Poster — Thur Eve — 38: The Effect of Ionizing Radiation on Giant Unilamellar Vesicles of “Lipid Raft” Mixtures Examined by Confocal Fluorescence Microscopy
Bibliographic record
Abstract
The effect of ionizing radiation on model membranes has been the focus of various studies since the discovery of radioactivity. Spectroscopic techniques, such as X‐ray diffraction, electron spin resonance, and fluorescence spectroscopy, yielded insight into radiation‐induced physico‐chemical changes in model membranes. However, direct visualization of the radiation‐induced damage in model membrane systems was not possible before the advent of giant unilamellar vesicles. We describe a method of examining radiation‐induced visible, physical changes in giant unilamellar vesicles consisting of a single bilayer, along with details of a possible reorganization of “lipid raft” domains. We used mixtures of phospholipids and cholesterol for which the phase behaviour is known and the contrast between the different lipid phases was achieved by using two well characterized fluorescent probes: Texas Red 1,2‐dihexadecanoyl‐sn‐glycero‐3‐phosphoethanolamine (TR‐DPPE), and 1,2‐dipalmitoyl‐sn‐glycero‐3‐phosphoethanolamine‐N‐(7‐nitro‐2‐1,3‐benzoxadiazol‐4‐yl) (NBD‐DPPE). Samples were irradiated with a 137Cs gamma ray source at dose rates ranging from ∼0.3 Gy/min to ∼0.7 Gy/min and doses of 1 Gy to 30 Gy. The radiation‐induced effects were examined at 15 minutes to ∼24 hours after irradiation, which is within the stability period of the giant unilamellar vesicles. We observed substantial aggregation of vesicles, and vesicles transitioned from a spherical to an elongated shape with bending points at the boundaries of “lipid raft” domains. Although giant unilamellar vesicles do not contain genetic material, it seems likely that by incorporating membrane proteins, questions pertaining to different cellular processes such as signal transduction and apoptosis induced by radiation could be addressed.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.005 |
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".