Single‐molecule localization microscopy of septin bundles in mammalian cells
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Bibliographic record
Abstract
Septins are a conserved family of GTPases that associate with numerous components of the cytoskeleton and the inner leaflet of the plasma membrane. These proteins are involved in many biological processes, including cell division and membrane trafficking, and serving as a scaffolding component of the cytoskeleton used to recruit other proteins and form diffusion barriers to maintain the composition of membrane domains. In order to carry out their cellular functions, septins undergo interactions via their NC or G interfaces to form heteromeric rod-like structures that can polymerize into filaments and associate laterally into bundles. While electron microscopy studies of affinity-tagged and purified Saccharomyces cerevisiae septin complexes have provided evidence for this periodic organization and in-registry lateral bundling in vitro, the in-vivo arrangement of stress fiber-associated septin bundles in mammalian cells remains poorly characterized. We report here on a direct stochastic optical reconstruction microscopy and photoactivated localization microscopy study of the 2D spatial distribution of septins in mammalian cells. From simulated and experimental results, we show the effects of labeling method, labeling efficiency, and fluorescent emitter photophysics on image reconstruction and interpretation. Our experimental results are consistent with septin organization by polymerization of hetero-octamers and an approximate 30-35 nm periodicity between subsequent units of SEPT2-SEPT2 or SEPT9-SEPT9.
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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 it