ArticlePloS one2013
Plant SILAC: stable-isotope labelling with amino acids of arabidopsis seedlings for quantitative proteomics.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 45 citations in OpenAlex.
- Review
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- Recent advances in mass spectrometry analysis of neuropeptides.Mass spectrometry reviews · 2023Review
- Bringing New Methods to the Seed Proteomics Platform: Challenges and Perspectives.International journal of molecular sciences · 2020Review
- Translational gene regulation in plants: A green new deal.Wiley interdisciplinary reviews. RNA · 2020Review
- Nonsense-Mediated RNA Decay Factor UPF1 Is Critical for Posttranscriptional and Translational Gene Regulation in Arabidopsis.The Plant cell · 2020Article
- Large Scale Proteomic Data and Network-Based Systems Biology Approaches to Explore the Plant World.Proteomes · 2018Article
- The Multiple Functions of the Nucleolus in Plant Development, Disease and Stress Responses.Frontiers in plant science · 2018Review
- A Plant Biologist's Toolbox to Study Translation.Frontiers in plant science · 2018Review
- Bioorthogonal Noncanonical Amino Acid Tagging (BONCAT) Enables Time-Resolved Analysis of Protein Synthesis in Native Plant Tissue.Plant physiology · 2017Article
- Drought and Recovery: Independently Regulated Processes Highlighting the Importance of Protein Turnover Dynamics and Translational Regulation in Medicago truncatula.Molecular & cellular proteomics : MCP · 2016Article
- Quantitative Proteomic Analysis of the Response to Zinc, Magnesium, and Calcium Deficiency in Specific Cell Types ofProteomes · 2016Article
- Mechanism-Based Post-Translational Modification and Inactivation in Terpene Synthases.ACS chemical biology · 2015Article
- The Circadian Clock Modulates Global Daily Cycles of mRNA Ribosome Loading.The Plant cell · 2015Article
- Protein degradation and dynamic tRNA thiolation fine-tune translation at elevated temperatures.Nucleic acids research · 2015Article
- Advances in Mass Spectrometric Tools for Probing Neuropeptides.Annual review of analytical chemistry (Palo Alto, Calif.) · 2015Review
- RNA around the clock - regulation at the RNA level in biological timing.Frontiers in plant science · 2015Review
- Proteins with high turnover rate in barley leaves estimated by proteome analysis combined with in planta isotope labeling.Plant physiology · 2014Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Stable Isotope Labelling by Amino acids in Cell culture (SILAC) is a powerful technique for comparative quantitative proteomics, which has recently been applied to a number of different eukaryotic organisms. Inefficient incorporation of labelled amino acids in cell cultures of Arabidopsis thaliana has led to very limited use of SILAC in plant systems. We present a method allowing, for the first time, efficient labelling with stable isotope-containing arginine and lysine of whole Arabidopsis seedlings. To illustrate the utility of this method, we have combined the high labelling efficiency (>95%) with quantitative proteomics analyses of seedlings exposed to increased salt concentration. In plants treated for 7 days with 80 mM NaCl, a relatively mild salt stress, 215 proteins were identified whose expression levels changed significantly compared to untreated seedling controls. The 92 up-regulated proteins included proteins involved in abiotic stress responses and photosynthesis, while the 123 down-regulated proteins were enriched in proteins involved in reduction of oxidative stress and other stress responses, respectively. Efficient labelling of whole Arabidopsis seedlings by this modified SILAC method opens new opportunities to exploit the genetic resources of Arabidopsis and analyse the impact of mutations on quantitative protein dynamics in vivo.
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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.