Evidence map›Paper›PMID 27616569›Full record

ReviewNature reviews. Genetics2016

Transition states and cell fate decisions in epigenetic landscapes.

Naomi Moris, Cristina Pina, Alfonso Martinez Arias

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 239 papers.

0numbers the graph read from it
0cells of the map it votes in
239citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

239 citing papers in PubMed.

  1. Trial
  2. Review
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  9. Review
  10. AbioRxiv : the preprint server for biology · 2026
    Article
  11. The molecular asynchrony of single cells.bioRxiv : the preprint server for biology · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

179 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Naomi MorisDepartment of Genetics, University of Cambridge, Cambridge CB2 3EH, UK.
Cristina PinaDepartment of Haematology, University of Cambridge, Cambridge CB2 0PT, UK.
Alfonso Martinez AriasDepartment of Genetics, University of Cambridge, Cambridge CB2 3EH, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Waddington's epigenetic landscape is an abstract metaphor frequently used to represent the relationship between gene activity and cell fates during development. Over the past few years, it has become a useful framework for interpreting results from single-cell transcriptomics experiments. It has led to the proposal that, during fate transitions, cells experience smooth, continuous progressions of global transcriptional activity, which can be captured by (pseudo)temporal dynamics. Here, focusing strictly on the fate decision events, we suggest an alternative view: that fate transitions occur in a discontinuous, stochastic manner whereby signals modulate the probability of the transition events.

Indexed as

AnimalsCell DifferentiationCell LineageComputational BiologyEpigenesis, GeneticHumansModels, GeneticStochastic Processes

Identifiers

PMID27616569

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.