227 related articles for article (PubMed ID: 31090103)
1. Screening candidate microRNA-mRNA network for predicting the response to chemoresistance in osteosarcoma by bioinformatics analysis.
Dai P; He Y; Luo G; Deng J; Jiang N; Fang T; Li Y; Cheng Y
J Cell Biochem; 2019 Oct; 120(10):16798-16810. PubMed ID: 31090103
[TBL] [Abstract][Full Text] [Related]
2. Identification of Key Genes and miRNAs in Osteosarcoma Patients with Chemoresistance by Bioinformatics Analysis.
Xie B; Li Y; Zhao R; Xu Y; Wu Y; Wang J; Xia D; Han W; Chen D
Biomed Res Int; 2018; 2018():4761064. PubMed ID: 29850522
[TBL] [Abstract][Full Text] [Related]
3. Identification of Potentially Functional CircRNA-miRNA-mRNA Regulatory Network in Gastric Carcinoma using Bioinformatics Analysis.
Yang G; Zhang Y; Yang J
Med Sci Monit; 2019 Nov; 25():8777-8796. PubMed ID: 31747387
[TBL] [Abstract][Full Text] [Related]
4. Analyzing the Interactions of mRNAs and ncRNAs to Predict Competing Endogenous RNA Networks in Osteosarcoma Chemo-Resistance.
Zhu KP; Zhang CL; Ma XL; Hu JP; Cai T; Zhang L
Mol Ther; 2019 Mar; 27(3):518-530. PubMed ID: 30692017
[TBL] [Abstract][Full Text] [Related]
5. Identification of potential micro-messenger RNAs (miRNA-mRNA) interaction network of osteosarcoma.
Xu K; Zhang P; Zhang J; Quan H; Wang J; Liang Y
Bioengineered; 2021 Dec; 12(1):3275-3293. PubMed ID: 34252359
[TBL] [Abstract][Full Text] [Related]
6. Identification of potential crucial genes and construction of microRNA-mRNA negative regulatory networks in osteosarcoma.
Pan Y; Lu L; Chen J; Zhong Y; Dai Z
Hereditas; 2018; 155():21. PubMed ID: 29760609
[TBL] [Abstract][Full Text] [Related]
7. Identification of Potential Biomarkers Involved in Gastric Cancer Through Integrated Analysis of Non-Coding RNA Associated Competing Endogenous RNAs Network.
Xing C; Cai Z; Gong J; Zhou J; Xu J; Guo F
Clin Lab; 2018 Oct; 64(10):1661-1669. PubMed ID: 30336538
[TBL] [Abstract][Full Text] [Related]
8. Exploring the molecular mechanisms of osteosarcoma by the integrated analysis of mRNAs and miRNA microarrays.
Shen H; Wang W; Ni B; Zou Q; Lu H; Wang Z
Int J Mol Med; 2018 Jul; 42(1):21-30. PubMed ID: 29620143
[TBL] [Abstract][Full Text] [Related]
9. Screening candidate microRNA-mRNA regulatory pairs for predicting the response to chemoradiotherapy in rectal cancer by a bioinformatics approach.
Peng Q; Zhu J; Shen P; Yao W; Lei Y; Zou L; Xu Y; Shen Y; Zhu Y
Sci Rep; 2017 Sep; 7(1):11312. PubMed ID: 28900297
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Molecular network-based identification of competing endogenous RNAs in bladder cancer.
Jiang WD; Yuan PC
PLoS One; 2019; 14(8):e0220118. PubMed ID: 31369587
[TBL] [Abstract][Full Text] [Related]
12. Bioinformatics analysis of mRNA and miRNA microarray to identify the key miRNA-mRNA pairs in cisplatin-resistant ovarian cancer.
Xue B; Li S; Jin X; Liu L
BMC Cancer; 2021 Apr; 21(1):452. PubMed ID: 33892654
[TBL] [Abstract][Full Text] [Related]
13. Identification of RNA Expression Profiles in Thyroid Cancer to Construct a Competing Endogenous RNA (ceRNA) Network of mRNAs, Long Noncoding RNAs (lncRNAs), and microRNAs (miRNAs).
Xu Y; Chen J; Yang Z; Xu L
Med Sci Monit; 2019 Feb; 25():1140-1154. PubMed ID: 30745559
[TBL] [Abstract][Full Text] [Related]
14. Comprehensive analysis of differentially expressed profiles of lncRNAs, mRNAs, and miRNAs in laryngeal squamous cell carcinoma in order to construct a ceRNA network and identify potential biomarkers.
Kong X; Qi J; Yan Y; Chen L; Zhao Y; Fang Z; Fan J; Liu M; Liu Y
J Cell Biochem; 2019 Oct; 120(10):17963-17974. PubMed ID: 31127661
[TBL] [Abstract][Full Text] [Related]
15. Construction of a MicroRNA-mRNA Network Underlying Decidualized Endometriotic Cyst Stromal Cells Using Bioinformatics Analysis.
Li J; Zhao B; Yang C; Chen Q
Biomed Res Int; 2020; 2020():9246868. PubMed ID: 32923489
[TBL] [Abstract][Full Text] [Related]
16. Identification of lncRNA-miRNA-mRNA regulatory network associated with epithelial ovarian cancer cisplatin-resistant.
Zhao X; Tang DY; Zuo X; Zhang TD; Wang C
J Cell Physiol; 2019 Nov; 234(11):19886-19894. PubMed ID: 30950060
[TBL] [Abstract][Full Text] [Related]
17. Identification and Validation of a Dysregulated miRNA-Associated mRNA Network in Temporal Lobe Epilepsy.
Li X; Han Y; Li D; Yuan H; Huang S; Chen X; Qin Y
Biomed Res Int; 2021; 2021():4118216. PubMed ID: 34722763
[TBL] [Abstract][Full Text] [Related]
18. Identifying the key genes and microRNAs in colorectal cancer liver metastasis by bioinformatics analysis and in vitro experiments.
Zhang T; Guo J; Gu J; Wang Z; Wang G; Li H; Wang J
Oncol Rep; 2019 Jan; 41(1):279-291. PubMed ID: 30542696
[TBL] [Abstract][Full Text] [Related]
19. In silico identification of key genes and signaling pathways targeted by a panel of signature microRNAs in prostate cancer.
Baruah MM; Sharma N
Med Oncol; 2019 Apr; 36(5):43. PubMed ID: 30937635
[TBL] [Abstract][Full Text] [Related]
20. Construction of microRNA-messenger networks for human osteosarcoma.
Ma G; Zhang C; Luo W; Zhao JL; Wang X; Qian Y
J Cell Physiol; 2019 Aug; 234(8):14145-14153. PubMed ID: 30666640
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
