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Effects of Mecp2 loss of function in embryonic cortical neurons: a bioinformatics strategy to sort out non-neuronal cells variability from transcriptome profiling
BACKGROUND: Mecp2 null mice model Rett syndrome (RTT) a human neurological disorder affecting females after apparent normal pre- and peri-natal developmental periods. Neuroanatomical studies in cerebral cortex of RTT mouse models revealed delayed maturation of neuronal morphology and autonomous as w...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4959389/ https://www.ncbi.nlm.nih.gov/pubmed/26821710 http://dx.doi.org/10.1186/s12859-015-0859-7 |
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author | Vacca, Marcella Tripathi, Kumar Parijat Speranza, Luisa Aiese Cigliano, Riccardo Scalabrì, Francesco Marracino, Federico Madonna, Michele Sanseverino, Walter Perrone-Capano, Carla Guarracino, Mario Rosario D’Esposito, Maurizio |
author_facet | Vacca, Marcella Tripathi, Kumar Parijat Speranza, Luisa Aiese Cigliano, Riccardo Scalabrì, Francesco Marracino, Federico Madonna, Michele Sanseverino, Walter Perrone-Capano, Carla Guarracino, Mario Rosario D’Esposito, Maurizio |
author_sort | Vacca, Marcella |
collection | PubMed |
description | BACKGROUND: Mecp2 null mice model Rett syndrome (RTT) a human neurological disorder affecting females after apparent normal pre- and peri-natal developmental periods. Neuroanatomical studies in cerebral cortex of RTT mouse models revealed delayed maturation of neuronal morphology and autonomous as well as non-cell autonomous reduction in dendritic complexity of postnatal cortical neurons. However, both morphometric parameters and high-resolution expression profile of cortical neurons at embryonic developmental stage have not yet been studied. Here we address these topics by using embryonic neuronal primary cultures from Mecp2 loss of function mouse model. RESULTS: We show that embryonic primary cortical neurons of Mecp2 null mice display reduced neurite complexity possibly reflecting transcriptional changes. We used RNA-sequencing coupled with a bioinformatics comparative approach to identify and remove the contribution of variable and hard to quantify non-neuronal brain cells present in our in vitro cell cultures. CONCLUSIONS: Our results support the need to investigate both Mecp2 morphological as well as molecular effect in neurons since prenatal developmental stage, long time before onset of Rett symptoms. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-015-0859-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4959389 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-49593892016-08-01 Effects of Mecp2 loss of function in embryonic cortical neurons: a bioinformatics strategy to sort out non-neuronal cells variability from transcriptome profiling Vacca, Marcella Tripathi, Kumar Parijat Speranza, Luisa Aiese Cigliano, Riccardo Scalabrì, Francesco Marracino, Federico Madonna, Michele Sanseverino, Walter Perrone-Capano, Carla Guarracino, Mario Rosario D’Esposito, Maurizio BMC Bioinformatics Research BACKGROUND: Mecp2 null mice model Rett syndrome (RTT) a human neurological disorder affecting females after apparent normal pre- and peri-natal developmental periods. Neuroanatomical studies in cerebral cortex of RTT mouse models revealed delayed maturation of neuronal morphology and autonomous as well as non-cell autonomous reduction in dendritic complexity of postnatal cortical neurons. However, both morphometric parameters and high-resolution expression profile of cortical neurons at embryonic developmental stage have not yet been studied. Here we address these topics by using embryonic neuronal primary cultures from Mecp2 loss of function mouse model. RESULTS: We show that embryonic primary cortical neurons of Mecp2 null mice display reduced neurite complexity possibly reflecting transcriptional changes. We used RNA-sequencing coupled with a bioinformatics comparative approach to identify and remove the contribution of variable and hard to quantify non-neuronal brain cells present in our in vitro cell cultures. CONCLUSIONS: Our results support the need to investigate both Mecp2 morphological as well as molecular effect in neurons since prenatal developmental stage, long time before onset of Rett symptoms. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-015-0859-7) contains supplementary material, which is available to authorized users. BioMed Central 2016-01-20 /pmc/articles/PMC4959389/ /pubmed/26821710 http://dx.doi.org/10.1186/s12859-015-0859-7 Text en © Vacca et al. 2015 Open AccessThis article is 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 you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Vacca, Marcella Tripathi, Kumar Parijat Speranza, Luisa Aiese Cigliano, Riccardo Scalabrì, Francesco Marracino, Federico Madonna, Michele Sanseverino, Walter Perrone-Capano, Carla Guarracino, Mario Rosario D’Esposito, Maurizio Effects of Mecp2 loss of function in embryonic cortical neurons: a bioinformatics strategy to sort out non-neuronal cells variability from transcriptome profiling |
title | Effects of Mecp2 loss of function in embryonic cortical neurons: a bioinformatics strategy to sort out non-neuronal cells variability from transcriptome profiling |
title_full | Effects of Mecp2 loss of function in embryonic cortical neurons: a bioinformatics strategy to sort out non-neuronal cells variability from transcriptome profiling |
title_fullStr | Effects of Mecp2 loss of function in embryonic cortical neurons: a bioinformatics strategy to sort out non-neuronal cells variability from transcriptome profiling |
title_full_unstemmed | Effects of Mecp2 loss of function in embryonic cortical neurons: a bioinformatics strategy to sort out non-neuronal cells variability from transcriptome profiling |
title_short | Effects of Mecp2 loss of function in embryonic cortical neurons: a bioinformatics strategy to sort out non-neuronal cells variability from transcriptome profiling |
title_sort | effects of mecp2 loss of function in embryonic cortical neurons: a bioinformatics strategy to sort out non-neuronal cells variability from transcriptome profiling |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4959389/ https://www.ncbi.nlm.nih.gov/pubmed/26821710 http://dx.doi.org/10.1186/s12859-015-0859-7 |
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