MiR-93-5p Promotes Cell Proliferation through Down-Regulating PPARGC1A in Hepatocellular Carcinoma Cells by Bioinformatics Analysis and Experimental Verification
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Leyi Wei | Zhijun Liao | Zhimin Bai | Leyi Wei | Zhimin Bai | Z. Liao | Xinrui Wang | Xinrui Wang | Yan He | Juan Duan | J. Duan | Yan He
[1] Quan Zou,et al. Computational Identification of MicroRNAs and Their Targets in Perennial Ryegrass (Lolium perenne) , 2014, Applied Biochemistry and Biotechnology.
[2] Yong Huang,et al. In Silico Prediction of Gamma-Aminobutyric Acid Type-A Receptors Using Novel Machine-Learning-Based SVM and GBDT Approaches , 2016, BioMed research international.
[3] Quan Zou,et al. Briefing in family characteristics of microRNAs and their applications in cancer research. , 2014, Biochimica et biophysica acta.
[4] Q. Zou,et al. Prediction and Identification of Krüppel-Like Transcription Factors by Machine Learning Method. , 2017, Combinatorial chemistry & high throughput screening.
[5] J. Minna,et al. miR-93-directed down-regulation of DAB2 defines a novel oncogenic pathway in lung cancer , 2013, Oncogene.
[6] Xiangxiang Zeng,et al. Integrative approaches for predicting microRNA function and prioritizing disease-related microRNA using biological interaction networks , 2016, Briefings Bioinform..
[7] P. Metrakos,et al. (18)F-Fluorodeoxyglucose positron-emission tomography could have a prognostic role in patients with advanced hepatocellular carcinoma. , 2014, Current oncology.
[8] Meili Fu,et al. Activation of mPTP-dependent mitochondrial apoptosis pathway by a novel pan HDAC inhibitor resminostat in hepatocellular carcinoma cells. , 2016, Biochemical and biophysical research communications.
[9] Quan Zou,et al. Identification of DEP domain-containing proteins by a machine learning method and experimental analysis of their expression in human HCC tissues , 2016, Scientific Reports.
[10] Junji Furuse,et al. The incidence and epidemiology of hepatocellular carcinoma: a global and regional perspective. , 2010, The oncologist.
[11] Z. Derdák,et al. Obesity-associated mechanisms of hepatocarcinogenesis. , 2014, Metabolism: clinical and experimental.
[12] C. Croce,et al. MicroRNAs in Cancer. , 2009, Annual review of medicine.
[13] P. Puigserver,et al. Peroxisome proliferator-activated receptor-gamma coactivator 1 alpha (PGC-1 alpha): transcriptional coactivator and metabolic regulator. , 2003, Endocrine reviews.
[14] Thomas Thurnherr,et al. Differentially Expressed miRNAs in Hepatocellular Carcinoma Target Genes in the Genetic Information Processing and Metabolism Pathways , 2016, Scientific Reports.
[15] C. Croce,et al. SnapShot: MicroRNAs in Cancer , 2009, Cell.
[16] Limin Jiang,et al. BP Neural Network Could Help Improve Pre-miRNA Identification in Various Species , 2016, BioMed research international.
[17] Q. Zou,et al. Similarity computation strategies in the microRNA-disease network: a survey. , 2015, Briefings in functional genomics.
[18] Patrick J. Paddison,et al. Causal Mechanistic Regulatory Network for Glioblastoma Deciphered Using Systems Genetics Network Analysis. , 2016, Cell systems.
[19] Q. Zou,et al. Construction and Identification of the RNAi Recombinant Lentiviral Vector Targeting Human DEPDC7 Gene , 2016, Interdisciplinary Sciences: Computational Life Sciences.
[20] R. Kim,et al. Role of Systemic Therapy and Future Directions for Hepatocellular Carcinoma , 2017, Cancer control : journal of the Moffitt Cancer Center.
[21] Tingming Liang,et al. miR-isomiRExp: a web-server for the analysis of expression of miRNA at the miRNA/isomiR levels , 2016, Scientific Reports.
[22] W. Guo,et al. MiR‐93‐5p inhibits the EMT of breast cancer cells via targeting MKL‐1 and STAT3 , 2017, Experimental cell research.
[23] C. Lindskog. The Human Protein Atlas – an important resource for basic and clinical research , 2016, Expert review of proteomics.
[24] Libing Song,et al. miR-93 Promotes Cell Proliferation in Gliomas through Activation of PI 3 K / Akt Signaling Pathway , 2015 .
[25] Quan Zou,et al. Identification of MicroRNA Genes and their mRNA Targets in Festuca arundinacea , 2014, Applied Biochemistry and Biotechnology.
[26] G. Reynolds,et al. Development of hepatocellular carcinoma in a murine model of nonalcoholic steatohepatitis induced by use of a high-fat/fructose diet and sedentary lifestyle. , 2014, The American journal of pathology.
[27] Xiangxiang Zeng,et al. Inferring MicroRNA-Disease Associations by Random Walk on a Heterogeneous Network with Multiple Data Sources , 2017, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[28] M. Tan,et al. The Warburg effect in tumor progression: mitochondrial oxidative metabolism as an anti-metastasis mechanism. , 2015, Cancer letters.
[29] Lingling Zhu,et al. MiR-93-5p promotes gastric cancer-cell progression via inactivation of the Hippo signaling pathway. , 2018, Gene.
[30] Ting Wang,et al. Exploring long-range genome interactions using the WashU Epigenome Browser , 2013, Nature Methods.
[31] K. Zen,et al. Peroxisome proliferator-activated receptor gamma coactivator-1 alpha acts as a tumor suppressor in hepatocellular carcinoma , 2017, Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine.
[32] T. Takayama. Surgical treatment for hepatocellular carcinoma. , 2011, Japanese journal of clinical oncology.
[33] Quan Zou,et al. Which statistical significance test best detects oncomiRNAs in cancer tissues? An exploratory analysis , 2016, Oncotarget.
[34] Michael Snyder,et al. A highly integrated and complex PPARGC1A transcription factor binding network in HepG2 cells , 2012, Genome research.
[35] Ming-Hua Zheng,et al. Hepatocellular carcinoma associated microRNA expression signature: integrated bioinformatics analysis, experimental validation and clinical significance , 2015, Oncotarget.
[36] S. Ohta,et al. Molecular hydrogen stimulates the gene expression of transcriptional coactivator PGC-1α to enhance fatty acid metabolism , 2016, npj Aging and Mechanisms of Disease.
[37] E. Riboli,et al. Prospective association of liver function biomarkers with development of hepatobiliary cancers. , 2016, Cancer epidemiology.
[38] Jinhua Wang,et al. MicroRNA-93 activates c-Met/PI3K/Akt pathway activity in hepatocellular carcinoma by directly inhibiting PTEN and CDKN1A , 2014, Oncotarget.
[39] Jiandie D. Lin,et al. Defects in Adaptive Energy Metabolism with CNS-Linked Hyperactivity in PGC-1α Null Mice , 2004, Cell.
[40] Huanming Yang,et al. The Symbiodinium kawagutii genome illuminates dinoflagellate gene expression and coral symbiosis , 2015, Science.
[41] Q. Guo,et al. Comprehensive analysis of lncRNA-mRNA co-expression patterns identifies immune-associated lncRNA biomarkers in ovarian cancer malignant progression , 2015, Scientific Reports.
[42] Q. Zou,et al. Prediction of MicroRNA-Disease Associations Based on Social Network Analysis Methods , 2015, BioMed research international.
[43] F. Marincola,et al. TGFβR2 is a major target of miR-93 in nasopharyngeal carcinoma aggressiveness , 2014, Molecular Cancer.
[44] Tingming Liang,et al. A Comprehensive Analysis of miRNA/isomiR Expression with Gender Difference , 2016, PloS one.
[45] Lingling Hu,et al. miRClassify: An advanced web server for miRNA family classification and annotation , 2014, Comput. Biol. Medicine.