Endosomal PI(3)P Regulation by the COMMD/CCDC22/CCDC93
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Deregulated Gene Expression Pathways in Myelodysplastic Syndrome Hematopoietic Stem Cells
Leukemia (2010) 24, 756–764 & 2010 Macmillan Publishers Limited All rights reserved 0887-6924/10 $32.00 www.nature.com/leu ORIGINAL ARTICLE Deregulated gene expression pathways in myelodysplastic syndrome hematopoietic stem cells A Pellagatti1, M Cazzola2, A Giagounidis3, J Perry1, L Malcovati2, MG Della Porta2,MJa¨dersten4, S Killick5, A Verma6, CJ Norbury7, E Hellstro¨m-Lindberg4, JS Wainscoat1 and J Boultwood1 1LRF Molecular Haematology Unit, NDCLS, John Radcliffe Hospital, Oxford, UK; 2Department of Hematology Oncology, University of Pavia Medical School, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy; 3Medizinische Klinik II, St Johannes Hospital, Duisburg, Germany; 4Division of Hematology, Department of Medicine, Karolinska Institutet, Stockholm, Sweden; 5Department of Haematology, Royal Bournemouth Hospital, Bournemouth, UK; 6Albert Einstein College of Medicine, Bronx, NY, USA and 7Sir William Dunn School of Pathology, University of Oxford, Oxford, UK To gain insight into the molecular pathogenesis of the the World Health Organization.6,7 Patients with refractory myelodysplastic syndromes (MDS), we performed global gene anemia (RA) with or without ringed sideroblasts, according to expression profiling and pathway analysis on the hemato- poietic stem cells (HSC) of 183 MDS patients as compared with the the French–American–British classification, were subdivided HSC of 17 healthy controls. The most significantly deregulated based on the presence or absence of multilineage dysplasia. In pathways in MDS include interferon signaling, thrombopoietin addition, patients with RA with excess blasts (RAEB) were signaling and the Wnt pathways. Among the most signifi- subdivided into two categories, RAEB1 and RAEB2, based on the cantly deregulated gene pathways in early MDS are immuno- percentage of bone marrow blasts. -
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. -
Structural Insights Into the Architecture and Membrane Interactions of the Conserved COMMD Proteins
RESEARCH ARTICLE Structural insights into the architecture and membrane interactions of the conserved COMMD proteins Michael D Healy1, Manuela K Hospenthal2†, Ryan J Hall1, Mintu Chandra1, Molly Chilton3, Vikas Tillu1, Kai-En Chen1, Dion J Celligoi2, Fiona J McDonald4, Peter J Cullen3, J Shaun Lott2, Brett M Collins1*, Rajesh Ghai1* 1Institute for Molecular Bioscience, The University of Queensland, St. Lucia, Australia; 2School of Biological Sciences, The University of Auckland, Auckland, New Zealand; 3School of Biochemistry, Biomedical Sciences Building, University of Bristol, Bristol, United Kingdom; 4Department of Physiology, University of Otago, Dunedin, New Zealand Abstract The COMMD proteins are a conserved family of proteins with central roles in intracellular membrane trafficking and transcription. They form oligomeric complexes with each other and act as components of a larger assembly called the CCC complex, which is localized to endosomal compartments and mediates the transport of several transmembrane cargos. How these complexes are formed however is completely unknown. Here, we have systematically characterised the interactions between human COMMD proteins, and determined structures of *For correspondence: [email protected] (BMC); COMMD proteins using X-ray crystallography and X-ray scattering to provide insights into the [email protected] (RG) underlying mechanisms of homo- and heteromeric assembly. All COMMD proteins possess an a- helical N-terminal domain, and a highly conserved C-terminal domain that forms a tightly † Present address: Institute of interlocked dimeric structure responsible for COMMD-COMMD interactions. The COMM domains Structural and Molecular Biology, also bind directly to components of CCC and mediate non-specific membrane association. Overall Department of Biological these studies show that COMMD proteins function as obligatory dimers with conserved domain Sciences, Birkbeck College, London, United Kingdom architectures. -
Identification of Differentially Expressed Genes in Human Bladder Cancer Through Genome-Wide Gene Expression Profiling
521-531 24/7/06 18:28 Page 521 ONCOLOGY REPORTS 16: 521-531, 2006 521 Identification of differentially expressed genes in human bladder cancer through genome-wide gene expression profiling KAZUMORI KAWAKAMI1,3, HIDEKI ENOKIDA1, TOKUSHI TACHIWADA1, TAKENARI GOTANDA1, KENGO TSUNEYOSHI1, HIROYUKI KUBO1, KENRYU NISHIYAMA1, MASAKI TAKIGUCHI2, MASAYUKI NAKAGAWA1 and NAOHIKO SEKI3 1Department of Urology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima 890-8520; Departments of 2Biochemistry and Genetics, and 3Functional Genomics, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba 260-8670, Japan Received February 15, 2006; Accepted April 27, 2006 Abstract. Large-scale gene expression profiling is an effective CKS2 gene not only as a potential biomarker for diagnosing, strategy for understanding the progression of bladder cancer but also for staging human BC. This is the first report (BC). The aim of this study was to identify genes that are demonstrating that CKS2 expression is strongly correlated expressed differently in the course of BC progression and to with the progression of human BC. establish new biomarkers for BC. Specimens from 21 patients with pathologically confirmed superficial (n=10) or Introduction invasive (n=11) BC and 4 normal bladder samples were studied; samples from 14 of the 21 BC samples were subjected Bladder cancer (BC) is among the 5 most common to microarray analysis. The validity of the microarray results malignancies worldwide, and the 2nd most common tumor of was verified by real-time RT-PCR. Of the 136 up-regulated the genitourinary tract and the 2nd most common cause of genes we detected, 21 were present in all 14 BCs examined death in patients with cancer of the urinary tract (1-7). -
Transcriptome-Wide Profiling of Multiple RNA Modifications Simultaneously at Single-Base Resolution,” by Vahid Khoddami, Archana Yerra, Timothy L
Correction BIOCHEMISTRY, CHEMISTRY Correction for “Transcriptome-wide profiling of multiple RNA modifications simultaneously at single-base resolution,” by Vahid Khoddami, Archana Yerra, Timothy L. Mosbruger, Aaron M. Fleming, Cynthia J. Burrows, and Bradley R. Cairns, which was first published March 14, 2019; 10.1073/pnas.1817334116 (Proc Natl Acad Sci USA 116:6784–6789). The authors note that the following statement should be added to the Acknowledgments: “This work was also supported by Grant R01 GM093099 from the NIH/National Institute of General Medical Sciences (to C.J.B.).” Published under the PNAS license. Published online April 22, 2019. www.pnas.org/cgi/doi/10.1073/pnas.1905628116 9136 | PNAS | April 30, 2019 | vol. 116 | no. 18 www.pnas.org Downloaded by guest on October 2, 2021 Transcriptome-wide profiling of multiple RNA modifications simultaneously at single-base resolution Vahid Khoddamia,b,c,1,2, Archana Yerrab,c,1, Timothy L. Mosbrugerd, Aaron M. Fleminge, Cynthia J. Burrowse,3, and Bradley R. Cairnsb,c,3 aDepartment of Cell Biology, Harvard Medical School, Boston, MA 02115; bHoward Hughes Medical Institute, University of Utah School of Medicine, Salt Lake City, UT 84112; cDepartment of Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT 84112; dBioinformatics Shared Resource, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT 84112; and eDepartment of Chemistry, University of Utah, Salt Lake City, UT 84112 Contributed by Cynthia J. Burrows, January 25, 2019 (sent for review October 9, 2018; reviewed by Juan D. Alfonzo, Thomas Carell, and Peter C. -
MOCHI Enables Discovery of Heterogeneous Interactome Modules in 3D Nucleome
Downloaded from genome.cshlp.org on October 4, 2021 - Published by Cold Spring Harbor Laboratory Press MOCHI enables discovery of heterogeneous interactome modules in 3D nucleome Dechao Tian1,# , Ruochi Zhang1,# , Yang Zhang1, Xiaopeng Zhu1, and Jian Ma1,* 1Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA #These two authors contributed equally *Correspondence: [email protected] Contact To whom correspondence should be addressed: Jian Ma School of Computer Science Carnegie Mellon University 7705 Gates-Hillman Complex 5000 Forbes Avenue Pittsburgh, PA 15213 Phone: +1 (412) 268-2776 Email: [email protected] 1 Downloaded from genome.cshlp.org on October 4, 2021 - Published by Cold Spring Harbor Laboratory Press Abstract The composition of the cell nucleus is highly heterogeneous, with different constituents forming complex interactomes. However, the global patterns of these interwoven heterogeneous interactomes remain poorly understood. Here we focus on two different interactomes, chromatin interaction network and gene regulatory network, as a proof-of-principle, to identify heterogeneous interactome modules (HIMs), each of which represents a cluster of gene loci that are in spatial contact more frequently than expected and that are regulated by the same group of transcription factors. HIM integrates transcription factor binding and 3D genome structure to reflect “transcriptional niche” in the nucleus. We develop a new algorithm MOCHI to facilitate the discovery of HIMs based on network motif clustering in heterogeneous interactomes. By applying MOCHI to five different cell types, we found that HIMs have strong spatial preference within the nucleus and exhibit distinct functional properties. Through integrative analysis, this work demonstrates the utility of MOCHI to identify HIMs, which may provide new perspectives on the interplay between transcriptional regulation and 3D genome organization. -
Drosophila and Human Transcriptomic Data Mining Provides Evidence for Therapeutic
Drosophila and human transcriptomic data mining provides evidence for therapeutic mechanism of pentylenetetrazole in Down syndrome Author Abhay Sharma Institute of Genomics and Integrative Biology Council of Scientific and Industrial Research Delhi University Campus, Mall Road Delhi 110007, India Tel: +91-11-27666156, Fax: +91-11-27662407 Email: [email protected] Nature Precedings : hdl:10101/npre.2010.4330.1 Posted 5 Apr 2010 Running head: Pentylenetetrazole mechanism in Down syndrome 1 Abstract Pentylenetetrazole (PTZ) has recently been found to ameliorate cognitive impairment in rodent models of Down syndrome (DS). The mechanism underlying PTZ’s therapeutic effect is however not clear. Microarray profiling has previously reported differential expression of genes in DS. No mammalian transcriptomic data on PTZ treatment however exists. Nevertheless, a Drosophila model inspired by rodent models of PTZ induced kindling plasticity has recently been described. Microarray profiling has shown PTZ’s downregulatory effect on gene expression in fly heads. In a comparative transcriptomics approach, I have analyzed the available microarray data in order to identify potential mechanism of PTZ action in DS. I find that transcriptomic correlates of chronic PTZ in Drosophila and DS counteract each other. A significant enrichment is observed between PTZ downregulated and DS upregulated genes, and a significant depletion between PTZ downregulated and DS dowwnregulated genes. Further, the common genes in PTZ Nature Precedings : hdl:10101/npre.2010.4330.1 Posted 5 Apr 2010 downregulated and DS upregulated sets show enrichment for MAP kinase pathway. My analysis suggests that downregulation of MAP kinase pathway may mediate therapeutic effect of PTZ in DS. Existing evidence implicating MAP kinase pathway in DS supports this observation. -
Bioinformatics Analysis and Insights for the Role of COMMD7 in Hepatocellular Carcinoma
Bioinformatics Analysis and Insights for The Role of COMMD7 in Hepatocellular Carcinoma Xuehui Peng Army Medical University Yonggang He Army Medical University Xiaobing Huang Army Medical University Nan You Army Medical University Huiying Gu Army Medical University Rui Dong Army Medical University Xiaomin Yang Army Medical University Lu Zheng Army Medical University Jing Li ( [email protected] ) Army Medical University Research article Keywords: COMMD7, Hepatocellular carcinoma, tumor progression, NF-κB, CXCL10 Posted Date: October 6th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-79438/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/20 Abstract Background: The tumorigenesis and development of hepatocellular carcinoma (HCC) is a process involving multiple factors. The COMMDs family proteins were reported to play important roles in various disease and cancers including HCC. We previously found COMMD7 acted as a HCC-promotion factor; however, further understanding on COMMD7 was needed. We conducted these bioinformatics analysis for the purpose of comprehensive understanding of the functional role of COMMD7 in HCC. Methods: The bioinformatics analysis of COMMD7 were launched by online platforms including KEGG, GEPIA, cBioportal, Gene Ontology and The Kaplan-Meier plotter. Data from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) were downloaded, and the data analysis and processing were conducted by RStudio (version 1.3.959) software. Results: The expression prole results of COMMD7 in TCGA and GTEx database suggested that COMMD7 expressed highly in liver tumor tissues and positively related with poorer prognosis (p<0.01); COMMD7 also contributed to the early development of HCC as its higher expression resulted in progression from stage I to stage III (p<0.01). -
An Atlas of Cell Types in the Mouse Epididymis and Vas Deferens
TOOLS AND RESOURCES An atlas of cell types in the mouse epididymis and vas deferens Vera D Rinaldi1†, Elisa Donnard2†, Kyle Gellatly2, Morten Rasmussen1‡, Alper Kucukural2, Onur Yukselen2, Manuel Garber2,3, Upasna Sharma4, Oliver J Rando1* 1Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, United States; 2Department of Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, United States; 3Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, United States; 4Department of Molecular, Cell and Developmental Biology, University of California Santa Cruz, Santa Cruz, United States Abstract Following testicular spermatogenesis, mammalian sperm continue to mature in a long epithelial tube known as the epididymis, which plays key roles in remodeling sperm protein, lipid, and RNA composition. To understand the roles for the epididymis in reproductive biology, we generated a single-cell atlas of the murine epididymis and vas deferens. We recovered key epithelial cell types including principal cells, clear cells, and basal cells, along with associated *For correspondence: support cells that include fibroblasts, smooth muscle, macrophages and other immune cells. [email protected] Moreover, our data illuminate extensive regional specialization of principal cell populations across †These authors contributed the length of the epididymis. In addition to region-specific specialization of principal cells, we find equally to this work evidence for functionally specialized subpopulations of stromal cells, and, most notably, two ‡ distinct populations of clear cells. Our dataset extends on existing knowledge of epididymal Present address: Department of Virus and Microbiological biology, and provides a wealth of information on potential regulatory and signaling factors that Special Diagnostics, Statens bear future investigation. -
UC San Francisco Previously Published Works
UCSF UC San Francisco Previously Published Works Title FitSNPs: highly differentially expressed genes are more likely to have variants associated with disease. Permalink https://escholarship.org/uc/item/91k8p2km Journal Genome biology, 9(12) ISSN 1474-7596 Authors Chen, Rong Morgan, Alex A Dudley, Joel et al. Publication Date 2008 DOI 10.1186/gb-2008-9-12-r170 Peer reviewed eScholarship.org Powered by the California Digital Library University of California Open Access Research2008ChenetVolume al. 9, Issue 12, Article R170 FitSNPs: highly differentially expressed genes are more likely to have variants associated with disease Rong Chen*†‡, Alex A Morgan*†‡, Joel Dudley*†‡, Tarangini Deshpande§, Li Li†, Keiichi Kodama*†‡, Annie P Chiang*†‡ and Atul J Butte*†‡ Addresses: *Stanford Center for Biomedical Informatics Research, 251 Cmpus Drive, Stanford, CA 94305, USA. †Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA. ‡Lucile Packard Children's Hospital, 725 Welch Road, Palo Alto, CA 94304, USA. §NuMedii Inc., Menlo Park, CA 94025, USA. Correspondence: Atul J Butte. Email: [email protected] Published: 5 December 2008 Received: 17 June 2008 Revised: 26 September 2008 Genome Biology 2008, 9:R170 (doi:10.1186/gb-2008-9-12-r170) Accepted: 5 December 2008 The electronic version of this article is the complete one and can be found online at http://genomebiology.com/2008/9/12/R170 © 2008 Chen et al.; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. -
A High Throughput, Functional Screen of Human Body Mass Index GWAS Loci Using Tissue-Specific Rnai Drosophila Melanogaster Crosses Thomas J
Washington University School of Medicine Digital Commons@Becker Open Access Publications 2018 A high throughput, functional screen of human Body Mass Index GWAS loci using tissue-specific RNAi Drosophila melanogaster crosses Thomas J. Baranski Washington University School of Medicine in St. Louis Aldi T. Kraja Washington University School of Medicine in St. Louis Jill L. Fink Washington University School of Medicine in St. Louis Mary Feitosa Washington University School of Medicine in St. Louis Petra A. Lenzini Washington University School of Medicine in St. Louis See next page for additional authors Follow this and additional works at: https://digitalcommons.wustl.edu/open_access_pubs Recommended Citation Baranski, Thomas J.; Kraja, Aldi T.; Fink, Jill L.; Feitosa, Mary; Lenzini, Petra A.; Borecki, Ingrid B.; Liu, Ching-Ti; Cupples, L. Adrienne; North, Kari E.; and Province, Michael A., ,"A high throughput, functional screen of human Body Mass Index GWAS loci using tissue-specific RNAi Drosophila melanogaster crosses." PLoS Genetics.14,4. e1007222. (2018). https://digitalcommons.wustl.edu/open_access_pubs/6820 This Open Access Publication is brought to you for free and open access by Digital Commons@Becker. It has been accepted for inclusion in Open Access Publications by an authorized administrator of Digital Commons@Becker. For more information, please contact [email protected]. Authors Thomas J. Baranski, Aldi T. Kraja, Jill L. Fink, Mary Feitosa, Petra A. Lenzini, Ingrid B. Borecki, Ching-Ti Liu, L. Adrienne Cupples, Kari E. North, and Michael A. Province This open access publication is available at Digital Commons@Becker: https://digitalcommons.wustl.edu/open_access_pubs/6820 RESEARCH ARTICLE A high throughput, functional screen of human Body Mass Index GWAS loci using tissue-specific RNAi Drosophila melanogaster crosses Thomas J. -
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DEVELOPMENT OF HUMAN-COMPUTER INTERACTIVE APPROACHES FOR RARE DISEASE GENOMICS by Jessica J. Y. Lee B.Sc., The University of British Columbia, 2013 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY in THE FACULTY OF GRADUATE AND POSTDOCTORAL STUDIES (Genome Science and Technology) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) November 2018 © Jessica J. Y. Lee, 2018 The following individuals certify that they have read, and recommend to the Faculty of Graduate and Postdoctoral Studies for acceptance, the dissertation entitled: Development of Human-Computer Interactive Approaches for Rare Disease Genomics submitted by Jessica J. Y. Lee in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Genome Science and Technology Examining Committee: Clara van Karnebeek, Pediatrics; Genome Science and Technology Co-supervisor Wyeth Wasserman, Medical Genetics Co-supervisor William Hsiao, Pathology and Laboratory Medicine Supervisory Committee Member Martin Dawes, Family Practice University Examiner Sabrina Wong, Nursing University Examiner Additional Supervisory Committee Members: Sara Mostafavi, Statistics Supervisory Committee Member Raymond Ng, Computer Science Supervisory Committee Member ii Abstract Clinical genome sequencing is becoming a tool for standard clinical practice. Many studies have presented sequencing as effective for both diagnosing and informing the management of genetic diseases. However, the task of finding the causal variant(s) of a rare genetic disease within an individual is often difficult due to the large number of identified variants and lack of direct evidence of causality. Current computational solutions harness existing genetic knowledge in order to infer the pathogenicity of the variant(s), as well as filter those unlikely to be pathogenic.