239 related articles for article (PubMed ID: 24809055)
1. Identification of microRNA as sepsis biomarker based on miRNAs regulatory network analysis.
Huang J; Sun Z; Yan W; Zhu Y; Lin Y; Chen J; Shen B; Wang J
Biomed Res Int; 2014; 2014():594350. PubMed ID: 24809055
[TBL] [Abstract][Full Text] [Related]
2. Identification and Validation of Potential miRNAs, as Biomarkers for Sepsis and Associated Lung Injury: A Network-Based Approach.
Ahmad S; Ahmed MM; Hasan PMZ; Sharma A; Bilgrami AL; Manda K; Ishrat R; Syed MA
Genes (Basel); 2020 Nov; 11(11):. PubMed ID: 33182754
[TBL] [Abstract][Full Text] [Related]
3. The
Xu G; Mo L; Wu C; Shen X; Dong H; Yu L; Pan P; Pan K
Ren Fail; 2019 Nov; 41(1):955-966. PubMed ID: 31658856
[No Abstract] [Full Text] [Related]
4. Screening and identification of potential novel biomarker for diagnosis of complicated Plasmodium vivax malaria.
Kaur H; Sehgal R; Kumar A; Sehgal A; Bansal D; Sultan AA
J Transl Med; 2018 Oct; 16(1):272. PubMed ID: 30286756
[TBL] [Abstract][Full Text] [Related]
5. Identification of potential miRNA-mRNA regulatory network contributing to pathogenesis of HBV-related HCC.
Lou W; Liu J; Ding B; Chen D; Xu L; Ding J; Jiang D; Zhou L; Zheng S; Fan W
J Transl Med; 2019 Jan; 17(1):7. PubMed ID: 30602391
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Plasma microRNA Profiles as a Potential Biomarker in Differentiating Adult-Onset Still's Disease From Sepsis.
Hu Q; Gong W; Gu J; Geng G; Li T; Tian R; Yang Z; Zhang H; Shao L; Liu T; Wan L; Jia J; Yang C; Shi Y; Shi H
Front Immunol; 2018; 9():3099. PubMed ID: 30687316
[TBL] [Abstract][Full Text] [Related]
8. miR‑148 family members are putative biomarkers for sepsis.
Dong L; Li H; Zhang S; Yang G
Mol Med Rep; 2019 Jun; 19(6):5133-5141. PubMed ID: 31059023
[TBL] [Abstract][Full Text] [Related]
9. Identification of atrial fibrillation-related circular RNAs and constructing the integrative regulatory network of circular RNAs, microRNAs and mRNAs by bioinformatics analysis.
Zhai Z; Qin T; Liu F; Han L; Zhou H; Li Q; Xia Z; Li J
Cell Mol Biol (Noisy-le-grand); 2020 Oct; 66(7):161-168. PubMed ID: 33287936
[TBL] [Abstract][Full Text] [Related]
10. Biomarker microRNAs for prostate cancer metastasis: screened with a network vulnerability analysis model.
Lin Y; Chen F; Shen L; Tang X; Du C; Sun Z; Ding H; Chen J; Shen B
J Transl Med; 2018 May; 16(1):134. PubMed ID: 29784056
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Bioinformatics-Based Study to Investigate Potential Differentially Expressed Genes and miRNAs in Pediatric Sepsis.
Xie K; Kong S; Li F; Zhang Y; Wang J; Zhao W
Med Sci Monit; 2020 Jun; 26():e923881. PubMed ID: 32575108
[TBL] [Abstract][Full Text] [Related]
13. Integration of high‑throughput data of microRNA and mRNA expression profiles reveals novel insights into the mechanism of liver fibrosis.
Zhang Y; Liu J; Ma Y; Wang J; Zhu J; Liu J; Zhang J
Mol Med Rep; 2019 Jan; 19(1):115-124. PubMed ID: 30431126
[TBL] [Abstract][Full Text] [Related]
14. Microarray analysis of microRNA expression in peripheral blood mononuclear cells of critically ill patients with influenza A (H1N1).
Song H; Wang Q; Guo Y; Liu S; Song R; Gao X; Dai L; Li B; Zhang D; Cheng J
BMC Infect Dis; 2013 Jun; 13():257. PubMed ID: 23731466
[TBL] [Abstract][Full Text] [Related]
15. Identification of candidate miRNA biomarkers from miRNA regulatory network with application to prostate cancer.
Zhang W; Zang J; Jing X; Sun Z; Yan W; Yang D; Shen B; Guo F
J Transl Med; 2014 Mar; 12():66. PubMed ID: 24618011
[TBL] [Abstract][Full Text] [Related]
16. Construction of liver hepatocellular carcinoma-specific lncRNA-miRNA-mRNA network based on bioinformatics analysis.
Wang R; Hu X; Liu X; Bai L; Gu J; Li Q
PLoS One; 2021; 16(4):e0249881. PubMed ID: 33861762
[TBL] [Abstract][Full Text] [Related]
17. Identification of potential transcriptomic markers in developing pediatric sepsis: a weighted gene co-expression network analysis and a case-control validation study.
Li Y; Li Y; Bai Z; Pan J; Wang J; Fang F
J Transl Med; 2017 Dec; 15(1):254. PubMed ID: 29237456
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. NovelmiRNA-25 inhibits AMPD2 in peripheral blood mononuclear cells of patients with systemic lupus erythematosus and represents a promising novel biomarker.
Guo G; Wang H; Shi X; Ye L; Wu K; Lin K; Ye S; Li B; Zhang H; Lin Q; Ye S; Xue X; Chen C
J Transl Med; 2018 Dec; 16(1):370. PubMed ID: 30577810
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]