Evidence map›Paper›PMID 27264181›Full record

ArticleCell reports2016

Two Mutually Exclusive Local Chromatin States Drive Efficient V(D)J Recombination.

Daniel J Bolland, Hashem Koohy, Andrew L Wood, Louise S Matheson, Felix Krueger, Michael J T Stubbington, Amanda Baizan-Edge, Peter Chovanec, Bryony A Stubbs, Kristina Tabbada and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

49 citing papers in PubMed, 73 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

13 authors at 1 institution in 1 country.

Daniel J BollandNuclear Dynamics Programme, Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, UK.
Hashem KoohyNuclear Dynamics Programme, Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, UK.
Andrew L WoodNuclear Dynamics Programme, Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, UK.
Louise S MathesonNuclear Dynamics Programme, Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, UK.
Felix KruegerBioinformatics Group, Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, UK.
Michael J T StubbingtonNuclear Dynamics Programme, Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, UK.
Amanda Baizan-EdgeNuclear Dynamics Programme, Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, UK.
Peter ChovanecNuclear Dynamics Programme, Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, UK.
Bryony A StubbsNuclear Dynamics Programme, Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, UK.
Kristina TabbadaNuclear Dynamics Programme, Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, UK.
Simon R AndrewsBioinformatics Group, Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, UK.
Mikhail SpivakovNuclear Dynamics Programme, Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, UK. Electronic address: mikhail.spivakov@babraham.ac.uk.
Anne E CorcoranNuclear Dynamics Programme, Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, UK. Electronic address: anne.corcoran@babraham.ac.uk.
Babraham Institute · GB

Funding

Biotechnology and Biological Sciences Research CouncilMedical Research Council
6 · The paper itself

Abstract

Variable (V), diversity (D), and joining (J) (V(D)J) recombination is the first determinant of antigen receptor diversity. Understanding how recombination is regulated requires a comprehensive, unbiased readout of V gene usage. We have developed VDJ sequencing (VDJ-seq), a DNA-based next-generation-sequencing technique that quantitatively profiles recombination products. We reveal a 200-fold range of recombination efficiency among recombining V genes in the primary mouse Igh repertoire. We used machine learning to integrate these data with local chromatin profiles to identify combinatorial patterns of epigenetic features that associate with active VH gene recombination. These features localize downstream of VH genes and are excised by recombination, revealing a class of cis-regulatory element that governs recombination, distinct from expression. We detect two mutually exclusive chromatin signatures at these elements, characterized by CTCF/RAD21 and PAX5/IRF4, which segregate with the evolutionary history of associated VH genes. Thus, local chromatin signatures downstream of VH genes provide an essential layer of regulation that determines recombination efficiency.

Indexed as

AlgorithmsAnimalsChromatinEpigenesis, GeneticEvolution, MolecularGene Expression RegulationGenetic LociHomeodomain ProteinsHumansImmunoglobulin Heavy ChainsImmunoglobulin Variable RegionMiceReceptors, AntigenSequence Analysis, DNATranscription, GeneticV(D)J RecombinationChromatinHomeodomain ProteinsImmunoglobulin Heavy ChainsImmunoglobulin Variable RegionRAG-1 proteinReceptors, Antigen

Identifiers

PMID27264181
PMCPMC4914699
OpenAlexW2414054851

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.