Evidence map›Paper›PMID 26981424›Full record

ArticleGenomics data2016

Identification of Tox chromatin binding properties and downstream targets by DamID-Seq.

António Miguel de Jesus Domingues, Benedetta Artegiani, Andreas Dahl, Federico Calegari

Open access · goldAbstract read
In one paragraph

Article in Genomics data, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Data analysis algorithm for DamID-seq profiling of chromatin proteins in Drosophila melanogaster.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 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

4 authors at 2 institutions in 1 country.

António Miguel de Jesus DominguesDeep Sequencing Group-SFB655, Biotechnology Center, TU-Dresden, Germany.
Benedetta ArtegianiDFG-Research Center for Regenerative Therapies, Cluster of Excellence, Faculty of Medicine, TU-Dresden, Germany.
Andreas DahlDeep Sequencing Group-SFB655, Biotechnology Center, TU-Dresden, Germany.
Federico CalegariDFG-Research Center for Regenerative Therapies, Cluster of Excellence, Faculty of Medicine, TU-Dresden, Germany.
Center for Systems Biology Dresden · DETechnische Universität Dresden · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, DNA adenine methyltransferase identification (DamID) has emerged as a powerful tool to profile protein-DNA interaction on a genome-wide scale. While DamID has been primarily combined with microarray analyses, which limits the spatial resolution and full potential of this technique, our group was the first to combine DamID with sequencing (DamID-Seq) for characterizing the binding loci and properties of a transcription factor (Tox) (sequencing data available at NCBI's Gene Expression Omnibus under the accession number GSE64240). Our approach was based on the combination and optimization of several bioinformatics tools that are here described in detail. Analysis of Tox proximity to transcriptional start sites, profiling on enhancers and binding motif has allowed us to identify this transcription factor as an important new regulator of neural stem cells differentiation and newborn neurons maturation during mouse cortical development. Here we provide a valuable resource to study the role of Tox as a novel key determinant of mammalian somatic stem cells during development of the nervous and lymphatic system, in which this factor is known to be active, and describe a useful pipeline to perform DamID-Seq analyses for any other transcription factor.

Indexed as

DamID-SeqNeural stem cellsSICER

Identifiers

PMID26981424
PMCPMC4778673
OpenAlexW2272753924

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.