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Items: 1 to 20 of 153

1.

Music-performance regulates microRNAs in professional musicians.

Nair PS, Kuusi T, Ahvenainen M, Philips AK, Järvelä I.

PeerJ. 2019 Mar 29;7:e6660. doi: 10.7717/peerj.6660. eCollection 2019.

2.

Improvement of cancer subtype prediction by incorporating transcriptome expression data and heterogeneous biological networks.

Guo Y, Qi Y, Li Z, Shang X.

BMC Med Genomics. 2018 Dec 31;11(Suppl 6):119. doi: 10.1186/s12920-018-0435-x.

3.

miRBaseConverter: an R/Bioconductor package for converting and retrieving miRNA name, accession, sequence and family information in different versions of miRBase.

Xu T, Su N, Liu L, Zhang J, Wang H, Zhang W, Gui J, Yu K, Li J, Le TD.

BMC Bioinformatics. 2018 Dec 31;19(Suppl 19):514. doi: 10.1186/s12859-018-2531-5.

4.

Construction of a transcription factor‑long non‑coding RNA‑microRNA network for the identification of key regulators in lung adenocarcinoma and lung squamous cell carcinoma.

Zhao S, Chen H, Ding B, Li J, Lv F, Han K, Zhou D, Yu B, Yu Y, Zhang W.

Mol Med Rep. 2019 Feb;19(2):1101-1109. doi: 10.3892/mmr.2018.9769. Epub 2018 Dec 14.

5.

miRNomes involved in imparting thermotolerance to crop plants.

Gahlaut V, Baranwal VK, Khurana P.

3 Biotech. 2018 Dec;8(12):497. doi: 10.1007/s13205-018-1521-7. Epub 2018 Nov 24. Review.

PMID:
30498670
6.

Functional annotation of differentially expressed fetal cardiac microRNA targets: implication for microRNA-based cardiovascular therapeutics.

Saxena S, Gupta A, Shukla V, Rani V.

3 Biotech. 2018 Dec;8(12):494. doi: 10.1007/s13205-018-1520-8. Epub 2018 Nov 21.

PMID:
30498667
7.

Investigating the Role of MicroRNA and Transcription Factor Co-regulatory Networks in Multiple Sclerosis Pathogenesis.

Nuzziello N, Vilardo L, Pelucchi P, Consiglio A, Liuni S, Trojano M, Liguori M.

Int J Mol Sci. 2018 Nov 20;19(11). pii: E3652. doi: 10.3390/ijms19113652.

8.

Inferring Novel Autophagy Regulators Based on Transcription Factors and Non-Coding RNAs Coordinated Regulatory Network.

Wang S, Wang W, Meng Q, Zhou S, Liu H, Ma X, Zhou X, Liu H, Chen X, Jiang W.

Cells. 2018 Nov 2;7(11). pii: E194. doi: 10.3390/cells7110194.

9.

Integrating Transcriptome and Experiments Reveals the Anti-diabetic Mechanism of Cyclocarya paliurus Formula.

Li J, Zhang Q, Zeng W, Wu Y, Luo M, Zhu Y, Guo AY, Yang X.

Mol Ther Nucleic Acids. 2018 Dec 7;13:419-430. doi: 10.1016/j.omtn.2018.09.024. Epub 2018 Oct 4.

10.

TransmiR v2.0: an updated transcription factor-microRNA regulation database.

Tong Z, Cui Q, Wang J, Zhou Y.

Nucleic Acids Res. 2019 Jan 8;47(D1):D253-D258. doi: 10.1093/nar/gky1023.

11.

Systematic identification and analysis of dysregulated miRNA and transcription factor feed-forward loops in hypertrophic cardiomyopathy.

Shi H, Li J, Song Q, Cheng L, Sun H, Fan W, Li J, Wang Z, Zhang G.

J Cell Mol Med. 2019 Jan;23(1):306-316. doi: 10.1111/jcmm.13928. Epub 2018 Oct 19.

12.

Framework for microRNA variant annotation and prioritization using human population and disease datasets.

Oak N, Ghosh R, Huang KL, Wheeler DA, Ding L, Plon SE.

Hum Mutat. 2019 Jan;40(1):73-89. doi: 10.1002/humu.23668. Epub 2018 Nov 8.

PMID:
30302893
13.

MicroRNA-transcription factor network analysis reveals miRNAs cooperatively suppress RORA in oral squamous cell carcinoma.

Zheng X, Wu K, Liao S, Pan Y, Sun Y, Chen X, Zhang Y, Xia S, Hu Y, Zhang J.

Oncogenesis. 2018 Oct 8;7(10):79. doi: 10.1038/s41389-018-0089-8.

14.

Burkitt lymphoma-associated network construction and important network motif analysis.

Wang K, Ma C, Xing C, Chen CL, Chen Z, Yao Y, Wang J, Tao C.

Oncol Lett. 2018 Sep;16(3):3054-3062. doi: 10.3892/ol.2018.9010. Epub 2018 Jun 21.

15.

Construction of a microRNA‑associated feed‑forward loop network that identifies regulators of cardiac hypertrophy and acute myocardial infarction.

Qu W, Shi S, Sun L, Zhang F, Zhang S, Mu S, Zhao Y, Liu B, Cao X.

Int J Mol Med. 2018 Oct;42(4):2062-2070. doi: 10.3892/ijmm.2018.3790. Epub 2018 Jul 20.

16.

TAM 2.0: tool for MicroRNA set analysis.

Li J, Han X, Wan Y, Zhang S, Zhao Y, Fan R, Cui Q, Zhou Y.

Nucleic Acids Res. 2018 Jul 2;46(W1):W180-W185. doi: 10.1093/nar/gky509.

17.

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.

18.

A meta-analysis of public microarray data identifies biological regulatory networks in Parkinson's disease.

Su L, Wang C, Zheng C, Wei H, Song X.

BMC Med Genomics. 2018 Apr 13;11(1):40. doi: 10.1186/s12920-018-0357-7.

19.

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.

20.

Profiling analysis of circulating microRNA in peripheral blood of patients with class IV lupus nephritis.

Navarro-Quiroz E, Pacheco-Lugo L, Navarro-Quiroz R, Lorenzi H, España-Puccini P, Díaz-Olmos Y, Almendrales L, Olave V, Gonzalez-Torres H, Diaz-Perez A, Dominguez A, Iglesias A, García R, Aroca-Martinez G.

PLoS One. 2017 Nov 14;12(11):e0187973. doi: 10.1371/journal.pone.0187973. eCollection 2017.

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