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

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 populat...

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Veröffentlicht in:BMC genomics 2015-05, Vol.16 (1), p.361-361, Article 361
Hauptverfasser: Rodríguez-Esteban, Gustavo, González-Sastre, Alejandro, Rojo-Laguna, José Ignacio, Saló, Emili, Abril, Josep F
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container_start_page 361
container_title BMC genomics
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creator Rodríguez-Esteban, Gustavo
González-Sastre, Alejandro
Rojo-Laguna, José Ignacio
Saló, Emili
Abril, Josep F
description 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. 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. 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.
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subjects Analysis
Animals
CCAAT-Binding Factor - genetics
Cèl·lules mare
DNA binding proteins
Expressió gènica
Gene expression
Gene Expression Profiling
Gene Expression Regulation
Genes, Helminth
Genetic aspects
Homeodomain Proteins - genetics
Models, Animal
Molecular Sequence Data
Physiological aspects
Planarians - cytology
Planarians - genetics
RNA sequencing
RNA, Helminth - analysis
Sequence Analysis, RNA - methods
Stem cell research
Stem cells
Stem Cells - cytology
Stem Cells - metabolism
title Digital gene expression approach over multiple RNA-Seq data sets to detect neoblast transcriptional changes in Schmidtea mediterranea
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