Cargando…

Digital gene expression approach over multiple RNA-Seq data sets to detect neoblast transcriptional changes in Schmidtea mediterranea

BACKGROUND: The freshwater planarian Schmidtea mediterranea is recognised as a valuable model for research into adult stem cells and regeneration. With the advent of the high-throughput sequencing technologies, it has become feasible to undertake detailed transcriptional analysis of its unique stem...

Descripción completa

Detalles Bibliográficos
Autores principales: Rodríguez-Esteban, Gustavo, González-Sastre, Alejandro, Rojo-Laguna, José Ignacio, Saló, Emili, Abril, Josep F
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4494696/
https://www.ncbi.nlm.nih.gov/pubmed/25952370
http://dx.doi.org/10.1186/s12864-015-1533-1
_version_ 1782380139259101184
author Rodríguez-Esteban, Gustavo
González-Sastre, Alejandro
Rojo-Laguna, José Ignacio
Saló, Emili
Abril, Josep F
author_facet Rodríguez-Esteban, Gustavo
González-Sastre, Alejandro
Rojo-Laguna, José Ignacio
Saló, Emili
Abril, Josep F
author_sort Rodríguez-Esteban, Gustavo
collection PubMed
description BACKGROUND: The freshwater planarian Schmidtea mediterranea is recognised as a valuable model for research into adult stem cells and regeneration. With the advent of the high-throughput sequencing technologies, it has become feasible to undertake detailed transcriptional analysis of its unique stem cell population, the neoblasts. Nonetheless, a reliable reference for this type of studies is still lacking. RESULTS: Taking advantage of digital gene expression (DGE) sequencing technology we compare all the available transcriptomes for S. mediterranea and improve their annotation. These results are accessible via web for the community of researchers. Using the quantitative nature of DGE, we describe the transcriptional profile of neoblasts and present 42 new neoblast genes, including several cancer-related genes and transcription factors. Furthermore, we describe in detail the Smed-meis-like gene and the three Nuclear Factor Y subunits Smed-nf-YA, Smed-nf-YB-2 and Smed-nf-YC. CONCLUSIONS: DGE is a valuable tool for gene discovery, quantification and annotation. The application of DGE in S. mediterranea confirms the planarian stem cells or neoblasts as a complex population of pluripotent and multipotent cells regulated by a mixture of transcription factors and cancer-related genes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-1533-1) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-4494696
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-44946962015-07-08 Digital gene expression approach over multiple RNA-Seq data sets to detect neoblast transcriptional changes in Schmidtea mediterranea Rodríguez-Esteban, Gustavo González-Sastre, Alejandro Rojo-Laguna, José Ignacio Saló, Emili Abril, Josep F BMC Genomics Research Article BACKGROUND: The freshwater planarian Schmidtea mediterranea is recognised as a valuable model for research into adult stem cells and regeneration. With the advent of the high-throughput sequencing technologies, it has become feasible to undertake detailed transcriptional analysis of its unique stem cell population, the neoblasts. Nonetheless, a reliable reference for this type of studies is still lacking. RESULTS: Taking advantage of digital gene expression (DGE) sequencing technology we compare all the available transcriptomes for S. mediterranea and improve their annotation. These results are accessible via web for the community of researchers. Using the quantitative nature of DGE, we describe the transcriptional profile of neoblasts and present 42 new neoblast genes, including several cancer-related genes and transcription factors. Furthermore, we describe in detail the Smed-meis-like gene and the three Nuclear Factor Y subunits Smed-nf-YA, Smed-nf-YB-2 and Smed-nf-YC. CONCLUSIONS: DGE is a valuable tool for gene discovery, quantification and annotation. The application of DGE in S. mediterranea confirms the planarian stem cells or neoblasts as a complex population of pluripotent and multipotent cells regulated by a mixture of transcription factors and cancer-related genes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-1533-1) contains supplementary material, which is available to authorized users. BioMed Central 2015-05-08 /pmc/articles/PMC4494696/ /pubmed/25952370 http://dx.doi.org/10.1186/s12864-015-1533-1 Text en © Rodríguez-Esteban et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 Article
Rodríguez-Esteban, Gustavo
González-Sastre, Alejandro
Rojo-Laguna, José Ignacio
Saló, Emili
Abril, Josep F
Digital gene expression approach over multiple RNA-Seq data sets to detect neoblast transcriptional changes in Schmidtea mediterranea
title Digital gene expression approach over multiple RNA-Seq data sets to detect neoblast transcriptional changes in Schmidtea mediterranea
title_full Digital gene expression approach over multiple RNA-Seq data sets to detect neoblast transcriptional changes in Schmidtea mediterranea
title_fullStr Digital gene expression approach over multiple RNA-Seq data sets to detect neoblast transcriptional changes in Schmidtea mediterranea
title_full_unstemmed Digital gene expression approach over multiple RNA-Seq data sets to detect neoblast transcriptional changes in Schmidtea mediterranea
title_short Digital gene expression approach over multiple RNA-Seq data sets to detect neoblast transcriptional changes in Schmidtea mediterranea
title_sort digital gene expression approach over multiple rna-seq data sets to detect neoblast transcriptional changes in schmidtea mediterranea
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4494696/
https://www.ncbi.nlm.nih.gov/pubmed/25952370
http://dx.doi.org/10.1186/s12864-015-1533-1
work_keys_str_mv AT rodriguezestebangustavo digitalgeneexpressionapproachovermultiplernaseqdatasetstodetectneoblasttranscriptionalchangesinschmidteamediterranea
AT gonzalezsastrealejandro digitalgeneexpressionapproachovermultiplernaseqdatasetstodetectneoblasttranscriptionalchangesinschmidteamediterranea
AT rojolagunajoseignacio digitalgeneexpressionapproachovermultiplernaseqdatasetstodetectneoblasttranscriptionalchangesinschmidteamediterranea
AT saloemili digitalgeneexpressionapproachovermultiplernaseqdatasetstodetectneoblasttranscriptionalchangesinschmidteamediterranea
AT abriljosepf digitalgeneexpressionapproachovermultiplernaseqdatasetstodetectneoblasttranscriptionalchangesinschmidteamediterranea