Novel Insights into Adipogenesis from Omics Data

Obesity, the excess accumulation of adipose tissue, is one of the most pressing health problems in both the Western world and in developing countries. Adipose tissue growth results from two processes: the increase in number of adipocytes (hyperplasia) that develop from precursor cells, and the growt...

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Autores principales: Prokesch, Andreas, Hackl, Hubert, Hakim-Weber, Robab, Bornstein, Stefan R, Trajanoski, Zlatko
Formato: Texto
Lenguaje:English
Publicado: Bentham Science Publishers Ltd. 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2765082/
https://www.ncbi.nlm.nih.gov/pubmed/19689276
http://dx.doi.org/10.2174/092986709788803132
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author Prokesch, Andreas
Hackl, Hubert
Hakim-Weber, Robab
Bornstein, Stefan R
Trajanoski, Zlatko
author_facet Prokesch, Andreas
Hackl, Hubert
Hakim-Weber, Robab
Bornstein, Stefan R
Trajanoski, Zlatko
author_sort Prokesch, Andreas
collection PubMed
description Obesity, the excess accumulation of adipose tissue, is one of the most pressing health problems in both the Western world and in developing countries. Adipose tissue growth results from two processes: the increase in number of adipocytes (hyperplasia) that develop from precursor cells, and the growth of individual fat cells (hypertrophy) due to incorporation of triglycerides. Adipogenesis, the process of fat cell development, has been extensively studied using various cell and animal models. While these studies pointed out a number of key factors involved in adipogenesis, the list of molecular components is far from complete. The advance of high-throughput technologies has sparked many experimental studies aimed at the identification of novel molecular components regulating adipogenesis. This paper examines the results of recent studies on adipogenesis using high-throughput technologies. Specifically, it provides an overview of studies employing microarrays for gene expression profiling and studies using gel based and non-gel based proteomics as well as a chromatin immunoprecipitation followed by microarray analysis (ChIP-chip) or sequencing (ChIP-seq). Due to the maturity of the technology, the bulk of the available data was generated using microarrays. Therefore these data sets were not only reviewed but also underwent meta analysis. The review also shows that large-scale omics technologies in conjunction with sophisticated bioinformatics analyses can provide not only a list of novel players, but also a global view on biological processes and molecular networks. Finally, developing technologies and computational challenges associated with the data analyses are highlighted, and an outlook on the questions not previously addressed is provided.
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spelling pubmed-27650822009-10-23 Novel Insights into Adipogenesis from Omics Data Prokesch, Andreas Hackl, Hubert Hakim-Weber, Robab Bornstein, Stefan R Trajanoski, Zlatko Curr Med Chem Article Obesity, the excess accumulation of adipose tissue, is one of the most pressing health problems in both the Western world and in developing countries. Adipose tissue growth results from two processes: the increase in number of adipocytes (hyperplasia) that develop from precursor cells, and the growth of individual fat cells (hypertrophy) due to incorporation of triglycerides. Adipogenesis, the process of fat cell development, has been extensively studied using various cell and animal models. While these studies pointed out a number of key factors involved in adipogenesis, the list of molecular components is far from complete. The advance of high-throughput technologies has sparked many experimental studies aimed at the identification of novel molecular components regulating adipogenesis. This paper examines the results of recent studies on adipogenesis using high-throughput technologies. Specifically, it provides an overview of studies employing microarrays for gene expression profiling and studies using gel based and non-gel based proteomics as well as a chromatin immunoprecipitation followed by microarray analysis (ChIP-chip) or sequencing (ChIP-seq). Due to the maturity of the technology, the bulk of the available data was generated using microarrays. Therefore these data sets were not only reviewed but also underwent meta analysis. The review also shows that large-scale omics technologies in conjunction with sophisticated bioinformatics analyses can provide not only a list of novel players, but also a global view on biological processes and molecular networks. Finally, developing technologies and computational challenges associated with the data analyses are highlighted, and an outlook on the questions not previously addressed is provided. Bentham Science Publishers Ltd. 2009-08 /pmc/articles/PMC2765082/ /pubmed/19689276 http://dx.doi.org/10.2174/092986709788803132 Text en © 2009 Bentham Science Publishers Ltd. http://creativecommons.org/licenses/by/2.5/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.5/) which permits unrestrictive use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Article
Prokesch, Andreas
Hackl, Hubert
Hakim-Weber, Robab
Bornstein, Stefan R
Trajanoski, Zlatko
Novel Insights into Adipogenesis from Omics Data
title Novel Insights into Adipogenesis from Omics Data
title_full Novel Insights into Adipogenesis from Omics Data
title_fullStr Novel Insights into Adipogenesis from Omics Data
title_full_unstemmed Novel Insights into Adipogenesis from Omics Data
title_short Novel Insights into Adipogenesis from Omics Data
title_sort novel insights into adipogenesis from omics data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2765082/
https://www.ncbi.nlm.nih.gov/pubmed/19689276
http://dx.doi.org/10.2174/092986709788803132
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