Unique effects of Stat3 on the early phase of hematopoietic stem cell regeneration
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
Self-renewal of hematopoietic stem cells (HSCs) is key to their reconstituting ability, but the signaling pathways that regulate this process remain poorly understood. Here we show that transduction of adult mouse bone marrow cells with a constitutively activated form of Stat3 (Stat3-C) increased their regenerative activity in lethally irradiated recipients. Conversely, transduction of these cells with a dominant-negative form of Stat3 suppressed their regenerative activity. Serial transplantation and clonal tracking of the HSC progeny regenerated in vivo from STAT3-C-transduced HSCs demonstrated that the major effect of forced expression of STAT3-C was to enhance HSC self-renewal during the initial phase of hematopoietic recovery. This acquired potential for enhanced self-renewal divisions then became latent, but was reactivated when the cells were transferred to new irradiated recipients. Increased levels of activated STAT3 were also found to be associated with greater preservation of primitive hematopoietic cells in short-term cultures. These results indicate a novel biphasic regulation of HSC self-renewal in vivo in which activated STAT3 promotes HSC self-renewal under stimulated, but not homeostatic, conditions. STAT3 may thus be an important regulator of hematopoietic regeneration and a novel target for HSC engineering.
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.
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