Manipulation of adult bone marrow derived stem and progenitor cell population. Dynamics in suspension culture
Bibliographic record
Abstract
Summary form only given. Hematopoietic and non-hematopoietic (mesenchymal) stem and progenitor cells are typically present in vivo in close association with each other. A major bottleneck in the use of these and other adult human-derived stem cells for therapeutic applications is the recognized inability to use them to generate sufficient numbers of functional cells. Manipulation of the culture microenvironment through growth factor supplementation, adherent cell culture, and/or co-culture on adherent feeder cells, have been the predominant approaches in studies attempting to adult derived stem cells. While promising results have been obtained, it is becoming clear that novel methods and approaches must be developed to understand the fundamental mechanisms that regulate adult stem cell proliferation and differentiation in vitro. Ideally, bioprocesses must be designed to specifically target progenitor cell growth while incorporating positive and negative feedback from potentially dynamic mature and maturing cell populations. This presentation reviews our progress towards the design of suspension culture systems for the growth of hematopoietic and non-hematopoietic stem and progenitor 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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".