Visualization of Galectin-3 Oligomerization on the Surface of Neutrophils and Endothelial Cells Using Fluorescence Resonance Energy Transfer
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Galectin-3, a member of the galectin family of carbohydrate binding proteins, is widely expressed, particularly in cells involved in the immune response. Galectin-3 has also been indicated to play a role in various biological activities ranging from cell repression to cell activation and adhesion and has, thus, been recognized as an immunomodulator. Whereas those activities are likely to be associated with ligand cross-linking by this lectin, galectin-3, unlike other members of the galectin family, exists as a monomer. It has consequently been proposed that oligomerization of the N-terminal domains of galectin-3 molecules, after ligand binding by the C-terminal domain, is responsible for this cross-linking. The oligomerization status of galectin-3 could, thus, control the majority of its extracellular activities. However, little is known about the actual mode of action through which galectin-3 exerts its function. In this report we present data suggesting that oligomerization of galectin-3 molecules occurs on cell surfaces with physiological concentrations of the lectin. Using galectin-3 labeled at the C terminus with Alexa 488 or Alexa 555, the oligomerization between galectin-3 molecules on cell surfaces was detected using fluorescence resonance energy transfer. We observed this fluorescence resonance energy transfer signal in different biological settings representing the different modes of action of galectin-3 that we previously proposed; that is, ligand crosslinking leading to cell activation, cell-cell interaction/adhesion, and lattice formation. Furthermore, our data suggest that galectin-3 lattices are robust and could, thus, be involved, as previously proposed, in the restriction of receptor clustering.
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.
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