ReviewJournal of cell science2026
Transcription clusters and developmental pathways - nature, nurture, noise.
Review in Journal of cell science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
Establishing how the genomic DNA sequence determines cell fate is a grand challenge in biology. It is usually approached from the viewpoint that each gene is transcribed independently of others. However, there is increasing evidence that clusters of RNA polymerases (variously referred to as transcription factories, condensates and hubs) make most RNA. Here, I use this cluster-based view to present alternative approaches to the grand challenge of linking DNA sequence and cell fate. Artificial intelligence-based tools are driving stunning advances in predicting transcriptional outputs, which in turn direct cell fates; however, they are limited by the curses of dimensionality, data sparsity and understandability. I explore how these AI tools could be used to exploit under-appreciated but information-rich inputs provided by DNA:DNA contacts in clusters.
Indexed as
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What Socratic 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 Socratic graph.