Interaction between the Human Mitochondrial Import Receptors Tom20 and Tom70 in Vitro Suggests a Chaperone Displacement Mechanism
Bibliographic record
Abstract
The mitochondrial import receptor Tom70 contains a tetratricopeptide repeat (TPR) clamp domain, which allows the receptor to interact with the molecular chaperones, Hsc70/Hsp70 and Hsp90. Preprotein recognition by Tom70, a critical step to initiate import, is dependent on these cytosolic chaperones. Preproteins are subsequently released from the receptor for translocation across the outer membrane, yet the mechanism of this step is unknown. Here, we report that Tom20 interacts with the TPR clamp domain of Tom70 via a conserved C-terminal DDVE motif. This interaction was observed by cross-linking endogenous proteins on the outer membrane of mitochondria from HeLa cells and in co-precipitation and NMR titrations with purified proteins. Upon mutation of the TPR clamp domain or deletion of the DDVE motif, the interaction was impaired. In co-precipitation experiments, the Tom20-Tom70 interaction was inhibited by C-terminal peptides from Tom20, as well as from Hsc70 and Hsp90. The Hsp90-Tom70 interaction was measured with surface plasmon resonance, and the same peptides inhibited the interaction. Thus, Tom20 competes with the chaperones for Tom70 binding. Interestingly, antibody blocking of Tom20 did not increase the efficiency of Tom70-dependent preprotein import; instead, it impaired the Tom70 import pathway in addition to the Tom20 pathway. The functional interaction between Tom20 and Tom70 may be required at a later step of the Tom70-mediated import, after chaperone docking. We suggest a novel model in which Tom20 binds Tom70 to facilitate preprotein release from the chaperones by competition.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".