Non-integrin laminin receptors in epithelia
Bibliographic record
Abstract
The interactions between cells and the extracellular matrix (ECM) play a major role in normal and pathological conditions. The ECM can modulate several biological functions including cell proliferation, adhesion, differentiation and survival through its interactions with cell receptors. Laminins are one of the most important glycoproteins present in basement membranes, a type of ECM. The pattern of expression of its different isoforms depends on the spatiotemporal organization of each tissue. While integrins are the most studied laminin receptors, other non-integrin laminin receptors are also involved. This review focuses on two particular non-integrin laminin receptors in the epithelial context: dystroglycan and 37/67 laminin receptor (37/67LR). Dystroglycan is a two-subunit protein discovered in the muscle as part of the dystrophin-associated glycoprotein complex. This protein can also be found in many epithelia where its roles are variable. The 37/67LR is a still incompletely understood laminin receptor that is important to regulate intestinal epithelial cell function and could be involved in various pathological conditions.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".