Evidence map›Paper›PMID 28529337›Full record

ReviewNature reviews. Genetics2017

Dynamic chromatin technologies: from individual molecules to epigenomic regulation in cells.

Olivier Cuvier, Beat Fierz

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Single-Molecule Tracking of Chromatin-Associated Proteins in theThe journal of physical chemistry. B · 2021
    Article
  20. Review
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

2 authors.

Olivier CuvierLaboratoire de Biologie Moléculaire des Eucaryotes (LBME), Center for Integrative Biology (CBI), Universite Paul Sabatier Toulouse III, CNRS, Bâtiment IBCG, 31062 Toulouse, France.
Beat FierzLaboratory of Biophysical Chemistry of Macromolecules (LCBM), Institute of Chemical Sciences and Engineering (ISIC), École Polytechnique Fédérale de Lausanne, CH B3 485, Station 6, CH-1015 Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The establishment and maintenance of chromatin states involves multiscale dynamic processes integrating transcription factor and multiprotein effector dynamics, cycles of chemical chromatin modifications, and chromatin structural organization. Recent developments in genomic technologies are emerging that are enabling a view beyond ensemble- and time-averaged properties and are revealing the importance of dynamic chromatin states for cell fate decisions, differentiation and reprogramming at the single-cell level. Concurrently, biochemical and single-molecule methodologies are providing key insights into the underlying molecular mechanisms. Combining results from defined in vitro and single-molecule studies with single-cell genomic approaches thus holds great promise for understanding chromatin-based transcriptional memory and cell fate. In this Review, we discuss recent developments in biochemical, single-molecule biophysical and single-cell genomic technologies and review how the findings from these approaches can be integrated to paint a comprehensive picture of dynamic chromatin states.

Indexed as

ChromatinEpigenomicsGenomicsSingle-Cell AnalysisChromatin

Identifiers

PMID28529337

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.