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Related Experiment Video

Updated: Dec 31, 2025

Tomato Analyzer: A Useful Software Application to Collect Accurate and Detailed Morphological and Colorimetric Data from Two-dimensional Objects

Tomato Analyzer: A Useful Software Application to Collect Accurate and Detailed Morphological and Colorimetric Data from Two-dimensional Objects

Published on: March 16, 2010

Transcriptomic and proteomic data in developing tomato fruit.

Isma Belouah¹, Camille Bénard¹, Alisandra Denton²

¹UMR 1332 BFP, INRA, Univ Bordeaux, F33883, Villenave d'Ornon, France.

|January 8, 2020

Summary

This summary is machine-generated.

This study quantifies mRNA and protein levels during tomato fruit development. These comprehensive datasets enable mathematical modeling of protein turnover in developing tomatoes.

Keywords:

Absolute quantification Pericarp Protein turnover Proteomics Time-series Tomato fruit development Transcriptomics

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Area of Science:

Plant Biology
Molecular Biology
Biochemistry

Background:

Tomato fruit development involves complex gene expression and protein regulation.
Understanding these molecular dynamics is crucial for crop improvement and food science.

Purpose of the Study:

To quantitatively profile the tomato fruit pericarp transcriptome and proteome across nine developmental stages.
To generate high-quality, publicly available datasets for future research.
To enable mathematical modeling of protein turnover during fruit development.

Main Methods:

Transcriptomic analysis using Illumina sequencing for absolute mRNA quantification.
Proteomic analysis employing label-free LC-MS/MS for absolute protein quantification.
Data normalization and statistical modeling for accurate abundance estimation.

Main Results:

Quantified 22,877 transcripts and 2,375 proteins across nine developmental stages.
Generated comprehensive, quantitative transcriptomic and proteomic datasets.
Established publicly accessible data repositories (GEO, PROTICdb, ProteomeXchange).

Conclusions:

The study provides a valuable quantitative resource for tomato fruit development research.
The generated data facilitates the development of mathematical models for protein turnover.
These findings contribute to a deeper understanding of fruit ripening and molecular processes.