Evidence map›Paper›PMID 20691394›Full record

ArticleGenomics, proteomics & bioinformatics2010

Sequence signatures of nucleosome positioning in Caenorhabditis elegans.

Kaifu Chen, Lei Wang, Meng Yang, Jiucheng Liu, Chengqi Xin, Songnian Hu, Jun Yu

Open access · goldAbstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Ribogenomics: the science and knowledge of RNA.Genomics, proteomics & bioinformatics · 2014
    Article
  4. Article
  5. An analysis and prediction of nucleosome positioning based on information content.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2013
    Article
  6. Does the genetic code have a eukaryotic origin?Genomics, proteomics & bioinformatics · 2013
    Article
  7. Article
  8. Predicting nucleosome binding motif set and analyzing their distributions around functional sites of human genes.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2012
    Article
  9. Challenges to the common dogma.Genomics, proteomics & bioinformatics · 2012
    Article
  10. Preferential nucleosome occupancy at high values of DNA helical rise.DNA research : an international journal for rapid publication of reports on genes and genomes · 2012
    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

7 authors at 2 institutions in 1 country.

Kaifu ChenCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Lei Wang
Meng Yang
Jiucheng Liu
Chengqi Xin
Songnian Hu
Jun Yu
Chinese Academy of Sciences · CNUniversity of Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our recent investigation in the protist Trichomonas vaginalis suggested a DNA sequence periodicity with a unit length of 120.9 nt, which represents a sequence signature for nucleosome positioning. We now extended our observation in higher eukaryotes and identified a similar periodicity of 175 nt in length in Caenorhabditis elegans. In the process of defining the sequence compositional characteristics, we found that the 10.5-nt periodicity, the sequence signature of DNA double helix, may not be sufficient for cross-nucleosome positioning but provides essential guiding rails to facilitate positioning. We further dissected nucleosome-protected sequences and identified a strong positive purine (AG) gradient from the 5'-end to the 3'-end, and also learnt that the nucleosome-enriched regions are GC-rich as compared to the nucleosome-free sequences as purine content is positively correlated with GC content. Sequence characterization allowed us to develop a hidden Markov model (HMM) algorithm for decoding nucleosome positioning computationally, and based on a set of training data from the fifth chromosome of C. elegans, our algorithm predicted 60%-70% of the well-positioned nucleosomes, which is 15%-20% higher than random positioning. We concluded that nucleosomes are not randomly positioned on DNA sequences and yet bind to different genome regions with variable stability, well-positioned nucleosomes leave sequence signatures on DNA, and statistical positioning of nucleosomes across genome can be decoded computationally based on these sequence signatures.

Indexed as

AlgorithmsAnimalsBase CompositionBase SequenceCaenorhabditis elegansDNA, HelminthGenome, HelminthMarkov ChainsNucleosomesPurinesPyrimidinesSequence Analysis, DNADNA, HelminthNucleosomespurinePurinespyrimidinePyrimidines

Identifiers

PMID20691394
PMCPMC5054450
OpenAlexW1968634252

What OpenQuestion holds

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LicenceCC BY-NC-SA
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.