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| 1 | Gene expression profiling of MYC-driven tumor signatures in porcine liver stem cells by transcriptome sequencing显示文摘AIM:To identify the genes induced and regulated by the MYC protein in generating tumors from liver stem cells.METHODS:In this study,we have used an immortal porcine liver stem cell line,PICM-19,to study the role of c-MYC in hepatocarcinogenesis.PICM-19 cells were converted into cancer cells(PICM-19-CSCs)by overexpressing human MYC.To identify MYC-driven differential gene expression,transcriptome sequencing was carried out by RNA sequencing,and genes identified by this method were validated using real-time PCR.In vivo tumorigenicity studies were then conducted by injecting PICM-19-CSCs into the flanks of immunodeficient mice.RESULTS:Our results showed that MYC-overexpressing PICM-19 stem cells formed tumors in immunodeficient mice demonstrating that a single oncogene was sufficient to convert them into cancer cells(PICM-19-CSCs).By using comparative bioinformatics analyses,we have determined that>1000 genes were differentially expressed between PICM-19 and PICM-19-CSCs.Gene ontology analysis further showed that the MYCinduced,altered gene expression was primarily associated with various cellular processes,such as metabolism,cell adhesion,growth and proliferation,cell cycle,inflammation and tumorigenesis.Interestingly,six genes expressed by PICM-19 cells(CDO1,C22orf39,DKK2,ENPEP,GPX6,SRPX2)were completely silenced after MYC-induction in PICM-19-CSCs,suggesting that the absence of these genes may be critical for inducingtumorigenesis.CONCLUSION:MYC-driven genes may serve as promising candidates for the development of hepatocellular carcinoma therapeutics that would not have deleterious effects on other cell types in the liver. | Rajagopal N Aravalli Neil C Talbot Clifford J Steer | 2015 | World Journal of Gastroenterology2015，21，7： | 3 |
| 2 | A Magnaporthe grisea cyclophilin acts as a virulence determinant during plant infection显示文摘 | VIAUD M C BALHDERE P V TALBOT N J | 2002 | The Plant Cell2002，14，： | 1 |
| 3 | Fast exact leave-one-out Cross- Validation of sparse least-squares support vector machines显示文摘 | CAWLEY G C TALBOT N L | 2004 | Neural Networks2004，17，： | 1 |
| 4 | Autophagic fungal cell death is necessary for infection by the rice blast fungus显示文摘 | Veneault-Fourrey C Barooah M Egan M Wakley G Talbot N J | 2006 | Science2006，312，： | 1 |
| 5 | Fast exact leave-one-out cross-validation of sparse least-squares support vector machines显示文摘 | G C Cawley N L C Talbot | 2004 | Neural Networks2004，17，10： | 1 |
| 6 | Preventing over - fitting during model selection via Bayesian regularisation of the hyper-parameters 显示文摘 | CAWLEY G C TALBOT N L C | 2007 | Journal of Machine Learning Research2007，8，： | 1 |
| 7 | Preventing over-fitting during model selection via Bayesian regnlarisation of the hyper-parameters显示文摘 | CAWLEY G C and TALBOT N L C | 2007 | Journal of Machine Learning Research2007，8，4： | 1 |
| 8 | Therapeutic manipulation of the HIF hydroxylases显示文摘 | Nagel S Talbot N P Mecinovió J Smith T G Buchan A M Schofield C J | 2010 | Antioxid Redox Signal2010，12，： | 1 |
| 9 | The evidence framework applied to sparse kernel logistic regression显示文摘 | Cawley G C Talbot N L C | 2005 | Neurocomputing2005，64，： | 1 |
| 10 | Feeder-independent continuous culture of the PICM-19 pig liver stem cell line显示文摘 | Talbot N C Blomberget A | | 0，，09： | 1 |
| 11 | Improved sparse least square support vector machines 显示文摘 | Cawley C C Talbot N L C | 2002 | Nerocomputing2002，，48： | 1 |
| 12 | Gene selection in cancer classification using sparse logistic regression with Bayesian regularization显示文摘 | Cawley G C Talbot N L C | 2006 | Bioin-formatics2006，22，19： | 1 |
| 13 | Preventing over-fitting during model selection via Bayesian regularization of the hyper-parameters显示文摘 | Cawley G C Talbot N L C | 2007 | Journal of Machine Learning Research2007，8，4： | 1 |
| 14 | Autophagic cell death and its importance for fungal developmental biology and pathogenesis显示文摘 | Veneault-Fourrey C Talbot N J | 2007 | Autophagy2007，3，2： | 1 |
| 15 | Initiation of salt diapirs with frictional overburdens: numerical experiments 显示文摘 | Poliakov A N Podladchikov Y Talbot C | 1993 | Tcctonophysics1993，228，34： | 1 |
| 16 | Numerical models of complex diapirs显示文摘 | Podladchikov Y Talbot C Poliakov A N | 1993 | Tectonophysics1993，228，34： | 1 |
| 17 | Com parison of colony-formation efficiency of bovine fetal fi broblast cell lines cultured with low oxygen, hydroeorti sone, 1-carnosine, bFGF, or different levels of FBS 显示文摘 | TALBOT N C POWELL A M CAPERNA T J | 2004 | Cloning Stem Cell2004，6，1： | 1 |
| 18 | Preventing over-fitting in model selection via Bayesian regularisation ofthe hyper-parameters显示文摘 | CAWLEY G C TALBOT N L C | 2007 | Journal of Machine Learn-ing Research2007，8，： | 1 |
| 19 | Gene selection in cancer classification using sparse logistic regression with Bayesian regularization显示文摘 | CAWLEY G C TALBOT N L C | 2006 | Bioinformatics2006，22，19： | 1 |
| 20 | Improved sparse least-squares support vector machines 显示文摘 | CAWLEY G C TALBOT N L C | 2002 | Neurocomputing2002，48，： | 1 |
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