Generation of Artificial Blastoids Combining miR-200-Mediated Reprogramming and Mechanical Cues
Bibliographic record
Abstract
In vitro-generated blastocyst-like structures are of great importance since they recapitulate specific features or processes of early embryogenesis, thus avoiding ethical concerns as well as increasing scalability and accessibility compared to the use of natural embryos. Here, we combine cell reprogramming and mechanical stimuli to create 3D spherical aggregates that are phenotypically similar to those of natural embryos. Specifically, dermal fibroblasts are reprogrammed, exploiting the miR-200 family property to induce a high plasticity state in somatic cells. Subsequently, miR-200-reprogrammed cells are either driven towards the trophectoderm (TR) lineage using an ad hoc induction protocol or encapsulated into polytetrafluoroethylene micro-bioreactors to maintain and promote pluripotency, generating inner cell mass (ICM)-like spheroids. The obtained TR-like cells and ICM-like spheroids are then co-cultured in the same micro-bioreactor and, subsequently, transferred to microwells to encourage blastoid formation. Notably, the above protocol was applied to fibroblasts obtained from young as well as aged donors, with results that highlighted miR-200's ability to successfully reprogram young and aged cells with comparable blastoid rates, regardless of the donor's cell age. Overall, the approach here described represents a novel strategy for the creation of artificial blastoids to be used in the field of assisted reproduction technologies for the study of peri- and early post-implantation mechanisms.
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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 | 0.001 |
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".