Development of three dimensional culture and expression of integrin heterodimers in human embryonic stem cells
Bibliographic record
Abstract
Extensive effort has been made to develop a three-dimensional (3D) system for the culture of pluripotent stem cells in human and model animals, which yields lots of benefits for monitoring cell-to-cell or cell-to-environment interaction and for suggesting alternative materials for clinical cases. Initial study using animal model moved toward supporting embryonic stem cells (ESCs) self-renewal in a synthetic scaffold conjugated with suitable peptide motifs. As results, the feeder-free, 3D acellular niche consisting of vinyl sulfone (VS)-functionalized polyethylene glycol (PEG)-based hydrogel binding with extracellular matrix analogs could support ESC self-renewal, but main stemness signals were switched in the 3D environment. We employed this PEG-based hydrogel for 3D culture of human ESCs and further adjustment of hydrogel constituent made it possible to support self-renewal of three ESC lines. In this study, we examined transcriptional and translational activity of integrin heterodimers for optimizing the 3D system by using peptide motifs and subsequently elucidated that transcription and translation of integrin α 5β 1, α 6β 1 and αVβ 5 were stronger than other heterodimers in a referenced human ESC line.
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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 | 0.000 | 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) | 0.001 | 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".