ArticleThe Journal of investigative dermatology2013
Nuclear topology, epigenetics, and keratinocyte differentiation.
Article in The Journal of investigative dermatology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Combining advanced 3D spheroid-based skin models with deep-learning-based image analysis enables in-depth investigation of keratinocyte differentiation and barrier function.Frontiers in bioengineering and biotechnology · 2026Article
Corrections and comments
- Comment on
Authors and funding
3 authors.
Funding
Abstract
Recent progress in epigenetics reveals dynamic chromatin interactions in the nucleus during development, regeneration, reprogramming, and in disease. Higher-order chromatin organization is manifested as changes in the topological distribution of eu-/heterochromatin and in nuclear morphology. We are now able to gain new knowledge about these changes at the genomic level.
Indexed as
Identifiers
23949766What 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.