ArticlePlant physiology2004
A proteomic analysis of maize chloroplast biogenesis.
Article in Plant physiology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed, 114 citations in OpenAlex.
- Integrative Multi-Omics Analysis Reveals Systemic Transcriptional and Hormonal Reprogramming Associated with a Rice Yellow-Green Leaf Mutant.Current issues in molecular biology · 2026Article
- Physiological and transcriptomic analysis of a yellow leaf mutant in watermelon.Scientific reports · 2023Article
- Over-expression ofPeerJ · 2023Article
- Comparative Analysis of the Metabolome and Transcriptome between the Green and Yellow-Green Regions of Variegated Leaves in a Mutant Variety of the Tree SpeciesInternational journal of molecular sciences · 2022Article
- Methylome and transcriptome analyses of three different degrees of albinism in apple seedlings.BMC genomics · 2022Article
- Genetic Mapping of theFrontiers in plant science · 2022Article
- Cytological, Biochemical, and Transcriptomic Analyses of a Novel Yellow Leaf Variation in aGenes · 2021Article
- Mapping of a Pale Green Mutant Gene and Its Functional Verification by Allelic Mutations in Chinese Cabbage (Frontiers in plant science · 2021Article
- Article
- The Reason for Growth Inhibition ofInternational journal of molecular sciences · 2019Article
- Highly Resolved Systems Biology to Dissect the Etioplast-to-Chloroplast Transition in Tobacco Leaves.Plant physiology · 2019Article
- Cytological, physiological, and transcriptomic analyses of golden leaf coloration inHorticulture research · 2018Article
- Fine Mapping ofFrontiers in plant science · 2018Article
- Stable Membrane-Association of mRNAs in Etiolated, Greening and Mature Plastids.International journal of molecular sciences · 2017Article
- Regulatory Shifts in Plastid Transcription Play a Key Role in Morphological Conversions of Plastids during Plant Development.Frontiers in plant science · 2017Review
- Cereal Crop Proteomics: Systemic Analysis of Crop Drought Stress Responses Towards Marker-Assisted Selection Breeding.Frontiers in plant science · 2017Review
- Evaluation of Three Protein-Extraction Methods for Proteome Analysis of Maize Leaf Midrib, a Compound Tissue Rich in Sclerenchyma Cells.Frontiers in plant science · 2016Article
- Physiological Characterization and Comparative Transcriptome Analysis of a Slow-Growing Reduced-Thylakoid Mutant of Chinese Cabbage (Brassica campestris ssp. pekinensis).Frontiers in plant science · 2016Article
- Reduction of oxalate levels in tomato fruit and consequent metabolic remodeling following overexpression of a fungal oxalate decarboxylase.Plant physiology · 2013Article
- C4 photosynthetic machinery: insights from maize chloroplast proteomics.Frontiers in plant science · 2013Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Proteomics studies to explore global patterns of protein expression in plant and green algal systems have proliferated within the past few years. Although most of these studies have involved mapping of the proteomes of various organs, tissues, cells, or organelles, comparative proteomics experiments have also led to the identification of proteins that change in abundance in various developmental or physiological contexts. Despite the growing use of proteomics in plant studies, questions of reproducibility have not generally been addressed, nor have quantitative methods been widely used, for example, to identify protein expression classes. In this report, we use the de-etiolation ("greening") of maize (Zea mays) chloroplasts as a model system to explore these questions, and we outline a reproducible protocol to identify changes in the plastid proteome that occur during the greening process using techniques of two-dimensional gel electrophoresis and mass spectrometry. We also evaluate hierarchical and nonhierarchical statistical methods to analyze the patterns of expression of 526 "high-quality," unique spots on the two-dimensional gels. We conclude that Adaptive Resonance Theory 2-a nonhierarchical, neural clustering technique that has not been previously applied to gene expression data-is a powerful technique for discriminating protein expression classes during greening. Our experiments provide a foundation for the use of proteomics in the design of experiments to address fundamental questions in plant physiology and molecular biology.
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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.