TRIM37 Prevents Formation of Centriolar Protein Assemblies By
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Title a New Centrosomal Protein Regulates Neurogenesis By
Title A new centrosomal protein regulates neurogenesis by microtubule organization Authors: Germán Camargo Ortega1-3†, Sven Falk1,2†, Pia A. Johansson1,2†, Elise Peyre4, Sanjeeb Kumar Sahu5, Loïc Broic4, Camino De Juan Romero6, Kalina Draganova1,2, Stanislav Vinopal7, Kaviya Chinnappa1‡, Anna Gavranovic1, Tugay Karakaya1, Juliane Merl-Pham8, Arie Geerlof9, Regina Feederle10,11, Wei Shao12,13, Song-Hai Shi12,13, Stefanie M. Hauck8, Frank Bradke7, Victor Borrell6, Vijay K. Tiwari§, Wieland B. Huttner14, Michaela Wilsch- Bräuninger14, Laurent Nguyen4 and Magdalena Götz1,2,11* Affiliations: 1. Institute of Stem Cell Research, Helmholtz Center Munich, German Research Center for Environmental Health, Munich, Germany. 2. Physiological Genomics, Biomedical Center, Ludwig-Maximilian University Munich, Germany. 3. Graduate School of Systemic Neurosciences, Biocenter, Ludwig-Maximilian University Munich, Germany. 4. GIGA-Neurosciences, Molecular regulation of neurogenesis, University of Liège, Belgium 5. Institute of Molecular Biology (IMB), Mainz, Germany. 6. Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas and Universidad Miguel Hernández, Sant Joan d’Alacant, Spain. 7. Laboratory for Axon Growth and Regeneration, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany. 8. Research Unit Protein Science, Helmholtz Centre Munich, German Research Center for Environmental Health, Munich, Germany. 9. Protein Expression and Purification Facility, Institute of Structural Biology, Helmholtz Center Munich, German Research Center for Environmental Health, Munich, Germany. 10. Institute for Diabetes and Obesity, Monoclonal Antibody Core Facility, Helmholtz Center Munich, German Research Center for Environmental Health, Munich, Germany. 11. SYNERGY, Excellence Cluster of Systems Neurology, Biomedical Center, Ludwig- Maximilian University Munich, Germany. 12. Developmental Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, USA 13. -
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. -
Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino-Like Mouse Models: Tracking the Role of the Hairless Gene
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Doctoral Dissertations Graduate School 5-2006 Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino-like Mouse Models: Tracking the Role of the Hairless Gene Yutao Liu University of Tennessee - Knoxville Follow this and additional works at: https://trace.tennessee.edu/utk_graddiss Part of the Life Sciences Commons Recommended Citation Liu, Yutao, "Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino- like Mouse Models: Tracking the Role of the Hairless Gene. " PhD diss., University of Tennessee, 2006. https://trace.tennessee.edu/utk_graddiss/1824 This Dissertation is brought to you for free and open access by the Graduate School at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Doctoral Dissertations by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. To the Graduate Council: I am submitting herewith a dissertation written by Yutao Liu entitled "Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino-like Mouse Models: Tracking the Role of the Hairless Gene." I have examined the final electronic copy of this dissertation for form and content and recommend that it be accepted in partial fulfillment of the requirements for the degree of Doctor of Philosophy, with a major in Life Sciences. Brynn H. Voy, Major Professor We have read this dissertation and recommend its acceptance: Naima Moustaid-Moussa, Yisong Wang, Rogert Hettich Accepted for the Council: Carolyn R. -
Protein Interaction Network of Alternatively Spliced Isoforms from Brain Links Genetic Risk Factors for Autism
ARTICLE Received 24 Aug 2013 | Accepted 14 Mar 2014 | Published 11 Apr 2014 DOI: 10.1038/ncomms4650 OPEN Protein interaction network of alternatively spliced isoforms from brain links genetic risk factors for autism Roser Corominas1,*, Xinping Yang2,3,*, Guan Ning Lin1,*, Shuli Kang1,*, Yun Shen2,3, Lila Ghamsari2,3,w, Martin Broly2,3, Maria Rodriguez2,3, Stanley Tam2,3, Shelly A. Trigg2,3,w, Changyu Fan2,3, Song Yi2,3, Murat Tasan4, Irma Lemmens5, Xingyan Kuang6, Nan Zhao6, Dheeraj Malhotra7, Jacob J. Michaelson7,w, Vladimir Vacic8, Michael A. Calderwood2,3, Frederick P. Roth2,3,4, Jan Tavernier5, Steve Horvath9, Kourosh Salehi-Ashtiani2,3,w, Dmitry Korkin6, Jonathan Sebat7, David E. Hill2,3, Tong Hao2,3, Marc Vidal2,3 & Lilia M. Iakoucheva1 Increased risk for autism spectrum disorders (ASD) is attributed to hundreds of genetic loci. The convergence of ASD variants have been investigated using various approaches, including protein interactions extracted from the published literature. However, these datasets are frequently incomplete, carry biases and are limited to interactions of a single splicing isoform, which may not be expressed in the disease-relevant tissue. Here we introduce a new interactome mapping approach by experimentally identifying interactions between brain-expressed alternatively spliced variants of ASD risk factors. The Autism Spliceform Interaction Network reveals that almost half of the detected interactions and about 30% of the newly identified interacting partners represent contribution from splicing variants, emphasizing the importance of isoform networks. Isoform interactions greatly contribute to establishing direct physical connections between proteins from the de novo autism CNVs. Our findings demonstrate the critical role of spliceform networks for translating genetic knowledge into a better understanding of human diseases. -
Seq2pathway Vignette
seq2pathway Vignette Bin Wang, Xinan Holly Yang, Arjun Kinstlick May 19, 2021 Contents 1 Abstract 1 2 Package Installation 2 3 runseq2pathway 2 4 Two main functions 3 4.1 seq2gene . .3 4.1.1 seq2gene flowchart . .3 4.1.2 runseq2gene inputs/parameters . .5 4.1.3 runseq2gene outputs . .8 4.2 gene2pathway . 10 4.2.1 gene2pathway flowchart . 11 4.2.2 gene2pathway test inputs/parameters . 11 4.2.3 gene2pathway test outputs . 12 5 Examples 13 5.1 ChIP-seq data analysis . 13 5.1.1 Map ChIP-seq enriched peaks to genes using runseq2gene .................... 13 5.1.2 Discover enriched GO terms using gene2pathway_test with gene scores . 15 5.1.3 Discover enriched GO terms using Fisher's Exact test without gene scores . 17 5.1.4 Add description for genes . 20 5.2 RNA-seq data analysis . 20 6 R environment session 23 1 Abstract Seq2pathway is a novel computational tool to analyze functional gene-sets (including signaling pathways) using variable next-generation sequencing data[1]. Integral to this tool are the \seq2gene" and \gene2pathway" components in series that infer a quantitative pathway-level profile for each sample. The seq2gene function assigns phenotype-associated significance of genomic regions to gene-level scores, where the significance could be p-values of SNPs or point mutations, protein-binding affinity, or transcriptional expression level. The seq2gene function has the feasibility to assign non-exon regions to a range of neighboring genes besides the nearest one, thus facilitating the study of functional non-coding elements[2]. Then the gene2pathway summarizes gene-level measurements to pathway-level scores, comparing the quantity of significance for gene members within a pathway with those outside a pathway. -
Supplementary Information Integrative Analyses of Splicing in the Aging Brain: Role in Susceptibility to Alzheimer’S Disease
Supplementary Information Integrative analyses of splicing in the aging brain: role in susceptibility to Alzheimer’s Disease Contents 1. Supplementary Notes 1.1. Religious Orders Study and Memory and Aging Project 1.2. Mount Sinai Brain Bank Alzheimer’s Disease 1.3. CommonMind Consortium 1.4. Data Availability 2. Supplementary Tables 3. Supplementary Figures Note: Supplementary Tables are provided as separate Excel files. 1. Supplementary Notes 1.1. Religious Orders Study and Memory and Aging Project Gene expression data1. Gene expression data were generated using RNA- sequencing from Dorsolateral Prefrontal Cortex (DLPFC) of 540 individuals, at an average sequence depth of 90M reads. Detailed description of data generation and processing was previously described2 (Mostafavi, Gaiteri et al., under review). Samples were submitted to the Broad Institute’s Genomics Platform for transcriptome analysis following the dUTP protocol with Poly(A) selection developed by Levin and colleagues3. All samples were chosen to pass two initial quality filters: RNA integrity (RIN) score >5 and quantity threshold of 5 ug (and were selected from a larger set of 724 samples). Sequencing was performed on the Illumina HiSeq with 101bp paired-end reads and achieved coverage of 150M reads of the first 12 samples. These 12 samples will serve as a deep coverage reference and included 2 males and 2 females of nonimpaired, mild cognitive impaired, and Alzheimer's cases. The remaining samples were sequenced with target coverage of 50M reads; the mean coverage for the samples passing QC is 95 million reads (median 90 million reads). The libraries were constructed and pooled according to the RIN scores such that similar RIN scores would be pooled together. -
Alkylaminophenol and GPR17 Agonist for Glioblastoma Therapy: a Combinational Approach for Enhanced Cell Death Activity
cells Article Alkylaminophenol and GPR17 Agonist for Glioblastoma Therapy: A Combinational Approach for Enhanced Cell Death Activity Phuong Doan 1,2,3, Phung Nguyen 1,2,3, Akshaya Murugesan 1,2,4, Nuno R. Candeias 5 , Olli Yli-Harja 2,3,6,7 and Meenakshisundaram Kandhavelu 1,2,3,* 1 Molecular Signaling Group, Faculty of Medicine and Health Technology, Tampere University, P.O. Box 553, 33101 Tampere, Finland; phuong.doan@tuni.fi (P.D.); phunghatien.nguyen@tuni.fi (P.N.); akshaya.murugesan@tuni.fi (A.M.) 2 BioMediTech Institute and Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, 33520 Tampere, Finland; olli.yli-harja@tuni.fi 3 Science Center, Tampere University Hospital, Arvo Ylpön katu 34, 33520 Tampere, Finland 4 Department of Biotechnology, Lady Doak College, Thallakulam, Madurai 625002, India 5 Faculty of Engineering and Natural Sciences, Tampere University, P.O. Box 553, 33101 Tampere, Finland; [email protected] 6 Computational Systems Biology Group, Faculty of Medicine and Health Technology, Tampere University, P.O. Box 553, 33101 Tampere, Finland 7 Institute for Systems Biology, 1441N 34th Street, Seattle, WA 98103, USA * Correspondence: meenakshisundaram.kandhavelu@tuni.fi; Tel.: +358-504-721-724 Abstract: Drug resistance and tumor heterogeneity limits the therapeutic efficacy in treating glioblastoma, Citation: Doan, P.; Nguyen, P.; an aggressive infiltrative type of brain tumor. GBM cells develops resistance against chemotherapeutic Murugesan, A.; Candeias, N.R.; agent, temozolomide (TMZ), which leads to the failure in treatment strategies. This enduring challenge of Yli-Harja, O.; Kandhavelu, M. GBM drug resistance could be rational by combinatorial targeted therapy. -
Niels C. Bols Autobiographical Sketch / July 2017
Niels C. Bols Autobiographical sketch / July 2017 The invitromatics of RTgill-W1: A star of the rainbow trout invitrome with a bright invitroomic future We recently introduced to in vitro biology three new terms: invitromatics, invitrome, and invitroomics (PMID:28374170). Starting with invitromatics, I would like to illustrate these terms, using as an example the rainbow trout gill epithelial cell line, RTgill-W1 (DOI:10.1111/j.1365-2761.1994.tb00258.x). Invitromatics is the science and history of establishing, characterizing, engineering, storing, and distributing cell lines. Part of invitromatics includes compiling information on cell lines and making this data easily accessible through resources such as the Cellosaurus. The scientists involved might be called invitromaticists or invitromaticians. The history of most cell lines is likely to be anecdotal and could include the biographies of the scientists as well as narratives on development, characterization, storage and distribution of the cell line. For the history of RTgill-W1, I will begin with myself and end with RTgill-W1 in the American Type Culture collection (ATCC). I was born in Revelstoke BC Canada and raised in Webster’s Corners BC. I received my BSc from Simon Fraser University (SFU) and was trained as a cell biologist for my MSc and PhD with respectively Dr Hal Kasinsky at UBC and Dr Art Zimmerman at University of Toronto. I learned about animal cell culturing in the mid-1970s as a postdoc in the laboratory of Dr Nils Ringertz in the Department of Medical Cell Genetics at the Karolinska Institutet, Stockholm, Sweden. In September 1977, I became a faculty member in the Department of Biology at the University of Waterloo (UW) in Ontario Canada and for a few years afterwards continued to work with human fibroblasts. -
Cep57, a NEDD1-Binding Pericentriolar Material Component, Is Essential for Spindle Pole Integrity
Cell Research (2012) :1-12. © 2012 IBCB, SIBS, CAS All rights reserved 1001-0602/12 $ 32.00 npg ORIGINAL ARTICLE www.nature.com/cr Cep57, a NEDD1-binding pericentriolar material component, is essential for spindle pole integrity Qixi Wu1, *, Runsheng He1, *, Haining Zhou1, Albert CH Yu2, Bo Zhang1, Junlin Teng1, Jianguo Chen1, 3 1The State Key Laboratory of Biomembrane and Membrane Bioengineering and The Key Laboratory of Cell Proliferation and Dif- ferentiation of Ministry of Education, College of Life Sciences, Peking University, Beijing 100871, China; 2Department of Neurobi- ology, Neuroscience Research Institute, School of Basic Medical Sciences, Peking University, Beijing 100191, China; 3The Center for Theoretical Biology, Peking University, Beijing 100871, China Formation of a bipolar spindle is indispensable for faithful chromosome segregation and cell division. Spindle in- tegrity is largely dependent on the centrosome and the microtubule network. Centrosome protein Cep57 can bundle microtubules in mammalian cells. Its related protein (Cep57R) in Xenopus was characterized as a stabilization factor for microtubule-kinetochore attachment. Here we show that Cep57 is a pericentriolar material (PCM) component. Its interaction with NEDD1 is necessary for the centrosome localization of Cep57. Depletion of Cep57 leads to unaligned chromosomes and a multipolar spindle, which is induced by PCM fragmentation. In the absence of Cep57, cen- trosome microtubule array assembly activity is weakened, and the spindle length and microtubule density decrease. As a spindle microtubule-binding protein, Cep57 is also responsible for the proper organization of the spindle micro- tubule and localization of spindle pole focusing proteins. Collectively, these results suggest that Cep57, as a NEDD1- binding centrosome component, could function as a spindle pole- and microtubule-stabilizing factor for establishing robust spindle architecture. -
Anatomy of the Axon
Anatomy of the Axon: Dissecting the role of microtubule plus-end tracking proteins in axons of hippocampal neurons ISBN: 978-90-393-7095-7 On the cover: Interpretation of Rembrandt van Rijn’s iconic oil painting The Anatomy Lesson of Dr. Nicolaes Tulp (1632). Instead of a human subject, a neuron is being dissected under the watchful eye of members of the Hoogenraad & Akhmanova labs circa 2018. The doctoral candidate takes on the role of Dr. Nicolaes Tulp. The year in which this thesis is published, 2019, marks the 350th anniversary of Rembrandt’s passing. It is therefore declared Year of Rembrandt. Cover photography: Jasper Landman (Bob & Fzbl Photography) Design and layout: Dieudonnée van de Willige © 2019; CC-BY-NC-ND. Printed in The Netherlands. Anatomy of the Axon: Dissecting the role of microtubule plus-end tracking proteins in axons of hippocampal neurons Anatomie van de Axon: Ontleding van de rol van microtubulus-plus-eind-bindende eiwitten in axonen van hippocampale neuronen (met een samenvatting in het Nederlands) Proefschrift ter verkrijging van de graad van doctor aan de Universiteit Utrecht op gezag van de rector magnificus, prof.dr. H.R.B.M. Kummeling, ingevolge het besluit van het college voor promoties in het openbaar te verdedigen op woensdag 22 mei 2019 des middags te 2.30 uur door Dieudonnée van de Willige geboren op 24 oktober 1990 te Antwerpen, België Promotoren: Prof. dr. C.C. Hoogenraad Prof. dr. A. Akhmanova Voor Hans & Miranda Index Preface 7 List of non-standard abbreviations 9 Microtubule plus-end tracking proteins -
Supplemental Information
Supplemental information Dissection of the genomic structure of the miR-183/96/182 gene. Previously, we showed that the miR-183/96/182 cluster is an intergenic miRNA cluster, located in a ~60-kb interval between the genes encoding nuclear respiratory factor-1 (Nrf1) and ubiquitin-conjugating enzyme E2H (Ube2h) on mouse chr6qA3.3 (1). To start to uncover the genomic structure of the miR- 183/96/182 gene, we first studied genomic features around miR-183/96/182 in the UCSC genome browser (http://genome.UCSC.edu/), and identified two CpG islands 3.4-6.5 kb 5’ of pre-miR-183, the most 5’ miRNA of the cluster (Fig. 1A; Fig. S1 and Seq. S1). A cDNA clone, AK044220, located at 3.2-4.6 kb 5’ to pre-miR-183, encompasses the second CpG island (Fig. 1A; Fig. S1). We hypothesized that this cDNA clone was derived from 5’ exon(s) of the primary transcript of the miR-183/96/182 gene, as CpG islands are often associated with promoters (2). Supporting this hypothesis, multiple expressed sequences detected by gene-trap clones, including clone D016D06 (3, 4), were co-localized with the cDNA clone AK044220 (Fig. 1A; Fig. S1). Clone D016D06, deposited by the German GeneTrap Consortium (GGTC) (http://tikus.gsf.de) (3, 4), was derived from insertion of a retroviral construct, rFlpROSAβgeo in 129S2 ES cells (Fig. 1A and C). The rFlpROSAβgeo construct carries a promoterless reporter gene, the β−geo cassette - an in-frame fusion of the β-galactosidase and neomycin resistance (Neor) gene (5), with a splicing acceptor (SA) immediately upstream, and a polyA signal downstream of the β−geo cassette (Fig. -
TRIM37 Orchestrates Renal Cell Carcinoma Progression Via Histone
Miao et al. Journal of Experimental & Clinical Cancer Research (2021) 40:195 https://doi.org/10.1186/s13046-021-01980-0 RESEARCH Open Access TRIM37 orchestrates renal cell carcinoma progression via histone H2A ubiquitination- dependent manner Chenkui Miao1†, Chao Liang1†,PuLi1†, Bianjiang Liu1, Chao Qin1, Han Yuan2, Yiyang Liu1, Jundong Zhu3, Yankang Cui1, Aiming Xu1, Shangqian Wang1, Shifeng Su1, Jie Li1, Pengfei Shao1* and Zengjun Wang1* Abstract Background: Ubiquitylation modification is one of the multiple post-transcriptional process to regulate cellular physiology, including cell signaling, cycle regulation, DNA repair and transcriptional regulation. Members of TRIM family proteins could be defined as E3 ubiquitin ligases as they contain a RING-finger domain, and alterations of TRIM proteins are involved into a broad range of diverse disorders including cancer. TRIM37 is a novel discovered E3 ubiquitin ligase and acts as a oncoprotein in multiple human neoplasms, however its biological role in RCC still remains elusive. Methods: RCC microarray chips and public datasets were screened to identify novel TRIMs member as TRIM37, which was dysregulated in RCC. Gain or loss of functional cancer cell models were constructed, and in vitro and in vivo assays were performed to elucidate its tumorigenic phenotypes. Interactive network analyses were utilized to define intrinsic mechanism. Results: We identified TRIM37 was upregulated in RCC tumors, and its aberrant function predicted aggressive neoplastic phenotypes, poorer survival endings. TRIM37 promoted RCC cells EMT and malignant progression via TGF-β1 signaling activation, as a consequence of directly mediated by ubiquitinating-H2A modifications. Conclusions: Our findings identified a previously unappreciated role of TRIM37 in RCC progression and prognostic prediction.