Biomolecular condensates at the plasma membrane: Insights into plant cell signaling
Bibliographic record
Abstract
Biomolecular condensates, often formed through liquid–liquid phase separation (LLPS), are increasingly recognized as a critical mechanism for cellular compartmentalization across diverse biological systems. Although traditionally considered membrane-less entities, recent discoveries highlight their dynamic interactions with membranes, where they regulate various processes, including signal transduction. Signaling lipids are observed in condensates. Despite these advancements, our understanding of such condensates in plant biology remains limited. This review highlights recent studies involving membrane-associated condensates in plants, focusing particularly on their interactions with the plasma membrane (PM) and their potential roles in PM-based signaling. • Biomolecular condensates dynamically interact with membranes in living cells. • The adhesion of condensates to membranes enables reciprocal regulation between the two. • Biophysical forces arising from condensate-membrane interactions can reshape both condensates and membranes. • It is unclear how cells regulate plasma membrane-condensate interactions to optimize signal transduction.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".