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Items: 1 to 20 of 101

1.

Peripheral Circulating Exosomal miRNAs Potentially Contribute to the Regulation of Molecular Signaling Networks in Aging.

Zhang H, Jin K.

Int J Mol Sci. 2020 Mar 11;21(6). pii: E1908. doi: 10.3390/ijms21061908.

2.

Identification of key microRNAs and their targets in exosomes of pancreatic cancer using bioinformatics analysis.

Zhao X, Ren Y, Cui N, Wang X, Cui Y.

Medicine (Baltimore). 2018 Sep;97(39):e12632. doi: 10.1097/MD.0000000000012632.

3.

Comparative Analysis of microRNA Expression Profiles of Exosomes Derived from Normal and Hypoxic Preconditioning Human Neural Stem Cells by Next Generation Sequencing.

Zhang G, Chen L, Guo X, Wang H, Chen W, Wu G, Gu B, Miao W, Kong J, Jin X, Yi G, You Y, Su X, Gu N.

J Biomed Nanotechnol. 2018 Jun 1;14(6):1075-1089. doi: 10.1166/jbn.2018.2567.

PMID:
29843872
4.

MicroRNAs and the genetic network in aging.

Inukai S, Slack F.

J Mol Biol. 2013 Oct 9;425(19):3601-8. doi: 10.1016/j.jmb.2013.01.023. Epub 2013 Jan 23. Review.

5.

miRNA-seq analysis of human vertebrae provides insight into the mechanism underlying GIOP.

Ren H, Yu X, Shen G, Zhang Z, Shang Q, Zhao W, Huang J, Yu P, Zhan M, Lu Y, Liang Z, Tang J, Liang, Yao Z, Yang Z, Jiang X.

Bone. 2019 Mar;120:371-386. doi: 10.1016/j.bone.2018.11.013. Epub 2018 Nov 29.

PMID:
30503955
6.

The comparison of microRNA profile of the dermis between the young and elderly.

Li T, Yan X, Jiang M, Xiang L.

J Dermatol Sci. 2016 May;82(2):75-83. doi: 10.1016/j.jdermsci.2016.01.005. Epub 2016 Jan 31.

PMID:
26899446
7.

MicroRNA profile comparison of the corneal endothelia of young and old mice: implications for senescence of the corneal endothelium.

Zhao X, Huang Y, Wang Y, Chen P, Yu Y, Song Z.

Mol Vis. 2013 Aug 6;19:1815-25. eCollection 2013.

8.

Differential microRNA expression profiles and bioinformatics analysis between young and aging spontaneously hypertensive rats.

Wang J, Zhang J, Ding X, Wang Y, Li Z, Zhao W, Jia J, Zhou J, Ge J.

Int J Mol Med. 2018 Mar;41(3):1584-1594. doi: 10.3892/ijmm.2018.3370. Epub 2018 Jan 9.

9.
10.

The involvement of serum exosomal miR-500-3p and miR-770-3p in aging: modulation by calorie restriction.

Lee EK, Jeong HO, Bang EJ, Kim CH, Mun JY, Noh S, Gim JA, Kim DH, Chung KW, Yu BP, Chung HY.

Oncotarget. 2017 Dec 24;9(5):5578-5587. doi: 10.18632/oncotarget.23651. eCollection 2018 Jan 19.

11.

Effects of chronic PM2.5 exposure on pulmonary epithelia: Transcriptome analysis of mRNA-exosomal miRNA interactions.

Xu Z, Wang N, Xu Y, Hua L, Zhou D, Zheng M, Deng X.

Toxicol Lett. 2019 Nov;316:49-59. doi: 10.1016/j.toxlet.2019.09.010. Epub 2019 Sep 11.

PMID:
31520698
12.

Integrating serum exosomal microRNA and liver microRNA profiles disclose the function role of autophagy and mechanisms of Fructus Meliae Toosendan-induced hepatotoxicity in mice.

Yu L, Zheng J, Li J, Wang Y, Lu X, Fan X.

Biomed Pharmacother. 2020 Mar;123:109709. doi: 10.1016/j.biopha.2019.109709. Epub 2019 Dec 25.

13.

An integrative transcriptomic analysis reveals p53 regulated miRNA, mRNA, and lncRNA networks in nasopharyngeal carcinoma.

Gong Z, Yang Q, Zeng Z, Zhang W, Li X, Zu X, Deng H, Chen P, Liao Q, Xiang B, Zhou M, Li X, Li Y, Xiong W, Li G.

Tumour Biol. 2016 Mar;37(3):3683-95. doi: 10.1007/s13277-015-4156-x. Epub 2015 Oct 13.

PMID:
26462838
14.

Role of miRNAs in skeletal muscle aging.

Zheng Y, Kong J, Li Q, Wang Y, Li J.

Clin Interv Aging. 2018 Nov 22;13:2407-2419. doi: 10.2147/CIA.S169202. eCollection 2018.

15.

Characterization and comparative profiling of ovarian microRNAs during ovine anestrus and the breeding season.

Di R, He J, Song S, Tian D, Liu Q, Liang X, Ma Q, Sun M, Wang J, Zhao W, Cao G, Wang J, Yang Z, Ge Y, Chu M.

BMC Genomics. 2014 Oct 15;15:899. doi: 10.1186/1471-2164-15-899.

16.

Integrated analysis of microRNA regulatory network in nasopharyngeal carcinoma with deep sequencing.

Wang F, Lu J, Peng X, Wang J, Liu X, Chen X, Jiang Y, Li X, Zhang B.

J Exp Clin Cancer Res. 2016 Jan 22;35:17. doi: 10.1186/s13046-016-0292-4.

17.

Construction and analysis of mRNA, miRNA, lncRNA, and TF regulatory networks reveal the key genes associated with prostate cancer.

Ye Y, Li SL, Wang SY.

PLoS One. 2018 Aug 23;13(8):e0198055. doi: 10.1371/journal.pone.0198055. eCollection 2018.

18.

Next-generation sequencing-based miRNA expression analysis in Parp1-deficient embryonic stem cell-derived exosomes.

Nozaki T, Sasaki Y, Fukuda I, Isumi M, Nakamoto K, Onodera T, Masutani M.

Biochem Biophys Res Commun. 2018 May 15;499(3):410-415. doi: 10.1016/j.bbrc.2018.03.073. Epub 2018 Mar 22.

PMID:
29534966
19.

Exosomal and Non-Exosomal Transport of Extra-Cellular microRNAs in Follicular Fluid: Implications for Bovine Oocyte Developmental Competence.

Sohel MM, Hoelker M, Noferesti SS, Salilew-Wondim D, Tholen E, Looft C, Rings F, Uddin MJ, Spencer TE, Schellander K, Tesfaye D.

PLoS One. 2013 Nov 4;8(11):e78505. doi: 10.1371/journal.pone.0078505. eCollection 2013.

20.

High-throughput mRNA and miRNA profiling of epithelial-mesenchymal transition in MDCK cells.

Shukla P, Vogl C, Wallner B, Rigler D, Müller M, Macho-Maschler S.

BMC Genomics. 2015 Nov 16;16:944. doi: 10.1186/s12864-015-2036-9.

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