Evidence map›Paper›PMID 35455033›Full record

ArticleLife (Basel, Switzerland)2022

Superstructure Detection in Nucleosome Distribution Shows Common Pattern within a Chromosome and within the Genome.

Sujeet Kumar Mishra, Kunhe Li, Simon Brauburger, Arnab Bhattacherjee, Nestor Norio Oiwa, Dieter W Heermann

Open access · goldAbstract read
In one paragraph

Article in Life (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Inter-nucleosomal potentials from nucleosomal positioning data.The European physical journal. E, Soft matter · 2022
    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 3 institutions in 3 countries.

Sujeet Kumar MishraInstitute for Theoretical Physics, Heidelberg University, D-69120 Heidelberg, Germany.ORCID 0000-0002-1994-6280
Kunhe LiInstitute for Theoretical Physics, Heidelberg University, D-69120 Heidelberg, Germany.
Simon BrauburgerInstitute for Theoretical Physics, Heidelberg University, D-69120 Heidelberg, Germany.
Arnab BhattacherjeeSchool of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi 110067, India.ORCID 0000-0002-7714-2619
Nestor Norio OiwaInstitute for Theoretical Physics, Heidelberg University, D-69120 Heidelberg, Germany.
Dieter W HeermannInstitute for Theoretical Physics, Heidelberg University, D-69120 Heidelberg, Germany.ORCID 0000-0002-3148-8382
Heidelberg University · DEJawaharlal Nehru University · INUniversidade Federal Fluminense · BR

Funding

Deutsche Forschungsgemeinschaft INST 35/1314-1 FUGG and INST 35/1503-1 FUGG
6 · The paper itself

Abstract

Nucleosome positioning plays an important role in crucial biological processes such as replication, transcription, and gene regulation. It has been widely used to predict the genome's function and chromatin organisation. So far, the studies of patterns in nucleosome positioning have been limited to transcription start sites, CTCFs binding sites, and some promoter and loci regions. The genome-wide organisational pattern remains unknown. We have developed a theoretical model to coarse-grain nucleosome positioning data in order to obtain patterns in their distribution. Using hierarchical clustering on the auto-correlation function of this coarse-grained nucleosome positioning data, a genome-wide clustering is obtained for

Indexed as

chromatineuchromatinheterochromatinnucleosome distributionnucleosome positioningstructure classification

Identifiers

PMID35455033
PMCPMC9026121
OpenAlexW4226075090

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.