Molecular Mechanisms of Axis Development: Insights from Cilia Biology
Bibliographic record
Abstract
Axis development is a critical biological process in the development of multicellular organisms, with cilia playing an important role. Cilia are small hair-like structures on the cell surface that are involved in various cellular activities, including signal transduction, cell movement, and sensing environmental signals. Studies have shown that cilia play a crucial regulatory role in the formation of the left-right and anterior-posterior axes by modulating morphogen gradients and signaling pathways such as Nodal, Wnt, and Hedgehog, thereby influencing gene expression and cell fate determination. This research systematically reviews the molecular mechanisms of cilia in axis development, exploring their specific roles in left-right asymmetry and anterior-posterior patterning, and analyzing related key genes and proteins. Additionally, the study introduces experimental models and techniques used in cilia research, discusses the impact of cilia dysfunction (ciliopathies) on developmental defects and their genetic basis. By summarizing current research progress and existing technical challenges, this research aims to provide guidance for future studies, promoting further breakthroughs in developmental biology and clinical treatment.
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.
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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".