Regulation of thymocyte β-selection, development and positive selection by glycogen synthase kinase-3
Bibliographic record
Abstract
Abstract Glycogen synthase kinase-3 (GSK-3) is a ubiquitously expressed serine/threonine kinase, that exists as two isoforms in mammals, GSK-3α and GSK-3β, that are key downstream mediators of the phosphatidylinositol 3’ kinase, Wnt, Notch and other pathways. Here, we report that simultaneous inactivation of both GSK-3α and GSK-3β during early thymocyte ontogeny has profound effects on both β-selection and positive selection, key checkpoints essential to producing functionally mature αβ T cells. Conditional GSK-3α/β knockout animals (LckCre + GSK-3αβ fl/fl ) possessed pre-double positive (pre-DP) thymocytes (CD4 − CD8 − CD117 − CD25 − ) with compromised TCRβ chain expression along with elevated levels of β-catenin and reduced Notch activity. β-selection was impaired allowing pre-DP thymocytes to differentiate to DP thymocytes (CD4 + CD8 + ) while bypassing strict requirements for productive TCRβ chain rearrangements and functional expression. Also impaired was the requisite pre-TCR and Notch-mediated expansion that normally precedes differentiation to the DP stage. Consequently, LckCre + GSK-3αβ fl/fl mice initially generated fewer DP thymocytes that expressed significantly reduced levels of mature TCR. The aberrant DP thymocytes expressed high levels of the pro-survival Bcl-2 family member Mcl-1, failed positive selection and accumulated as CD4 hi CD8 lo positive selection intermediates resulting in loss of both mature CD4 and CD8 lineages. LckCre + GSK-3αβ fl/fl mice succumbed to oligoclonal peripheral lymphomas with high penetrance. These data reveal essential roles for GSK-3 in several checkpoints of early T cell development.
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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 | 0.000 |
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 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".