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Items: 1 to 20 of 86

1.

Activation of the interferon type I response rather than autophagy contributes to myogenesis inhibition in congenital DM1 myoblasts.

Rizzo M, Beffy P, Del Carratore R, Falleni A, Pretini V, D'Aurizio R, Botta A, Evangelista M, Stoccoro A, Coppedè F, Furling D, Simili M.

Cell Death Dis. 2018 Oct 19;9(11):1071. doi: 10.1038/s41419-018-1080-1.

2.

Integrative analysis of differentially expressed genes and miRNAs predicts complex T3-mediated protective circuits in a rat model of cardiac ischemia reperfusion.

Forini F, Nicolini G, Kusmic C, D'Aurizio R, Rizzo M, Baumgart M, Groth M, Doccini S, Iervasi G, Pitto L.

Sci Rep. 2018 Sep 14;8(1):13870. doi: 10.1038/s41598-018-32237-0.

3.

The microRNA miR-21 Is a Mediator of FGF8 Action on Cortical COUP-TFI Translation.

Terrigno M, Bertacchi M, Pandolfini L, Baumgart M, Calvello M, Cellerino A, Studer M, Cremisi F.

Stem Cell Reports. 2018 Sep 11;11(3):756-769. doi: 10.1016/j.stemcr.2018.08.002. Epub 2018 Aug 30.

4.

Identification and characterization of ncRNA-associated ceRNA networks in Arabidopsis leaf development.

Meng X, Zhang P, Chen Q, Wang J, Chen M.

BMC Genomics. 2018 Aug 13;19(1):607. doi: 10.1186/s12864-018-4993-2.

5.

SHIP-AHOY (Study of High Blood Pressure in Pediatrics: Adult Hypertension Onset in Youth).

Mendizábal B, Urbina EM, Becker R, Daniels SR, Falkner BE, Hamdani G, Hanevold CD, Hooper SR, Ingelfinger JR, Lande M, Martin LJ, Meyers K, Mitsnefes M, Rosner B, Samuels JA, Flynn JT.

Hypertension. 2018 Sep;72(3):625-631. doi: 10.1161/HYPERTENSIONAHA.118.11434.

PMID:
29987102
6.
7.

RegenDbase: a comparative database of noncoding RNA regulation of tissue regeneration circuits across multiple taxa.

King BL, Rosenstein MC, Smith AM, Dykeman CA, Smith GA, Yin VP.

NPJ Regen Med. 2018 May 29;3:10. doi: 10.1038/s41536-018-0049-0. eCollection 2018.

8.

miR-MaGiC improves quantification accuracy for small RNA-seq.

Russell PH, Vestal B, Shi W, Rudra PD, Dowell R, Radcliffe R, Saba L, Kechris K.

BMC Res Notes. 2018 May 15;11(1):296. doi: 10.1186/s13104-018-3418-2.

9.

MicroRNA-mRNA expression profiles associated with medulloblastoma subgroup 4.

Gershanov S, Toledano H, Michowiz S, Barinfeld O, Pinhasov A, Goldenberg-Cohen N, Salmon-Divon M.

Cancer Manag Res. 2018 Feb 16;10:339-352. doi: 10.2147/CMAR.S156709. eCollection 2018.

10.

Evaluation of Bioinformatics Approaches for Next-Generation Sequencing Analysis of microRNAs with a Toxicogenomics Study Design.

Bisgin H, Gong B, Wang Y, Tong W.

Front Genet. 2018 Feb 6;9:22. doi: 10.3389/fgene.2018.00022. eCollection 2018.

11.

Integrated microRNA and mRNA network analysis of the human myometrial transcriptome in the transition from quiescence to labor.

Ackerman WE 4th, Buhimschi IA, Brubaker D, Maxwell S, Rood KM, Chance MR, Jing H, Mesiano S, Buhimschi CS.

Biol Reprod. 2018 Jun 1;98(6):834-845. doi: 10.1093/biolre/ioy040.

12.

The Prostate Cancer Cells Resistant to Docetaxel as in vitro Model for Discovering MicroRNAs Predictive of the Onset of Docetaxel Resistance.

Bascetta L, Oliviero A, D'Aurizio R, Evangelista M, Mercatanti A, Pellegrini M, Marrocolo F, Bracarda S, Rizzo M.

Int J Mol Sci. 2017 Jul 13;18(7). pii: E1512. doi: 10.3390/ijms18071512.

13.

Transcriptome-Wide Analysis of Botrytis elliptica Responsive microRNAs and Their Targets in Lilium Regale Wilson by High-Throughput Sequencing and Degradome Analysis.

Gao X, Cui Q, Cao QZ, Liu Q, He HB, Zhang DM, Jia GX.

Front Plant Sci. 2017 May 18;8:753. doi: 10.3389/fpls.2017.00753. eCollection 2017.

14.

Molecular, phenotypic, and sample-associated data to describe pluripotent stem cell lines and derivatives.

Daily K, Ho Sui SJ, Schriml LM, Dexheimer PJ, Salomonis N, Schroll R, Bush S, Keddache M, Mayhew C, Lotia S, Perumal TM, Dang K, Pantano L, Pico AR, Grassman E, Nordling D, Hide W, Hatzopoulos AK, Malik P, Cancelas JA, Lutzko C, Aronow BJ, Omberg L.

Sci Data. 2017 Mar 28;4:170030. doi: 10.1038/sdata.2017.30.

15.

QuickMIRSeq: a pipeline for quick and accurate quantification of both known miRNAs and isomiRs by jointly processing multiple samples from microRNA sequencing.

Zhao S, Gordon W, Du S, Zhang C, He W, Xi L, Mathur S, Agostino M, Paradis T, von Schack D, Vincent M, Zhang B.

BMC Bioinformatics. 2017 Mar 20;18(1):180. doi: 10.1186/s12859-017-1601-4.

16.

Tumor Cell-Derived Microvesicles Induced Not Epithelial-Mesenchymal Transition but Apoptosis in Human Proximal Tubular (HK-2) Cells: Implications for Renal Impairment in Multiple Myeloma.

Zhao A, Kong F, Liu CJ, Yan G, Gao F, Guo H, Guo AY, Chen Z, Li Q.

Int J Mol Sci. 2017 Feb 27;18(3). pii: E513. doi: 10.3390/ijms18030513.

17.
18.

Wnt-signalling pathways and microRNAs network in carcinogenesis: experimental and bioinformatics approaches.

Onyido EK, Sweeney E, Nateri AS.

Mol Cancer. 2016 Sep 2;15(1):56. doi: 10.1186/s12943-016-0541-3. Review.

19.

Discovering miRNA Regulatory Networks in Holt-Oram Syndrome Using a Zebrafish Model.

D'Aurizio R, Russo F, Chiavacci E, Baumgart M, Groth M, D'Onofrio M, Arisi I, Rainaldi G, Pitto L, Pellegrini M.

Front Bioeng Biotechnol. 2016 Jul 14;4:60. doi: 10.3389/fbioe.2016.00060. eCollection 2016.

20.

DICER governs characteristics of glioma stem cells and the resulting tumors in xenograft mouse models of glioblastoma.

Mansouri S, Singh S, Alamsahebpour A, Burrell K, Li M, Karabork M, Ekinci C, Koch E, Solaroglu I, Chang JT, Wouters B, Aldape K, Zadeh G.

Oncotarget. 2016 Aug 30;7(35):56431-56446. doi: 10.18632/oncotarget.10570.

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