ArticlePlant physiology2007
Major proteome variations associated with cherry tomato pericarp development and ripening.
Article in Plant physiology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
76 citing papers in PubMed, 257 citations in OpenAlex.
- Genetic Variability of Gene Expression in Tomato Fruits Ripened on and off the Vine: Cis-Regulatory Elements Associated with Differential Transcription Patterns in the Most Discrepant Variety.Plants (Basel, Switzerland) · 2025Article
- Modulating the activity of the APC/C regulator SISAMBA improves the sugar and antioxidant content of tomato fruits.Plant biotechnology journal · 2025Article
- Integrated Transcriptome and Proteome Analysis Reveals the Regulatory Mechanism of Root Growth by Protein Disulfide Isomerase in Arabidopsis.International journal of molecular sciences · 2024Article
- Integrated Transcriptome and Proteome Analysis Revealed the Regulatory Mechanism of Hypocotyl Elongation in Pakchoi.International journal of molecular sciences · 2023Article
- Genomics, Proteomics, and Metabolomics Approaches to Improve Abiotic Stress Tolerance in Tomato Plant.International journal of molecular sciences · 2023Review
- The Fruit Proteome Response to the Ripening Stages in Three Tomato Genotypes.Plants (Basel, Switzerland) · 2022Article
- Quantitative proteomic dataset of the mossData in brief · 2022Article
- Quantitative proteomic dataset of the mossData in brief · 2022Article
- Peroxisomal Proteome Mining of Sweet Pepper (Frontiers in plant science · 2022Article
- An efficient protein extraction method applied to mangrove plant Kandelia obovata leaves for proteomic analysis.Plant methods · 2021Article
- Comparative Analysis of Proteins Regulated during Cadmium Sulfide Quantum Dots Response inNanomaterials (Basel, Switzerland) · 2021Article
- Transcriptome analysis reveals mechanism of early ripening in Kyoho grape with hydrogen peroxide treatment.BMC genomics · 2020Article
- Comprehensive proteomics data on whole rice grain of selected pigmented and non-pigmented rice varieties using SWATH-MS approach.Data in brief · 2020Article
- Modulation of the Tomato Fruit Metabolome by LED Light.Metabolites · 2020Article
- Differential expression of microRNAs in tomato leaves treated with different light qualities.BMC genomics · 2020Article
- Combination of Transcriptomic, Proteomic, and Metabolomic Analysis Reveals the Ripening Mechanism of Banana Pulp.Biomolecules · 2019Article
- Systematically quantitative proteomics and metabolite profiles offer insight into fruit ripening behavior inRSC advances · 2019Article
- Regulatory motifs found in the small heat shock protein (sHSP) gene family in tomato.BMC genomics · 2018Article
- Quantitative proteomic analysis using iTRAQ to identify salt-responsive proteins during the germination stage of two Medicago species.Scientific reports · 2018Article
- Cold and Heat Stress Diversely Alter Both Cauliflower Respiration and Distinct Mitochondrial Proteins Including OXPHOS Components and Matrix Enzymes.International journal of molecular sciences · 2018Article
16 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tomato (Solanum lycopersicum) is a model plant for studying fleshy fruit development. Several genetic and molecular approaches have been developed to increase our knowledge about the physiological basis of fruit growth, but very few data are yet available at the proteomic level. The main stages of fruit development were first determined through the dynamics of fruit diameter and pericarp cell number. Then, total proteins were extracted from pericarp tissue at six relevant developmental stages and separated by two-dimensional gel electrophoresis. Protein patterns were markedly different between stages. Proteins showing major variations were monitored. We identified 90 of 1,791 well-resolved spots either by matrix-assisted laser-desorption ionization time-of-flight peptide mass fingerprinting or liquid chromatography-mass spectrometry sequencing and expressed sequence tag database searching. Clustered correlation analysis results pointed out groups of proteins with similar expression profiles during fruit development. In young fruit, spots linked to amino acid metabolism or protein synthesis were mainly expressed during the cell division stage and down-regulated later. Some spots linked to cell division processes could be identified. During the cell expansion phase, spots linked to photosynthesis and proteins linked to cell wall formation transiently increased. In contrast, the major part of the spots related to C compounds and carbohydrate metabolism or oxidative processes were up-regulated during fruit development, showing an increase in spot intensity during development and maximal abundance in mature fruit. This was also the case for spots linked to stress responses and fruit senescence. We discuss protein variations, taking into account their potential role during fruit growth and comparing our results with already known variations at mRNA and metabolite-profiling levels.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.