Characterization of the activation of small GTPases by their GEFs on membranes using artificial membrane tethering
Bibliographic record
Abstract
Active, GTP-bound small GTPases need to be attached to membranes by post-translational lipid modifications in order to process and propagate information in cells. However, generating and manipulating lipidated GTPases has remained difficult, which has limited our quantitative understanding of their activation by guanine nucleotide exchange factors (GEFs) and their termination by GTPase-activating proteins. Here, we replaced the lipid modification by a histidine tag in 11 full-length, human small GTPases belonging to the Arf, Rho and Rab families, which allowed to tether them to nickel-lipid-containing membranes and characterize the kinetics of their activation by GEFs. Remarkably, this strategy uncovered large effects of membranes on the efficiency and/or specificity in all systems studied. Notably, it recapitulated the release of autoinhibition of Arf1, Arf3, Arf4, Arf5 and Arf6 GTPases by membranes and revealed that all isoforms are efficiently activated by two GEFs with different regulatory regimes, ARNO and Brag2. It demonstrated that membranes stimulate the GEF activity of Trio toward RhoG by ∼30 fold and Rac1 by ∼10 fold, and uncovered a previously unknown broader specificity toward RhoA and Cdc42 that was undetectable in solution. Finally, it demonstrated that the exceptional affinity of the bacterial RabGEF DrrA for the phosphoinositide PI(4)P delimits the activation of Rab1 to the immediate vicinity of the membrane-bound GEF. Our study thus validates the histidine-tag strategy as a potent and simple means to mimic small GTPase lipidation, which opens a variety of applications to uncover regulations brought about by membranes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".