Stromal Interaction Molecule (STIM) 1 and STIM2 Calcium Sensing Regions Exhibit Distinct Unfolding and Oligomerization Kinetics
Bibliographic record
Abstract
Stromal interaction molecules (STIM) 1 and STIM2 are regulators of store-operated calcium (Ca(2+)) entry as well as basal cytoplasmic Ca(2+) levels in human cells. Despite a high sequence similarity (>65%) and analogous sequence-based domain architectures, STIM1 and STIM2 differentially influence these phenomena. Among all eukaryotes, the endoplasmic reticulum luminal portion of STIM proteins minimally encode EF-hand and sterile alpha-motif (SAM) domains (EF-SAM), which are responsible for sensing changes in Ca(2+) levels and initiating oligomerization. STIM oligomerization is a key induction step in the activation of Ca(2+)-permeable channels on the plasma membrane. Here, we show that the kinetic half-time of conversion from a monomeric to a steady oligomeric state is >70x shorter for STIM1 EF-SAM than STIM2 under similar conditions. Urea-induced rates of unfolding for STIM1 EF-SAM are >3x quicker when compared with STIM2, coherent with partial unfolding-coupled aggregation. Additionally, we demonstrate that the isoform-specific N-terminal residues beyond EF-SAM can influence the stability of this region. We postulate that distinct oligomerization dynamics of STIM isoforms have evolved to adapt to differential roles in Ca(2+) homeostasis and signaling.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".