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Items: 1 to 20 of 145

1.

Modelling and measuring intracellular competition for finite resources during gene expression.

Sabi R, Tuller T.

J R Soc Interface. 2019 May 31;16(154):20180887. doi: 10.1098/rsif.2018.0887.

2.

anamiR: integrated analysis of MicroRNA and gene expression profiling.

Wang TT, Lee CY, Lai LC, Tsai MH, Lu TP, Chuang EY.

BMC Bioinformatics. 2019 May 14;20(1):239. doi: 10.1186/s12859-019-2870-x.

3.

Global identification of functional microRNA-mRNA interactions in Drosophila.

Wessels HH, Lebedeva S, Hirsekorn A, Wurmus R, Akalin A, Mukherjee N, Ohler U.

Nat Commun. 2019 Apr 9;10(1):1626. doi: 10.1038/s41467-019-09586-z.

4.

Overexpression of microRNA‑101 causes anti‑tumor effects by targeting CREB1 in colon cancer.

Yang Q, Yu W, Han X.

Mol Med Rep. 2019 Apr;19(4):3159-3167. doi: 10.3892/mmr.2019.9952. Epub 2019 Feb 14.

5.

Comprehensive Investigation of miRNome Identifies Novel Candidate miRNA-mRNA Interactions Implicated in T-Cell Acute Lymphoblastic Leukemia.

Dawidowska M, Jaksik R, Drobna M, Szarzyńska-Zawadzka B, Kosmalska M, Sędek Ł, Machowska L, Lalik A, Lejman M, Ussowicz M, Kałwak K, Kowalczyk JR, Szczepański T, Witt M.

Neoplasia. 2019 Mar;21(3):294-310. doi: 10.1016/j.neo.2019.01.004. Epub 2019 Feb 11.

6.

An innovative approach to predict immune-associated genes mutually targeted by cow and human milk microRNAs expression profiles.

Chokeshaiusaha K, Sananmuang T, Puthier D, Nguyen C.

Vet World. 2018 Sep;11(9):1203-1209. doi: 10.14202/vetworld.2018.1203-1209. Epub 2018 Sep 1.

7.

New miRNA Signature Heralds Human NK Cell Subsets at Different Maturation Steps: Involvement of miR-146a-5p in the Regulation of KIR Expression.

Pesce S, Squillario M, Greppi M, Loiacono F, Moretta L, Moretta A, Sivori S, Castagnola P, Barla A, Candiani S, Marcenaro E.

Front Immunol. 2018 Oct 15;9:2360. doi: 10.3389/fimmu.2018.02360. eCollection 2018.

8.

A Filtering Method for Identification of Significant Target mRNAs of Coexpressed and Differentially Expressed MicroRNA Clusters.

Lee SY, Shin SY, Yoon YJ, Park YR.

J Healthc Eng. 2018 Sep 12;2018:4932904. doi: 10.1155/2018/4932904. eCollection 2018.

9.

Predicting microRNA targeting efficacy in Drosophila.

Agarwal V, Subtelny AO, Thiru P, Ulitsky I, Bartel DP.

Genome Biol. 2018 Oct 4;19(1):152. doi: 10.1186/s13059-018-1504-3.

10.

Single-cell mRNA profiling reveals the hierarchical response of miRNA targets to miRNA induction.

Rzepiela AJ, Ghosh S, Breda J, Vina-Vilaseca A, Syed AP, Gruber AJ, Eschbach K, Beisel C, van Nimwegen E, Zavolan M.

Mol Syst Biol. 2018 Aug 27;14(8):e8266. doi: 10.15252/msb.20188266.

11.

A data-driven, knowledge-based approach to biomarker discovery: application to circulating microRNA markers of colorectal cancer prognosis.

Vafaee F, Diakos C, Kirschner MB, Reid G, Michael MZ, Horvath LG, Alinejad-Rokny H, Cheng ZJ, Kuncic Z, Clarke S.

NPJ Syst Biol Appl. 2018 Jun 1;4:20. doi: 10.1038/s41540-018-0056-1. eCollection 2018.

12.

Construction of an oesophageal cancer-specific ceRNA network based on miRNA, lncRNA, and mRNA expression data.

Xue WH, Fan ZR, Li LF, Lu JL, Ma BJ, Kan QC, Zhao J.

World J Gastroenterol. 2018 Jan 7;24(1):23-34. doi: 10.3748/wjg.v24.i1.23.

13.

RBiomirGS: an all-in-one miRNA gene set analysis solution featuring target mRNA mapping and expression profile integration.

Zhang J, Storey KB.

PeerJ. 2018 Jan 12;6:e4262. doi: 10.7717/peerj.4262. eCollection 2018.

14.

Methods for Using Small Non-Coding RNAs to Improve Recombinant Protein Expression in Mammalian Cells.

Inwood S, Betenbaugh MJ, Shiloach J.

Genes (Basel). 2018 Jan 9;9(1). pii: E25. doi: 10.3390/genes9010025. Review.

15.

mirDIP 4.1-integrative database of human microRNA target predictions.

Tokar T, Pastrello C, Rossos AEM, Abovsky M, Hauschild AC, Tsay M, Lu R, Jurisica I.

Nucleic Acids Res. 2018 Jan 4;46(D1):D360-D370. doi: 10.1093/nar/gkx1144.

16.

Overexpression of Exportin-5 Overrides the Inhibitory Effect of miRNAs Regulation Control and Stabilize Proteins via Posttranslation Modifications in Prostate Cancer.

Höti N, Yang S, Aiyetan P, Kumar B, Hu Y, Clark D, Eroglu AU, Shah P, Johnson T, Chowdery WH, Zhang H, Rodriguez R.

Neoplasia. 2017 Oct;19(10):817-829. doi: 10.1016/j.neo.2017.07.008. Epub 2017 Sep 4.

17.

Neuronal-expressed microRNA-targeted pseudogenes compete with coding genes in the human brain.

Barbash S, Simchovitz A, Buchman AS, Bennett DA, Shifman S, Soreq H.

Transl Psychiatry. 2017 Aug 8;7(8):e1199. doi: 10.1038/tp.2017.163.

18.

Comparative miRomics of Salt-Tolerant and Salt-Sensitive Rice.

Goswami K, Tripathi A, Sanan-Mishra N.

J Integr Bioinform. 2017 Jun 22;14(1). pii: /j/jib.2017.14.issue-1/jib-2017-0002/jib-2017-0002.xml. doi: 10.1515/jib-2017-0002.

19.

A microRNA negative feedback loop downregulates vesicle transport and inhibits fear memory.

Mathew RS, Tatarakis A, Rudenko A, Johnson-Venkatesh EM, Yang YJ, Murphy EA, Todd TP, Schepers ST, Siuti N, Martorell AJ, Falls WA, Hammack SE, Walsh CA, Tsai LH, Umemori H, Bouton ME, Moazed D.

Elife. 2016 Dec 21;5. pii: e22467. doi: 10.7554/eLife.22467.

20.

Tools for Sequence-Based miRNA Target Prediction: What to Choose?

Riffo-Campos ÁL, Riquelme I, Brebi-Mieville P.

Int J Mol Sci. 2016 Dec 9;17(12). pii: E1987. Review.

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