ReviewCell regeneration (London, England)2017
Genomic and molecular control of cell type and cell type conversions.
Review in Cell regeneration (London, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Multi-omics characterization of chronic social defeat stress recall-activated nuclei in Arc-GFP mice.Molecular psychiatry · 2026Article
- Evolutionary conservation and divergence of phagocytic and coagulation programs across bilaterian circulating immune cells.Molecular biology and evolution · 2026Article
- BRD8 Guards the Pluripotent State by Sensing and Maintaining Histone Acetylation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Low RNA stability signifies increased post-transcriptional regulation of cell identity genes.Nucleic acids research · 2023Article
- Probabilistic boolean networks predict transcription factor targets to induce transdifferentiation.iScience · 2022Article
- Single-cell RNA sequencing of theeLife · 2021Article
- Chromatin and Epigenetic Rearrangements in Embryonic Stem Cell Fate Transitions.Frontiers in cell and developmental biology · 2021Review
- Computational Methods for Mapping, Assembly and Quantification for Coding and Non-coding Transcripts.Computational and structural biotechnology journal · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Organisms are made of a limited number of cell types that combine to form higher order tissues and organs. Cell types have traditionally been defined by their morphologies or biological activity, yet the underlying molecular controls of cell type remain unclear. The onset of single cell technologies, and more recently genomics (particularly single cell genomics), has substantially increased the understanding of the concept of cell type, but has also increased the complexity of this understanding. These new technologies have added a new genome wide molecular dimension to the description of cell type, with genome-wide expression and epigenetic data acting as a cell type 'fingerprint' to describe the cell state. Using these genomic fingerprints cell types are being increasingly defined based on specific genomic and molecular criteria, without necessarily a distinct biological function. In this review, we will discuss the molecular definitions of cell types and cell type control, and particularly how endogenous and exogenous transcription factors can control cell types and cell type conversions.
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What 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.