Differentiation and Characterization of Dendritic Cells from Human Embryonic Stem Cells
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Human embryonic stem cells (hESCs) offer great hope in regenerative medicine. Their ability to give rise to almost any type of cell present in the adult body makes them an invaluable tool in finding cures for a variety of diseases. While considerable protocols have been devised to efficiently differentiate hESCs into various cells types including cells of hematopoietic origin, this protocol will focus on the derivation of dendritic cells (DC), a potent antigen-presenting cell. DCs are a highly important arm of the immune system, as they represent one of the few cells that bridge the innate and adaptive systems, leading to effective pathogen clearance. The study of DCs has led to potential applications in diverse fields, such as vaccine development, tumor immunology, and transplantation. In this protocol, we describe two different methods of differentiating hESCs into DCs. The first method uses OP9 bone marrow stromal supporting cells as a coculture system, while the second method utilizes the formation of embryoid body (EB, cellular aggregate) as an approach. To assure the successful outcome and subsequent assessment of the differentiated DCs, supporting protocols have been included in this chapter.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it