Evidence map›Paper›PMID 27791097›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Stable

Kenneth J Evans, Ni Huang, Przemyslaw Stempor, Michael A Chesney, Thomas A Down, Julie Ahringer

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
6.3field-weighted citation impact, top 3% of its field
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

50 citing papers in PubMed, 111 citations in OpenAlex.

  1. Article
  2. Review
  3. The Binding Landscape of an Essential Nuclear Hormone Receptor inbioRxiv : the preprint server for biology · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Cohesin organizes 3D DNA contacts surrounding active enhancers inbioRxiv : the preprint server for biology · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

6 authors at 2 institutions in 1 country.

Kenneth J EvansDepartment of Genetics, The Gurdon Institute, University of Cambridge, Cambridge CB2 1QN, United Kingdom.
Ni HuangDepartment of Genetics, The Gurdon Institute, University of Cambridge, Cambridge CB2 1QN, United Kingdom.
Przemyslaw StemporDepartment of Genetics, The Gurdon Institute, University of Cambridge, Cambridge CB2 1QN, United Kingdom.
Michael A ChesneyDepartment of Genetics, The Gurdon Institute, University of Cambridge, Cambridge CB2 1QN, United Kingdom.
Thomas A DownDepartment of Genetics, The Gurdon Institute, University of Cambridge, Cambridge CB2 1QN, United Kingdom.
Julie AhringerDepartment of Genetics, The Gurdon Institute, University of Cambridge, Cambridge CB2 1QN, United Kingdom ja219@cam.ac.uk.
University of Cambridge · GBWellcome/Cancer Research UK Gurdon Institute · GB

Funding

Wellcome Trust 054523Wellcome Trust 083563Wellcome Trust 101863
6 · The paper itself

Abstract

Eukaryotic genomes are organized into domains of differing structure and activity. There is evidence that the domain organization of the genome regulates its activity, yet our understanding of domain properties and the factors that influence their formation is poor. Here, we use chromatin state analyses in early embryos and third-larval stage (L3) animals to investigate genome domain organization and its regulation in

Indexed as

boundaryC. eleganschromatin domainschromatin states

Identifiers

PMID27791097
PMCPMC5111720
OpenAlexW2532937293

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.