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Transcriptomic and proteomic data in developing tomato fruit
Transcriptomic and proteomic analyses were performed on three replicates of tomato fruit pericarp samples collected at nine developmental stages, each replicate resulting from the pooling of at least 15 fruits. For transcriptome analysis, Illumina-sequenced libraries were mapped on the tomato genome...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6938935/ https://www.ncbi.nlm.nih.gov/pubmed/31909114 http://dx.doi.org/10.1016/j.dib.2019.105015 |
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author | Belouah, Isma Bénard, Camille Denton, Alisandra Blein-Nicolas, Mélisande Balliau, Thierry Teyssier, Emeline Gallusci, Philippe Bouchez, Olivier Usadel, Björn Zivy, Michel Gibon, Yves Colombié, Sophie |
author_facet | Belouah, Isma Bénard, Camille Denton, Alisandra Blein-Nicolas, Mélisande Balliau, Thierry Teyssier, Emeline Gallusci, Philippe Bouchez, Olivier Usadel, Björn Zivy, Michel Gibon, Yves Colombié, Sophie |
author_sort | Belouah, Isma |
collection | PubMed |
description | Transcriptomic and proteomic analyses were performed on three replicates of tomato fruit pericarp samples collected at nine developmental stages, each replicate resulting from the pooling of at least 15 fruits. For transcriptome analysis, Illumina-sequenced libraries were mapped on the tomato genome with the aim to obtain absolute quantification of mRNA abundance. To achieve this, spikes were added at the beginning of the RNA extraction procedure. From 34,725 possible transcripts identified in the tomato, 22,877 were quantified in at least one of the nine developmental stages. For the proteome analysis, label-free liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) was used. Peptide ions, and subsequently the proteins from which they were derived, were quantified by integrating the signal intensities obtained from extracted ion currents (XIC) with the MassChroQ software. Absolute concentrations of individual proteins were estimated for 2375 proteins by using a mixed effects model from log(10)-transformed intensities and normalized to the total protein content. Transcriptomics data are available via GEO repository with accession number GSE128739. The raw MS output files and identification data were deposited on-line using the PROTICdb database (http://moulon.inra.fr/protic/tomato_fruit_development) and MS proteomics data have also been deposited to the ProteomeXchange with the dataset identifier PXD012877. The main added value of these quantitative datasets is their use in a mathematical model to estimate protein turnover in developing tomato fruit. |
format | Online Article Text |
id | pubmed-6938935 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-69389352020-01-06 Transcriptomic and proteomic data in developing tomato fruit Belouah, Isma Bénard, Camille Denton, Alisandra Blein-Nicolas, Mélisande Balliau, Thierry Teyssier, Emeline Gallusci, Philippe Bouchez, Olivier Usadel, Björn Zivy, Michel Gibon, Yves Colombié, Sophie Data Brief Biochemistry, Genetics and Molecular Biology Transcriptomic and proteomic analyses were performed on three replicates of tomato fruit pericarp samples collected at nine developmental stages, each replicate resulting from the pooling of at least 15 fruits. For transcriptome analysis, Illumina-sequenced libraries were mapped on the tomato genome with the aim to obtain absolute quantification of mRNA abundance. To achieve this, spikes were added at the beginning of the RNA extraction procedure. From 34,725 possible transcripts identified in the tomato, 22,877 were quantified in at least one of the nine developmental stages. For the proteome analysis, label-free liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) was used. Peptide ions, and subsequently the proteins from which they were derived, were quantified by integrating the signal intensities obtained from extracted ion currents (XIC) with the MassChroQ software. Absolute concentrations of individual proteins were estimated for 2375 proteins by using a mixed effects model from log(10)-transformed intensities and normalized to the total protein content. Transcriptomics data are available via GEO repository with accession number GSE128739. The raw MS output files and identification data were deposited on-line using the PROTICdb database (http://moulon.inra.fr/protic/tomato_fruit_development) and MS proteomics data have also been deposited to the ProteomeXchange with the dataset identifier PXD012877. The main added value of these quantitative datasets is their use in a mathematical model to estimate protein turnover in developing tomato fruit. Elsevier 2019-12-17 /pmc/articles/PMC6938935/ /pubmed/31909114 http://dx.doi.org/10.1016/j.dib.2019.105015 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Biochemistry, Genetics and Molecular Biology Belouah, Isma Bénard, Camille Denton, Alisandra Blein-Nicolas, Mélisande Balliau, Thierry Teyssier, Emeline Gallusci, Philippe Bouchez, Olivier Usadel, Björn Zivy, Michel Gibon, Yves Colombié, Sophie Transcriptomic and proteomic data in developing tomato fruit |
title | Transcriptomic and proteomic data in developing tomato fruit |
title_full | Transcriptomic and proteomic data in developing tomato fruit |
title_fullStr | Transcriptomic and proteomic data in developing tomato fruit |
title_full_unstemmed | Transcriptomic and proteomic data in developing tomato fruit |
title_short | Transcriptomic and proteomic data in developing tomato fruit |
title_sort | transcriptomic and proteomic data in developing tomato fruit |
topic | Biochemistry, Genetics and Molecular Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6938935/ https://www.ncbi.nlm.nih.gov/pubmed/31909114 http://dx.doi.org/10.1016/j.dib.2019.105015 |
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