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Composite transcriptome assembly of RNA-seq data in a sheep model for delayed bone healing

BACKGROUND: The sheep is an important model organism for many types of medically relevant research, but molecular genetic experiments in the sheep have been limited by the lack of knowledge about ovine gene sequences. RESULTS: Prior to our study, mRNA sequences for only 1,556 partial or complete ovi...

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Autores principales: Jäger, Marten, Ott, Claus-Eric, Grünhagen, Johannes, Hecht, Jochen, Schell, Hanna, Mundlos, Stefan, Duda, Georg N, Robinson, Peter N, Lienau, Jasmin
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3074554/
https://www.ncbi.nlm.nih.gov/pubmed/21435219
http://dx.doi.org/10.1186/1471-2164-12-158
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author Jäger, Marten
Ott, Claus-Eric
Grünhagen, Johannes
Hecht, Jochen
Schell, Hanna
Mundlos, Stefan
Duda, Georg N
Robinson, Peter N
Lienau, Jasmin
author_facet Jäger, Marten
Ott, Claus-Eric
Grünhagen, Johannes
Hecht, Jochen
Schell, Hanna
Mundlos, Stefan
Duda, Georg N
Robinson, Peter N
Lienau, Jasmin
author_sort Jäger, Marten
collection PubMed
description BACKGROUND: The sheep is an important model organism for many types of medically relevant research, but molecular genetic experiments in the sheep have been limited by the lack of knowledge about ovine gene sequences. RESULTS: Prior to our study, mRNA sequences for only 1,556 partial or complete ovine genes were publicly available. Therefore, we developed a composite de novo transcriptome assembly method for next-generation sequence data to combine known ovine mRNA and EST sequences, mRNA sequences from mouse and cow, and sequences assembled de novo from short read RNA-Seq data into a composite reference transcriptome, and identified transcripts from over 12 thousand previously undescribed ovine genes. Gene expression analysis based on these data revealed substantially different expression profiles in standard versus delayed bone healing in an ovine tibial osteotomy model. Hundreds of transcripts were differentially expressed between standard and delayed healing and between the time points of the standard and delayed healing groups. We used the sheep sequences to design quantitative RT-PCR assays with which we validated the differential expression of 26 genes that had been identified by RNA-seq analysis. A number of clusters of characteristic expression profiles could be identified, some of which showed striking differences between the standard and delayed healing groups. Gene Ontology (GO) analysis showed that the differentially expressed genes were enriched in terms including extracellular matrix, cartilage development, contractile fiber, and chemokine activity. CONCLUSIONS: Our results provide a first atlas of gene expression profiles and differentially expressed genes in standard and delayed bone healing in a large-animal model and provide a number of clues as to the shifts in gene expression that underlie delayed bone healing. In the course of our study, we identified transcripts of 13,987 ovine genes, including 12,431 genes for which no sequence information was previously available. This information will provide a basis for future molecular research involving the sheep as a model organism.
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spelling pubmed-30745542011-04-13 Composite transcriptome assembly of RNA-seq data in a sheep model for delayed bone healing Jäger, Marten Ott, Claus-Eric Grünhagen, Johannes Hecht, Jochen Schell, Hanna Mundlos, Stefan Duda, Georg N Robinson, Peter N Lienau, Jasmin BMC Genomics Research Article BACKGROUND: The sheep is an important model organism for many types of medically relevant research, but molecular genetic experiments in the sheep have been limited by the lack of knowledge about ovine gene sequences. RESULTS: Prior to our study, mRNA sequences for only 1,556 partial or complete ovine genes were publicly available. Therefore, we developed a composite de novo transcriptome assembly method for next-generation sequence data to combine known ovine mRNA and EST sequences, mRNA sequences from mouse and cow, and sequences assembled de novo from short read RNA-Seq data into a composite reference transcriptome, and identified transcripts from over 12 thousand previously undescribed ovine genes. Gene expression analysis based on these data revealed substantially different expression profiles in standard versus delayed bone healing in an ovine tibial osteotomy model. Hundreds of transcripts were differentially expressed between standard and delayed healing and between the time points of the standard and delayed healing groups. We used the sheep sequences to design quantitative RT-PCR assays with which we validated the differential expression of 26 genes that had been identified by RNA-seq analysis. A number of clusters of characteristic expression profiles could be identified, some of which showed striking differences between the standard and delayed healing groups. Gene Ontology (GO) analysis showed that the differentially expressed genes were enriched in terms including extracellular matrix, cartilage development, contractile fiber, and chemokine activity. CONCLUSIONS: Our results provide a first atlas of gene expression profiles and differentially expressed genes in standard and delayed bone healing in a large-animal model and provide a number of clues as to the shifts in gene expression that underlie delayed bone healing. In the course of our study, we identified transcripts of 13,987 ovine genes, including 12,431 genes for which no sequence information was previously available. This information will provide a basis for future molecular research involving the sheep as a model organism. BioMed Central 2011-03-24 /pmc/articles/PMC3074554/ /pubmed/21435219 http://dx.doi.org/10.1186/1471-2164-12-158 Text en Copyright ©2011 Jäger et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Jäger, Marten
Ott, Claus-Eric
Grünhagen, Johannes
Hecht, Jochen
Schell, Hanna
Mundlos, Stefan
Duda, Georg N
Robinson, Peter N
Lienau, Jasmin
Composite transcriptome assembly of RNA-seq data in a sheep model for delayed bone healing
title Composite transcriptome assembly of RNA-seq data in a sheep model for delayed bone healing
title_full Composite transcriptome assembly of RNA-seq data in a sheep model for delayed bone healing
title_fullStr Composite transcriptome assembly of RNA-seq data in a sheep model for delayed bone healing
title_full_unstemmed Composite transcriptome assembly of RNA-seq data in a sheep model for delayed bone healing
title_short Composite transcriptome assembly of RNA-seq data in a sheep model for delayed bone healing
title_sort composite transcriptome assembly of rna-seq data in a sheep model for delayed bone healing
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3074554/
https://www.ncbi.nlm.nih.gov/pubmed/21435219
http://dx.doi.org/10.1186/1471-2164-12-158
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