Bibliographic record
Abstract
GTPases are central hubs for directing cytoskeletal reorganization and cell migration. The DOCK family enforces positive regulation of certain GTPases, leading to their activation in discrete areas of the cell. ELMO, a well-known DOCK180 binding partner, has been cast with the role of potentiating DOCK180-mediated Rac activation. Exactly how ELMO contributes to Rac signaling is only beginning to be understood. Here, we discuss our most recent research investigating ELMO regulation of the DOCK180/Rac pathway. Interestingly, we found that ELMO is autoinhibited via intramolecular contacts at basal levels and we explore the novel domains that we identified at the heart of the auto-regulatory switch. We propose that the closed ELMO molecule masks protein-protein interfaces or domains with novel uncharacterized function; cell stimulation and GTPase binding to ELMO is proposed to activate (open) the protein and/or target the ELMO/DOCK180 complex to the cell membrane. In this manner, promiscuous signaling/activity downstream of ELMO/DOCK180 can be controlled for both spatially and temporally. Additionally, we report new data highlighting that DOCK proteins can form heterodimers, and we discuss possible mechanisms that could be implicated in controlling the ELMO activation state.
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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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".