Identification of the Rage-dependent gene regulatory network in a mouse model of skin inflammation
<p>Abstract</p> <p>Background</p> <p>In the past, molecular mechanisms that drive the initiation of an inflammatory response have been studied intensively. However, corresponding mechanisms that sustain the expression of inflammatory response genes and hence contribute...
Main Authors: | , , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2010-10-01
|
Series: | BMC Genomics |
Online Access: | http://www.biomedcentral.com/1471-2164/11/537 |
id |
doaj-eb45e21835784dc08aecece949309174 |
---|---|
record_format |
Article |
spelling |
doaj-eb45e21835784dc08aecece9493091742020-11-24T21:01:37ZengBMCBMC Genomics1471-21642010-10-0111153710.1186/1471-2164-11-537Identification of the Rage-dependent gene regulatory network in a mouse model of skin inflammationGebhardt ChristofferNémeth JuliaMark ReginaBusch HaukeBrors BenediktBauer TobiasRiehl AstridBierhaus AngelikaNawroth PeterEils RolandKönig RainerAngel PeterHess Jochen<p>Abstract</p> <p>Background</p> <p>In the past, molecular mechanisms that drive the initiation of an inflammatory response have been studied intensively. However, corresponding mechanisms that sustain the expression of inflammatory response genes and hence contribute to the establishment of chronic disorders remain poorly understood. Recently, we provided genetic evidence that signaling via the receptor for advanced glycation end products (Rage) drives the strength and maintenance of an inflammatory reaction. In order to decipher the mode of Rage function on gene transcription levels during inflammation, we applied global gene expression profiling on time-resolved samples of mouse back skin, which had been treated with the phorbol ester TPA, a potent inducer of skin inflammation.</p> <p>Results</p> <p>Ranking of TPA-regulated genes according to their time average mean and peak expression and superimposition of data sets from wild-type (<it>wt</it>) and <it>Rage</it>-deficient mice revealed that Rage signaling is not essential for initial changes in TPA-induced transcription, but absolutely required for sustained alterations in transcript levels. Next, we used a data set of differentially expressed genes between TPA-treated <it>wt </it>and <it>Rage</it>-deficient skin and performed computational analysis of their proximal promoter regions. We found a highly significant enrichment for several transcription factor binding sites (TFBS) leading to the prediction that corresponding transcription factors, such as Sp1, Tcfap2, E2f, Myc and Egr, are regulated by Rage signaling. Accordingly, we could confirm aberrant expression and regulation of members of the E2f protein family in epidermal keratinocytes of Rage-deficient mice.</p> <p>Conclusions</p> <p>In summary, our data support the model that engagement of Rage converts a transient cellular stimulation into sustained cellular dysfunction and highlight a novel role of the Rb-E2f pathway in Rage-dependent inflammation during pathological conditions.</p> http://www.biomedcentral.com/1471-2164/11/537 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Gebhardt Christoffer Németh Julia Mark Regina Busch Hauke Brors Benedikt Bauer Tobias Riehl Astrid Bierhaus Angelika Nawroth Peter Eils Roland König Rainer Angel Peter Hess Jochen |
spellingShingle |
Gebhardt Christoffer Németh Julia Mark Regina Busch Hauke Brors Benedikt Bauer Tobias Riehl Astrid Bierhaus Angelika Nawroth Peter Eils Roland König Rainer Angel Peter Hess Jochen Identification of the Rage-dependent gene regulatory network in a mouse model of skin inflammation BMC Genomics |
author_facet |
Gebhardt Christoffer Németh Julia Mark Regina Busch Hauke Brors Benedikt Bauer Tobias Riehl Astrid Bierhaus Angelika Nawroth Peter Eils Roland König Rainer Angel Peter Hess Jochen |
author_sort |
Gebhardt Christoffer |
title |
Identification of the Rage-dependent gene regulatory network in a mouse model of skin inflammation |
title_short |
Identification of the Rage-dependent gene regulatory network in a mouse model of skin inflammation |
title_full |
Identification of the Rage-dependent gene regulatory network in a mouse model of skin inflammation |
title_fullStr |
Identification of the Rage-dependent gene regulatory network in a mouse model of skin inflammation |
title_full_unstemmed |
Identification of the Rage-dependent gene regulatory network in a mouse model of skin inflammation |
title_sort |
identification of the rage-dependent gene regulatory network in a mouse model of skin inflammation |
publisher |
BMC |
series |
BMC Genomics |
issn |
1471-2164 |
publishDate |
2010-10-01 |
description |
<p>Abstract</p> <p>Background</p> <p>In the past, molecular mechanisms that drive the initiation of an inflammatory response have been studied intensively. However, corresponding mechanisms that sustain the expression of inflammatory response genes and hence contribute to the establishment of chronic disorders remain poorly understood. Recently, we provided genetic evidence that signaling via the receptor for advanced glycation end products (Rage) drives the strength and maintenance of an inflammatory reaction. In order to decipher the mode of Rage function on gene transcription levels during inflammation, we applied global gene expression profiling on time-resolved samples of mouse back skin, which had been treated with the phorbol ester TPA, a potent inducer of skin inflammation.</p> <p>Results</p> <p>Ranking of TPA-regulated genes according to their time average mean and peak expression and superimposition of data sets from wild-type (<it>wt</it>) and <it>Rage</it>-deficient mice revealed that Rage signaling is not essential for initial changes in TPA-induced transcription, but absolutely required for sustained alterations in transcript levels. Next, we used a data set of differentially expressed genes between TPA-treated <it>wt </it>and <it>Rage</it>-deficient skin and performed computational analysis of their proximal promoter regions. We found a highly significant enrichment for several transcription factor binding sites (TFBS) leading to the prediction that corresponding transcription factors, such as Sp1, Tcfap2, E2f, Myc and Egr, are regulated by Rage signaling. Accordingly, we could confirm aberrant expression and regulation of members of the E2f protein family in epidermal keratinocytes of Rage-deficient mice.</p> <p>Conclusions</p> <p>In summary, our data support the model that engagement of Rage converts a transient cellular stimulation into sustained cellular dysfunction and highlight a novel role of the Rb-E2f pathway in Rage-dependent inflammation during pathological conditions.</p> |
url |
http://www.biomedcentral.com/1471-2164/11/537 |
work_keys_str_mv |
AT gebhardtchristoffer identificationoftheragedependentgeneregulatorynetworkinamousemodelofskininflammation AT nemethjulia identificationoftheragedependentgeneregulatorynetworkinamousemodelofskininflammation AT markregina identificationoftheragedependentgeneregulatorynetworkinamousemodelofskininflammation AT buschhauke identificationoftheragedependentgeneregulatorynetworkinamousemodelofskininflammation AT brorsbenedikt identificationoftheragedependentgeneregulatorynetworkinamousemodelofskininflammation AT bauertobias identificationoftheragedependentgeneregulatorynetworkinamousemodelofskininflammation AT riehlastrid identificationoftheragedependentgeneregulatorynetworkinamousemodelofskininflammation AT bierhausangelika identificationoftheragedependentgeneregulatorynetworkinamousemodelofskininflammation AT nawrothpeter identificationoftheragedependentgeneregulatorynetworkinamousemodelofskininflammation AT eilsroland identificationoftheragedependentgeneregulatorynetworkinamousemodelofskininflammation AT konigrainer identificationoftheragedependentgeneregulatorynetworkinamousemodelofskininflammation AT angelpeter identificationoftheragedependentgeneregulatorynetworkinamousemodelofskininflammation AT hessjochen identificationoftheragedependentgeneregulatorynetworkinamousemodelofskininflammation |
_version_ |
1716777513230794752 |