ArticleMolecular & cellular proteomics : MCP2023
Quantitative Time-Course Analysis of Osmotic and Salt Stress in Arabidopsis thaliana Using Short Gradient Multi-CV FAIMSpro BoxCar DIA.
Article in Molecular & cellular proteomics : MCP, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 12 citations in OpenAlex.
- Toward simple, rapid, and deep plant proteome analysis with an in-cell proteomics strategy.Plant physiology · 2026Article
- Optimizing bio-orthogonal non-canonical amino acid tagging (BONCAT) for low-disruption labeling of Arabidopsis proteins in vivo.Plant physiology · 2026Article
- Multiomics analysis revealed the temporally common and specific molecular changes in Arabidopsis thaliana (L.) under salt stress.BMC genomics · 2025Article
- Toward simple, rapid, and deep plant proteome analysis with an in-cell proteomics strategy.bioRxiv : the preprint server for biology · 2025Article
- Defining the Molecular Impacts of Humalite Application on Field-Grown Wheat (Triticum aestivum L.) Using Quantitative Proteomics.Proteomics · 2025Article
- Synchrotron macro-ATR-FTIR: a powerful technique for analyzing changes in plant cell chemical composition after surfactant exposure.The Plant journal : for cell and molecular biology · 2025Article
- Enhanced Analysis of Low-Abundance Proteins in Soybean Seeds Using Advanced Mass Spectrometry.International journal of molecular sciences · 2025Article
- Arabidopsis root apical meristem adaptation to an osmotic gradient condition: an integrated approach from cell expansion to gene expression.Frontiers in plant science · 2024Article
- Liquid-phase separations coupled with ion mobility-mass spectrometry for next-generation biopharmaceutical analysis.Expert review of proteomicsReview
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4 authors at 1 institution in 1 country.
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Abstract
A major limitation when undertaking quantitative proteomic time-course experimentation is the tradeoff between depth-of-analysis and speed-of-analysis. In high complexity and high dynamic range sample types, such as plant extracts, balance between resolution and time is especially apparent. To address this, we evaluate multiple compensation voltage (CV) high field asymmetric waveform ion mobility spectrometry (FAIMSpro) settings using the latest label-free single-shot Orbitrap-based DIA acquisition workflows for their ability to deeply quantify the Arabidopsis thaliana seedling proteome. Using a BoxCarDIA acquisition workflow with a -30 -50 -70 CV FAIMSpro setting, we were able to consistently quantify >5000 Arabidopsis seedling proteins over a 21-min gradient, facilitating the analysis of ∼42 samples per day. Utilizing this acquisition approach, we then quantified proteome-level changes occurring in Arabidopsis seedling shoots and roots over 24 h of salt and osmotic stress, to identify early and late stress response proteins and reveal stress response overlaps. Here, we successfully quantify >6400 shoot and >8500 root protein groups, respectively, quantifying nearly ∼9700 unique protein groups in total across the study. Collectively, we pioneer a short gradient, multi-CV FAIMSpro BoxCarDIA acquisition workflow that represents an exciting new analysis approach for undertaking quantitative proteomic time-course experimentation in plants.
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