The role of genomics and proteomics: technologies in studying non-alcoholic fatty liver disease.

[1]  G. Siuzdak,et al.  Matrix‐Assisted Laser Desorption/Ionization Mass Spectrometry in Peptide and Protein Analysis , 2006 .

[2]  A. Lisitsa,et al.  Characterization of human liver cytochromes P450 by combining the biochemical and proteomic approaches. , 2006, Toxicology in vitro : an international journal published in association with BIBRA.

[3]  E. Gallagher,et al.  Several glutathione S-transferase isozymes that protect against oxidative injury are expressed in human liver mitochondria. , 2006, Biochemical pharmacology.

[4]  M. Nijland,et al.  Gene expression profile differences in left and right liver lobes from mid‐gestation fetal baboons: a cautionary tale , 2006, The Journal of physiology.

[5]  Fuchu He,et al.  The Human Liver Proteome Project (HLPP) Workshop during the 4th HUPO World Congress , 2006, Proteomics.

[6]  Yudi Pawitan,et al.  Multidimensional local false discovery rate for microarray studies , 2006, Bioinform..

[7]  Z. Szallasi,et al.  Reliability and reproducibility issues in DNA microarray measurements. , 2006, Trends in genetics : TIG.

[8]  Emanuel F Petricoin,et al.  Nanoparticles: potential biomarker harvesters. , 2006, Current opinion in chemical biology.

[9]  E. Petricoin,et al.  The amplified peptidome: the new treasure chest of candidate biomarkers. , 2006, Current opinion in chemical biology.

[10]  S. Dudoit,et al.  Exploration of global gene expression in human liver steatosis by high-density oligonucleotide microarray , 2006, Laboratory Investigation.

[11]  C. Kahn,et al.  Analysis of gene expression in pathophysiological states: balancing false discovery and false negative rates. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[12]  Karen Schlauch,et al.  Microarray technology in the study of obesity and non‐alcoholic fatty liver disease , 2005, Liver international : official journal of the International Association for the Study of the Liver.

[13]  A. Baranova,et al.  A genomic and proteomic study of the spectrum of nonalcoholic fatty liver disease , 2005, Hepatology.

[14]  Z. Goodman,et al.  Hepatic gene expression in patients with obesity‐related non‐alcoholic steatohepatitis , 2005, Liver international : official journal of the International Association for the Study of the Liver.

[15]  Robert R. Delongchamp,et al.  Genome-wide estimation of gender differences in the gene expression of human livers: Statistical design and analysis , 2005, BMC Bioinformatics.

[16]  Clement Chung,et al.  Human tissue profiling with multidimensional protein identification technology. , 2005, Journal of proteome research.

[17]  E. Petricoin,et al.  Reverse-phase protein microarrays for tissue-based analysis. , 2005, Current opinion in molecular therapeutics.

[18]  T. Colgan,et al.  A strategy for high‐resolution protein identification in surface‐enhanced laser desorption/ionization mass spectrometry: Calgranulin A and chaperonin 10 as protein markers for endometrial carcinoma , 2005, Proteomics.

[19]  Richard D. Smith,et al.  Proteomics by FTICR mass spectrometry: top down and bottom up. , 2005, Mass spectrometry reviews.

[20]  Jeffrey S. Morris,et al.  Signal in noise: evaluating reported reproducibility of serum proteomic tests for ovarian cancer. , 2005, Journal of the National Cancer Institute.

[21]  Jeffrey S. Morris,et al.  The importance of experimental design in proteomic mass spectrometry experiments: some cautionary tales. , 2005, Briefings in functional genomics & proteomics.

[22]  Dieter Stoll,et al.  Protein microarrays: catching the proteome , 2005, Mechanisms of Ageing and Development.

[23]  J. Ji,et al.  Molecular profiling of hepatocellular carcinomas by cDNA microarray. , 2005, World Journal of Gastroenterology.

[24]  Walter S. Liggett,et al.  Measurement Reproducibility in the Early Stages of Biomarker Development , 2005, Disease markers.

[25]  Hui Cheng,et al.  Biomedical informatics: development of a comprehensive data warehouse for clinical and genomic breast cancer research. , 2004, Pharmacogenomics.

[26]  H. Inskip,et al.  Fetal Liver-Sparing Cardiovascular Adaptations Linked to Mother’s Slimness and Diet , 2004, Circulation research.

[27]  M. Hanson,et al.  Portal and umbilical venous blood supply to the liver in the human fetus near term , 2004, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

[28]  V. Thorsson,et al.  Integrated Genomic and Proteomic Analyses of Gene Expression in Mammalian Cells*S , 2004, Molecular & Cellular Proteomics.

[29]  C. Schaefer,et al.  Analysis of the human serum proteome , 2004, Clinical Proteomics.

[30]  J. Rinn,et al.  Major molecular differences between mammalian sexes are involved in drug metabolism and renal function. , 2004, Developmental cell.

[31]  Angela J Harris,et al.  Comparison of basal gene expression profiles and effects of hepatocarcinogens on gene expression in cultured primary human hepatocytes and HepG2 cells. , 2004, Mutation research.

[32]  X. Wang,et al.  Cancer‐associated molecular signature in the tissue samples of patients with cirrhosis , 2004, Hepatology.

[33]  M. Katze,et al.  Hepatitis C virus and liver disease: Global transcriptional profiling and identification of potential markers , 2003, Hepatology.

[34]  Virginia Espina,et al.  Protein microarrays: Molecular profiling technologies for clinical specimens , 2003, Proteomics.

[35]  M. Charlton,et al.  Hepatic gene expression in histologically progressive nonalcoholic steatohepatitis , 2003, Hepatology.

[36]  N. Pfeiffer,et al.  Analysis of complex autoantibody repertoires by surface‐enhanced laser desorption/ionization‐time of flight mass spectrometry , 2003, Proteomics.

[37]  E. Petricoin,et al.  Early detection: Proteomic applications for the early detection of cancer , 2003, Nature Reviews Cancer.

[38]  J. Bodeau,et al.  Assessing gene expression variation in normal human tissues using GeneTag, a novel, global, sensitive profiling method. , 2003, Journal of biotechnology.

[39]  S. Kaneko,et al.  Clinical application of a DNA chip in the field of liver diseases. , 2003, Journal of gastroenterology.

[40]  J. Ruijter,et al.  Statistical evaluation of SAGE libraries: consequences for experimental design. , 2002, Physiological genomics.

[41]  David E. Misek,et al.  Discordant Protein and mRNA Expression in Lung Adenocarcinomas * , 2002, Molecular & Cellular Proteomics.

[42]  M. Endoh,et al.  Profiling the adult human liver transcriptome: analysis by cDNA array hybridization. , 2001, Journal of hepatology.

[43]  A. Ryo,et al.  Use of serial analysis of gene expression (SAGE) technology. , 2001, Journal of immunological methods.

[44]  L. Liotta,et al.  Laser Capture Microdissection , 2001, Current protocols in cell biology.

[45]  Kenichi Kobayashi,et al.  Serial analysis of gene expression in chronic hepatitis C and hepatocellular carcinoma. , 2001, Biochemical and biophysical research communications.

[46]  J. Yates,et al.  Large-scale analysis of the yeast proteome by multidimensional protein identification technology , 2001, Nature Biotechnology.

[47]  Wayne F. Patton,et al.  Background‐free, high sensitivity staining of proteins in one‐ and two‐dimensional sodium dodecyl sulfate‐polyacrylamide gels using a luminescent ruthenium complex , 2000, Electrophoresis.

[48]  K. Matsushima,et al.  Comprehensive gene expression profile of a normal human liver. , 2000, Biochemical and biophysical research communications.

[49]  M. Bronchud Principles of Molecular Oncology , 2000, Humana Press.

[50]  T. Yip,et al.  Protein interactions with immobilized transition metal ions: quantitative evaluations of variations in affinity and binding capacity. , 1990, Analytical biochemistry.

[51]  Matthew E Monroe,et al.  Probability-based evaluation of peptide and protein identifications from tandem mass spectrometry and SEQUEST analysis: the human proteome. , 2005, Journal of proteome research.

[52]  Arpad Kelemen,et al.  Associating phenotypes with molecular events: recent statistical advances and challenges underpinning microarray experiments , 2005, Functional & Integrative Genomics.

[53]  Jules J. Berman,et al.  Nomenclature-based data retrieval without prior annotation: facilitating biomedical data integration with fast doublet matching , 2005, Silico Biol..

[54]  D. Pappin,et al.  The potential use of laser capture microdissection to selectively obtain distinct populations of cells for proteomic analysis — Preliminary findings , 1999, Electrophoresis.