Epigenetic hereditary transcription profiles III, evidence for an epigenetic network resulting in gender, tissue and age-specific variation in overall transcription
<p>Abstract</p> <p>Background</p> <p>We have previously shown that deviations from the average transcription profile of a group of functionally related genes are not only heritable, but also demonstrate specific patterns associated with age, gender and differentiation,...
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doaj-45c53457d8714883b9b824ce7af49e052020-11-25T02:51:26ZengBMCBiology Direct1745-61502009-10-01413710.1186/1745-6150-4-37Epigenetic hereditary transcription profiles III, evidence for an epigenetic network resulting in gender, tissue and age-specific variation in overall transcriptionSimons Johannes WIM<p>Abstract</p> <p>Background</p> <p>We have previously shown that deviations from the average transcription profile of a group of functionally related genes are not only heritable, but also demonstrate specific patterns associated with age, gender and differentiation, thereby implicating genome-wide nuclear programming as the cause. To determine whether these results could be reproduced, a different micro-array database (obtained from two types of muscle tissue, derived from 81 human donors aged between 16 to 89 years) was studied.</p> <p>Results</p> <p>This new database also revealed the existence of age, gender and tissue-specific features in a small group of functionally related genes. In order to further analyze this phenomenon, a method was developed for quantifying the contribution of different factors to the variability in gene expression, and for generating a database limited to residual values reflecting constitutional differences between individuals. These constitutional differences, presumably epigenetic in origin, contribute to about 50% of the observed residual variance which is connected with a network of interrelated changes in gene expression with some genes displaying a decrease or increase in residual variation with age.</p> <p>Conclusion</p> <p>Epigenetic variation in gene expression without a clear concomitant relation to gene function appears to be a widespread phenomenon. This variation is connected with interactions between genes, is gender and tissue specific and is related to cellular aging.</p> <p>This finding, together with the method developed for analysis, might contribute to the elucidation of the role of nuclear programming in differentiation, aging and carcinogenesis</p> <p>Reviewers</p> <p>This article was reviewed by Thiago M. Venancio (nominated by Aravind Iyer), Hua Li (nominated by Arcady Mushegian) and Arcady Mushegian and J.P.de Magelhaes (nominated by G. Church).</p> http://www.biology-direct.com/content/4/1/37 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Simons Johannes WIM |
spellingShingle |
Simons Johannes WIM Epigenetic hereditary transcription profiles III, evidence for an epigenetic network resulting in gender, tissue and age-specific variation in overall transcription Biology Direct |
author_facet |
Simons Johannes WIM |
author_sort |
Simons Johannes WIM |
title |
Epigenetic hereditary transcription profiles III, evidence for an epigenetic network resulting in gender, tissue and age-specific variation in overall transcription |
title_short |
Epigenetic hereditary transcription profiles III, evidence for an epigenetic network resulting in gender, tissue and age-specific variation in overall transcription |
title_full |
Epigenetic hereditary transcription profiles III, evidence for an epigenetic network resulting in gender, tissue and age-specific variation in overall transcription |
title_fullStr |
Epigenetic hereditary transcription profiles III, evidence for an epigenetic network resulting in gender, tissue and age-specific variation in overall transcription |
title_full_unstemmed |
Epigenetic hereditary transcription profiles III, evidence for an epigenetic network resulting in gender, tissue and age-specific variation in overall transcription |
title_sort |
epigenetic hereditary transcription profiles iii, evidence for an epigenetic network resulting in gender, tissue and age-specific variation in overall transcription |
publisher |
BMC |
series |
Biology Direct |
issn |
1745-6150 |
publishDate |
2009-10-01 |
description |
<p>Abstract</p> <p>Background</p> <p>We have previously shown that deviations from the average transcription profile of a group of functionally related genes are not only heritable, but also demonstrate specific patterns associated with age, gender and differentiation, thereby implicating genome-wide nuclear programming as the cause. To determine whether these results could be reproduced, a different micro-array database (obtained from two types of muscle tissue, derived from 81 human donors aged between 16 to 89 years) was studied.</p> <p>Results</p> <p>This new database also revealed the existence of age, gender and tissue-specific features in a small group of functionally related genes. In order to further analyze this phenomenon, a method was developed for quantifying the contribution of different factors to the variability in gene expression, and for generating a database limited to residual values reflecting constitutional differences between individuals. These constitutional differences, presumably epigenetic in origin, contribute to about 50% of the observed residual variance which is connected with a network of interrelated changes in gene expression with some genes displaying a decrease or increase in residual variation with age.</p> <p>Conclusion</p> <p>Epigenetic variation in gene expression without a clear concomitant relation to gene function appears to be a widespread phenomenon. This variation is connected with interactions between genes, is gender and tissue specific and is related to cellular aging.</p> <p>This finding, together with the method developed for analysis, might contribute to the elucidation of the role of nuclear programming in differentiation, aging and carcinogenesis</p> <p>Reviewers</p> <p>This article was reviewed by Thiago M. Venancio (nominated by Aravind Iyer), Hua Li (nominated by Arcady Mushegian) and Arcady Mushegian and J.P.de Magelhaes (nominated by G. Church).</p> |
url |
http://www.biology-direct.com/content/4/1/37 |
work_keys_str_mv |
AT simonsjohanneswim epigenetichereditarytranscriptionprofilesiiievidenceforanepigeneticnetworkresultingingendertissueandagespecificvariationinoveralltranscription |
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