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Items: 1 to 20 of 37

1.

HIV-1 infection increases microRNAs that inhibit Dicer1, HRB and HIV-EP2, thereby reducing viral replication.

Modai S, Farberov L, Herzig E, Isakov O, Hizi A, Shomron N.

PLoS One. 2019 Jan 25;14(1):e0211111. doi: 10.1371/journal.pone.0211111. eCollection 2019.

2.

Exploring miRNA-mRNA regulatory network in cardiac pathology in Na+/H+ exchanger isoform 1 transgenic mice.

Xue J, Zhou D, Poulsen O, Hartley I, Imamura T, Xie EX, Haddad GG.

Physiol Genomics. 2018 Oct 1;50(10):846-861. doi: 10.1152/physiolgenomics.00048.2018. Epub 2018 Jul 20.

PMID:
30029588
3.

Comparative analysis of miRNA profile in human dendritic cells infected with respiratory syncytial virus and human metapneumovirus.

Baños-Lara MDR, Zabaleta J, Garai J, Baddoo M, Guerrero-Plata A.

BMC Res Notes. 2018 Jul 3;11(1):432. doi: 10.1186/s13104-018-3541-0.

4.

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.

5.

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.

6.

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.

7.

miR-103 inhibits proliferation and sensitizes hemopoietic tumor cells for glucocorticoid-induced apoptosis.

Kfir-Erenfeld S, Haggiag N, Biton M, Stepensky P, Assayag-Asherie N, Yefenof E.

Oncotarget. 2017 Jan 3;8(1):472-489. doi: 10.18632/oncotarget.13447.

8.

Evaluation of microRNA alignment techniques.

Ziemann M, Kaspi A, El-Osta A.

RNA. 2016 Aug;22(8):1120-38. doi: 10.1261/rna.055509.115. Epub 2016 Jun 9.

9.

miARma-Seq: a comprehensive tool for miRNA, mRNA and circRNA analysis.

Andrés-León E, Núñez-Torres R, Rojas AM.

Sci Rep. 2016 May 11;6:25749. doi: 10.1038/srep25749. Erratum in: Sci Rep. 2018 Jan 08;8:46928.

10.

isomiR-SEA: an RNA-Seq analysis tool for miRNAs/isomiRs expression level profiling and miRNA-mRNA interaction sites evaluation.

Urgese G, Paciello G, Acquaviva A, Ficarra E.

BMC Bioinformatics. 2016 Mar 31;17:148. doi: 10.1186/s12859-016-0958-0.

11.

MicroRNA from Moringa oleifera: Identification by High Throughput Sequencing and Their Potential Contribution to Plant Medicinal Value.

Pirrò S, Zanella L, Kenzo M, Montesano C, Minutolo A, Potestà M, Sobze MS, Canini A, Cirilli M, Muleo R, Colizzi V, Galgani A.

PLoS One. 2016 Mar 1;11(3):e0149495. doi: 10.1371/journal.pone.0149495. eCollection 2016.

12.

iSRAP - a one-touch research tool for rapid profiling of small RNA-seq data.

Quek C, Jung CH, Bellingham SA, Lonie A, Hill AF.

J Extracell Vesicles. 2015 Nov 9;4:29454. doi: 10.3402/jev.v4.29454. eCollection 2015.

13.

Computational Approaches for the Analysis of ncRNA through Deep Sequencing Techniques.

Veneziano D, Nigita G, Ferro A.

Front Bioeng Biotechnol. 2015 Jun 3;3:77. doi: 10.3389/fbioe.2015.00077. eCollection 2015. Review.

14.

Optimization of miRNA-seq data preprocessing.

Tam S, Tsao MS, McPherson JD.

Brief Bioinform. 2015 Nov;16(6):950-63. doi: 10.1093/bib/bbv019. Epub 2015 Apr 17.

15.

plantDARIO: web based quantitative and qualitative analysis of small RNA-seq data in plants.

Patra D, Fasold M, Langenberger D, Steger G, Grosse I, Stadler PF.

Front Plant Sci. 2014 Dec 23;5:708. doi: 10.3389/fpls.2014.00708. eCollection 2014.

16.

Next-generation sequencing of small RNAs from inner ear sensory epithelium identifies microRNAs and defines regulatory pathways.

Rudnicki A, Isakov O, Ushakov K, Shivatzki S, Weiss I, Friedman LM, Shomron N, Avraham KB.

BMC Genomics. 2014 Jun 18;15:484. doi: 10.1186/1471-2164-15-484.

17.

CAP-miRSeq: a comprehensive analysis pipeline for microRNA sequencing data.

Sun Z, Evans J, Bhagwate A, Middha S, Bockol M, Yan H, Kocher JP.

BMC Genomics. 2014 Jun 3;15:423. doi: 10.1186/1471-2164-15-423.

18.

MicroRNA-29c mediates initiation of gastric carcinogenesis by directly targeting ITGB1.

Han TS, Hur K, Xu G, Choi B, Okugawa Y, Toiyama Y, Oshima H, Oshima M, Lee HJ, Kim VN, Chang AN, Goel A, Yang HK.

Gut. 2015 Feb;64(2):203-14. doi: 10.1136/gutjnl-2013-306640. Epub 2014 May 28.

19.

Analyzing the microRNA Transcriptome in Plants Using Deep Sequencing Data.

Yang X, Li L.

Biology (Basel). 2012 Aug 15;1(2):297-310. doi: 10.3390/biology1020297.

20.

eRNA: a graphic user interface-based tool optimized for large data analysis from high-throughput RNA sequencing.

Yuan T, Huang X, Dittmar RL, Du M, Kohli M, Boardman L, Thibodeau SN, Wang L.

BMC Genomics. 2014 Mar 5;15:176. doi: 10.1186/1471-2164-15-176.

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