ArticleCurrent biology : CB2020
Cell Division: Interkinetic Nuclear… Mechanics.
Article in Current biology : CB, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Generation of Neural Organoids and Their Application in Disease Modeling and Regenerative Medicine.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Cell cycle dynamics control fluidity of the developing mouse neuroepithelium.Nature physics · 2023Article
- Mechanical constraints to cell-cycle progression in a pseudostratified epithelium.Current biology : CB · 2022Article
Corrections and comments
- Comment on
Authors and funding
2 authors.
Funding
Abstract
New work reveals that interkinetic nuclear migration - the movement of nuclei towards the apical surface of dividing epithelial cells - is mechanically regulated, relying on a balance of forces between the mitotic cell and the surrounding tissue.
Indexed as
Identifiers
32634414What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.