Timing dependent neuronal migration is regulated by Cdk5-meidated phosphorylation of JIP1
Bibliographic record
Abstract
Abstract The evolution of the mammalian brain, particularly the cerebral cortex, is characterized by an increase in size and complexity. Proper development of the cerebral cortex involves several coordinated events such as differentiation and migration, which plays a critical role in establishing a precise six-layered architecture. Our previous study has shown that phosphorylation of JIP1 at T205 by Cdk5 affects the axonal outgrowth. However, the spatiotemporal expression patterns and functions of these three genes in different cell types during cortical development are not well understood. In this study, we interrogated single-cell RNA-sequencing (scRNA-seq) data of mouse embryonic cortex and revealed that Cdk5, Cdk5r1 (p35) and Mapk8ip1 (JIP1) are dynamically expressed in intermediate progenitors (IPs). Pseudotime analysis showed that the expression of these three genes increased simultaneously in IPs during neuronal migration and differentiation. By manipulating the expression of JIP1 and phospho-mimic JIP1 using in utero electroporation, we demonstrated that phosphorylated JIP1 at T205 influenced the temporal migration of neurons. Taken together with previous findings that phospho-JIP1 at T205 regulates axonal growth, our study reveals a mechanism by which Cdk5, p35, and JIP1 coordinate to regulate neuron specification in the developing neocortex.
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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".