Summary The mouse X-inactivation center (Xic) orchestrates initiation of X inactivation by controlling the expression of the non-coding Xist transcript. The full extent of Xist’s regulatory landscape remains to be defined however. Here we use Chromosome Conformation Capture Carbon-Copy and super-resolution microscopy to analyse the spatial organisation of a 4.5Mb region including Xist. We uncover a series of discrete 200kb-1Mb topologically associating domains (TADs), present both before and after cell differentiation and on the active and inactive X. These domains align with several domain-wide epigenomic features as well as co-regulated gene clusters. Disruption of a TAD boundary causes ectopic chromosomal contacts and long-range transcriptional mis-regulation. Xist/Tsix illustrates the spatial segregation of oppositely regulated chromosomal neighborhoods, with their promoters lying in two adjacent TADs, each containing their known positive regulators. This led to the identification of a distal regulatory region of Tsix producing a novel long intervening RNA, Linx, within its TAD. In addition to uncovering a new principle of the cis-regulatory architecture of mammalian chromosomes, our study sets the stage for the full genetic dissection of the Xic.

HiC-Pro is an optimized and flexible pipeline for processing Hi-C data from raw reads to normalized contact maps. HiC-Pro maps reads, detects valid ligation products, performs quality controls and generates intra- and inter-chromosomal contact maps. It includes a fast implementation of the iterative correction method and is based on a memory-efficient data format for Hi-C contact maps. In addition, HiC-Pro can use phased genotype data to build allele-specific contact maps. We applied HiC-Pro to different Hi-C datasets, demonstrating its ability to easily process large data in a reasonable time. Source code and documentation are available at http://github.com/nservant/HiC-Pro.Electronic supplementary materialThe online version of this article (doi:10.1186/s13059-015-0831-x) contains supplementary material, which is available to authorized users.

Summary: More and more cancer studies use next-generation sequencing (NGS) data to detect various types of genomic variation. However, even when researchers have such data at hand, single-nucleotide polymorphism arrays have been considered necessary to assess copy number alterations and especially loss of heterozygosity (LOH). Here, we present the tool Control-FREEC that enables automatic calculation of copy number and allelic content profiles from NGS data, and consequently predicts regions of genomic alteration such as gains, losses and LOH. Taking as input aligned reads, Control-FREEC constructs copy number and B-allele frequency profiles. The profiles are then normalized, segmented and analyzed in order to assign genotype status (copy number and allelic content) to each genomic region. When a matched normal sample is provided, Control-FREEC discriminates somatic from germline events. Control-FREEC is able to analyze overdiploid tumor samples and samples contaminated by normal cells. Low mappability regions can be excluded from the analysis using provided mappability tracks.Availability: C++ source code is available at: http://bioinfo.curie.fr/projects/freec/Contact: freec@curie.frSupplementary information: Supplementary data are available at Bioinformatics online.

Interleukin 17 (IL-17)-producing T helper 17 cells (T(H)-17 cells) have been described as a T helper cell subset distinct from T helper type 1 (T(H)1) and T(H)2 cells, with specific functions in antimicrobial defense and autoimmunity. The factors driving human T(H)-17 differentiation remain controversial. Using a systematic approach combining experimental and computational methods, we show here that transforming growth factor-beta, interleukin 23 (IL-23) and proinflammatory cytokines (IL-1beta and IL-6) were all essential for human T(H)-17 differentiation. However, individual T(H)-17 cell-derived cytokines, such as IL-17, IL-21, IL-22 and IL-6, as well as the global T(H)-17 cytokine profile, were differentially modulated by T(H)-17-promoting cytokines. Transforming growth factor-beta was critical, and its absence induced a shift from a T(H)-17 profile to a T(H)1-like profile. Our results shed new light on the regulation of human T(H)-17 differentiation and provide a framework for the global analysis of T helper responses.

Neuroblastoma is a tumor of the peripheral sympathetic nervous system, derived from multipotent neural crest cells (NCCs). To define core regulatory circuitries (CRCs) controlling the gene expression program of neuroblastoma, we established and analyzed the neuroblastoma super-enhancer landscape. We discovered three types of identity in neuroblastoma cell lines: a sympathetic noradrenergic identity, defined by a CRC module including the PHOX2B, HAND2 and GATA3 transcription factors (TFs); an NCC-like identity, driven by a CRC module containing AP-1 TFs; and a mixed type, further deconvoluted at the single-cell level. Treatment of the mixed type with chemotherapeutic agents resulted in enrichment of NCC-like cells. The noradrenergic module was validated by ChIP-seq. Functional studies demonstrated dependency of neuroblastoma with noradrenergic identity on PHOX2B, evocative of lineage addiction. Most neuroblastoma primary tumors express TFs from the noradrenergic and NCC-like modules. Our data demonstrate a previously unknown aspect of tumor heterogeneity relevant for neuroblastoma treatment strategies.

The R package GLAD (Gain and Loss Analysis of DNA) is available upon request.

X chromosome inactivation (XCI) and allelic exclusion of olfactory receptors or immunoglobulin loci represent classic examples of random monoallelic expression (RME). RME of some single copy genes has also been reported, but the in vivo relevance of this remains unclear. Here we identify several hundred RME genes in clonal neural progenitor cell lines derived from embryonic stem cells. RME occurs during differentiation, and, once established, the monoallelic state can be highly stable. We show that monoallelic expression also occurs in vivo, in the absence of DNA sequence polymorphism. Several of the RME genes identified play important roles in development and have been implicated in human autosomal-dominant disorders. We propose that monoallelic expression of such genes contributes to the fine-tuning of the developmental regulatory pathways they control, and, in the context of a mutation, RME can predispose to loss of function in a proportion of cells and thus contribute to disease.

During X chromosome inactivation (XCI), Xist RNA coats and silences one of the two X chromosomes in female cells. Little is known about how XCI spreads across the chromosome, although LINE-1 elements have been proposed to play a role. Here we show that LINEs participate in creating a silent nuclear compartment into which genes become recruited. A subset of young LINE-1 elements, however, is expressed during XCI, rather than being silenced. We demonstrate that such LINE expression requires the specific heterochromatic state induced by Xist. These LINEs often lie within escape-prone regions of the X chromosome, but close to genes that are subject to XCI, and are associated with putative endo-siRNAs. LINEs may thus facilitate XCI at different levels, with silent LINEs participating in assembly of a heterochromatic nuclear compartment induced by Xist, and active LINEs participating in local propagation of XCI into regions that would otherwise be prone to escape.