Integrated bioinformatics analysis of microRNA expression profiles for an in-depth understanding of pathogenic mechanisms in non-alcoholic fatty liver disease

Journal of Gastroenterology and Hepatology (Australia)

Volumn 27, Issue 2, 2012, Pages 187-188

  Masotti, Andrea ^a   Alisi, Anna ^a  

^a BAMBINO GESÙ CHILDREN S HOSPITAL   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

MICRORNA;

BIOINFORMATICS; CELL FUNCTION; EDITORIAL; GENE CONTROL; GENE EXPRESSION; GENE EXPRESSION PROFILING; HUMAN; MICROARRAY ANALYSIS; NONALCOHOLIC FATTY LIVER; PANCREAS CANCER; PRIORITY JOURNAL; REAL TIME POLYMERASE CHAIN REACTION; RNA DEGRADATION; STEATOSIS;

EID: 84856165979     PISSN: 08159319     EISSN: 14401746     Source Type: Journal    
DOI: 10.1111/j.1440-1746.2011.07032.x     Document Type: Editorial

References (16)

1. Brunt EM. Pathology of nonalcoholic fatty liver disease. Nat. Rev. Gastroenterol. Hepatol. 2010; 7: 195-203.
2. Cohen JC, Horton JD, Hobbs HH. Human fatty liver disease: old questions and new insights. Science 2011; 332: 1519-23.
3. Wilfred de Alwis NM, Day CP. Genes and nonalcoholic fatty liver disease. Curr. Diab. Rep. 2008; 8: 156-63.
4. Baranova A, Liotta L, Petricoin E, Younossi ZM. The role of genomics and proteomics: technologies in studying non-alcoholic fatty liver disease. Clin. Liver Dis. 2007; 11: 209-20, xi.
5. Masotti A, Da Sacco L, Bottazzo GF, Alisi A. Microarray technology: a promising tool in nutrigenomics. Crit. Rev. Food Sci. Nutr. 2010; 50: 693-8.
6. Alisi A, Masotti A, Nobili V. Profiling microRNA expression: a snapshot of nonalcoholic steatohepatitis and a recording of its pathogenesis. Hepatology 2009; 49: 706-7.
7. Alisi A, Da Sacco L, Bruscalupi G etal. Mirnome analysis reveals novel molecular determinants in the pathogenesis of diet-induced nonalcoholic fatty liver disease. Lab. Invest. 2011; 91: 283-93.
8. Cheung O, Sanyal AJ. Role of microRNAs in non-alcoholic steatohepatitis. Curr. Pharm. Des. 2010; 16: 1952-7.
9. Kerr TA, Korenblat KM, Davidson NO. MicroRNAs and liver disease. Transl. Res. 2011; 157: 241-52.
10. Lee RC, Feinbaum RL, Ambros V. The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14. Cell 1993; 75: 843-54.
11. Barbato C, Arisi I, Frizzo ME, Brandi R, Da Sacco L, Masotti A. Computational challenges in miRNA target predictions: to be or not to be a true target? J. Biomed. Biotechnol. 2009; 2009:803069: 1-9.
12. Jin X, Chen YP, Kong M, Zheng L, Yang YD, Li YM. Transition from hepatic steatosis to steatohepatitis: Unique microRNA patterns and potential downstream functions and pathways. J. Gastroenterol. Hepatol. 2012; 27: 331-40.
13. Brazma A, Hingamp P, Quackenbush J etal. Minimum information about a microarray experiment (MIAME)-toward standards for microarray data. Nat. Genet. 2001; 29: 365-71.
14. Bustin SA, Benes V, Garson JA etal. The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments. Clin. Chem. 2009; 55: 611-22.
15. Hashimi ST, Fulcher JA, Chang MH, Gov L, Wang S, Lee B. MicroRNA profiling identifies miR-34a and miR-21 and their target genes JAG1 and WNT1 in the coordinate regulation of dendritic cell differentiation. Blood 2009; 114: 404-14.
16. Huang DW, Sherman BT, Lempicki RA. Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists. Nucleic Acids Res. 2009; 37: 1-13.