Evidence map›Paper›PMID 20816047›Full record

ArticleBiophysical journal2010

Localization microscopy reveals expression-dependent parameters of chromatin nanostructure.

Manfred Bohn, Philipp Diesinger, Rainer Kaufmann, Yanina Weiland, Patrick Müller, Manuel Gunkel, Alexa von Ketteler, Paul Lemmer, Michael Hausmann, Dieter W Heermann and 1 more

Abstract read
In one paragraph

Article in Biophysical journal, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Inter-nucleosomal potentials from nucleosomal positioning data.The European physical journal. E, Soft matter · 2022
    Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Superresolution intrinsic fluorescence imaging of chromatin utilizing native, unmodified nucleic acids for contrast.Proceedings of the National Academy of Sciences of the United States of America · 2016
    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

11 authors.

Manfred BohnInstitute for Theoretical Physics, Heidelberg University, Heidelberg, Germany. bohn@tphys.uni-heidelberg.de
Philipp Diesinger
Rainer Kaufmann
Yanina Weiland
Patrick Müller
Manuel Gunkel
Alexa von Ketteler
Paul Lemmer
Michael Hausmann
Dieter W Heermann
Christoph Cremer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A combined approach of 2D high-resolution localization light microscopy and statistical methods is presented to infer structural features and density fluctuations at the nuclear nanoscale. Hallmarks of nuclear nanostructure are found on the scale below 100 nm for both human fibroblast and HeLa cells. Mechanical measures were extracted as a quantitative tool from the histone density fluctuations inside the cell to obtain structural fluctuations on the scale of several micrometers. Results show that different mechanisms of expression of the same nuclear protein type lead to significantly different patterns on the nanoscale and to pronounced differences in the detected compressibility of chromatin. The observed fluctuations, including the experimental evidence for dynamic looping, are consistent with a recently proposed chromatin model.

Indexed as

Gene Expression RegulationCell NucleusChromatinFluorescent DyesHeLa CellsHistonesHumansImage Processing, Computer-AssistedLightMicroscopyNanostructuresProtein TransportChromatinFluorescent DyesHistones

Identifiers

PMID20816047
PMCPMC2931727

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.