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Gene expression dynamic analysis reveals co-activation of Sonic Hedgehog and epidermal growth factor followed by dynamic silencing

Aberrant activation of the Sonic Hedgehog (SHH) gene is observed in various cancers. Previous studies have shown a “cross-talk” effect between the canonical Hedgehog signaling pathway and the Epidermal Growth Factor (EGF) pathway when SHH is active in the presence of EGF. However, the precise mechan...

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Autores principales: Maroufy, Vahed, Shah, Pankil, Asghari, Arvand, Deng, Nan, Le, Rosemarie N.U., Ramirez, Juan C., Yaseen, Ashraf, Zheng, W. Jim, Umetani, Michihisa, Wu, Hulin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7170495/
https://www.ncbi.nlm.nih.gov/pubmed/32341755
http://dx.doi.org/10.18632/oncotarget.27547
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author Maroufy, Vahed
Shah, Pankil
Asghari, Arvand
Deng, Nan
Le, Rosemarie N.U.
Ramirez, Juan C.
Yaseen, Ashraf
Zheng, W. Jim
Umetani, Michihisa
Wu, Hulin
author_facet Maroufy, Vahed
Shah, Pankil
Asghari, Arvand
Deng, Nan
Le, Rosemarie N.U.
Ramirez, Juan C.
Yaseen, Ashraf
Zheng, W. Jim
Umetani, Michihisa
Wu, Hulin
author_sort Maroufy, Vahed
collection PubMed
description Aberrant activation of the Sonic Hedgehog (SHH) gene is observed in various cancers. Previous studies have shown a “cross-talk” effect between the canonical Hedgehog signaling pathway and the Epidermal Growth Factor (EGF) pathway when SHH is active in the presence of EGF. However, the precise mechanism of the cross-talk effect on the entire gene population has not been investigated. Here, we re-analyzed publicly available data to study how SHH and EGF cooperate to affect the dynamic activity of the gene population. We used genome dynamic analysis to explore the expression profiles under different conditions in a human medulloblastoma cell line. Ordinary differential equations, equipped with solid statistical and computational tools, were exploited to extract the information hidden in the dynamic behavior of the gene population. Our results revealed that EGF stimulation plays a dominant role, overshadowing most of the SHH effects. We also identified cross-talk genes that exhibited expression profiles dissimilar to that seen under SHH or EGF stimulation alone. These unique cross-talk patterns were validated in a cell culture model. These cross-talk genes identified here may serve as valuable markers to study or test for EGF co-stimulatory effects in an SHH+ environment. Furthermore, these cross-talk genes may play roles in cancer progression, thus they may be further explored as cancer treatment targets.
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spelling pubmed-71704952020-04-27 Gene expression dynamic analysis reveals co-activation of Sonic Hedgehog and epidermal growth factor followed by dynamic silencing Maroufy, Vahed Shah, Pankil Asghari, Arvand Deng, Nan Le, Rosemarie N.U. Ramirez, Juan C. Yaseen, Ashraf Zheng, W. Jim Umetani, Michihisa Wu, Hulin Oncotarget Research Paper Aberrant activation of the Sonic Hedgehog (SHH) gene is observed in various cancers. Previous studies have shown a “cross-talk” effect between the canonical Hedgehog signaling pathway and the Epidermal Growth Factor (EGF) pathway when SHH is active in the presence of EGF. However, the precise mechanism of the cross-talk effect on the entire gene population has not been investigated. Here, we re-analyzed publicly available data to study how SHH and EGF cooperate to affect the dynamic activity of the gene population. We used genome dynamic analysis to explore the expression profiles under different conditions in a human medulloblastoma cell line. Ordinary differential equations, equipped with solid statistical and computational tools, were exploited to extract the information hidden in the dynamic behavior of the gene population. Our results revealed that EGF stimulation plays a dominant role, overshadowing most of the SHH effects. We also identified cross-talk genes that exhibited expression profiles dissimilar to that seen under SHH or EGF stimulation alone. These unique cross-talk patterns were validated in a cell culture model. These cross-talk genes identified here may serve as valuable markers to study or test for EGF co-stimulatory effects in an SHH+ environment. Furthermore, these cross-talk genes may play roles in cancer progression, thus they may be further explored as cancer treatment targets. Impact Journals LLC 2020-04-14 /pmc/articles/PMC7170495/ /pubmed/32341755 http://dx.doi.org/10.18632/oncotarget.27547 Text en http://creativecommons.org/licenses/by/3.0/ Copyright: Maroufy et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Maroufy, Vahed
Shah, Pankil
Asghari, Arvand
Deng, Nan
Le, Rosemarie N.U.
Ramirez, Juan C.
Yaseen, Ashraf
Zheng, W. Jim
Umetani, Michihisa
Wu, Hulin
Gene expression dynamic analysis reveals co-activation of Sonic Hedgehog and epidermal growth factor followed by dynamic silencing
title Gene expression dynamic analysis reveals co-activation of Sonic Hedgehog and epidermal growth factor followed by dynamic silencing
title_full Gene expression dynamic analysis reveals co-activation of Sonic Hedgehog and epidermal growth factor followed by dynamic silencing
title_fullStr Gene expression dynamic analysis reveals co-activation of Sonic Hedgehog and epidermal growth factor followed by dynamic silencing
title_full_unstemmed Gene expression dynamic analysis reveals co-activation of Sonic Hedgehog and epidermal growth factor followed by dynamic silencing
title_short Gene expression dynamic analysis reveals co-activation of Sonic Hedgehog and epidermal growth factor followed by dynamic silencing
title_sort gene expression dynamic analysis reveals co-activation of sonic hedgehog and epidermal growth factor followed by dynamic silencing
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7170495/
https://www.ncbi.nlm.nih.gov/pubmed/32341755
http://dx.doi.org/10.18632/oncotarget.27547
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