Literature DB >> 24449428

Systems biology for hepatologists.

José M Mato1, M Luz Martínez-Chantar, Shelly C Lu.   

Abstract

Medicine is expected to benefit from combining usual cellular and molecular studies with high-throughput methods (genomics, transcriptomics, proteomics, and metabolomics). These methods, collectively known as omics, permit the determination of thousands of molecules (variations within genes, RNAs, proteins, metabolites) within a tissue, cell, or biological fluid. The use of these methods is very demanding in terms of the design of the study, acquisition, storage, analysis, and interpretation of the data. When carried out properly, these studies can reveal new etiological pathways, help to identify patients at risk for disease, and predict the response to specific treatments. Here we review these omics methods and mention several applications in hepatology research.
© 2014 by the American Association for the Study of Liver Diseases.

Entities:  

Mesh:

Year:  2014        PMID: 24449428      PMCID: PMC4105331          DOI: 10.1002/hep.27023

Source DB:  PubMed          Journal:  Hepatology        ISSN: 0270-9139            Impact factor:   17.425


  48 in total

Review 1.  Exploring expression data: identification and analysis of coexpressed genes.

Authors:  L J Heyer; S Kruglyak; S Yooseph
Journal:  Genome Res       Date:  1999-11       Impact factor: 9.043

Review 2.  It is all about metabolic fluxes.

Authors:  Jens Nielsen
Journal:  J Bacteriol       Date:  2003-12       Impact factor: 3.490

3.  Methionine adenosyltransferase 1A knockout mice are predisposed to liver injury and exhibit increased expression of genes involved in proliferation.

Authors:  S C Lu; L Alvarez; Z Z Huang; L Chen; W An; F J Corrales; M A Avila; G Kanel; J M Mato
Journal:  Proc Natl Acad Sci U S A       Date:  2001-04-24       Impact factor: 11.205

4.  S-adenosyl-L-methionine synthetase and phospholipid methyltransferase are inhibited in human cirrhosis.

Authors:  A M Duce; P Ortíz; C Cabrero; J M Mato
Journal:  Hepatology       Date:  1988 Jan-Feb       Impact factor: 17.425

5.  Reduced mRNA abundance of the main enzymes involved in methionine metabolism in human liver cirrhosis and hepatocellular carcinoma.

Authors:  M A Avila; C Berasain; L Torres; A Martín-Duce; F J Corrales; H Yang; J Prieto; S C Lu; J Caballería; J Rodés; J M Mato
Journal:  J Hepatol       Date:  2000-12       Impact factor: 25.083

6.  Molecular basis of phenotypic heterogeneity in phenylketonuria.

Authors:  Y Okano; R C Eisensmith; F Güttler; U Lichter-Konecki; D S Konecki; F K Trefz; M Dasovich; T Wang; K Henriksen; H Lou
Journal:  N Engl J Med       Date:  1991-05-02       Impact factor: 91.245

7.  Classification and prediction of survival in hepatocellular carcinoma by gene expression profiling.

Authors:  Ju-Seog Lee; In-Sun Chu; Jeonghoon Heo; Diego F Calvisi; Zongtang Sun; Tania Roskams; Anne Durnez; Anthony J Demetris; Snorri S Thorgeirsson
Journal:  Hepatology       Date:  2004-09       Impact factor: 17.425

8.  Hepatic gene expression profiles differentiate presymptomatic patients with mild versus severe nonalcoholic fatty liver disease.

Authors:  Cynthia A Moylan; Herbert Pang; Andrew Dellinger; Ayako Suzuki; Melanie E Garrett; Cynthia D Guy; Susan K Murphy; Allison E Ashley-Koch; Steve S Choi; Gregory A Michelotti; Daniel D Hampton; Yuping Chen; Hans L Tillmann; Michael A Hauser; Manal F Abdelmalek; Anna Mae Diehl
Journal:  Hepatology       Date:  2013-12-13       Impact factor: 17.425

9.  Functional proteomics of nonalcoholic steatohepatitis: mitochondrial proteins as targets of S-adenosylmethionine.

Authors:  Enrique Santamaria; Matías A Avila; M Ujue Latasa; Angel Rubio; Antonio Martin-Duce; Shelly C Lu; José M Mato; Fernando J Corrales
Journal:  Proc Natl Acad Sci U S A       Date:  2003-03-11       Impact factor: 11.205

10.  Spontaneous oxidative stress and liver tumors in mice lacking methionine adenosyltransferase 1A.

Authors:  Maria L Martínez-Chantar; Fernando J Corrales; L Alfonso Martínez-Cruz; Elena R García-Trevijano; Zong-Zhi Huang; Lixin Chen; Gary Kanel; Matías A Avila; José M Mato; Shelly C Lu
Journal:  FASEB J       Date:  2002-06-07       Impact factor: 5.191

View more
  4 in total

Review 1.  Radiomics: a primer on high-throughput image phenotyping.

Authors:  Kyle J Lafata; Yuqi Wang; Brandon Konkel; Fang-Fang Yin; Mustafa R Bashir
Journal:  Abdom Radiol (NY)       Date:  2021-08-25

2.  The genetic architecture of NAFLD among inbred strains of mice.

Authors:  Simon T Hui; Brian W Parks; Elin Org; Frode Norheim; Nam Che; Calvin Pan; Lawrence W Castellani; Sarada Charugundla; Darwin L Dirks; Nikolaos Psychogios; Isaac Neuhaus; Robert E Gerszten; Todd Kirchgessner; Peter S Gargalovic; Aldons J Lusis
Journal:  Elife       Date:  2015-06-12       Impact factor: 8.140

Review 3.  MicroRNAs in the Evaluation and Potential Treatment of Liver Diseases.

Authors:  Amar Mahgoub; Clifford J Steer
Journal:  J Clin Med       Date:  2016-05-10       Impact factor: 4.241

4.  Exploration the Mechanism of Doxorubicin-Induced Heart Failure in Rats by Integration of Proteomics and Metabolomics Data.

Authors:  Yu Yuan; Simiao Fan; Lexin Shu; Wei Huang; Lijuan Xie; Chenghao Bi; Hongxin Yu; Yuming Wang; Yubo Li
Journal:  Front Pharmacol       Date:  2020-12-10       Impact factor: 5.810

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.