCT; de Castro WH; Coimbra RS; Diniz MG; Gomez RS
J Oral Pathol Med; 2018 Jan; 47(1):78-85. PubMed ID: 29032608
[TBL] [Abstract][Full Text] [Related]
11. Bioinformatics Analysis Identifies the Estrogen Receptor 1 (ESR1) Gene and hsa-miR-26a-5p as Potential Prognostic Biomarkers in Patients with Intrahepatic Cholangiocarcinoma.
Qin X; Song Y
Med Sci Monit; 2020 May; 26():e921815. PubMed ID: 32435051
[TBL] [Abstract][Full Text] [Related]
12. Identification of biomarkers and construction of a microRNA-mRNA regulatory network for ependymoma using integrated bioinformatics analysis.
Yang B; Dai JX; Pan YB; Ma YB; Chu SH
Oncol Lett; 2019 Dec; 18(6):6079-6089. PubMed ID: 31788082
[TBL] [Abstract][Full Text] [Related]
13. miRNA profiling of human nasopharyngeal carcinoma cell lines HONE1 and CNE2 after X-ray therapy.
Luo H; Zhong F; Jing X; Lin H; Li Y
Adv Clin Exp Med; 2022 Jun; 31(6):671-687. PubMed ID: 35275451
[TBL] [Abstract][Full Text] [Related]
14. Downregulation of hsa-miR-135b-5p Inhibits Cell Proliferation, Migration, and Invasion in Colon Adenocarcinoma.
Zhang Y; Zhang W; Xia W; Xia J; Zhang H
Genet Res (Camb); 2022; 2022():2907554. PubMed ID: 36407085
[TBL] [Abstract][Full Text] [Related]
15. Identification of Differentially Expressed Genes and miRNAs Associated with Esophageal Squamous Cell Carcinoma by Integrated Analysis of Microarray Data.
Zhang L; Chen J; Cheng T; Yang H; Pan C; Li H
Biomed Res Int; 2020; 2020():1980921. PubMed ID: 32714975
[TBL] [Abstract][Full Text] [Related]
16. Identification of key microRNAs associated with diffuse large B-cell lymphoma by analyzing serum microRNA expressions.
Meng Y; Quan L; Liu A
Gene; 2018 Feb; 642():205-211. PubMed ID: 29128636
[TBL] [Abstract][Full Text] [Related]
17. Identification of key microRNAs and hub genes in non-small-cell lung cancer using integrative bioinformatics and functional analyses.
Song F; Xuan Z; Yang X; Ye X; Pan Z; Fang Q
J Cell Biochem; 2020 Mar; 121(3):2690-2703. PubMed ID: 31692035
[TBL] [Abstract][Full Text] [Related]
18. Identification of miRNA-target gene regulatory networks in liver fibrosis based on bioinformatics analysis.
Tai Y; Zhao C; Gao J; Lan T; Tong H
PeerJ; 2021; 9():e11910. PubMed ID: 34434654
[TBL] [Abstract][Full Text] [Related]
19. An integrated bioinformatic analysis of microarray datasets to identify biomarkers and miRNA-based regulatory networks in leishmaniasis.
Savardashtaki A; Khalili Alashti S; Vafadar A; Sadeghi M; Baneshi M; Hashemi KS; Karami J; Muro A; Manzano-Roman R; Rashidi S
Sci Rep; 2024 Jun; 14(1):12981. PubMed ID: 38839916
[TBL] [Abstract][Full Text] [Related]
20. Unveiling Key Biomarkers and Therapeutic Drugs in Polycystic Ovary Syndrome (PCOS) Through Pathway Enrichment Analysis and Hub Gene-miRNA Networks.
Heidarzadehpilehrood R; Pirhoushiaran M; Binti Osman M; Ling KH; Abdul Hamid H
Iran J Pharm Res; 2023; 22(1):e139985. PubMed ID: 38444712
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
