골수 단핵세포의 거핵구 집락 배양에 대한 조혈성장인자의 효과
Bibliographic record
Abstract
In vitro colony assay procedures for expansion of human erythroid and granulocyte-macrophage progenitors have been used for many years. However,the development of reproducible assay method for human megakaryocyte (MK) progenitors considerably lagged behind. Cytokines such as stem cell factor (SCF), thrombopoietin (TPO), IL—6 and IL-11 have been demonstrated to have effects on the production of colony forming units (CFU)-MK. This study was undertaken to investigate the ex vivo expansion of megakaryocyte progenitors, derived from mononuclear cells of normal tone marrow. Bone marrow mononuclear cells were incubated in serum-free medium (MegaCult™, Stem Cell Technologies, Vancouver, Canada) and supplemented with SCF, granulocyte-colonystimulating factor (G-CSF), TPO, IL-11, combinations of SCF + G- CSF + TPO and SCF + G-CSF + TPO + IL-11. The effect of hematopoietic growth factors on ex vivo expansion of megakaryocyte progenitor cells was evaluated. These cytokines were able to generate of CFU-MK in the media and to increase megakaryocyte colony formation: Numbers of pure MK colonies increased in the media supplemented with SCF, IL-11 and combination of cytokines. Mixed MK colonies also increased in the media supplemented with SCF, G-CSF and combination groups.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".