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

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          Summary

          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 V H gene recombination. These features localize downstream of V H 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 V H genes. Thus, local chromatin signatures downstream of V H genes provide an essential layer of regulation that determines recombination efficiency.

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          Highlights

          • VDJ-seq enables precise quantification of antibody V(D)J recombination products

          • Two distinct cis-regulatory designs characterize actively recombining V genes

          • Putative recombination regulatory elements map downstream of mouse Igh V genes

          • Recombination regulatory architecture reflects the V genes’ evolutionary history

          Abstract

          Bolland et al. develop a technique to quantitatively profile antigen receptor diversity. Using VDJ-seq in the mouse Igh locus, they uncover the regulatory logic underlying the highly varying recombination rates of V gene segments, with implications for immune disorders and aberrant recombination in cancer.

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          Most cited references66

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          Architectural protein subclasses shape 3D organization of genomes during lineage commitment.

          Understanding the topological configurations of chromatin may reveal valuable insights into how the genome and epigenome act in concert to control cell fate during development. Here, we generate high-resolution architecture maps across seven genomic loci in embryonic stem cells and neural progenitor cells. We observe a hierarchy of 3D interactions that undergo marked reorganization at the submegabase scale during differentiation. Distinct combinations of CCCTC-binding factor (CTCF), Mediator, and cohesin show widespread enrichment in chromatin interactions at different length scales. CTCF/cohesin anchor long-range constitutive interactions that might form the topological basis for invariant subdomains. Conversely, Mediator/cohesin bridge short-range enhancer-promoter interactions within and between larger subdomains. Knockdown of Smc1 or Med12 in embryonic stem cells results in disruption of spatial architecture and downregulation of genes found in cohesin-mediated interactions. We conclude that cell-type-specific chromatin organization occurs at the submegabase scale and that architectural proteins shape the genome in hierarchical length scales. Copyright © 2013 Elsevier Inc. All rights reserved.
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            The promise and challenge of high-throughput sequencing of the antibody repertoire

            Georgiou and colleagues discuss rapidly evolving methods for high-throughput sequencing of the antibody repertoire, and how the resulting data may be applied to answer basic and translational research questions.
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              NOTCH1 directly regulates c-MYC and activates a feed-forward-loop transcriptional network promoting leukemic cell growth.

              The NOTCH1 signaling pathway directly links extracellular signals with transcriptional responses in the cell nucleus and plays a critical role during T cell development and in the pathogenesis over 50% of human T cell lymphoblastic leukemia (T-ALL) cases. However, little is known about the transcriptional programs activated by NOTCH1. Using an integrative systems biology approach we show that NOTCH1 controls a feed-forward-loop transcriptional network that promotes cell growth. Inhibition of NOTCH1 signaling in T-ALL cells led to a reduction in cell size and elicited a gene expression signature dominated by down-regulated biosynthetic pathway genes. By integrating gene expression array and ChIP-on-chip data, we show that NOTCH1 directly activates multiple biosynthetic routes and induces c-MYC gene expression. Reverse engineering of regulatory networks from expression profiles showed that NOTCH1 and c-MYC govern two directly interconnected transcriptional programs containing common target genes that together regulate the growth of primary T-ALL cells. These results identify c-MYC as an essential mediator of NOTCH1 signaling and integrate NOTCH1 activation with oncogenic signaling pathways upstream of c-MYC.
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                Author and article information

                Contributors
                Journal
                Cell Rep
                Cell Rep
                Cell Reports
                Cell Press
                2211-1247
                02 June 2016
                14 June 2016
                02 June 2016
                : 15
                : 11
                : 2475-2487
                Affiliations
                [1 ]Nuclear Dynamics Programme, Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, UK
                [2 ]Bioinformatics Group, Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, UK
                Author notes
                []Corresponding author mikhail.spivakov@ 123456babraham.ac.uk
                [∗∗ ]Corresponding author anne.corcoran@ 123456babraham.ac.uk
                [3]

                Co-first author

                Article
                S2211-1247(16)30588-5
                10.1016/j.celrep.2016.05.020
                4914699
                27264181
                43fb9542-19b5-4a4d-932d-8d7c5fcbecff
                © 2016 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 21 December 2015
                : 1 March 2016
                : 2 May 2016
                Categories
                Article

                Cell biology
                Cell biology

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