Integrins as mediators of epithelial cell-matrix interactions in the human small intestinal mucosa
Bibliographic record
Abstract
The intestinal epithelium is a highly dynamic tissue, which depends on a variety of factors for the regulation of its rapid renewal and expression of digestive functions. Over the last 10 years, it has become evident that among these factors are cell interactions with the extracellular matrix, more specifically with the underlying basement membrane, through a series of specific cell membrane receptors, many of which are integrins. Integrins regulate the assembly of adhesive junctions as well as the activation of various signaling pathways, leading to the modulation of gene expression. The analysis of the integrin repertoire along the crypt-villus axis in the human small intestinal epithelium identifies a number of beta1 and beta4 integrins, showing differential patterns of expression relative to its two functional compartments. Among them are the integrins alpha3beta1, alpha7Bbeta1 and the functional form of alpha6beta4 that appear to be related, in concert with the distribution of their ligands, to the process of intestinal cell differentiation, and the integrins alpha2beta1, alpha1beta1, alpha5beta1, and the non-functional form of alpha6beta4 that seem to be coupled with the undifferentiated/proliferative status of crypt cells. These observations delineate the potential complexity of the organization of epithelial cell-matrix interactions involved in the maintenance of the human intestinal crypt-villus axis.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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".