ArticlePlant methods2024
Optimization of preparation conditions for Salsola laricifolia protoplasts using response surface methodology and artificial neural network modeling.
Article in Plant methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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.
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Who cites it
2 citing papers in PubMed, 2 citations in OpenAlex.
- Genome Editing Approaches in Flax (International journal of molecular sciences · 2026Review
- Genome-wide identification ofPeerJ · 2025Article
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Authors and funding
4 authors at 4 institutions in 3 countries.
Funding
Abstract
backgroundSalsola laricifolia is a typical C
resultsAmong the 17 experiment groups designed by Box-Behnken experimental design, the maximum yield (1.566 × 10
conclusionThe current study validated and evaluated the effectiveness and results of RSM and ANN in optimizing the conditions for protoplast preparation using S. laricifolia as materials. These two methods can be used independently of experimental materials, making them suitable for isolating protoplasts from other plant materials. The selection of the number of viable cells as an evaluation index for protoplast experiments is based on its ability to consider both protoplast yield and viability. The findings of this study provide an efficient single-cell system for future genetic experiments in S. laricifolia and can serve as a reference method for preparing protoplasts from other materials.
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Registered trials
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