Evidence map›Paper›PMID 29158335›Full record

ArticleG3 (Bethesda, Md.)2018

A Deconvolution Protocol for ChIP-Seq Reveals Analogous Enhancer Structures on the Mouse and Human Ribosomal RNA Genes.

Jean-Clement Mars, Marianne Sabourin-Felix, Michel G Tremblay, Tom Moss

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

28 citing papers in PubMed, 46 citations in OpenAlex.

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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 1 institution in 1 country.

Jean-Clement MarsLaboratory of Growth and Development, St-Patrick Research Group in Basic Oncology, Cancer Division of the Quebec University Hospital Research Centre, G1R 3S3, Canada.ORCID 0000-0001-8904-9502
Marianne Sabourin-FelixLaboratory of Growth and Development, St-Patrick Research Group in Basic Oncology, Cancer Division of the Quebec University Hospital Research Centre, G1R 3S3, Canada.ORCID 0000-0002-1071-8935
Michel G TremblayLaboratory of Growth and Development, St-Patrick Research Group in Basic Oncology, Cancer Division of the Quebec University Hospital Research Centre, G1R 3S3, Canada.ORCID 0000-0003-2545-3682
Tom MossLaboratory of Growth and Development, St-Patrick Research Group in Basic Oncology, Cancer Division of the Quebec University Hospital Research Centre, G1R 3S3, Canada Tom.Moss@crhdq.ulaval.ca.ORCID 0000-0003-2047-4783
Université Laval · CA

Funding

CIHR MOP12205/PJT153266
6 · The paper itself

Abstract

The combination of Chromatin Immunoprecipitation and Massively Parallel Sequencing, or ChIP-Seq, has greatly advanced our genome-wide understanding of chromatin and enhancer structures. However, its resolution at any given genetic locus is limited by several factors. In applying ChIP-Seq to the study of the ribosomal RNA genes, we found that a major limitation to resolution was imposed by the underlying variability in sequence coverage that very often dominates the protein-DNA interaction profiles. Here, we describe a simple numerical deconvolution approach that, in large part, corrects for this variability, and significantly improves both the resolution and quantitation of protein-DNA interaction maps deduced from ChIP-Seq data. This approach has allowed us to determine the

Indexed as

Enhancer Elements, GeneticGenes, rRNAGenomePromoter Regions, GeneticAnimalsBase SequenceChromatin ImmunoprecipitationDNA, RibosomalHigh-Throughput Nucleotide SequencingHumansMicePol1 Transcription Initiation Complex ProteinsRibosomesRNA Polymerase IRNA, RibosomalSequence AlignmentDNA, RibosomalPol1 Transcription Initiation Complex ProteinsRNA Polymerase IRNA, Ribosomaltranscription factor UBFChIP-Seq deconvolutionribosomal RNA (rRNA) genesRNA polymerase I (RPI, PolI, Polr1)selectivity factor SL1upstream binding factor (UBF/UBTF)

Identifiers

PMID29158335
PMCPMC5765358
OpenAlexW2768303680

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.