Evidence map›Paper›PMID 17309844›Full record

ArticleMethods (San Diego, Calif.)2007

Using atomic force microscopy to study chromatin structure and nucleosome remodeling.

D Lohr, R Bash, H Wang, J Yodh, S Lindsay

Open access · greenAbstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 62 citations in OpenAlex.

  1. Multiscale modeling primer: Focus on chromatin and epigenetics.The Journal of biological chemistry · 2026
    Review
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  7. The Process of Wrapping Virus Revealed by a Force Tracing Technique and Simulations.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2017
    Article
  8. Review
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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

5 authors at 2 institutions in 1 country.

D LohrDepartment of Chemistry and Biochemistry, Arizona State University, Tempe, AZ 85287-1604, USA. dlohr@asu.edu
R Bash
H Wang
J Yodh
S Lindsay
Arizona State University · USMidwestern University · US

Funding

New SPM Methods to Study Chromatin RemodelingR01CA085990 · NCI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI LINDSAY, STUART · 2001 to 2005
$1.5M
NCI NIH HHS R01 CA085990
6 · The paper itself

Abstract

Atomic force microscopy (AFM) is a technique that can directly image single molecules in solution and it therefore provides a powerful tool for obtaining unique insights into the basic properties of biological materials and the functional processes in which they are involved. We have used AFM to analyze basic features of nucleosomes in arrays, such as DNA-histone binding strength, cooperativity in template occupation, nucleosome stabilities, nucleosome locations and the effects of acetylation, to compare these features in different types of arrays and to track the response of array nucleosomes to the action of the human Swi-Snf ATP-dependent nucleosome remodeling complex. These experiments required several specific adaptations of basic AFM methods, such as repetitive imaging of the same fields of molecules in liquid, the ability to change the environmental conditions of the sample being imaged and detection of specific types of molecules within compositionally complex samples. Here, we describe the techniques that allowed such analyses to be carried out.

Indexed as

AcetylationChromatin Assembly and DisassemblyDNA-Binding ProteinsHistonesHumansMicroscopy, Atomic ForceNucleosomesTranscription FactorsDNA-Binding ProteinsHistonesNucleosomesTranscription Factors

Identifiers

PMID17309844
PMCPMC1876669
OpenAlexW2096495825

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.