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Showing 1 to 12 of 63 entries
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MicroRNAs and triple negative breast cancer.

International journal of molecular sciences

D'Ippolito E, Iorio MV.
PMID: 24284394
Int J Mol Sci. 2013 Nov 11;14(11):22202-20. doi: 10.3390/ijms141122202.

Triple Negative Breast Cancer (TNBC) is a very aggressive tumor subtype, which still lacks specific markers for an effective targeted therapy. Despite the common feature of negativity for the three most relevant receptors (ER, PgR and HER2), TNBC is...

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D'Ippolito E, Iorio MV. MicroRNAs and triple negative breast cancer. Int J Mol Sci. 2013;14(11):22202-20doi: 10.3390/ijms141122202.
D'Ippolito, E., & Iorio, M. V. (2013). MicroRNAs and triple negative breast cancer. International journal of molecular sciences, 14(11), 22202-20. https://doi.org/10.3390/ijms141122202
D'Ippolito, Elvira, and Iorio, Marilena V. "MicroRNAs and triple negative breast cancer." International journal of molecular sciences vol. 14,11 (2013): 22202-20. doi: https://doi.org/10.3390/ijms141122202
D'Ippolito E, Iorio MV. MicroRNAs and triple negative breast cancer. Int J Mol Sci. 2013 Nov 11;14(11):22202-20. doi: 10.3390/ijms141122202. PMID: 24284394; PMCID: PMC3856060.
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The co-inertia approach in identification of specific microRNA in early and advanced atherosclerosis plaque.

Medical hypotheses

Jovanović I, Zivković M, Jovanović J, Djurić T, Stanković A.
PMID: 24815336
Med Hypotheses. 2014 Jul;83(1):11-5. doi: 10.1016/j.mehy.2014.04.019. Epub 2014 Apr 23.

MicroRNAs (miRs) are short, non-coding RNAs that regulate gene expression by absolute or partial binding to mRNA, which results in transcript degradation and translation blocking. Atherosclerosis, as a complex and progressive disease, represents one of the main causes of...

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Jovanović I, Zivković M, Jovanović J, et al. The co-inertia approach in identification of specific microRNA in early and advanced atherosclerosis plaque. Med Hypotheses. 2014;83(1):11-5doi: 10.1016/j.mehy.2014.04.019.
Jovanović, I., Zivković, M., Jovanović, J., Djurić, T., & Stanković, A. (2014). The co-inertia approach in identification of specific microRNA in early and advanced atherosclerosis plaque. Medical hypotheses, 83(1), 11-5. https://doi.org/10.1016/j.mehy.2014.04.019
Jovanović, Ivan, et al. "The co-inertia approach in identification of specific microRNA in early and advanced atherosclerosis plaque." Medical hypotheses vol. 83,1 (2014): 11-5. doi: https://doi.org/10.1016/j.mehy.2014.04.019
Jovanović I, Zivković M, Jovanović J, Djurić T, Stanković A. The co-inertia approach in identification of specific microRNA in early and advanced atherosclerosis plaque. Med Hypotheses. 2014 Jul;83(1):11-5. doi: 10.1016/j.mehy.2014.04.019. Epub 2014 Apr 23. PMID: 24815336.
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MicroRNAs in the atherosclerotic plaque.

Clinical chemistry

Raitoharju E, Oksala N, Lehtimäki T.
PMID: 23729638
Clin Chem. 2013 Dec;59(12):1708-21. doi: 10.1373/clinchem.2013.204917. Epub 2013 May 31.

BACKGROUND: MicroRNAs (miRNA, miR) are noncoding RNAs that regulate gene expression by hindering translation. miRNA expression profiles have been shown to differ in vivo and in vitro in many cellular processes associated with cardiovascular diseases (CVDs). The progression of...

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Raitoharju E, Oksala N, Lehtimäki T. MicroRNAs in the atherosclerotic plaque. Clin Chem. 2013;59(12):1708-21doi: 10.1373/clinchem.2013.204917.
Raitoharju, E., Oksala, N., & Lehtimäki, T. (2013). MicroRNAs in the atherosclerotic plaque. Clinical chemistry, 59(12), 1708-21. https://doi.org/10.1373/clinchem.2013.204917
Raitoharju, Emma, et al. "MicroRNAs in the atherosclerotic plaque." Clinical chemistry vol. 59,12 (2013): 1708-21. doi: https://doi.org/10.1373/clinchem.2013.204917
Raitoharju E, Oksala N, Lehtimäki T. MicroRNAs in the atherosclerotic plaque. Clin Chem. 2013 Dec;59(12):1708-21. doi: 10.1373/clinchem.2013.204917. Epub 2013 May 31. PMID: 23729638.
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Prediction of potential disease-associated microRNAs by composite network based inference.

Scientific reports

He BS, Qu J, Chen M.
PMID: 30361693
Sci Rep. 2018 Oct 25;8(1):15813. doi: 10.1038/s41598-018-34180-6.

MicroRNAs (miRNAs) act a significant role in multiple biological processes and their associations with the development of all kinds of complex diseases are much close. In the research area of biology, medicine, and bioinformatics, prediction of potential miRNA-disease associations...

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He BS, Qu J, Chen M. Prediction of potential disease-associated microRNAs by composite network based inference. Sci Rep. 2018;8(1):15813doi: 10.1038/s41598-018-34180-6.
He, B. S., Qu, J., & Chen, M. (2018). Prediction of potential disease-associated microRNAs by composite network based inference. Scientific reports, 8(1), 15813. https://doi.org/10.1038/s41598-018-34180-6
He, Bin-Sheng, et al. "Prediction of potential disease-associated microRNAs by composite network based inference." Scientific reports vol. 8,1 (2018): 15813. doi: https://doi.org/10.1038/s41598-018-34180-6
He BS, Qu J, Chen M. Prediction of potential disease-associated microRNAs by composite network based inference. Sci Rep. 2018 Oct 25;8(1):15813. doi: 10.1038/s41598-018-34180-6. PMID: 30361693; PMCID: PMC6202421.
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Micro RNAs: tiny sequences with enormous potential.

Biochemical and biophysical research communications

Shruti K, Shrey K, Vibha R.
PMID: 21419103
Biochem Biophys Res Commun. 2011 Apr 15;407(3):445-9. doi: 10.1016/j.bbrc.2011.03.058. Epub 2011 Mar 16.

MicroRNAs (miRNA) have emerged as critical player in the field of life sciences. These are endogenously expressed small non coding RNAs that function to control post-transcriptional gene expression. These small RNAs have been shown to regulate the cell growth,...

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Shruti K, Shrey K, Vibha R. Micro RNAs: tiny sequences with enormous potential. Biochem Biophys Res Commun. 2011;407(3):445-9doi: 10.1016/j.bbrc.2011.03.058.
Shruti, K., Shrey, K., & Vibha, R. (2011). Micro RNAs: tiny sequences with enormous potential. Biochemical and biophysical research communications, 407(3), 445-9. https://doi.org/10.1016/j.bbrc.2011.03.058
Shruti, K, et al. "Micro RNAs: tiny sequences with enormous potential." Biochemical and biophysical research communications vol. 407,3 (2011): 445-9. doi: https://doi.org/10.1016/j.bbrc.2011.03.058
Shruti K, Shrey K, Vibha R. Micro RNAs: tiny sequences with enormous potential. Biochem Biophys Res Commun. 2011 Apr 15;407(3):445-9. doi: 10.1016/j.bbrc.2011.03.058. Epub 2011 Mar 16. PMID: 21419103.
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RFSMMA: A New Computational Model to Identify and Prioritize Potential Small Molecule-MiRNA Associations.

Journal of chemical information and modeling

Wang CC, Chen X, Qu J, Sun YZ, Li JQ.
PMID: 30840454
J Chem Inf Model. 2019 Apr 22;59(4):1668-1679. doi: 10.1021/acs.jcim.9b00129. Epub 2019 Mar 15.

More and more studies found that many complex human diseases occur accompanied by aberrant expression of microRNAs (miRNAs). Small molecule (SM) drugs have been utilized to treat complex human diseases by affecting the expression of miRNAs. Several computational methods...

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Wang CC, Chen X, Qu J, et al. RFSMMA: A New Computational Model to Identify and Prioritize Potential Small Molecule-MiRNA Associations. J Chem Inf Model. 2019;59(4):1668-1679doi: 10.1021/acs.jcim.9b00129.
Wang, C. C., Chen, X., Qu, J., Sun, Y. Z., & Li, J. Q. (2019). RFSMMA: A New Computational Model to Identify and Prioritize Potential Small Molecule-MiRNA Associations. Journal of chemical information and modeling, 59(4), 1668-1679. https://doi.org/10.1021/acs.jcim.9b00129
Wang, Chun-Chun, et al. "RFSMMA: A New Computational Model to Identify and Prioritize Potential Small Molecule-MiRNA Associations." Journal of chemical information and modeling vol. 59,4 (2019): 1668-1679. doi: https://doi.org/10.1021/acs.jcim.9b00129
Wang CC, Chen X, Qu J, Sun YZ, Li JQ. RFSMMA: A New Computational Model to Identify and Prioritize Potential Small Molecule-MiRNA Associations. J Chem Inf Model. 2019 Apr 22;59(4):1668-1679. doi: 10.1021/acs.jcim.9b00129. Epub 2019 Mar 15. PMID: 30840454.
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miR-146a and miR-146b predict increased restenosis and rapid angiographic stenotic progression risk in coronary heart disease patients who underwent percutaneous coronary intervention.

Irish journal of medical science

Zhang H, Zhang Q, Liu Y, Xue T.
PMID: 31680203
Ir J Med Sci. 2020 May;189(2):467-474. doi: 10.1007/s11845-019-02101-9. Epub 2019 Nov 03.

OBJECTIVE: This study aimed to investigate the potential of microRNA (miR)-146a and miR-146b for predicting restenosis and rapid angiographic stenotic progression (RASP) risk in coronary heart disease (CHD) patients who underwent percutaneous coronary intervention (PCI) with drug-eluting stent (DES)...

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Zhang H, Zhang Q, Liu Y, et al. miR-146a and miR-146b predict increased restenosis and rapid angiographic stenotic progression risk in coronary heart disease patients who underwent percutaneous coronary intervention. Ir J Med Sci. 2019;189(2):467-474doi: 10.1007/s11845-019-02101-9.
Zhang, H., Zhang, Q., Liu, Y., & Xue, T. (2020). miR-146a and miR-146b predict increased restenosis and rapid angiographic stenotic progression risk in coronary heart disease patients who underwent percutaneous coronary intervention. Irish journal of medical science, 189(2), 467-474. https://doi.org/10.1007/s11845-019-02101-9
Zhang, Huayong, et al. "miR-146a and miR-146b predict increased restenosis and rapid angiographic stenotic progression risk in coronary heart disease patients who underwent percutaneous coronary intervention." Irish journal of medical science vol. 189,2 (2020): 467-474. doi: https://doi.org/10.1007/s11845-019-02101-9
Zhang H, Zhang Q, Liu Y, Xue T. miR-146a and miR-146b predict increased restenosis and rapid angiographic stenotic progression risk in coronary heart disease patients who underwent percutaneous coronary intervention. Ir J Med Sci. 2020 May;189(2):467-474. doi: 10.1007/s11845-019-02101-9. Epub 2019 Nov 03. PMID: 31680203.
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Prognostic significance of microRNA miR-24 in cancers: a meta-analysis.

Bioengineered

Liu R, Kong W, Zheng S, Yu C, Yu Y, Xu Y, Ye L, Shao Y.
PMID: 33550881
Bioengineered. 2021 Dec;12(1):450-460. doi: 10.1080/21655979.2021.1875662.

The prognostic significance of miR-24 in tumors has not been determined. Therefore, we conducted a meta-analysis to systematically assess the correlation between miR-24 and its prognostic value in cancers PubMed, EMBASE, and Web of Science databases were used to...

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Liu R, Kong W, Zheng S, et al. Prognostic significance of microRNA miR-24 in cancers: a meta-analysis. Bioengineered. 2021;12(1):450-460doi: 10.1080/21655979.2021.1875662.
Liu, R., Kong, W., Zheng, S., Yu, C., Yu, Y., Xu, Y., Ye, L., & Shao, Y. (2021). Prognostic significance of microRNA miR-24 in cancers: a meta-analysis. Bioengineered, 12(1), 450-460. https://doi.org/10.1080/21655979.2021.1875662
Liu, Rongqiang, et al. "Prognostic significance of microRNA miR-24 in cancers: a meta-analysis." Bioengineered vol. 12,1 (2021): 450-460. doi: https://doi.org/10.1080/21655979.2021.1875662
Liu R, Kong W, Zheng S, Yu C, Yu Y, Xu Y, Ye L, Shao Y. Prognostic significance of microRNA miR-24 in cancers: a meta-analysis. Bioengineered. 2021 Dec;12(1):450-460. doi: 10.1080/21655979.2021.1875662. PMID: 33550881; PMCID: PMC8291878.
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Expression and Metabolomic Profiling in Axial Spondyloarthritis.

Current rheumatology reports

O'Rielly DD, Zhai G, Rahman P.
PMID: 29951774
Curr Rheumatol Rep. 2018 Jun 27;20(8):51. doi: 10.1007/s11926-018-0756-y.

PURPOSE OF REVIEW: The purpose of this review is to highlight recent evidence with respect to expression and metabolomic profiling in axial spondyloarthritis (axSpA) that included ankylosing spondylitis (AS).RECENT FINDINGS: AxSpA is not only characterized by the strongest genetic...

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O'Rielly DD, Zhai G, Rahman P. Expression and Metabolomic Profiling in Axial Spondyloarthritis. Curr Rheumatol Rep. 2018;20(8):51doi: 10.1007/s11926-018-0756-y.
O'Rielly, D. D., Zhai, G., & Rahman, P. (2018). Expression and Metabolomic Profiling in Axial Spondyloarthritis. Current rheumatology reports, 20(8), 51. https://doi.org/10.1007/s11926-018-0756-y
O'Rielly, Darren D, et al. "Expression and Metabolomic Profiling in Axial Spondyloarthritis." Current rheumatology reports vol. 20,8 (2018): 51. doi: https://doi.org/10.1007/s11926-018-0756-y
O'Rielly DD, Zhai G, Rahman P. Expression and Metabolomic Profiling in Axial Spondyloarthritis. Curr Rheumatol Rep. 2018 Jun 27;20(8):51. doi: 10.1007/s11926-018-0756-y. PMID: 29951774.
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Exosomal miRNAs in tumor microenvironment.

Journal of experimental & clinical cancer research : CR

Tan S, Xia L, Yi P, Han Y, Tang L, Pan Q, Tian Y, Rao S, Oyang L, Liang J, Lin J, Su M, Shi Y, Cao D, Zhou Y, Liao Q.
PMID: 32299469
J Exp Clin Cancer Res. 2020 Apr 16;39(1):67. doi: 10.1186/s13046-020-01570-6.

Tumor microenvironment (TME) is the internal environment in which tumor cells survive, consisting of tumor cells, fibroblasts, endothelial cells, and immune cells, as well as non-cellular components, such as exosomes and cytokines. Exosomes are tiny extracellular vesicles (40-160nm) containing...

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Tan S, Xia L, Yi P, et al. Exosomal miRNAs in tumor microenvironment. J Exp Clin Cancer Res. 2020;39(1):67doi: 10.1186/s13046-020-01570-6.
Tan, S., Xia, L., Yi, P., Han, Y., Tang, L., Pan, Q., Tian, Y., Rao, S., Oyang, L., Liang, J., Lin, J., Su, M., Shi, Y., Cao, D., Zhou, Y., & Liao, Q. (2020). Exosomal miRNAs in tumor microenvironment. Journal of experimental & clinical cancer research : CR, 39(1), 67. https://doi.org/10.1186/s13046-020-01570-6
Tan, Shiming, et al. "Exosomal miRNAs in tumor microenvironment." Journal of experimental & clinical cancer research : CR vol. 39,1 (2020): 67. doi: https://doi.org/10.1186/s13046-020-01570-6
Tan S, Xia L, Yi P, Han Y, Tang L, Pan Q, Tian Y, Rao S, Oyang L, Liang J, Lin J, Su M, Shi Y, Cao D, Zhou Y, Liao Q. Exosomal miRNAs in tumor microenvironment. J Exp Clin Cancer Res. 2020 Apr 16;39(1):67. doi: 10.1186/s13046-020-01570-6. PMID: 32299469; PMCID: PMC7164281.
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Integrated Strategy Improves the Prediction Accuracy of miRNA in Large Dataset.

PloS one

Xue B, Lipps D, Devineni S.
PMID: 28002428
PLoS One. 2016 Dec 21;11(12):e0168392. doi: 10.1371/journal.pone.0168392. eCollection 2016.

MiRNAs are short non-coding RNAs of about 22 nucleotides, which play critical roles in gene expression regulation. The biogenesis of miRNAs is largely determined by the sequence and structural features of their parental RNA molecules. Based on these features,...

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Xue B, Lipps D, Devineni S. Integrated Strategy Improves the Prediction Accuracy of miRNA in Large Dataset. PLoS One. 2016;11(12):e0168392doi: 10.1371/journal.pone.0168392.
Xue, B., Lipps, D., & Devineni, S. (2016). Integrated Strategy Improves the Prediction Accuracy of miRNA in Large Dataset. PloS one, 11(12), e0168392. https://doi.org/10.1371/journal.pone.0168392
Xue, Bin, et al. "Integrated Strategy Improves the Prediction Accuracy of miRNA in Large Dataset." PloS one vol. 11,12 (2016): e0168392. doi: https://doi.org/10.1371/journal.pone.0168392
Xue B, Lipps D, Devineni S. Integrated Strategy Improves the Prediction Accuracy of miRNA in Large Dataset. PLoS One. 2016 Dec 21;11(12):e0168392. doi: 10.1371/journal.pone.0168392. eCollection 2016. PMID: 28002428; PMCID: PMC5176297.
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New insights into molecular mechanisms of epigenetic regulation in kidney disease.

Clinical and experimental pharmacology & physiology

Mimura I, Tanaka T, Nangaku M.
PMID: 27560313
Clin Exp Pharmacol Physiol. 2016 Dec;43(12):1159-1167. doi: 10.1111/1440-1681.12663.

The number of patients with kidney failure has increased in recent years. Different factors contribute to the progression of chronic kidney disease, including glomerular sclerosis, atherosclerosis of the renal arteries and tubulointerstitial fibrosis. Tubulointerstitial injury is induced by hypoxia...

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Mimura I, Tanaka T, Nangaku M. New insights into molecular mechanisms of epigenetic regulation in kidney disease. Clin Exp Pharmacol Physiol. 2016;43(12):1159-1167doi: 10.1111/1440-1681.12663.
Mimura, I., Tanaka, T., & Nangaku, M. (2016). New insights into molecular mechanisms of epigenetic regulation in kidney disease. Clinical and experimental pharmacology & physiology, 43(12), 1159-1167. https://doi.org/10.1111/1440-1681.12663
Mimura, Imari, et al. "New insights into molecular mechanisms of epigenetic regulation in kidney disease." Clinical and experimental pharmacology & physiology vol. 43,12 (2016): 1159-1167. doi: https://doi.org/10.1111/1440-1681.12663
Mimura I, Tanaka T, Nangaku M. New insights into molecular mechanisms of epigenetic regulation in kidney disease. Clin Exp Pharmacol Physiol. 2016 Dec;43(12):1159-1167. doi: 10.1111/1440-1681.12663. PMID: 27560313.
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Showing 1 to 12 of 63 entries