Evidence map›Paper›PMID 27707796›Full record

ArticleDevelopment (Cambridge, England)2016

iDamIDseq and iDEAR: an improved method and computational pipeline to profile chromatin-binding proteins.

Jose Arturo Gutierrez-Triana, Juan L Mateo, David Ibberson, Soojin Ryu, Joachim Wittbrodt

Open access · hybridAbstract read
In one paragraph

Article in Development (Cambridge, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

16 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
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  15. DamID as a versatile tool for understanding gene regulation.Development (Cambridge, England) · 2019
    Review
  16. 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

5 authors at 2 institutions in 1 country.

Jose Arturo Gutierrez-TrianaCentre for Organismal Studies (COS), University of Heidelberg, Im Neuenheimer Feld 230, Heidelberg D-69120, Germany.
Juan L MateoCentre for Organismal Studies (COS), University of Heidelberg, Im Neuenheimer Feld 230, Heidelberg D-69120, Germany.ORCID 0000-0001-9902-6048
David IbbersonDeep Sequencing Core Facility, Cell Networks, University of Heidelberg, Im Neuenheimer 267, Heidelberg D-69120, Germany.
Soojin RyuDevelopmental Genetics of the Nervous System, Max Planck Institute for Medical Research, Jahnstrasse 29, Heidelberg D-69120, Germany.
Joachim WittbrodtCentre for Organismal Studies (COS), University of Heidelberg, Im Neuenheimer Feld 230, Heidelberg D-69120, Germany jochen.wittbrodt@cos.uni-heidelberg.de.ORCID 0000-0001-8550-7377
Heidelberg University · DEJohannes Gutenberg University Mainz · DE

Funding

European Research Council 294354
6 · The paper itself

Abstract

DNA adenine methyltransferase identification (DamID) has emerged as an alternative method to profile protein-DNA interactions; however, critical issues limit its widespread applicability. Here, we present iDamIDseq, a protocol that improves specificity and sensitivity by inverting the steps DpnI-DpnII and adding steps that involve a phosphatase and exonuclease. To determine genome-wide protein-DNA interactions efficiently, we present the analysis tool iDEAR (iDamIDseq Enrichment Analysis with R). The combination of DamID and iDEAR permits the establishment of consistent profiles for transcription factors, even in transient assays, as we exemplify using the small teleost medaka (Oryzias latipes). We report that the bacterial Dam-coding sequence induces aberrant splicing when it is used with different promoters to drive tissue-specific expression. Here, we present an optimization of the sequence to avoid this problem. This and our other improvements will allow researchers to use DamID effectively in any organism, in a general or targeted manner.

Indexed as

AlgorithmsGene Expression RegulationAnimalsBinding SitesChromatinComputational BiologyDatabases, GeneticDNA-Binding ProteinsDNA MethylationEmbryo, NonmammalianOryziasPromoter Regions, GeneticProtein BindingProtein Interaction MappingSequence Analysis, DNASite-Specific DNA-Methyltransferase (Adenine-Specific)ChromatinDNA-Binding ProteinsSite-Specific DNA-Methyltransferase (Adenine-Specific)Transcription FactorsChromatin profilingDamIDEpigeneticsTranscriptional regulationTranscription factor

Identifiers

PMID27707796
PMCPMC5117216
OpenAlexW2528062088

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.