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Novel Pancreatic Endocrine Maturation Pathways Identified by Genomic Profiling and Causal Reasoning
We have used a previously unavailable model of pancreatic development, derived in vitro from human embryonic stem cells, to capture a time-course of gene, miRNA and histone modification levels in pancreatic endocrine cells. We investigated whether it is possible to better understand, and hence contr...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3572136/ https://www.ncbi.nlm.nih.gov/pubmed/23418498 http://dx.doi.org/10.1371/journal.pone.0056024 |
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author | Gutteridge, Alex Rukstalis, J. Michael Ziemek, Daniel Tié, Mark Ji, Lin Ramos-Zayas, Rebeca Nardone, Nancy A. Norquay, Lisa D. Brenner, Martin B. Tang, Kim McNeish, John D. Rowntree, Rebecca K. |
author_facet | Gutteridge, Alex Rukstalis, J. Michael Ziemek, Daniel Tié, Mark Ji, Lin Ramos-Zayas, Rebeca Nardone, Nancy A. Norquay, Lisa D. Brenner, Martin B. Tang, Kim McNeish, John D. Rowntree, Rebecca K. |
author_sort | Gutteridge, Alex |
collection | PubMed |
description | We have used a previously unavailable model of pancreatic development, derived in vitro from human embryonic stem cells, to capture a time-course of gene, miRNA and histone modification levels in pancreatic endocrine cells. We investigated whether it is possible to better understand, and hence control, the biological pathways leading to pancreatic endocrine formation by analysing this information and combining it with the available scientific literature to generate models using a casual reasoning approach. We show that the embryonic stem cell differentiation protocol is highly reproducible in producing endocrine precursor cells and generates cells that recapitulate many aspects of human embryonic pancreas development, including maturation into functional endocrine cells when transplanted into recipient animals. The availability of whole genome gene and miRNA expression data from the early stages of human pancreatic development will be of great benefit to those in the fields of developmental biology and diabetes research. Our causal reasoning algorithm suggested the involvement of novel gene networks, such as NEUROG3/E2F1/KDM5B and SOCS3/STAT3/IL-6, in endocrine cell development We experimentally investigated the role of the top-ranked prediction by showing that addition of exogenous IL-6 could affect the expression of the endocrine progenitor genes NEUROG3 and NKX2.2. |
format | Online Article Text |
id | pubmed-3572136 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-35721362013-02-15 Novel Pancreatic Endocrine Maturation Pathways Identified by Genomic Profiling and Causal Reasoning Gutteridge, Alex Rukstalis, J. Michael Ziemek, Daniel Tié, Mark Ji, Lin Ramos-Zayas, Rebeca Nardone, Nancy A. Norquay, Lisa D. Brenner, Martin B. Tang, Kim McNeish, John D. Rowntree, Rebecca K. PLoS One Research Article We have used a previously unavailable model of pancreatic development, derived in vitro from human embryonic stem cells, to capture a time-course of gene, miRNA and histone modification levels in pancreatic endocrine cells. We investigated whether it is possible to better understand, and hence control, the biological pathways leading to pancreatic endocrine formation by analysing this information and combining it with the available scientific literature to generate models using a casual reasoning approach. We show that the embryonic stem cell differentiation protocol is highly reproducible in producing endocrine precursor cells and generates cells that recapitulate many aspects of human embryonic pancreas development, including maturation into functional endocrine cells when transplanted into recipient animals. The availability of whole genome gene and miRNA expression data from the early stages of human pancreatic development will be of great benefit to those in the fields of developmental biology and diabetes research. Our causal reasoning algorithm suggested the involvement of novel gene networks, such as NEUROG3/E2F1/KDM5B and SOCS3/STAT3/IL-6, in endocrine cell development We experimentally investigated the role of the top-ranked prediction by showing that addition of exogenous IL-6 could affect the expression of the endocrine progenitor genes NEUROG3 and NKX2.2. Public Library of Science 2013-02-13 /pmc/articles/PMC3572136/ /pubmed/23418498 http://dx.doi.org/10.1371/journal.pone.0056024 Text en © 2013 Gutteridge 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 Gutteridge, Alex Rukstalis, J. Michael Ziemek, Daniel Tié, Mark Ji, Lin Ramos-Zayas, Rebeca Nardone, Nancy A. Norquay, Lisa D. Brenner, Martin B. Tang, Kim McNeish, John D. Rowntree, Rebecca K. Novel Pancreatic Endocrine Maturation Pathways Identified by Genomic Profiling and Causal Reasoning |
title | Novel Pancreatic Endocrine Maturation Pathways Identified by Genomic Profiling and Causal Reasoning |
title_full | Novel Pancreatic Endocrine Maturation Pathways Identified by Genomic Profiling and Causal Reasoning |
title_fullStr | Novel Pancreatic Endocrine Maturation Pathways Identified by Genomic Profiling and Causal Reasoning |
title_full_unstemmed | Novel Pancreatic Endocrine Maturation Pathways Identified by Genomic Profiling and Causal Reasoning |
title_short | Novel Pancreatic Endocrine Maturation Pathways Identified by Genomic Profiling and Causal Reasoning |
title_sort | novel pancreatic endocrine maturation pathways identified by genomic profiling and causal reasoning |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3572136/ https://www.ncbi.nlm.nih.gov/pubmed/23418498 http://dx.doi.org/10.1371/journal.pone.0056024 |
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