Ninein isoform contributions to intracellular processes and macrophage immune function
Bibliographic record
Abstract
Ninein is a multifunctional protein involved in microtubule (MT) organization and dynein/dynactin complex recruitment and activation. Several isoforms of ninein have been identified in various tissues, however, their relative contribution(s) are not clear. Here, we identify two ninein isoforms in mouse macrophages with distinct C-termini and disproportionate expression levels; a canonical ninein (ninein CAN ) isoform and ninein isoform 2 (ninein ISO2 ). Analysis of ninein pre-mRNA exon-intron boundaries revealed that ninein ISO2 transcript is likely generated by two alternative splicing site selection events predicted to result in a distinct 3D structure compared to ninein CAN . We used selective and total protein knockdown experiments to assess the intracellular and functional roles of ninein in macrophages. Live cell imaging analyses of macrophages implicated both isoforms in regulating cell proliferation. MT regrowth following nocodazole depolymerization showed that both isoforms contributed to MT nucleation and structural integrity of the centrosome, as cells lacking ninein CAN or ninein ISO2 contained multiple ectopic γ -tubulin foci. However, ninein CAN , but not ninein ISO2 , was important for the separation of duplicated centrosomes during cell division. Despite a requirement of both ninein isoforms to recruit dynein/dynactin to the centrosome, only ninein CAN was required for Golgi positioning and morphology, dynein-dependent events. We additionally found that ninein ISO2 was the primary isoform required for F-actin recruitment during the internalization of IgG-opsonized particles. Our study indicates that alternative splicing promotes both redundant and differential activities for ninein in MT organization, organelle positioning, and macrophage function.
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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".