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Mutations in CDK5RAP2 Cause Seckel Syndrome Go¨ Khan Yigit1,2,3,A, Karen E
ORIGINAL ARTICLE Mutations in CDK5RAP2 cause Seckel syndrome Go¨ khan Yigit1,2,3,a, Karen E. Brown4,a,Hu¨ lya Kayserili5, Esther Pohl1,2,3, Almuth Caliebe6, Diana Zahnleiter7, Elisabeth Rosser8, Nina Bo¨ gershausen1,2,3, Zehra Oya Uyguner5, Umut Altunoglu5, Gudrun Nu¨ rnberg2,3,9, Peter Nu¨ rnberg2,3,9, Anita Rauch10, Yun Li1,2,3, Christian Thomas Thiel7 & Bernd Wollnik1,2,3 1Institute of Human Genetics, University of Cologne, Cologne, Germany 2Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany 3Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany 4Chromosome Biology Group, MRC Clinical Sciences Centre, Imperial College School of Medicine, Hammersmith Hospital, London, W12 0NN, UK 5Department of Medical Genetics, Istanbul Medical Faculty, Istanbul University, Istanbul, Turkey 6Institute of Human Genetics, Christian-Albrechts-University of Kiel, Kiel, Germany 7Institute of Human Genetics, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany 8Department of Clinical Genetics, Great Ormond Street Hospital for Children, London, WC1N 3EH, UK 9Cologne Center for Genomics, University of Cologne, Cologne, Germany 10Institute of Medical Genetics, University of Zurich, Schwerzenbach-Zurich, Switzerland Keywords Abstract CDK5RAP2, CEP215, microcephaly, primordial dwarfism, Seckel syndrome Seckel syndrome is a heterogeneous, autosomal recessive disorder marked by pre- natal proportionate short stature, severe microcephaly, intellectual disability, and Correspondence characteristic facial features. Here, we describe the novel homozygous splice-site Bernd Wollnik, Center for Molecular mutations c.383+1G>C and c.4005-9A>GinCDK5RAP2 in two consanguineous Medicine Cologne (CMMC) and Institute of families with Seckel syndrome. CDK5RAP2 (CEP215) encodes a centrosomal pro- Human Genetics, University of Cologne, tein which is known to be essential for centrosomal cohesion and proper spindle Kerpener Str. -
Genetic Diagnosis in First Or Second Trimester Pregnancy Loss Using Exome Sequencing: a Systematic Review of Human Essential Genes
Journal of Assisted Reproduction and Genetics (2019) 36:1539–1548 https://doi.org/10.1007/s10815-019-01499-6 REVIEW Genetic diagnosis in first or second trimester pregnancy loss using exome sequencing: a systematic review of human essential genes Sarah M. Robbins1,2 & Matthew A. Thimm3 & David Valle1 & Angie C. Jelin4 Received: 18 December 2018 /Accepted: 29 May 2019 /Published online: 4 July 2019 # Springer Science+Business Media, LLC, part of Springer Nature 2019 Abstract Purpose Non-aneuploid recurrent pregnancy loss (RPL) affects approximately 100,000 pregnancies worldwide annually. Exome sequencing (ES) may help uncover the genetic etiology of RPL and, more generally, pregnancy loss as a whole. Previous studies have attempted to predict the genes that, when disrupted, may cause human embryonic lethality. However, predictions by these early studies rarely point to the same genes. Case reports of pathogenic variants identified in RPL cases offer another clue. We evaluated known genetic etiologies of RPL identified by ES. Methods We gathered primary research articles from PubMed and Embase involving case reports of RPL reporting variants identified by ES. Two authors independently reviewed all articles for eligibility and extracted data based on predetermined criteria. Preliminary and amended analysis isolated 380 articles; 15 met all inclusion criteria. Results These 15 articles described 74 families with 279 reported RPLs with 34 candidate pathogenic variants in 19 genes (NOP14, FOXP3, APAF1, CASP9, CHRNA1, NLRP5, MMP10, FGA, FLT1, EPAS1, IDO2, STIL, DYNC2H1, IFT122, PA DI6, CAPS, MUSK, NLRP2, NLRP7) and 26 variants of unknown significance in 25 genes. These genes cluster in four essential pathways: (1) gene expression, (2) embryonic development, (3) mitosis and cell cycle progression, and (4) inflammation and immunity. -
Identification of Common Key Genes in Breast, Lung and Prostate Cancer and Exploration of Their Heterogeneous Expression
1680 ONCOLOGY LETTERS 15: 1680-1690, 2018 Identification of common key genes in breast, lung and prostate cancer and exploration of their heterogeneous expression RICHA K. MAKHIJANI1, SHITAL A. RAUT1 and HEMANT J. PUROHIT2 1Department of Computer Science and Engineering, Visvesvaraya National Institute of Technology, Nagpur, Maharashtra 440010; 2Environmental Genomics Division, National Environmental Engineering Research Institute, Nagpur, Maharashtra 440020, India Received March 8, 2017; Accepted October 20, 2017 DOI: 10.3892/ol.2017.7508 Abstract. Cancer is one of the leading causes of mortality cancer and may be used as biomarkers for the development of worldwide, and in particular, breast cancer in women, prostate novel diagnostic and therapeutic strategies. cancer in men, and lung cancer in both women and men. The present study aimed to identify a common set of genes which Introduction may serve as indicators of important molecular and cellular processes in breast, prostate and lung cancer. Six microarray The highest rates of cancer-related mortality are associated gene expression profile datasets [GSE45827, GSE48984, with breast, prostate and lung cancer, as reported by the World GSE19804, GSE10072, GSE55945 and GSE26910 (two Health Organization (1), the World Cancer Report (2) and datasets for each cancer)] and one RNA-Seq expression dataset Cancer facts and figures (3) A plethora of cancer microarray (GSE62944 including all three cancer types), were downloaded and RNA sequencing (RNA-Seq) studies are publicly avail- from the Gene Expression Omnibus database. Differentially able in databases, including the Gene Expression Omnibus expressed genes (DEGs) were identified in each individual (GEO) (4), Array Express (5) and The Cancer Genome Atlas cancer type using the LIMMA statistical package in R, and (TCGA; http://cancergenome.nih.gov/). -
Par6c Is at the Mother Centriole and Controls Centrosomal Protein
860 Research Article Par6c is at the mother centriole and controls centrosomal protein composition through a Par6a-dependent pathway Vale´rian Dormoy, Kati Tormanen and Christine Su¨ tterlin* Department of Developmental and Cell Biology, University of California, Irvine, Irvine, CA 92697-2300, USA *Author for correspondence ([email protected]) Accepted 3 December 2012 Journal of Cell Science 126, 860–870 ß 2013. Published by The Company of Biologists Ltd doi: 10.1242/jcs.121186 Summary The centrosome contains two centrioles that differ in age, protein composition and function. This non-membrane bound organelle is known to regulate microtubule organization in dividing cells and ciliogenesis in quiescent cells. These specific roles depend on protein appendages at the older, or mother, centriole. In this study, we identified the polarity protein partitioning defective 6 homolog gamma (Par6c) as a novel component of the mother centriole. This specific localization required the Par6c C-terminus, but was independent of intact microtubules, the dynein/dynactin complex and the components of the PAR polarity complex. Par6c depletion resulted in altered centrosomal protein composition, with the loss of a large number of proteins, including Par6a and p150Glued, from the centrosome. As a consequence, there were defects in ciliogenesis, microtubule organization and centrosome reorientation during migration. Par6c interacted with Par3 and aPKC, but these proteins were not required for the regulation of centrosomal protein composition. Par6c also associated with Par6a, which controls protein recruitment to the centrosome through p150Glued. Our study is the first to identify Par6c as a component of the mother centriole and to report a role of a mother centriole protein in the regulation of centrosomal protein composition. -
Supplemental Information Proximity Interactions Among Centrosome
Current Biology, Volume 24 Supplemental Information Proximity Interactions among Centrosome Components Identify Regulators of Centriole Duplication Elif Nur Firat-Karalar, Navin Rauniyar, John R. Yates III, and Tim Stearns Figure S1 A Myc Streptavidin -tubulin Merge Myc Streptavidin -tubulin Merge BirA*-PLK4 BirA*-CEP63 BirA*- CEP192 BirA*- CEP152 - BirA*-CCDC67 BirA* CEP152 CPAP BirA*- B C Streptavidin PCM1 Merge Myc-BirA* -CEP63 PCM1 -tubulin Merge BirA*- CEP63 DMSO - BirA* CEP63 nocodazole BirA*- CCDC67 Figure S2 A GFP – + – + GFP-CEP152 + – + – Myc-CDK5RAP2 + + + + (225 kDa) Myc-CDK5RAP2 (216 kDa) GFP-CEP152 (27 kDa) GFP Input (5%) IP: GFP B GFP-CEP152 truncation proteins Inputs (5%) IP: GFP kDa 1-7481-10441-1290218-1654749-16541045-16541-7481-10441-1290218-1654749-16541045-1654 250- Myc-CDK5RAP2 150- 150- 100- 75- GFP-CEP152 Figure S3 A B CEP63 – – + – – + GFP CCDC14 KIAA0753 Centrosome + – – + – – GFP-CCDC14 CEP152 binding binding binding targeting – + – – + – GFP-KIAA0753 GFP-KIAA0753 (140 kDa) 1-496 N M C 150- 100- GFP-CCDC14 (115 kDa) 1-424 N M – 136-496 M C – 50- CEP63 (63 kDa) 1-135 N – 37- GFP (27 kDa) 136-424 M – kDa 425-496 C – – Inputs (2%) IP: GFP C GFP-CEP63 truncation proteins D GFP-CEP63 truncation proteins Inputs (5%) IP: GFP Inputs (5%) IP: GFP kDa kDa 1-135136-424425-4961-424136-496FL Ctl 1-135136-424425-4961-424136-496FL Ctl 1-135136-424425-4961-424136-496FL Ctl 1-135136-424425-4961-424136-496FL Ctl Myc- 150- Myc- 100- CCDC14 KIAA0753 100- 100- 75- 75- GFP- GFP- 50- CEP63 50- CEP63 37- 37- Figure S4 A siCtl -
Genomic and Expression Profiling of Chromosome 17 in Breast Cancer Reveals Complex Patterns of Alterations and Novel Candidate Genes
[CANCER RESEARCH 64, 6453–6460, September 15, 2004] Genomic and Expression Profiling of Chromosome 17 in Breast Cancer Reveals Complex Patterns of Alterations and Novel Candidate Genes Be´atrice Orsetti,1 Me´lanie Nugoli,1 Nathalie Cervera,1 Laurence Lasorsa,1 Paul Chuchana,1 Lisa Ursule,1 Catherine Nguyen,2 Richard Redon,3 Stanislas du Manoir,3 Carmen Rodriguez,1 and Charles Theillet1 1Ge´notypes et Phe´notypes Tumoraux, EMI229 INSERM/Universite´ Montpellier I, Montpellier, France; 2ERM 206 INSERM/Universite´ Aix-Marseille 2, Parc Scientifique de Luminy, Marseille cedex, France; and 3IGBMC, U596 INSERM/Universite´Louis Pasteur, Parc d’Innovation, Illkirch cedex, France ABSTRACT 17q12-q21 corresponding to the amplification of ERBB2 and collinear genes, and a large region at 17q23 (5, 6). A number of new candidate Chromosome 17 is severely rearranged in breast cancer. Whereas the oncogenes have been identified, among which GRB7 and TOP2A at short arm undergoes frequent losses, the long arm harbors complex 17q21 or RP6SKB1, TBX2, PPM1D, and MUL at 17q23 have drawn combinations of gains and losses. In this work we present a comprehensive study of quantitative anomalies at chromosome 17 by genomic array- most attention (6–10). Furthermore, DNA microarray studies have comparative genomic hybridization and of associated RNA expression revealed additional candidates, with some located outside current changes by cDNA arrays. We built a genomic array covering the entire regions of gains, thus suggesting the existence of additional amplicons chromosome at an average density of 1 clone per 0.5 Mb, and patterns of on 17q (8, 9). gains and losses were characterized in 30 breast cancer cell lines and 22 Our previous loss of heterozygosity mapping data pointed to the primary tumors. -
Dissertation
Aus dem Institut für Medizinische Genetik und Humangenetik der Medizinischen Fakultät Charité – Universitätsmedizin Berlin DISSERTATION Molecular genetic and cytogenetic analyses of autosomal recessive primary microcephaly (MCPH): Mouse model, new locus and novel mutations zur Erlangung des akademischen Grades Doctor of Philosophy in Medical Neurosciences (PhD in Medical Neurosciences) vorgelegt der Medizinischen Fakultät Charité – Universitätsmedizin Berlin Mahdi Ghani-Kakhki aus dem IRAN Gutachter: 1) Prof. Dr. K. Sperling 2) Prof. Dr. med. E. Schröck 3) Prof. Dr. med. E. Schwinger Datum der Promotion: 01.02.2013 Table of Contents Zusammenfassung ........................................................................................................................................ 4 Abstract ....................................................................................................................................................... 5 Introduction ................................................................................................................................................. 6 Aims of the PhD thesis .................................................................................................................................. 6 Hypotheses .................................................................................................................................................. 7 Methods...................................................................................................................................................... -
Supplementary Data
SUPPLEMENTARY DATA A cyclin D1-dependent transcriptional program predicts clinical outcome in mantle cell lymphoma Santiago Demajo et al. 1 SUPPLEMENTARY DATA INDEX Supplementary Methods p. 3 Supplementary References p. 8 Supplementary Tables (S1 to S5) p. 9 Supplementary Figures (S1 to S15) p. 17 2 SUPPLEMENTARY METHODS Western blot, immunoprecipitation, and qRT-PCR Western blot (WB) analysis was performed as previously described (1), using cyclin D1 (Santa Cruz Biotechnology, sc-753, RRID:AB_2070433) and tubulin (Sigma-Aldrich, T5168, RRID:AB_477579) antibodies. Co-immunoprecipitation assays were performed as described before (2), using cyclin D1 antibody (Santa Cruz Biotechnology, sc-8396, RRID:AB_627344) or control IgG (Santa Cruz Biotechnology, sc-2025, RRID:AB_737182) followed by protein G- magnetic beads (Invitrogen) incubation and elution with Glycine 100mM pH=2.5. Co-IP experiments were performed within five weeks after cell thawing. Cyclin D1 (Santa Cruz Biotechnology, sc-753), E2F4 (Bethyl, A302-134A, RRID:AB_1720353), FOXM1 (Santa Cruz Biotechnology, sc-502, RRID:AB_631523), and CBP (Santa Cruz Biotechnology, sc-7300, RRID:AB_626817) antibodies were used for WB detection. In figure 1A and supplementary figure S2A, the same blot was probed with cyclin D1 and tubulin antibodies by cutting the membrane. In figure 2H, cyclin D1 and CBP blots correspond to the same membrane while E2F4 and FOXM1 blots correspond to an independent membrane. Image acquisition was performed with ImageQuant LAS 4000 mini (GE Healthcare). Image processing and quantification were performed with Multi Gauge software (Fujifilm). For qRT-PCR analysis, cDNA was generated from 1 µg RNA with qScript cDNA Synthesis kit (Quantabio). qRT–PCR reaction was performed using SYBR green (Roche). -
Gamma Tubulin (TUBG1) (NM 001070) Human Untagged Clone Product Data
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for SC119462 gamma Tubulin (TUBG1) (NM_001070) Human Untagged Clone Product data: Product Type: Expression Plasmids Product Name: gamma Tubulin (TUBG1) (NM_001070) Human Untagged Clone Tag: Tag Free Symbol: TUBG1 Synonyms: CDCBM4; GCP-1; TUBG; TUBGCP1 Vector: pCMV6-XL5 E. coli Selection: Ampicillin (100 ug/mL) Cell Selection: None Fully Sequenced ORF: >OriGene ORF within SC119462 sequence for NM_001070 edited (data generated by NextGen Sequencing) ATGCCGAGGGAAATCATCACCCTACAGTTGGGCCAGTGCGGCAATCAGATTGGGTTCGAG TTCTGGAAACAGCTGTGCGCCGAGCATGGTATCAGCCCCGAGGGCATCGTGGAGGAGTTC GCCACCGAGGGCACTGACCGCAAGGACGTCTTTTTCTACCAGGCAGACGATGAGCACTAC ATCCCCCGGGCCGTGCTGCTGGACTTGGAACCCCGGGTGATCCACTCCATCCTCAACTCC CCCTATGCCAAGCTCTACAACCCAGAGAACATCTACCTGTCGGAACATGGAGGAGGAGCT GGCAACAACTGGGCCAGCGGATTCTCCCAGGGAGAAAAGATCCATGAGGACATTTTTGAC ATCATAGACCGGGAGGCAGATGGTAGTGACAGTCTAGAGGGCTTTGTGCTGTGTCACTCC ATTGCTGGGGGGACAGGCTCTGGACTGGGTTCCTACCTCTTAGAACGGCTGAATGACAGG TATCCTAAGAAGCTGGTGCAGACATACTCAGTGTTTCCCAACCAGGACGAGATGAGCGAT GTGGTGGTCCAGCCTTACAATTCACTCCTCACACTCAAGAGGCTGACGCAGAATGCAGAC TGTGTGGTGGTGCTGGACAACACAGCCCTGAACCGGATTGCCACAGACCGCCTGCACATC CAGAACCCATCCTTCTCCCAGATCAACCAGCTGGTGTCTACCATCATGTCAGCCAGCACC ACCACCCTGCGCTACCCTGGCTACATGAACAATGACCTCATCGGCCTCATCGCCTCGCTC ATTCCCACCCCACGGCTCCACTTCCTCATGACCGGCTACACCCCTCTCACTACGGACCAG TCAGTGGCCAGCGTGAGGAAGACCACGGTCCTGGATGTCATGAGGCGGCTGCTGCAGCCC -
Supplementary Table S1. Correlation Between the Mutant P53-Interacting Partners and PTTG3P, PTTG1 and PTTG2, Based on Data from Starbase V3.0 Database
Supplementary Table S1. Correlation between the mutant p53-interacting partners and PTTG3P, PTTG1 and PTTG2, based on data from StarBase v3.0 database. PTTG3P PTTG1 PTTG2 Gene ID Coefficient-R p-value Coefficient-R p-value Coefficient-R p-value NF-YA ENSG00000001167 −0.077 8.59e-2 −0.210 2.09e-6 −0.122 6.23e-3 NF-YB ENSG00000120837 0.176 7.12e-5 0.227 2.82e-7 0.094 3.59e-2 NF-YC ENSG00000066136 0.124 5.45e-3 0.124 5.40e-3 0.051 2.51e-1 Sp1 ENSG00000185591 −0.014 7.50e-1 −0.201 5.82e-6 −0.072 1.07e-1 Ets-1 ENSG00000134954 −0.096 3.14e-2 −0.257 4.83e-9 0.034 4.46e-1 VDR ENSG00000111424 −0.091 4.10e-2 −0.216 1.03e-6 0.014 7.48e-1 SREBP-2 ENSG00000198911 −0.064 1.53e-1 −0.147 9.27e-4 −0.073 1.01e-1 TopBP1 ENSG00000163781 0.067 1.36e-1 0.051 2.57e-1 −0.020 6.57e-1 Pin1 ENSG00000127445 0.250 1.40e-8 0.571 9.56e-45 0.187 2.52e-5 MRE11 ENSG00000020922 0.063 1.56e-1 −0.007 8.81e-1 −0.024 5.93e-1 PML ENSG00000140464 0.072 1.05e-1 0.217 9.36e-7 0.166 1.85e-4 p63 ENSG00000073282 −0.120 7.04e-3 −0.283 1.08e-10 −0.198 7.71e-6 p73 ENSG00000078900 0.104 2.03e-2 0.258 4.67e-9 0.097 3.02e-2 Supplementary Table S2. -
Molecular Genetics of Microcephaly Primary Hereditary: an Overview
brain sciences Review Molecular Genetics of Microcephaly Primary Hereditary: An Overview Nikistratos Siskos † , Electra Stylianopoulou †, Georgios Skavdis and Maria E. Grigoriou * Department of Molecular Biology & Genetics, Democritus University of Thrace, 68100 Alexandroupolis, Greece; [email protected] (N.S.); [email protected] (E.S.); [email protected] (G.S.) * Correspondence: [email protected] † Equal contribution. Abstract: MicroCephaly Primary Hereditary (MCPH) is a rare congenital neurodevelopmental disorder characterized by a significant reduction of the occipitofrontal head circumference and mild to moderate mental disability. Patients have small brains, though with overall normal architecture; therefore, studying MCPH can reveal not only the pathological mechanisms leading to this condition, but also the mechanisms operating during normal development. MCPH is genetically heterogeneous, with 27 genes listed so far in the Online Mendelian Inheritance in Man (OMIM) database. In this review, we discuss the role of MCPH proteins and delineate the molecular mechanisms and common pathways in which they participate. Keywords: microcephaly; MCPH; MCPH1–MCPH27; molecular genetics; cell cycle 1. Introduction Citation: Siskos, N.; Stylianopoulou, Microcephaly, from the Greek word µικρoκεϕαλi´α (mikrokephalia), meaning small E.; Skavdis, G.; Grigoriou, M.E. head, is a term used to describe a cranium with reduction of the occipitofrontal head circum- Molecular Genetics of Microcephaly ference equal, or more that teo standard deviations -
Centrosome Impairment Causes DNA Replication Stress Through MLK3
bioRxiv preprint doi: https://doi.org/10.1101/2020.01.09.898684; this version posted January 10, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Centrosome impairment causes DNA replication stress through MLK3/MK2 signaling and R-loop formation Zainab Tayeh 1, Kim Stegmann 1, Antonia Kleeberg 1, Mascha Friedrich 1, Josephine Ann Mun Yee Choo 1, Bernd Wollnik 2, and Matthias Dobbelstein 1* 1) Institute of Molecular Oncology, Göttingen Center of Molecular Biosciences (GZMB), University Medical Center Göttingen, Göttingen, Germany 2) Institute of Human Genetics, University Medical Center Göttingen, Göttingen, Germany *Lead Contact. Correspondence and requests for materials should be addressed to M. D. (e-mail: [email protected]; ORCID 0000-0001-5052-3967) Running title: Centrosome integrity supports DNA replication Key words: Centrosome, CEP152, CCP110, SASS6, CEP152, Polo-like kinase 4 (PLK4), DNA replication, DNA fiber assays, R-loops, MLK3, MK2 alias MAPKAPK2, Seckel syndrome, microcephaly. Highlights: • Centrosome defects cause replication stress independent of mitosis. • MLK3, p38 and MK2 (alias MAPKAPK2) are signalling between centrosome defects and DNA replication stress through R-loop formation. • Patient-derived cells with defective centrosomes display replication stress, whereas inhibition of MK2 restores their DNA replication fork progression and proliferation. 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.01.09.898684; this version posted January 10, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.