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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
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.
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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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