Literature DB >> 16077195

Where are we in genomics?

J F Hocquette1.   

Abstract

Genomic studies provide scientists with methods to quickly analyse genes and their products en masse. The first high-throughput techniques to be developed were sequencing methods. A great number of genomes from different organisms have thus been sequenced. Genomics is now shifting to the study of gene expression and function. In the past 5-10 years genomics, proteomics and high-throughput microarray technologies have fundamentally changed our ability to study the molecular basis of cells and tissues in health and diseases, giving a new comprehensive view. For example, in cancer research we have seen new diagnostic opportunities for tumour classification, and prognostication. A new exciting development is metabolomics and lab-on-a-chip techniques (which combine miniaturization and automation) for metabolic studies. However, to interpret the large amount of data, extensive computational development is required. In the coming years, we will see the study of biological networks dominating the scene in Physiology. The great accumulation of genomics information will be used in computer programs to simulate biologic processes. Originally developed for genome analysis, bioinformatics now encompasses a wide range of fields in biology from gene studies to integrated biology (i.e. combination of different data sets from genes to metabolites). This is systems biology which aims to study biological organisms as a whole. In medicine, scientific results and applied biotechnologies arising from genomics will be used for effective prediction of diseases and risk associated with drugs. Preventive medicine and medical therapy will be personalized. Widespread applications of genomics for personalized medicine will require associations of gene expression pattern with diagnoses, treatment and clinical data. This will help in the discovery and development of drugs. In agriculture and animal science, the outcomes of genomics will include improvement in food safety, in crop yield, in traceability and in quality of animal products (dairy products and meat) through increased efficiency in breeding and better knowledge of animal physiology. Genomics and integrated biology are huge tasks and no single lab can pursue this alone. We are probably at the end of the beginning rather than at the beginning of the end because Genomics will probably change Biology to a greater extent than previously forecasted. In addition, there is a great need for more information and better understanding of genomics before complete public acceptance.

Entities:  

Mesh:

Year:  2005        PMID: 16077195

Source DB:  PubMed          Journal:  J Physiol Pharmacol        ISSN: 0867-5910            Impact factor:   3.011


  13 in total

1.  Time-resolved metabolic footprinting for nonlinear modeling of bacterial substrate utilization.

Authors:  Volker Behrends; Tim M D Ebbels; Huw D Williams; Jacob G Bundy
Journal:  Appl Environ Microbiol       Date:  2009-02-13       Impact factor: 4.792

2.  CellMinerHCC: a microarray-based expression database for hepatocellular carcinoma cell lines.

Authors:  Frank Staib; Markus Krupp; Thorsten Maass; Timo Itzel; Arndt Weinmann; Ju-Seog Lee; Bertil Schmidt; Martina Müller; Snorri S Thorgeirsson; Peter R Galle; Andreas Teufel
Journal:  Liver Int       Date:  2013-09-09       Impact factor: 5.828

3.  Nutrigenomics: From promise to practice.

Authors:  Allal Ouhtit
Journal:  Sultan Qaboos Univ Med J       Date:  2014-01-27

4.  Library of molecular associations: curating the complex molecular basis of liver diseases.

Authors:  Stefan Buchkremer; Jasmin Hendel; Markus Krupp; Arndt Weinmann; Kai Schlamp; Thorsten Maass; Frank Staib; Peter R Galle; Andreas Teufel
Journal:  BMC Genomics       Date:  2010-03-20       Impact factor: 3.969

5.  Multilevel omic data integration in cancer cell lines: advanced annotation and emergent properties.

Authors:  Yuanhua Liu; Valentina Devescovi; Suning Chen; Christine Nardini
Journal:  BMC Syst Biol       Date:  2013-02-19

6.  Joint analysis of transcriptional and post- transcriptional brain tumor data: searching for emergent properties of cellular systems.

Authors:  Raffaele Fronza; Michele Tramonti; William R Atchley; Christine Nardini
Journal:  BMC Bioinformatics       Date:  2011-03-30       Impact factor: 3.169

7.  Brain cancer prognosis: independent validation of a clinical bioinformatics approach.

Authors:  Raffaele Fronza; Michele Tramonti; William R Atchley; Christine Nardini
Journal:  J Clin Bioinforma       Date:  2012-02-01

8.  Identification of new hematopoietic cell subsets with a polyclonal antibody library specific for neglected proteins.

Authors:  Monica Moro; Mariacristina Crosti; Pasquale Creo; Pierangela Gallina; Serena Curti; Elisa Sugliano; Rossana Scavelli; Davide Cattaneo; Elena Canidio; Maurizio Marconi; Paolo Rebulla; Paolo Sarmientos; Giuseppe Viale; Massimiliano Pagani; Sergio Abrignani
Journal:  PLoS One       Date:  2012-04-04       Impact factor: 3.240

9.  eCAM: Integrative Genomics and Fecundity.

Authors:  Edwin L Cooper
Journal:  Evid Based Complement Alternat Med       Date:  2009-06       Impact factor: 2.629

Review 10.  Genetic instability in the tumor microenvironment: a new look at an old neighbor.

Authors:  Antonio Palumbo; Nathalia de Oliveira Meireles Da Costa; Martin Hernan Bonamino; Luis Felipe Ribeiro Pinto; Luiz Eurico Nasciutti
Journal:  Mol Cancer       Date:  2015-07-31       Impact factor: 27.401

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