ArticleScientific reports2016
Exploration of nucleosome positioning patterns in transcription factor function.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed.
- High-resolution map of chromatin accessibility - insights into the focused binding of a large number of transcription factors.Epigenetics & chromatin · 2026Article
- Circulating Cell-free DNA Fragmentomics Detection and Beyond.Aging and disease · 2025Review
- Initiation of base excision repair is modulated by nucleosome occupancy modifying sequences.DNA repair · 2025Article
- Skeletal muscle differentiation induces wide-ranging nucleosome repositioning in muscle gene promoters.Scientific reports · 2024Article
- Till SMARCA5 loss do nucleosomes part.Molecular cell · 2023Article
- Dynamic nucleosome organization after fertilization reveals regulatory factors for mouse zygotic genome activation.Cell research · 2022Article
- INO80 promotes H2A.Z occupancy to regulate cell fate transition in pluripotent stem cells.Nucleic acids research · 2021Article
- NUCOME: A comprehensive database of nucleosome organization referenced landscapes in mammalian genomes.BMC bioinformatics · 2021Article
- Nano-Surveillance: Tracking Individual Molecules in a Sea of Chromatin.Journal of molecular biology · 2021Review
- Chromatin Profiles of Chromosomally Integrated Human Herpesvirus-6A.Frontiers in microbiology · 2019Article
- A droplet microfluidic platform for efficient enzymatic chromatin digestion enables robust determination of nucleosome positioning.Lab on a chip · 2018Article
- Temporal regulation of chromatin during myoblast differentiation.Seminars in cell & developmental biology · 2017Review
- Machine learning in postgenomic biology and personalized medicine.Wiley interdisciplinary reviews. Data mining and knowledge discoveryArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The binding of transcription factors (TFs) triggers activation of specific chromatin regions through the recruitment and activation of RNA polymerase. Unique nucleosome positioning (NP) occurs during gene expression and has been suggested to be involved in various other chromatin functions. However, the diversity of NP that can occur for each function has not been clarified. Here we used MNase-Seq data to evaluate NP around 258 cis-regulatory elements in the mouse genome. Principal component analysis of the 258 elements revealed that NP consisted of five major patterns. Furthermore, the five NP patterns had predictive power for the level of gene expression. We also demonstrated that selective NP patterns appeared around TF binding sites. These results suggest that the NP patterns are correlated to specific functions on chromatin.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.