Live Imaging and Analysis of Cilia and Cell Cycle Dynamics with the Arl13bCerulean-Fucci2a Biosensor and Fucci Tools
Bibliographic record
Abstract
The cell and cilia cycles are inextricably linked through the dual functions of the centrioles at both the basal body of cilia and at mitotic centrosomes. How cilia assembly and disassembly, either through slow resorption or rapid deciliation, are coordinated with cell cycle progression remains unclear in many cell types and developmental paradigms. Moreover, little is known about how additional cilia parameters including changes in ciliary length or frequency of distal tip shedding change with cell cycle stage. In order to explore these questions, we have developed the Arl13bCerulean-Fucci2a tricistronic cilia and cell cycle biosensor (Ford et al., Dev Cell 47:509-523.e7, 2018). This reporter allowed us to document the heterogeneity in ciliary behaviors during the cell cycle at a population level. Without the need for external stimuli, it revealed that in several cell types and in the developing embryo cilia persist beyond the G1/S checkpoint. Here, we describe the generation of stable cell lines expressing Arl13bCerulean-Fucci2a and open-source software to aid morphometric profiling of the primary cilium with cell cycle phases, including changes in cilium length. This resource will allow the investigation of multiple morphometric questions relating to cilia and cell cycle biology.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".