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Items: 1 to 20 of 45

1.

Factors Regulating microRNA Expression and Function in Multiple Myeloma.

Misiewicz-Krzeminska I, Krzeminski P, Corchete LA, Quwaider D, Rojas EA, Herrero AB, Gutiérrez NC.

Noncoding RNA. 2019 Jan 16;5(1). pii: E9. doi: 10.3390/ncrna5010009. Review.

2.

Uncontrolled Diabetes Mellitus Has No Major Influence on the Platelet Transcriptome.

Nührenberg TG, Cederqvist M, Marini F, Stratz C, Grüning BA, Trenk D, Binder H, Gilsbach R, Neumann FJ, Hein L.

Biomed Res Int. 2018 Nov 1;2018:8989252. doi: 10.1155/2018/8989252. eCollection 2018.

3.

Differentially-Expressed miRNAs in Ectopic Stromal Cells Contribute to Endometriosis Development: The Plausible Role of miR-139-5p and miR-375.

Rekker K, Tasa T, Saare M, Samuel K, Kadastik Ü, Karro H, Götte M, Salumets A, Peters M.

Int J Mol Sci. 2018 Nov 28;19(12). pii: E3789. doi: 10.3390/ijms19123789.

4.

From Single Level Analysis to Multi-Omics Integrative Approaches: A Powerful Strategy towards the Precision Oncology.

Gallo Cantafio ME, Grillone K, Caracciolo D, Scionti F, Arbitrio M, Barbieri V, Pensabene L, Guzzi PH, Di Martino MT.

High Throughput. 2018 Oct 26;7(4). pii: E33. doi: 10.3390/ht7040033. Review.

5.

miRmapper: A Tool for Interpretation of miRNA⁻mRNA Interaction Networks.

da Silveira WA, Renaud L, Simpson J, Glen WB Jr, Hazard ES, Chung D, Hardiman G.

Genes (Basel). 2018 Sep 14;9(9). pii: E458. doi: 10.3390/genes9090458.

6.

Stress-associated changes in salivary microRNAs can be detected in response to the Trier Social Stress Test: An exploratory study.

Wiegand C, Heusser P, Klinger C, Cysarz D, Büssing A, Ostermann T, Savelsbergh A.

Sci Rep. 2018 May 8;8(1):7112. doi: 10.1038/s41598-018-25554-x.

7.

Integrated Characterization of MicroRNA and mRNA Transcriptome in Papillary Thyroid Carcinoma.

Mohamad Yusof A, Jamal R, Muhammad R, Abdullah Suhaimi SN, Mohamed Rose I, Saidin S, Ab Mutalib NS.

Front Endocrinol (Lausanne). 2018 Apr 16;9:158. doi: 10.3389/fendo.2018.00158. eCollection 2018.

8.

Small RNAs in Circulating Exosomes of Cancer Patients: A Minireview.

Bortoluzzi S, Lovisa F, Gaffo E, Mussolin L.

High Throughput. 2017 Oct 6;6(4). pii: E13. doi: 10.3390/ht6040013. Review.

9.

Integration analysis of microRNA and mRNA paired expression profiling identifies deregulated microRNA-transcription factor-gene regulatory networks in ovarian endometriosis.

Zhao L, Gu C, Ye M, Zhang Z, Li L, Fan W, Meng Y.

Reprod Biol Endocrinol. 2018 Jan 22;16(1):4. doi: 10.1186/s12958-017-0319-5.

10.

Literature-based condition-specific miRNA-mRNA target prediction.

Oh M, Rhee S, Moon JH, Chae H, Lee S, Kang J, Kim S.

PLoS One. 2017 Mar 31;12(3):e0174999. doi: 10.1371/journal.pone.0174999. eCollection 2017.

11.

Analysis of miRNA, mRNA, and TF interactions through network-based methods.

Guzzi PH, Di Martino MT, Tagliaferri P, Tassone P, Cannataro M.

EURASIP J Bioinform Syst Biol. 2015 Jun 4;2015:4. doi: 10.1186/s13637-015-0023-8. eCollection 2015 Dec.

12.

SpidermiR: An R/Bioconductor Package for Integrative Analysis with miRNA Data.

Cava C, Colaprico A, Bertoli G, Graudenzi A, Silva TC, Olsen C, Noushmehr H, Bontempi G, Mauri G, Castiglioni I.

Int J Mol Sci. 2017 Jan 27;18(2). pii: E274. doi: 10.3390/ijms18020274.

13.

Integrative miRNA-Gene Expression Analysis Enables Refinement of Associated Biology and Prediction of Response to Cetuximab in Head and Neck Squamous Cell Cancer.

De Cecco L, Giannoccaro M, Marchesi E, Bossi P, Favales F, Locati LD, Licitra L, Pilotti S, Canevari S.

Genes (Basel). 2017 Jan 14;8(1). pii: E35. doi: 10.3390/genes8010035.

14.

Integrated microRNA and messenger RNA analysis in aortic stenosis.

Coffey S, Williams MJ, Phillips LV, Galvin IF, Bunton RW, Jones GT.

Sci Rep. 2016 Nov 23;6:36904. doi: 10.1038/srep36904.

15.

Integrated microRNA, gene expression and transcription factors signature in papillary thyroid cancer with lymph node metastasis.

Ab Mutalib NS, Othman SN, Mohamad Yusof A, Abdullah Suhaimi SN, Muhammad R, Jamal R.

PeerJ. 2016 Jun 15;4:e2119. doi: 10.7717/peerj.2119. eCollection 2016.

16.

A data-driven network model of primary myelofibrosis: transcriptional and post-transcriptional alterations in CD34+ cells.

Calura E, Pizzini S, Bisognin A, Coppe A, Sales G, Gaffo E, Fanelli T, Mannarelli C, Zini R, Norfo R, Pennucci V, Manfredini R, Romualdi C, Guglielmelli P, Vannucchi AM, Bortoluzzi S.

Blood Cancer J. 2016 Jun 24;6(6):e439. doi: 10.1038/bcj.2016.47.

17.

MicroRNA-mRNA interactions underlying colorectal cancer molecular subtypes.

Cantini L, Isella C, Petti C, Picco G, Chiola S, Ficarra E, Caselle M, Medico E.

Nat Commun. 2015 Nov 17;6:8878. doi: 10.1038/ncomms9878.

18.

DIANA-mirExTra v2.0: Uncovering microRNAs and transcription factors with crucial roles in NGS expression data.

Vlachos IS, Vergoulis T, Paraskevopoulou MD, Lykokanellos F, Georgakilas G, Georgiou P, Chatzopoulos S, Karagkouni D, Christodoulou F, Dalamagas T, Hatzigeorgiou AG.

Nucleic Acids Res. 2016 Jul 8;44(W1):W128-34. doi: 10.1093/nar/gkw455. Epub 2016 May 20.

19.

The modularity and dynamicity of miRNA-mRNA interactions in high-grade serous ovarian carcinomas and the prognostic implication.

Zhang W, Edwards A, Fan W, Flemington EK, Zhang K.

Comput Biol Chem. 2016 Aug;63:3-14. doi: 10.1016/j.compbiolchem.2016.02.005. Epub 2016 Feb 27.

20.

Elucidating MicroRNA Regulatory Networks Using Transcriptional, Post-transcriptional, and Histone Modification Measurements.

Gosline SJ, Gurtan AM, JnBaptiste CK, Bosson A, Milani P, Dalin S, Matthews BJ, Yap YS, Sharp PA, Fraenkel E.

Cell Rep. 2016 Jan 12;14(2):310-9. doi: 10.1016/j.celrep.2015.12.031. Epub 2015 Dec 31.

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