Investigating the Role of X Chromosome Breakpoints In
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Exceptional Conservation of Horse–Human Gene Order on X Chromosome Revealed by High-Resolution Radiation Hybrid Mapping
Exceptional conservation of horse–human gene order on X chromosome revealed by high-resolution radiation hybrid mapping Terje Raudsepp*†, Eun-Joon Lee*†, Srinivas R. Kata‡, Candice Brinkmeyer*, James R. Mickelson§, Loren C. Skow*, James E. Womack‡, and Bhanu P. Chowdhary*¶ʈ *Department of Veterinary Anatomy and Public Health, ‡Department of Veterinary Pathobiology, College of Veterinary Medicine, and ¶Department of Animal Science, College of Agriculture and Life Science, Texas A&M University, College Station, TX 77843; and §Department of Veterinary Pathobiology, University of Minnesota, 295f AS͞VM, St. Paul, MN 55108 Contributed by James E. Womack, December 30, 2003 Development of a dense map of the horse genome is key to efforts ciated with the traits, once they are mapped by genetic linkage aimed at identifying genes controlling health, reproduction, and analyses with highly polymorphic markers. performance. We herein report a high-resolution gene map of the The X chromosome is the most conserved mammalian chro- horse (Equus caballus) X chromosome (ECAX) generated by devel- mosome (18, 19). Extensive comparisons of structure, organi- oping and typing 116 gene-specific and 12 short tandem repeat zation, and gene content of this chromosome in evolutionarily -markers on the 5,000-rad horse ؋ hamster whole-genome radia- diverse mammals have revealed a remarkable degree of conser tion hybrid panel and mapping 29 gene loci by fluorescence in situ vation (20–22). Until now, the chromosome has been best hybridization. The human X chromosome sequence was used as a studied in humans and mice, where the focus of research has template to select genes at 1-Mb intervals to develop equine been the intriguing patterns of X inactivation and the involve- orthologs. -
Snapshot: Formins Christian Baarlink, Dominique Brandt, and Robert Grosse University of Marburg, Marburg 35032, Germany
SnapShot: Formins Christian Baarlink, Dominique Brandt, and Robert Grosse University of Marburg, Marburg 35032, Germany Formin Regulators Localization Cellular Function Disease Association DIAPH1/DIA1 RhoA, RhoC Cell cortex, Polarized cell migration, microtubule stabilization, Autosomal-dominant nonsyndromic deafness (DFNA1), myeloproliferative (mDia1) phagocytic cup, phagocytosis, axon elongation defects, defects in T lymphocyte traffi cking and proliferation, tumor cell mitotic spindle invasion, defects in natural killer lymphocyte function DIAPH2 Cdc42 Kinetochore Stable microtubule attachment to kinetochore for Premature ovarian failure (mDia3) chromosome alignment DIAPH3 Rif, Cdc42, Filopodia, Filopodia formation, removing the nucleus from Increased chromosomal deletion of gene locus in metastatic tumors (mDia2) Rac, RhoB, endosomes erythroblast, endosome motility, microtubule DIP* stabilization FMNL1 (FRLα) Cdc42 Cell cortex, Phagocytosis, T cell polarity Overexpression is linked to leukemia and non-Hodgkin lymphoma microtubule- organizing center FMNL2/FRL3/ RhoC ND Cell motility Upregulated in metastatic colorectal cancer, chromosomal deletion is FHOD2 associated with mental retardation FMNL3/FRL2 Constituently Stress fi bers ND ND active DAAM1 Dishevelled Cell cortex Planar cell polarity ND DAAM2 ND ND ND Overexpressed in schizophrenia patients Human (Mouse) FHOD1 ROCK Stress fi bers Cell motility FHOD3 ND Nestin, sarcomere Organizing sarcomeres in striated muscle cells Single-nucleotide polymorphisms associated with type 1 diabetes -
Mechanical Forces Induce an Asthma Gene Signature in Healthy Airway Epithelial Cells Ayşe Kılıç1,10, Asher Ameli1,2,10, Jin-Ah Park3,10, Alvin T
www.nature.com/scientificreports OPEN Mechanical forces induce an asthma gene signature in healthy airway epithelial cells Ayşe Kılıç1,10, Asher Ameli1,2,10, Jin-Ah Park3,10, Alvin T. Kho4, Kelan Tantisira1, Marc Santolini 1,5, Feixiong Cheng6,7,8, Jennifer A. Mitchel3, Maureen McGill3, Michael J. O’Sullivan3, Margherita De Marzio1,3, Amitabh Sharma1, Scott H. Randell9, Jefrey M. Drazen3, Jefrey J. Fredberg3 & Scott T. Weiss1,3* Bronchospasm compresses the bronchial epithelium, and this compressive stress has been implicated in asthma pathogenesis. However, the molecular mechanisms by which this compressive stress alters pathways relevant to disease are not well understood. Using air-liquid interface cultures of primary human bronchial epithelial cells derived from non-asthmatic donors and asthmatic donors, we applied a compressive stress and then used a network approach to map resulting changes in the molecular interactome. In cells from non-asthmatic donors, compression by itself was sufcient to induce infammatory, late repair, and fbrotic pathways. Remarkably, this molecular profle of non-asthmatic cells after compression recapitulated the profle of asthmatic cells before compression. Together, these results show that even in the absence of any infammatory stimulus, mechanical compression alone is sufcient to induce an asthma-like molecular signature. Bronchial epithelial cells (BECs) form a physical barrier that protects pulmonary airways from inhaled irritants and invading pathogens1,2. Moreover, environmental stimuli such as allergens, pollutants and viruses can induce constriction of the airways3 and thereby expose the bronchial epithelium to compressive mechanical stress. In BECs, this compressive stress induces structural, biophysical, as well as molecular changes4,5, that interact with nearby mesenchyme6 to cause epithelial layer unjamming1, shedding of soluble factors, production of matrix proteins, and activation matrix modifying enzymes, which then act to coordinate infammatory and remodeling processes4,7–10. -
Defining Functional Interactions During Biogenesis of Epithelial Junctions
ARTICLE Received 11 Dec 2015 | Accepted 13 Oct 2016 | Published 6 Dec 2016 | Updated 5 Jan 2017 DOI: 10.1038/ncomms13542 OPEN Defining functional interactions during biogenesis of epithelial junctions J.C. Erasmus1,*, S. Bruche1,*,w, L. Pizarro1,2,*, N. Maimari1,3,*, T. Poggioli1,w, C. Tomlinson4,J.Lees5, I. Zalivina1,w, A. Wheeler1,w, A. Alberts6, A. Russo2 & V.M.M. Braga1 In spite of extensive recent progress, a comprehensive understanding of how actin cytoskeleton remodelling supports stable junctions remains to be established. Here we design a platform that integrates actin functions with optimized phenotypic clustering and identify new cytoskeletal proteins, their functional hierarchy and pathways that modulate E-cadherin adhesion. Depletion of EEF1A, an actin bundling protein, increases E-cadherin levels at junctions without a corresponding reinforcement of cell–cell contacts. This unexpected result reflects a more dynamic and mobile junctional actin in EEF1A-depleted cells. A partner for EEF1A in cadherin contact maintenance is the formin DIAPH2, which interacts with EEF1A. In contrast, depletion of either the endocytic regulator TRIP10 or the Rho GTPase activator VAV2 reduces E-cadherin levels at junctions. TRIP10 binds to and requires VAV2 function for its junctional localization. Overall, we present new conceptual insights on junction stabilization, which integrate known and novel pathways with impact for epithelial morphogenesis, homeostasis and diseases. 1 National Heart and Lung Institute, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK. 2 Computing Department, Imperial College London, London SW7 2AZ, UK. 3 Bioengineering Department, Faculty of Engineering, Imperial College London, London SW7 2AZ, UK. 4 Department of Surgery & Cancer, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK. -
Genome-Wide Copy Number Variant Analysis For
An et al. BMC Medical Genomics (2016) 9:2 DOI 10.1186/s12920-015-0163-4 RESEARCH ARTICLE Open Access Genome-wide copy number variant analysis for congenital ventricular septal defects in Chinese Han population Yu An1,2,4, Wenyuan Duan3, Guoying Huang4, Xiaoli Chen5,LiLi5, Chenxia Nie6, Jia Hou4, Yonghao Gui4, Yiming Wu1, Feng Zhang2, Yiping Shen7, Bailin Wu1,4,7* and Hongyan Wang8* Abstract Background: Ventricular septal defects (VSDs) constitute the most prevalent congenital heart disease (CHD), occurs either in isolation (isolated VSD) or in combination with other cardiac defects (complex VSD). Copy number variation (CNV) has been highlighted as a possible contributing factor to the etiology of many congenital diseases. However, little is known concerning the involvement of CNVs in either isolated or complex VSDs. Methods: We analyzed 154 unrelated Chinese individuals with VSD by chromosomal microarray analysis. The subjects were recruited from four hospitals across China. Each case underwent clinical assessment to define the type of VSD, either isolated or complex VSD. CNVs detected were categorized into syndrom related CNVs, recurrent CNVs and rare CNVs. Genes encompassed by the CNVs were analyzed using enrichment and pathway analysis. Results: Among 154 probands, we identified 29 rare CNVs in 26 VSD patients (16.9 %, 26/154) and 8 syndrome-related CNVs in 8 VSD patients (5.2 %, 8/154). 12 of the detected 29 rare CNVs (41.3 %) were recurrently reported in DECIPHER or ISCA database as associated with either VSD or general heart disease. Fifteen genes (5 %, 15/285) within CNVs were associated with a broad spectrum of complicated CHD. -
September 1997 Volume 24
Volume 1 - Number 1 May - September 1997 Volume 24 - Number 6 June 2020 Atlas of Genetics and Cytogenetics in Oncology and Haematology OPEN ACCESS JOURNAL INIST-CNRS Scope The Atlas of Genetics and Cytogenetics in Oncology and Haematology is a peer reviewed on-line journal in open access, devoted to genes, cytogenetics, and clinical entities in cancer, and cancer-prone diseases. It is made for and by: clinicians and researchers in cytogenetics, molecular biology, oncology, haematology, and pathology. One main scope of the Atlas is to conjugate the scientific information provided by cytogenetics/molecular genetics to the clinical setting (diagnostics, prognostics and therapeutic design), another is to provide an encyclopedic knowledge in cancer genetics. The Atlas deals with cancer research and genomics. It is at the crossroads of research, virtual medical university (university and post-university e-learning), and telemedicine. It contributes to "meta-medicine", this mediation, using information technology, between the increasing amount of knowledge and the individual, having to use the information. Towards a personalized medicine of cancer. It presents structured review articles ("cards") on: 1- Genes, 2- Leukemias, 3- Solid tumors, 4- Cancer-prone diseases, and also 5- "Deep insights": more traditional review articles on the above subjects and on surrounding topics. It also present 6- Case reports in hematology and 7- Educational items in the various related topics for students in Medicine and in Sciences. The Atlas of Genetics and -
Identification of Common Gene Networks Responsive To
Cancer Gene Therapy (2014) 21, 542–548 © 2014 Nature America, Inc. All rights reserved 0929-1903/14 www.nature.com/cgt ORIGINAL ARTICLE Identification of common gene networks responsive to radiotherapy in human cancer cells D-L Hou1, L Chen2, B Liu1, L-N Song1 and T Fang1 Identification of the genes that are differentially expressed between radiosensitive and radioresistant cancers by global gene analysis may help to elucidate the mechanisms underlying tumor radioresistance and improve the efficacy of radiotherapy. An integrated analysis was conducted using publicly available GEO datasets to detect differentially expressed genes (DEGs) between cancer cells exhibiting radioresistance and cancer cells exhibiting radiosensitivity. Gene Ontology (GO) enrichment analyses, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis and protein–protein interaction (PPI) networks analysis were also performed. Five GEO datasets including 16 samples of radiosensitive cancers and radioresistant cancers were obtained. A total of 688 DEGs across these studies were identified, of which 374 were upregulated and 314 were downregulated in radioresistant cancer cell. The most significantly enriched GO terms were regulation of transcription, DNA-dependent (GO: 0006355, P = 7.00E-09) for biological processes, while those for molecular functions was protein binding (GO: 0005515, P = 1.01E-28), and those for cellular component was cytoplasm (GO: 0005737, P = 2.81E-26). The most significantly enriched pathway in our KEGG analysis was Pathways in cancer (P = 4.20E-07). PPI network analysis showed that IFIH1 (Degree = 33) was selected as the most significant hub protein. This integrated analysis may help to predict responses to radiotherapy and may also provide insights into the development of individualized therapies and novel therapeutic targets. -
Characterization of Chronic Lymphocytic Leukemia by Acgh/MLPA
UNIVERSIDADE DE LISBOA FACULDADE DE CIÊNCIAS DEPARTAMENTO DE BIOLOGIA VEGETAL Characterization of Chronic Lymphocytic Leukemia by aCGH/MLPA Diana Cristina Antunes Candeias Adão Mestrado em Biologia Molecular e Genética Dissertação orientada por: Professora Doutora Isabel Maria Marques Carreira Professor Doutor Manuel Carmo Gomes 2018 Agradecimentos Começo por agradecer ao CIMAGO e à ACIMAGO por todo o apoio prestado no âmbito do desenvolvimento deste trabalho, tanto a nível logístico como financeiro. Agradeço também ao Laboratório de Citogenética e Genómica e ao Laboratório de Oncologia e Hematologia da FMUC, pelo fornecimento dos equipamentos e bens necessários à realização deste projeto. À Professora Doutora Isabel Marques Carreira, muito obrigada por me permitir desenvolver o meu projeto de tese de mestrado no Laboratório de Citogenética e Genómica da FMUC e por orientar este trabalho. Agradeço tudo o que me ensinou, o apoio e, acima de tudo, o exemplo que é como profissional na área da Genética Humana, que em muito contribuiu para o meu desenvolvimento e crescimento a nível académico e profissional. Ao Professor Doutor Manuel Carmo Gomes, pela sempre célere e incondicional orientação durante este ano. Mostrou-se sempre disponível para responder às minhas dúvidas e questões, e por isso demonstro o meu agradecimento. À Professora Doutora Ana Bela Sarmento Ribeiro, pela proposta que me apresentou para trabalhar no âmbito da Leucemia Linfocítica Crónica, pelo apoio nas correções necessárias, e pela possibilidade que me deu de realizar alguns passos do meu trabalho nas instalações do Laboratório de Oncologia e Hematologia da FMUC. Ao Miguel Pires, por todos os ensinamentos ao nível do trabalho laboratorial, pela enorme disponibilidade e apoio na realização desta tese, bem como pela amizade e conselhos que me deu. -
Chromosomal Microarray Analysis in Turkish Patients with Unexplained Developmental Delay and Intellectual Developmental Disorders
177 Arch Neuropsychitry 2020;57:177−191 RESEARCH ARTICLE https://doi.org/10.29399/npa.24890 Chromosomal Microarray Analysis in Turkish Patients with Unexplained Developmental Delay and Intellectual Developmental Disorders Hakan GÜRKAN1 , Emine İkbal ATLI1 , Engin ATLI1 , Leyla BOZATLI2 , Mengühan ARAZ ALTAY2 , Sinem YALÇINTEPE1 , Yasemin ÖZEN1 , Damla EKER1 , Çisem AKURUT1 , Selma DEMİR1 , Işık GÖRKER2 1Faculty of Medicine, Department of Medical Genetics, Edirne, Trakya University, Edirne, Turkey 2Faculty of Medicine, Department of Child and Adolescent Psychiatry, Trakya University, Edirne, Turkey ABSTRACT Introduction: Aneuploids, copy number variations (CNVs), and single in 39 (39/123=31.7%) patients. Twelve CNV variant of unknown nucleotide variants in specific genes are the main genetic causes of significance (VUS) (9.75%) patients and 7 CNV benign (5.69%) patients developmental delay (DD) and intellectual disability disorder (IDD). were reported. In 6 patients, one or more pathogenic CNVs were These genetic changes can be detected using chromosome analysis, determined. Therefore, the diagnostic efficiency of CMA was found to chromosomal microarray (CMA), and next-generation DNA sequencing be 31.7% (39/123). techniques. Therefore; In this study, we aimed to investigate the Conclusion: Today, genetic analysis is still not part of the routine in the importance of CMA in determining the genomic etiology of unexplained evaluation of IDD patients who present to psychiatry clinics. A genetic DD and IDD in 123 patients. diagnosis from CMA can eliminate genetic question marks and thus Method: For 123 patients, chromosome analysis, DNA fragment analysis alter the clinical management of patients. Approximately one-third and microarray were performed. Conventional G-band karyotype of the positive CMA findings are clinically intervenable. -
Patient-Derived Organoids and Orthotopic Xenografts of Primary and Recurrent Gliomas Represent Relevant Patient Avatars for Precision Oncology
Henry Ford Health System Henry Ford Health System Scholarly Commons Neurosurgery Articles Neurosurgery 12-1-2020 Patient-derived organoids and orthotopic xenografts of primary and recurrent gliomas represent relevant patient avatars for precision oncology Anna Golebiewska Ann-Christin Hau Anaïs Oudin Daniel Stieber Yahaya A. Yabo See next page for additional authors Follow this and additional works at: https://scholarlycommons.henryford.com/neurosurgery_articles Authors Anna Golebiewska, Ann-Christin Hau, Anaïs Oudin, Daniel Stieber, Yahaya A. Yabo, Virginie Baus, Vanessa Barthelemy, Eliane Klein, Sébastien Bougnaud, Olivier Keunen, May Wantz, Alessandro Michelucci, Virginie Neirinckx, Arnaud Muller, Tony Kaoma, Petr V. Nazarov, Francisco Azuaje, Alfonso De Falco, Ben Flies, Lorraine Richart, Suresh Poovathingal, Thais Arns, Kamil Grzyb, Andreas Mock, Christel Herold-Mende, Anne Steino, Dennis Brown, Patrick May, Hrvoje Miletic, Tathiane M. Malta, Houtan Noushmehr, Yong-Jun Kwon, Winnie Jahn, Barbara Klink, Georgette Tanner, Lucy F. Stead, Michel Mittelbronn, Alexander Skupin, Frank Hertel, Rolf Bjerkvig, and Simone P. Niclou Acta Neuropathologica (2020) 140:919–949 https://doi.org/10.1007/s00401-020-02226-7 ORIGINAL PAPER Patient‑derived organoids and orthotopic xenografts of primary and recurrent gliomas represent relevant patient avatars for precision oncology Anna Golebiewska1 · Ann‑Christin Hau1 · Anaïs Oudin1 · Daniel Stieber1,2 · Yahaya A. Yabo1,3 · Virginie Baus1 · Vanessa Barthelemy1 · Eliane Klein1 · Sébastien Bougnaud1 · Olivier Keunen1,4 · May Wantz1 · Alessandro Michelucci1,5,6 · Virginie Neirinckx1 · Arnaud Muller4 · Tony Kaoma4 · Petr V. Nazarov4 · Francisco Azuaje4 · Alfonso De Falco2,3,7 · Ben Flies2 · Lorraine Richart3,7,8,9 · Suresh Poovathingal6 · Thais Arns6 · Kamil Grzyb6 · Andreas Mock10,11,12,13 · Christel Herold‑Mende10 · Anne Steino14,15 · Dennis Brown14,15 · Patrick May6 · Hrvoje Miletic16,17 · Tathiane M. -
Prediction of Human Disease Genes by Human-Mouse Conserved Coexpression Analysis
Prediction of Human Disease Genes by Human-Mouse Conserved Coexpression Analysis Ugo Ala1., Rosario Michael Piro1., Elena Grassi1, Christian Damasco1, Lorenzo Silengo1, Martin Oti2, Paolo Provero1*, Ferdinando Di Cunto1* 1 Molecular Biotechnology Center, Department of Genetics, Biology and Biochemistry, University of Turin, Turin, Italy, 2 Department of Human Genetics and Centre for Molecular and Biomolecular Informatics, University Medical Centre Nijmegen, Nijmegen, The Netherlands Abstract Background: Even in the post-genomic era, the identification of candidate genes within loci associated with human genetic diseases is a very demanding task, because the critical region may typically contain hundreds of positional candidates. Since genes implicated in similar phenotypes tend to share very similar expression profiles, high throughput gene expression data may represent a very important resource to identify the best candidates for sequencing. However, so far, gene coexpression has not been used very successfully to prioritize positional candidates. Methodology/Principal Findings: We show that it is possible to reliably identify disease-relevant relationships among genes from massive microarray datasets by concentrating only on genes sharing similar expression profiles in both human and mouse. Moreover, we show systematically that the integration of human-mouse conserved coexpression with a phenotype similarity map allows the efficient identification of disease genes in large genomic regions. Finally, using this approach on 850 OMIM loci characterized by an unknown molecular basis, we propose high-probability candidates for 81 genetic diseases. Conclusion: Our results demonstrate that conserved coexpression, even at the human-mouse phylogenetic distance, represents a very strong criterion to predict disease-relevant relationships among human genes. Citation: Ala U, Piro RM, Grassi E, Damasco C, Silengo L, et al. -
Genetic Determinants of Ovarian Reserve
Genetic determinants of ovarian reserve Daniela Toniolo Daniela Toniolo DIBIT- San Raffaele Scientific Foundation Milano, Italy Women fertility starts to decrease around 30 years 1.2 1 0.8 0.6 0.4 0.2 Relative fertility Relative 0 20 25 30 35 40 45 50 Age (years) Woman ageetà (years) From Noord -Zaadstra et al. 2001 1 Premature Ovarian Failure Disorder of ovulation characterized by: Elevated levels of gonadotropins before the age of 40 Primary or secondary amernorrhea or early menopause Ovaries reduced or absent Ovarian follicles reduced or absent Corresponds to about 10% of female sterility Its relevance is increasing with the increase in the age of first child bearing Premature Ovarian Failure has a genetic basis 30-40% are familial cases Mutations in genes responsible for rare genetic forms inherited as autosomal recessive (FSHR), X-linked dominant (BMP15, NOBOX) and syndromic forms (FOXL2, E1F2b) very low epidemiologic relevance FRAXA premutation is a common risk-factor 20-30% of women with premutation have POF (OR=21; 95%CI:15-27) 3-5% of POF affected women carry a FRAXA premutated allele (about 13% of familial cases-about 2% of sporadic cases) POF seems to behave also as a complex disorder caused by several risk genetic factors 2 Large deletions of the X chromosome are associated with POF 6570 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 q11 q12 q13 q21 q22 q23 q24 q25 q26 q27 q28 Deletions no POF POF the rarity of small monosomies is in favor of a cumulative effect of the large deletions on several genes of the X chromosome long arm and of POF as a complex disorder 1.