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Journal Abstract Search
395 related items for 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 29; 14(2):719-732. PubMed ID: 37201049 [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 30; 39(8):. PubMed ID: 31311829 [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 30; 73():101623. PubMed ID: 34543801 [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 Dec 30; 14():6783-6798. PubMed ID: 34916825 [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 02; 100(26):e26495. PubMed ID: 34190177 [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 Jul 02; 2023():2295788. PubMed ID: 36798788 [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 Jul 02; 13():838869. PubMed ID: 35386284 [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 02; 47(1):78-85. PubMed ID: 29032608 [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 21; 26():e921815. PubMed ID: 32435051 [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 21; 18(6):6079-6089. PubMed ID: 31788082 [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 21; 31(6):671-687. PubMed ID: 35275451 [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 Jun 21; 2022():2907554. PubMed ID: 36407085 [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 Jun 21; 2020():1980921. PubMed ID: 32714975 [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 05; 642():205-211. PubMed ID: 29128636 [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 05; 121(3):2690-2703. PubMed ID: 31692035 [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 Mar 05; 9():e11910. PubMed ID: 34434654 [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 05; 14(1):12981. PubMed ID: 38839916 [Abstract] [Full Text] [Related]