Two dimensional crystallization of calcium transport regulatory complexes
Bibliographic record
Abstract
Phospholamban and sarcolipin physically interact with the sarcoplasmic reticulum calcium pump (SERCA) and differentially regulate contractility in smooth, skeletal, and cardiac muscle. While mutagenesis and cross-linking studies have provided insight into the mechanism of interaction, we lack a molecular understanding of these regulatory complexes. We have compared two crystal forms of SERCA in the absence and presence of phospholamban by electron cryo-microscopy. Our previous studies with phospholamban utilized both small helical crystals [1] and large two-dimensional crystals [2], where the fundamental units of both crystal forms were found to be anti-parallel dimer ribbons of SERCA molecules. The SERCA dimer ribbons have been known for decades as a rigid assembly of calcium-free SERCA molecules induced by the addition of decavanadate. While the lattice formed by the SERCA dimer ribbons is different in the helical (p2) and two-dimensional crystals (p22121), we now show that a phospholamban oligomer interacts with SERCA in a similar manner in both crystal types. With this information, we next undertook a structural investigation of SERCA and sarcolipin in the large two-dimensional crystals. Both wild-type and a gain-of-function mutant (Asn4-to-Ala) mutant of sarcolipin were utilized. Projection maps were determined for SERCA in the presence of sarcolipin to a resolution of 8.5 Å and were most consistent with a pentameric state for sarcolipin. While both phospholamban and sarcolipin interacted with transmembrane segment M3 of SERCA, the interaction of the sarcolipin pentamer was mediated by an additional density consistent with a sarcolipin monomer.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".