Cargando…
Unsupervised Network Analysis of the Plastic Supraoptic Nucleus Transcriptome Predicts Caprin2 Regulatory Interactions
The supraoptic nucleus (SON) is a group of neurons in the hypothalamus responsible for the synthesis and secretion of the peptide hormones vasopressin and oxytocin. Following physiological cues, such as dehydration, salt-loading and lactation, the SON undergoes a function related plasticity that we...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society for Neuroscience
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5738864/ https://www.ncbi.nlm.nih.gov/pubmed/29279858 http://dx.doi.org/10.1523/ENEURO.0243-17.2017 |
_version_ | 1783287777777942528 |
---|---|
author | Loh, Su-Yi Jahans-Price, Thomas Greenwood, Michael P. Greenwood, Mingkwan Hoe, See-Ziau Konopacka, Agnieszka Campbell, Colin Murphy, David Hindmarch, Charles C. T. |
author_facet | Loh, Su-Yi Jahans-Price, Thomas Greenwood, Michael P. Greenwood, Mingkwan Hoe, See-Ziau Konopacka, Agnieszka Campbell, Colin Murphy, David Hindmarch, Charles C. T. |
author_sort | Loh, Su-Yi |
collection | PubMed |
description | The supraoptic nucleus (SON) is a group of neurons in the hypothalamus responsible for the synthesis and secretion of the peptide hormones vasopressin and oxytocin. Following physiological cues, such as dehydration, salt-loading and lactation, the SON undergoes a function related plasticity that we have previously described in the rat at the transcriptome level. Using the unsupervised graphical lasso (Glasso) algorithm, we reconstructed a putative network from 500 plastic SON genes in which genes are the nodes and the edges are the inferred interactions. The most active nodal gene identified within the network was Caprin2. Caprin2 encodes an RNA-binding protein that we have previously shown to be vital for the functioning of osmoregulatory neuroendocrine neurons in the SON of the rat hypothalamus. To test the validity of the Glasso network, we either overexpressed or knocked down Caprin2 transcripts in differentiated rat pheochromocytoma PC12 cells and showed that these manipulations had significant opposite effects on the levels of putative target mRNAs. These studies suggest that the predicative power of the Glasso algorithm within an in vivo system is accurate, and identifies biological targets that may be important to the functional plasticity of the SON. |
format | Online Article Text |
id | pubmed-5738864 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Society for Neuroscience |
record_format | MEDLINE/PubMed |
spelling | pubmed-57388642017-12-26 Unsupervised Network Analysis of the Plastic Supraoptic Nucleus Transcriptome Predicts Caprin2 Regulatory Interactions Loh, Su-Yi Jahans-Price, Thomas Greenwood, Michael P. Greenwood, Mingkwan Hoe, See-Ziau Konopacka, Agnieszka Campbell, Colin Murphy, David Hindmarch, Charles C. T. eNeuro New Research The supraoptic nucleus (SON) is a group of neurons in the hypothalamus responsible for the synthesis and secretion of the peptide hormones vasopressin and oxytocin. Following physiological cues, such as dehydration, salt-loading and lactation, the SON undergoes a function related plasticity that we have previously described in the rat at the transcriptome level. Using the unsupervised graphical lasso (Glasso) algorithm, we reconstructed a putative network from 500 plastic SON genes in which genes are the nodes and the edges are the inferred interactions. The most active nodal gene identified within the network was Caprin2. Caprin2 encodes an RNA-binding protein that we have previously shown to be vital for the functioning of osmoregulatory neuroendocrine neurons in the SON of the rat hypothalamus. To test the validity of the Glasso network, we either overexpressed or knocked down Caprin2 transcripts in differentiated rat pheochromocytoma PC12 cells and showed that these manipulations had significant opposite effects on the levels of putative target mRNAs. These studies suggest that the predicative power of the Glasso algorithm within an in vivo system is accurate, and identifies biological targets that may be important to the functional plasticity of the SON. Society for Neuroscience 2017-12-21 /pmc/articles/PMC5738864/ /pubmed/29279858 http://dx.doi.org/10.1523/ENEURO.0243-17.2017 Text en Copyright © 2017 Loh et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. |
spellingShingle | New Research Loh, Su-Yi Jahans-Price, Thomas Greenwood, Michael P. Greenwood, Mingkwan Hoe, See-Ziau Konopacka, Agnieszka Campbell, Colin Murphy, David Hindmarch, Charles C. T. Unsupervised Network Analysis of the Plastic Supraoptic Nucleus Transcriptome Predicts Caprin2 Regulatory Interactions |
title | Unsupervised Network Analysis of the Plastic Supraoptic Nucleus Transcriptome Predicts Caprin2 Regulatory Interactions |
title_full | Unsupervised Network Analysis of the Plastic Supraoptic Nucleus Transcriptome Predicts Caprin2 Regulatory Interactions |
title_fullStr | Unsupervised Network Analysis of the Plastic Supraoptic Nucleus Transcriptome Predicts Caprin2 Regulatory Interactions |
title_full_unstemmed | Unsupervised Network Analysis of the Plastic Supraoptic Nucleus Transcriptome Predicts Caprin2 Regulatory Interactions |
title_short | Unsupervised Network Analysis of the Plastic Supraoptic Nucleus Transcriptome Predicts Caprin2 Regulatory Interactions |
title_sort | unsupervised network analysis of the plastic supraoptic nucleus transcriptome predicts caprin2 regulatory interactions |
topic | New Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5738864/ https://www.ncbi.nlm.nih.gov/pubmed/29279858 http://dx.doi.org/10.1523/ENEURO.0243-17.2017 |
work_keys_str_mv | AT lohsuyi unsupervisednetworkanalysisoftheplasticsupraopticnucleustranscriptomepredictscaprin2regulatoryinteractions AT jahanspricethomas unsupervisednetworkanalysisoftheplasticsupraopticnucleustranscriptomepredictscaprin2regulatoryinteractions AT greenwoodmichaelp unsupervisednetworkanalysisoftheplasticsupraopticnucleustranscriptomepredictscaprin2regulatoryinteractions AT greenwoodmingkwan unsupervisednetworkanalysisoftheplasticsupraopticnucleustranscriptomepredictscaprin2regulatoryinteractions AT hoeseeziau unsupervisednetworkanalysisoftheplasticsupraopticnucleustranscriptomepredictscaprin2regulatoryinteractions AT konopackaagnieszka unsupervisednetworkanalysisoftheplasticsupraopticnucleustranscriptomepredictscaprin2regulatoryinteractions AT campbellcolin unsupervisednetworkanalysisoftheplasticsupraopticnucleustranscriptomepredictscaprin2regulatoryinteractions AT murphydavid unsupervisednetworkanalysisoftheplasticsupraopticnucleustranscriptomepredictscaprin2regulatoryinteractions AT hindmarchcharlesct unsupervisednetworkanalysisoftheplasticsupraopticnucleustranscriptomepredictscaprin2regulatoryinteractions |