Remotely acting SMCHD1 gene regulatory elements: in silico prediction and identification of potential regulatory variants in patients with FSHD

Background: Facioscapulohumeral dystrophy (FSHD) is commonly associated with contraction of the D4Z4 macro-satellite repeat on chromosome 4q35 (FSHD1) or mutations in the SMCHD1 gene (FSHD2). Recent studies have shown that the clinical manifestation of FSHD1 can be modified by mutations in the SMCHD1 gene within a given family. The absence of either D4Z4 contraction or SMCHD1 mutations in a small cohort of patients suggests that the disease could also be due to disruption of gene regulation. In this study, we postulated that mutations responsible for exerting a modifier effect on FSHD might reside within remotely acting regulatory elements that have the potential to interact at a distance with their cognate gene promoter via chromatin looping. To explore this postulate, genome-wide Hi-C data were used to identify genomic fragments displaying the strongest interaction with the SMCHD1 gene. These fragments were then narrowed down to shorter regions using ENCODE and FANTOM data on transcription factor binding sites and epigenetic marks characteristic of promoters, enhancers and silencers

The Facioscapulohumeral muscular dystrophy region on 4qter and the homologous locus on 10qter evolved independently under different evolutionary pressure

BACKGROUND: The homologous 4q and 10q subtelomeric regions include two distinctive polymorphic arrays of 3.3 kb repeats, named D4Z4. An additional BlnI restriction site on the 10q-type sequence allows to distinguish the chromosomal origin of the repeats. Reduction in the number of D4Z4 repeats below a threshold of 10 at the 4q locus is tightly linked to Facioscapulohumeral Muscular Dystrophy (FSHD), while similar contractions at 10q locus, are not pathogenic. Sequence variations due to the presence of BlnI-sensitive repeats (10q-type) on chromosome 4 or viceversa of BlnI-resistant repeats (4q-type) on chromosome 10 are observed in both alleles. RESULTS: We analysed DNA samples from 116 healthy subiects and 114 FSHD patients and determined the size distributions of polymorphic 4q and 10q alleles, the frequency and the D4Z4 repeat assortment of variant alleles, and finally the telomeric sequences both in standard and variant alleles. We observed the same frequency and types of variant alleles in FSHD patients and controls, but we found marked differences between the repeat arrays of the 4q and 10q chromosomes. In particular we detected 10q alleles completely replaced by the 4q subtelomeric region, consisting in the whole set of 4q-type repeats and the distal telomeric markers. However the reciprocal event, 10q-type subtelomeric region on chromosome 4, was never observed. At 4q locus we always identified hybrid alleles containing a mixture of 4q and 10q-type repeats. CONCLUSION: The different size distribution and different structure of 10q variant alleles as compared with 4q suggests that these loci evolved in a different manner, since the 4q locus is linked to FSHD, while no inheritable disease is associated with mutations in 10qter genomic region. Hybrid alleles on chromosome 4 always retain a minimum number of 4q type repeats, as they are probably essential for maintaining the structural and functional properties of this subtelomeric region. In addition we found: i) several instances of variant alleles that could be misinterpreted and interfere with a correct diagnosis of FSHD; ii) the presence of borderline alleles in the range of 30–40 kb that carried a qA type telomere and were not associated with the disease

D2.1 Integrated Roadmap

Deliverable 2.1 – The Integrated Roadmap – summarises the first 18 months of requirements gathering and analysis in the TENCompetence project. The document consists of a summary description and a number of annexes with detailed results. The methodology chosen by the project is the Unified Process, supplemented with scenario-based software development techniques. On the basis of initial scenario’s and specific use cases, six high-level use cases were identified that summarise the future functionality of the TENCompetence integrated system. These high-level use cases build on the domain model that is also included. The four main components of the TENCompetence project, i.e. (a) the high-level use cases, (b) the domain model, (c) the project objectives and (d) the experimental setup of the pilots were then critically analysed in order to identify possible gaps between them. On the basis of this gap analysis, some recommendations were formulated for the next development cycles. On the basis of all the work in the four components and the gap analysis, detailed extended use cases with activity diagrams and a data model were developed and formulated, which again serve as the basis for the first version of the integrated system, the Personal Competence Manager. Finally, the document describes the future of the requirements process in the form of a research roadmap, and a detailed procedure for handling change requests to the integrated system.The work on this publication has been sponsored by the TENCompetence Integrated Project that is funded by the European Commission's 6th Framework Programme, priority IST/Technology Enhanced Learning. Contract 027087 [http://www.tencompetence.org

D9.2 Report, containing internal deliverable outcomes ID9.2-ID9.11

The aim of this deliverable is to report on TENCompetence training activities from the project month 13 to 30The work on this publication has been sponsored by the TENCompetence Integrated Project that is funded by the European Commission's 6th Framework Programme, priority IST/Technology Enhanced Learning. Contract 027087 [http://www.tencompetence.org

De novo mutations in SMCHD1 cause Bosma arhinia microphthalmia syndrome and abrogate nasal development

Bosma arhinia microphthalmia syndrome (BAMS) is an extremely rare and striking condition characterized by complete absence of the nose with or without ocular defects. We report here that missense mutations in the epigenetic regulator SMCHD1 mapping to the extended ATPase domain of the encoded protein cause BAMS in all 14 cases studied. All mutations were de novo where parental DNA was available. Biochemical tests and in vivo assays in Xenopus laevis embryos suggest that these mutations may behave as gain-of-function alleles. This finding is in contrast to the loss-of-function mutations in SMCHD1 that have been associated with facioscapulohumeral muscular dystrophy (FSHD) type 2. Our results establish SMCHD1 as a key player in nasal development and provide biochemical insight into its enzymatic function that may be exploited for development of therapeutics for FSHD

Focal segmental glomerulosclerosis, Coats’-like retinopathy, sensorineural deafness and chromosome 4 duplication: a new association

We describe the novel association in a girl of nephrotic syndrome due to focal segmental glomerulosclerosis, bilateral sensorineural deafness, basal ganglia calcification, bilateral retinopathy similar to that seen in Coats’ disease, with de novo duplication of a subtelomeric region of chromosome 4q35. The chromosomal duplication was identified during investigation of a possible association with features of fascio-scapulo-humeral dystrophy (FSHD). This duplication has not previously been reported with FSGS and adds to the expanding number of genetic associations with steroid-resistant nephrotic syndrome

Технология извлечения структур знаний с использованием аппарата расширенных семантических сетей

В статье рассматривается задача извлечения из текстов естественного языка структур знаний: информационных объектов («именованных сущностей»), их свойств, связей и фактов участия в действиях. Для этих целей разработан инструментарий: язык представления знаний (расширенные семантические сети – РСС) и их обработки (язык преобразования структур – ДЕКЛ). На этой основе созданы технологии, которые обладают следующими особенностями. Из текстов извлекаются не отдельные объекты (именованные сущности), а структуры знаний, представляющие связи объектов и их участие в действиях и событиях. Для извлечения структур знаний разработан уникальный семантико-ориентированный лингвистический процессор (ЛП), осуществляющий глубинный анализ текстов ЕЯ и выявляющий десятки типов объектов вместе с их структурами. Процессор ЛП управляется лингвистическими знаниями, представляющими собой декларативные структуры и обеспечивающие быструю настройку ЛП на предметную область и язык. Основой лингвистических знаний являются правила, обладающие высокой степенью избирательности при выявлении объектов («сущностей»), средствами устранения коллизий при их применении. Это позволяет минимизировать шумы и потери.У статті розглядається задача знайдення у текстах природної мови структур знань: інформаційних об’єктів («іменованих сутностей»), їх якостей зв’язків і фактів участі у діях. Для цих цілей розроблений інструментарій: мова представлення знань (розширені семантичні мережі – РСМ) та їх обробки (мова перетворення структур – ДЕКЛ). На цій основі створені технології, що мають наступні особливості. З тестів виділяються не окремі об’єкти (іменовані сутності), а структури знань, що представляють зв’язки об’єктів та їх участь у діях та подіях. З метою виділення структур знань розроблений винятковий семантико-орієнтований лінгвістичний процесор (ЛП), що здійснює глибинний аналіз текстів ЕЯ та виявляє десятки типів об’єктів разом з їх структурами. Процесор ЛП керується лінгвістичними знаннями, які представляють собою декларативні структури та забезпечують швидке настроювання ЛП на предметну сферу та мову. Основою лінгвістичних знань є правила, що мають високий ступінь вибірковості при виявленні об’єктів («сутностей»), засобами усунення колізій при їхньому використанні. Це дозволяє мінімізувати шуми та втрати.The paper is devoted to the extracting of knowledge structures from the natural language texts, i.e. information objects (“Named Entities”), their features, relationships, and participation in the actions and events. For this purpose, the language used for knowledge representation (extended semantic networks/ESN) and tools for processing (language for structure conversion LSC) are considered. On this base, the new technologies are proposed. These technologies have the following features: extraction from the texts of knowledge structures that represent the links of named entities and their participation in actions and events. For the knowledge extraction the unique semantic-oriented language processor (LP) are designed. Processor LP provides the deep analysis of NL-texts and revealing set of objects together with their structures. Processor LP is controlled by the linguistic knowledge, which are declarative structures (on ESN) and which provides the quick tuning of LP on subject area and language, both Russian and English