Cargando…

Gene Network Inference and Biochemical Assessment Delineates GPCR Pathways and CREB Targets in Small Intestinal Neuroendocrine Neoplasia

Small intestinal (SI) neuroendocrine tumors (NET) are increasing in incidence, however little is known about their biology. High throughput techniques such as inference of gene regulatory networks from microarray experiments can objectively define signaling machinery in this disease. Genome-wide co-...

Descripción completa

Detalles Bibliográficos
Autores principales: Drozdov, Ignat, Svejda, Bernhard, Gustafsson, Bjorn I., Mane, Shrikant, Pfragner, Roswitha, Kidd, Mark, Modlin, Irvin M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3154895/
https://www.ncbi.nlm.nih.gov/pubmed/21853033
http://dx.doi.org/10.1371/journal.pone.0022457
_version_ 1782210049736704000
author Drozdov, Ignat
Svejda, Bernhard
Gustafsson, Bjorn I.
Mane, Shrikant
Pfragner, Roswitha
Kidd, Mark
Modlin, Irvin M.
author_facet Drozdov, Ignat
Svejda, Bernhard
Gustafsson, Bjorn I.
Mane, Shrikant
Pfragner, Roswitha
Kidd, Mark
Modlin, Irvin M.
author_sort Drozdov, Ignat
collection PubMed
description Small intestinal (SI) neuroendocrine tumors (NET) are increasing in incidence, however little is known about their biology. High throughput techniques such as inference of gene regulatory networks from microarray experiments can objectively define signaling machinery in this disease. Genome-wide co-expression analysis was used to infer gene relevance network in SI-NETs. The network was confirmed to be non-random, scale-free, and highly modular. Functional analysis of gene co-expression modules revealed processes including ‘Nervous system development’, ‘Immune response’, and ‘Cell-cycle’. Importantly, gene network topology and differential expression analysis identified over-expression of the GPCR signaling regulators, the cAMP synthetase, ADCY2, and the protein kinase A, PRKAR1A. Seven CREB response element (CRE) transcripts associated with proliferation and secretion: BEX1, BICD1, CHGB, CPE, GABRB3, SCG2 and SCG3 as well as ADCY2 and PRKAR1A were measured in an independent SI dataset (n = 10 NETs; n = 8 normal preparations). All were up-regulated (p<0.035) with the exception of SCG3 which was not differently expressed. Forskolin (a direct cAMP activator, 10(−5) M) significantly stimulated transcription of pCREB and 3/7 CREB targets, isoproterenol (a selective ß-adrenergic receptor agonist and cAMP activator, 10(−5) M) stimulated pCREB and 4/7 targets while BIM-53061 (a dopamine D(2) and Serotonin [5-HT(2)] receptor agonist, 10(−6) M) stimulated 100% of targets as well as pCREB; CRE transcription correlated with the levels of cAMP accumulation and PKA activity; BIM-53061 stimulated the highest levels of cAMP and PKA (2.8-fold and 2.5-fold vs. 1.8–2-fold for isoproterenol and forskolin). Gene network inference and graph topology analysis in SI NETs suggests that SI NETs express neural GPCRs that activate different CRE targets associated with proliferation and secretion. In vitro studies, in a model NET cell system, confirmed that transcriptional effects are signaled through the cAMP/PKA/pCREB signaling pathway and that a SI NET cell line was most sensitive to a D(2) and 5-HT(2) receptor agonist BIM-53061.
format Online
Article
Text
id pubmed-3154895
institution National Center for Biotechnology Information
language English
publishDate 2011
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-31548952011-08-18 Gene Network Inference and Biochemical Assessment Delineates GPCR Pathways and CREB Targets in Small Intestinal Neuroendocrine Neoplasia Drozdov, Ignat Svejda, Bernhard Gustafsson, Bjorn I. Mane, Shrikant Pfragner, Roswitha Kidd, Mark Modlin, Irvin M. PLoS One Research Article Small intestinal (SI) neuroendocrine tumors (NET) are increasing in incidence, however little is known about their biology. High throughput techniques such as inference of gene regulatory networks from microarray experiments can objectively define signaling machinery in this disease. Genome-wide co-expression analysis was used to infer gene relevance network in SI-NETs. The network was confirmed to be non-random, scale-free, and highly modular. Functional analysis of gene co-expression modules revealed processes including ‘Nervous system development’, ‘Immune response’, and ‘Cell-cycle’. Importantly, gene network topology and differential expression analysis identified over-expression of the GPCR signaling regulators, the cAMP synthetase, ADCY2, and the protein kinase A, PRKAR1A. Seven CREB response element (CRE) transcripts associated with proliferation and secretion: BEX1, BICD1, CHGB, CPE, GABRB3, SCG2 and SCG3 as well as ADCY2 and PRKAR1A were measured in an independent SI dataset (n = 10 NETs; n = 8 normal preparations). All were up-regulated (p<0.035) with the exception of SCG3 which was not differently expressed. Forskolin (a direct cAMP activator, 10(−5) M) significantly stimulated transcription of pCREB and 3/7 CREB targets, isoproterenol (a selective ß-adrenergic receptor agonist and cAMP activator, 10(−5) M) stimulated pCREB and 4/7 targets while BIM-53061 (a dopamine D(2) and Serotonin [5-HT(2)] receptor agonist, 10(−6) M) stimulated 100% of targets as well as pCREB; CRE transcription correlated with the levels of cAMP accumulation and PKA activity; BIM-53061 stimulated the highest levels of cAMP and PKA (2.8-fold and 2.5-fold vs. 1.8–2-fold for isoproterenol and forskolin). Gene network inference and graph topology analysis in SI NETs suggests that SI NETs express neural GPCRs that activate different CRE targets associated with proliferation and secretion. In vitro studies, in a model NET cell system, confirmed that transcriptional effects are signaled through the cAMP/PKA/pCREB signaling pathway and that a SI NET cell line was most sensitive to a D(2) and 5-HT(2) receptor agonist BIM-53061. Public Library of Science 2011-08-11 /pmc/articles/PMC3154895/ /pubmed/21853033 http://dx.doi.org/10.1371/journal.pone.0022457 Text en Drozdov et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Drozdov, Ignat
Svejda, Bernhard
Gustafsson, Bjorn I.
Mane, Shrikant
Pfragner, Roswitha
Kidd, Mark
Modlin, Irvin M.
Gene Network Inference and Biochemical Assessment Delineates GPCR Pathways and CREB Targets in Small Intestinal Neuroendocrine Neoplasia
title Gene Network Inference and Biochemical Assessment Delineates GPCR Pathways and CREB Targets in Small Intestinal Neuroendocrine Neoplasia
title_full Gene Network Inference and Biochemical Assessment Delineates GPCR Pathways and CREB Targets in Small Intestinal Neuroendocrine Neoplasia
title_fullStr Gene Network Inference and Biochemical Assessment Delineates GPCR Pathways and CREB Targets in Small Intestinal Neuroendocrine Neoplasia
title_full_unstemmed Gene Network Inference and Biochemical Assessment Delineates GPCR Pathways and CREB Targets in Small Intestinal Neuroendocrine Neoplasia
title_short Gene Network Inference and Biochemical Assessment Delineates GPCR Pathways and CREB Targets in Small Intestinal Neuroendocrine Neoplasia
title_sort gene network inference and biochemical assessment delineates gpcr pathways and creb targets in small intestinal neuroendocrine neoplasia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3154895/
https://www.ncbi.nlm.nih.gov/pubmed/21853033
http://dx.doi.org/10.1371/journal.pone.0022457
work_keys_str_mv AT drozdovignat genenetworkinferenceandbiochemicalassessmentdelineatesgpcrpathwaysandcrebtargetsinsmallintestinalneuroendocrineneoplasia
AT svejdabernhard genenetworkinferenceandbiochemicalassessmentdelineatesgpcrpathwaysandcrebtargetsinsmallintestinalneuroendocrineneoplasia
AT gustafssonbjorni genenetworkinferenceandbiochemicalassessmentdelineatesgpcrpathwaysandcrebtargetsinsmallintestinalneuroendocrineneoplasia
AT maneshrikant genenetworkinferenceandbiochemicalassessmentdelineatesgpcrpathwaysandcrebtargetsinsmallintestinalneuroendocrineneoplasia
AT pfragnerroswitha genenetworkinferenceandbiochemicalassessmentdelineatesgpcrpathwaysandcrebtargetsinsmallintestinalneuroendocrineneoplasia
AT kiddmark genenetworkinferenceandbiochemicalassessmentdelineatesgpcrpathwaysandcrebtargetsinsmallintestinalneuroendocrineneoplasia
AT modlinirvinm genenetworkinferenceandbiochemicalassessmentdelineatesgpcrpathwaysandcrebtargetsinsmallintestinalneuroendocrineneoplasia