E-cadherin, catenin, cytoskeletal interactions and induced pluripotency
Bibliographic record
Abstract
Pluripotency is defined as the capability of cells to differentiate into cell types derived from each of the three embryonic germ layers (Kelly et al., 2011). Induced pluripotency defines a process of epigenetic reprogramming in which epigenetic changes implemented during differentiation are reversed to generate cells with a stem-like phenotype. Fibroblasts (Takahashi and Yamanaka, 2006; Sommer et al., 2009), human keratinocytes (Aasen et al., 2008) and nasal mucosal cells (Ono et al., 2012) can be reprogrammed to stem-like cells with introduction of four stem cell transcription factors Oct4, KLF4, Sox2 and c-Myc (OKSM). Previous studies have provided evidence that the adhesion and cellular signaling provided by a glycoprotein, known as E-cadherin, has essential functions in pluripotency. Induced pluripotency has potential medical application which the induced pluripotent stem cells (iPSCs) apply as clinical tools for modeling diseases, drug development, and to deliver cell-replacement therapy to support regenerative medicine (Goldthwaite, 2011).The present review summarizes our current knowledge on the role of E-cadherin, its cellular signaling and cytoskeletal interactions in the induction and maintenance of pluripotent cells.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 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".