©Ferrata Storti Foundation
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Structure of the Dock2âˆ'elmo1 Complex Provides Insights Into
ARTICLE https://doi.org/10.1038/s41467-020-17271-9 OPEN Structure of the DOCK2−ELMO1 complex provides insights into regulation of the auto-inhibited state Leifu Chang1,7, Jing Yang1, Chang Hwa Jo 2, Andreas Boland 1,8, Ziguo Zhang 1, Stephen H. McLaughlin 1, Afnan Abu-Thuraia 3, Ryan C. Killoran2, Matthew J. Smith 2,4,9, Jean-Francois Côté 3,5,6,9 & ✉ David Barford 1 DOCK (dedicator of cytokinesis) proteins are multidomain guanine nucleotide exchange 1234567890():,; factors (GEFs) for RHO GTPases that regulate intracellular actin dynamics. DOCK proteins share catalytic (DOCKDHR2) and membrane-associated (DOCKDHR1) domains. The structurally-related DOCK1 and DOCK2 GEFs are specific for RAC, and require ELMO (engulfment and cell motility) proteins for function. The N-terminal RAS-binding domain (RBD) of ELMO (ELMORBD) interacts with RHOG to modulate DOCK1/2 activity. Here, we determine the cryo-EM structures of DOCK2−ELMO1 alone, and as a ternary complex with RAC1, together with the crystal structure of a RHOG−ELMO2RBD complex. The binary DOCK2−ELMO1 complex adopts a closed, auto-inhibited conformation. Relief of auto- inhibition to an active, open state, due to a conformational change of the ELMO1 subunit, exposes binding sites for RAC1 on DOCK2DHR2, and RHOG and BAI GPCRs on ELMO1. Our structure explains how up-stream effectors, including DOCK2 and ELMO1 phosphorylation, destabilise the auto-inhibited state to promote an active GEF. 1 MRC Laboratory of Molecular Biology, Cambridge CB2 0QH, UK. 2 Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, Québec H3T 1J4, Canada. 3 Montreal Institute of Clinical Research (IRCM), Montréal, QC H2W 1R7, Canada. -
Analysis of Gene Expression Data for Gene Ontology
ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION A Thesis Presented to The Graduate Faculty of The University of Akron In Partial Fulfillment of the Requirements for the Degree Master of Science Robert Daniel Macholan May 2011 ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION Robert Daniel Macholan Thesis Approved: Accepted: _______________________________ _______________________________ Advisor Department Chair Dr. Zhong-Hui Duan Dr. Chien-Chung Chan _______________________________ _______________________________ Committee Member Dean of the College Dr. Chien-Chung Chan Dr. Chand K. Midha _______________________________ _______________________________ Committee Member Dean of the Graduate School Dr. Yingcai Xiao Dr. George R. Newkome _______________________________ Date ii ABSTRACT A tremendous increase in genomic data has encouraged biologists to turn to bioinformatics in order to assist in its interpretation and processing. One of the present challenges that need to be overcome in order to understand this data more completely is the development of a reliable method to accurately predict the function of a protein from its genomic information. This study focuses on developing an effective algorithm for protein function prediction. The algorithm is based on proteins that have similar expression patterns. The similarity of the expression data is determined using a novel measure, the slope matrix. The slope matrix introduces a normalized method for the comparison of expression levels throughout a proteome. The algorithm is tested using real microarray gene expression data. Their functions are characterized using gene ontology annotations. The results of the case study indicate the protein function prediction algorithm developed is comparable to the prediction algorithms that are based on the annotations of homologous proteins. -
The Endocytic Membrane Trafficking Pathway Plays a Major Role
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by University of Liverpool Repository RESEARCH ARTICLE The Endocytic Membrane Trafficking Pathway Plays a Major Role in the Risk of Parkinson’s Disease Sara Bandres-Ciga, PhD,1,2 Sara Saez-Atienzar, PhD,3 Luis Bonet-Ponce, PhD,4 Kimberley Billingsley, MSc,1,5,6 Dan Vitale, MSc,7 Cornelis Blauwendraat, PhD,1 Jesse Raphael Gibbs, PhD,7 Lasse Pihlstrøm, MD, PhD,8 Ziv Gan-Or, MD, PhD,9,10 The International Parkinson’s Disease Genomics Consortium (IPDGC), Mark R. Cookson, PhD,4 Mike A. Nalls, PhD,1,11 and Andrew B. Singleton, PhD1* 1Molecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA 2Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain 3Transgenics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA 4Cell Biology and Gene Expression Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA 5Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom 6Department of Pathophysiology, University of Tartu, Tartu, Estonia 7Computational Biology Group, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA 8Department of Neurology, Oslo University Hospital, Oslo, Norway 9Department of Neurology and Neurosurgery, Department of Human Genetics, McGill University, Montréal, Quebec, Canada 10Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, Quebec, Canada 11Data Tecnica International, Glen Echo, Maryland, USA ABSTRACT studies, summary-data based Mendelian randomization Background: PD is a complex polygenic disorder. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Distinguishing Pleiotropy from Linked QTL Between Milk Production Traits
Cai et al. Genet Sel Evol (2020) 52:19 https://doi.org/10.1186/s12711-020-00538-6 Genetics Selection Evolution RESEARCH ARTICLE Open Access Distinguishing pleiotropy from linked QTL between milk production traits and mastitis resistance in Nordic Holstein cattle Zexi Cai1*†, Magdalena Dusza2†, Bernt Guldbrandtsen1, Mogens Sandø Lund1 and Goutam Sahana1 Abstract Background: Production and health traits are central in cattle breeding. Advances in next-generation sequencing technologies and genotype imputation have increased the resolution of gene mapping based on genome-wide association studies (GWAS). Thus, numerous candidate genes that afect milk yield, milk composition, and mastitis resistance in dairy cattle are reported in the literature. Efect-bearing variants often afect multiple traits. Because the detection of overlapping quantitative trait loci (QTL) regions from single-trait GWAS is too inaccurate and subjective, multi-trait analysis is a better approach to detect pleiotropic efects of variants in candidate genes. However, large sample sizes are required to achieve sufcient power. Multi-trait meta-analysis is one approach to deal with this prob- lem. Thus, we performed two multi-trait meta-analyses, one for three milk production traits (milk yield, protein yield and fat yield), and one for milk yield and mastitis resistance. Results: For highly correlated traits, the power to detect pleiotropy was increased by multi-trait meta-analysis com- pared with the subjective assessment of overlapping of single-trait QTL confdence intervals. Pleiotropic efects of lead single nucleotide polymorphisms (SNPs) that were detected from the multi-trait meta-analysis were confrmed by bivariate association analysis. The previously reported pleiotropic efects of variants within the DGAT1 and MGST1 genes on three milk production traits, and pleiotropic efects of variants in GHR on milk yield and fat yield were con- frmed. -
Tyr724 Phosphorylation of ELMO1 by Src Is Involved in Cell Spreading and Migration Via Rac1 Activation
Title Tyr724 phosphorylation of ELMO1 by Src is involved in cell spreading and migration via Rac1 activation Makino, Yoshinori; Tsuda, Masumi; Ohba, Yusuke; Nishihara, Hiroshi; Sawa, Hirofumi; Nagashima, Kazuo; Tanaka, Author(s) Shinya Cell communication and signaling, 13, 35 Citation https://doi.org/10.1186/s12964-015-0113-y Issue Date 2015-07-26 Doc URL http://hdl.handle.net/2115/59828 Rights(URL) http://creativecommons.org/licenses/by/4.0 Type article File Information s12964-015-0113-y.pdf Instructions for use Hokkaido University Collection of Scholarly and Academic Papers : HUSCAP Makino et al. Cell Communication and Signaling (2015) 13:35 DOI 10.1186/s12964-015-0113-y RESEARCH ARTICLE Open Access Tyr724 phosphorylation of ELMO1 by Src is involved in cell spreading and migration via Rac1 activation Yoshinori Makino1,2, Masumi Tsuda1, Yusuke Ohba3, Hiroshi Nishihara4, Hirofumi Sawa1,5, Kazuo Nagashima1,6 and Shinya Tanaka1,4* Abstract Background: The complex of Dock180/ELMO1 that functions as a bipartite guanine nucleotide exchange factor for Rac is essential for diverse physiological and pathological processes of cells such as cell migration, phagocytosis, and invasion of cancer cells. Among the Src-family tyrosine kinases (SFKs), it has been reported that Hck directly phosphorylates ELMO1, regulating phagocytosis by promoting activation of Rac1; however, the involvement of other SFKs in ELMO1 phosphorylation has remained unknown. Here, we identified novel tyrosine (Y) residues of ELMO1 phosphorylated by SFKs, and examined the effects on Rac1 activity, cell adhesion, spreading, and cell motility on extracellular matrix (ECM). Results: In this study, we unveiled that Src and Fyn can induce tyrosine phosphorylation of ELMO1 in in vivo and in vitro phosphorylation assays. -
'Next- Generation' Sequencing Data Analysis
Novel Algorithm Development for ‘Next- Generation’ Sequencing Data Analysis Agne Antanaviciute Submitted in accordance with the requirements for the degree of Doctor of Philosophy University of Leeds School of Medicine Leeds Institute of Biomedical and Clinical Sciences 12/2017 ii The candidate confirms that the work submitted is her own, except where work which has formed part of jointly-authored publications has been included. The contribution of the candidate and the other authors to this work has been explicitly given within the thesis where reference has been made to the work of others. This copy has been supplied on the understanding that it is copyright material and that no quotation from the thesis may be published without proper acknowledgement ©2017 The University of Leeds and Agne Antanaviciute The right of Agne Antanaviciute to be identified as Author of this work has been asserted by her in accordance with the Copyright, Designs and Patents Act 1988. Acknowledgements I would like to thank all the people who have contributed to this work. First and foremost, my supervisors Dr Ian Carr, Professor David Bonthron and Dr Christopher Watson, who have provided guidance, support and motivation. I could not have asked for a better supervisory team. I would also like to thank my collaborators Dr Belinda Baquero and Professor Adrian Whitehouse for opening new, interesting research avenues. A special thanks to Dr Belinda Baquero for all the hard wet lab work without which at least half of this thesis would not exist. Thanks to everyone at the NGS Facility – Carolina Lascelles, Catherine Daley, Sally Harrison, Ummey Hany and Laura Crinnion – for the generation of NGS data used in this work and creating a supportive and stimulating work environment. -
Association of Gene Ontology Categories with Decay Rate for Hepg2 Experiments These Tables Show Details for All Gene Ontology Categories
Supplementary Table 1: Association of Gene Ontology Categories with Decay Rate for HepG2 Experiments These tables show details for all Gene Ontology categories. Inferences for manual classification scheme shown at the bottom. Those categories used in Figure 1A are highlighted in bold. Standard Deviations are shown in parentheses. P-values less than 1E-20 are indicated with a "0". Rate r (hour^-1) Half-life < 2hr. Decay % GO Number Category Name Probe Sets Group Non-Group Distribution p-value In-Group Non-Group Representation p-value GO:0006350 transcription 1523 0.221 (0.009) 0.127 (0.002) FASTER 0 13.1 (0.4) 4.5 (0.1) OVER 0 GO:0006351 transcription, DNA-dependent 1498 0.220 (0.009) 0.127 (0.002) FASTER 0 13.0 (0.4) 4.5 (0.1) OVER 0 GO:0006355 regulation of transcription, DNA-dependent 1163 0.230 (0.011) 0.128 (0.002) FASTER 5.00E-21 14.2 (0.5) 4.6 (0.1) OVER 0 GO:0006366 transcription from Pol II promoter 845 0.225 (0.012) 0.130 (0.002) FASTER 1.88E-14 13.0 (0.5) 4.8 (0.1) OVER 0 GO:0006139 nucleobase, nucleoside, nucleotide and nucleic acid metabolism3004 0.173 (0.006) 0.127 (0.002) FASTER 1.28E-12 8.4 (0.2) 4.5 (0.1) OVER 0 GO:0006357 regulation of transcription from Pol II promoter 487 0.231 (0.016) 0.132 (0.002) FASTER 6.05E-10 13.5 (0.6) 4.9 (0.1) OVER 0 GO:0008283 cell proliferation 625 0.189 (0.014) 0.132 (0.002) FASTER 1.95E-05 10.1 (0.6) 5.0 (0.1) OVER 1.50E-20 GO:0006513 monoubiquitination 36 0.305 (0.049) 0.134 (0.002) FASTER 2.69E-04 25.4 (4.4) 5.1 (0.1) OVER 2.04E-06 GO:0007050 cell cycle arrest 57 0.311 (0.054) 0.133 (0.002) -
Molecular Characterization of Acquired Tolerance of Tumor Cells to Picropodophyllin (PPP)
Molecular Characterization of Acquired Tolerance of Tumor Cells to Picropodophyllin (PPP) Jamileh Hashemi1*, Claire Worrall2, Daiana Vasilcanu2,Ma˚rten Frykna¨s3, Luqman Sulaiman1, Mohsen Karimi1, Wen-Hui Weng1¤a, Weng-Onn Lui1, Christina Rudduck1¤b, Magnus Axelson1, Helena Jernberg-Wiklund3, Leonard Girnita2, Olle Larsson2, Catharina Larsson1 1 Department of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, CMM L8:01, Stockholm, Sweden, 2 Department of Oncology-Pathology, Karolinska Institutet, Karolinska University Hospital, CCK R8:04, Stockholm, Sweden, 3 Department of Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden Abstract Background: Picropodophyllin (PPP) is a promising novel anti-neoplastic agent that efficiently kills tumor cells in vitro and causes tumor regression and increased survival in vivo. We have previously reported that PPP treatment induced moderate tolerance in two out of 10 cell lines only, and here report the acquired genomic and expression alterations associated with PPP selection over 1.5 years of treatment. Methodology/Principal Findings: Copy number alterations monitored using metaphase and array-based comparative genomic hybridization analyses revealed largely overlapping alterations in parental and maximally tolerant cells. Gain/ amplification of the MYC and PVT1 loci in 8q24.21 were verified on the chromosome level. Abnormalities observed in connection to PPP treatment included regular gains and losses, as well as homozygous losses in 10q24.1-q24.2 and 12p12.3- p13.2 in one of the lines and amplification at 5q11.2 in the other. Abnormalities observed in both tolerant derivatives include amplification/gain of 5q11.2, gain of 11q12.1-q14.3 and gain of 13q33.3-qter. -
Deletion of 11Q in Neuroblastomas Drives Sensitivity to PARP Inhibition Elena Sanmartín1,2, Lisandra Munoz~ 1,2, Marta Piqueras3, J
Published OnlineFirst August 22, 2017; DOI: 10.1158/1078-0432.CCR-17-0593 Personalized Medicine and Imaging Clinical Cancer Research Deletion of 11q in Neuroblastomas Drives Sensitivity to PARP Inhibition Elena Sanmartín1,2, Lisandra Munoz~ 1,2, Marta Piqueras3, J. Antoni Sirerol1,2, Pablo Berlanga2,4, Adela Canete~ 2,4, Victoria Castel2,4, and Jaime Font de Mora1,2 Abstract Purpose: Despite advances in multimodal therapy, neuroblas- define a subgroup of neuroblastomas with higher sensitivity to tomas with hemizygous deletion in chromosome 11q (20%– PARP inhibitors. Noteworthy, concomitant treatment with ola- 30%) undergo consecutive recurrences with poor outcome. We parib and DNA alkylating agent temozolomide potently inhibited hypothesized that patients with 11q-loss may share a druggable growth of cell lines harboring 11q-loss. This drug synergism was molecular target(s) that can be exploited for a precision medicine less potent when temozolomide was exchanged for cisplatin or strategy to improve treatment outcome. irinotecan. Intact 11q cells concomitantly treated with ATM Experimental Design: SNP arrays were combined with next- inhibitor displayed growth arrest and enhanced apoptosis, reveal- generation sequencing (NGS) to precisely define the deleted ing a role for ATM in the mechanism that mediates sensitivity to region in 17 primary 11q-loss neuroblastomas and identify allelic temozolomide–olaparib. Interestingly, functional TP53 is variants in genes relevant for neuroblastoma etiology. We required for efficacy of this treatment. In an in vivo model, assessed PARP inhibitor olaparib in combination with other coadministration of temozolomide–olaparib resulted in sus- chemotherapy medications using both in vitro and in vivo models. tained xenograft regression. -
Novel and Highly Recurrent Chromosomal Alterations in Se´Zary Syndrome
Research Article Novel and Highly Recurrent Chromosomal Alterations in Se´zary Syndrome Maarten H. Vermeer,1 Remco van Doorn,1 Remco Dijkman,1 Xin Mao,3 Sean Whittaker,3 Pieter C. van Voorst Vader,4 Marie-Jeanne P. Gerritsen,5 Marie-Louise Geerts,6 Sylke Gellrich,7 Ola So¨derberg,8 Karl-Johan Leuchowius,8 Ulf Landegren,8 Jacoba J. Out-Luiting,1 Jeroen Knijnenburg,2 Marije IJszenga,2 Karoly Szuhai,2 Rein Willemze,1 and Cornelis P. Tensen1 Departments of 1Dermatology and 2Molecular Cell Biology, Leiden University Medical Center, Leiden, the Netherlands; 3Department of Dermatology, St Thomas’ Hospital, King’s College, London, United Kingdom; 4Department of Dermatology, University Medical Center Groningen, Groningen, the Netherlands; 5Department of Dermatology, Radboud University Nijmegen Medical Center, Nijmegen, the Netherlands; 6Department of Dermatology, Gent University Hospital, Gent, Belgium; 7Department of Dermatology, Charite, Berlin, Germany; and 8Department of Genetics and Pathology, Rudbeck Laboratory, University of Uppsala, Uppsala, Sweden Abstract Introduction This study was designed to identify highly recurrent genetic Se´zary syndrome (Sz) is an aggressive type of cutaneous T-cell alterations typical of Se´zary syndrome (Sz), an aggressive lymphoma/leukemia of skin-homing, CD4+ memory T cells and is cutaneous T-cell lymphoma/leukemia, possibly revealing characterized by erythroderma, generalized lymphadenopathy, and pathogenetic mechanisms and novel therapeutic targets. the presence of neoplastic T cells (Se´zary cells) in the skin, lymph High-resolution array-based comparative genomic hybridiza- nodes, and peripheral blood (1). Sz has a poor prognosis, with a tion was done on malignant T cells from 20 patients. disease-specific 5-year survival of f24% (1). -
Bcr Interacts with Components of the Endosomal Sorting Complex Required for Transport-I and Is Required for Epidermal Growth Factor Receptor Turnover
Research Article Bcr Interacts with Components of the Endosomal Sorting Complex Required for Transport-I and Is Required for Epidermal Growth Factor Receptor Turnover Oyenike O. Olabisi, Gwendolyn M. Mahon, Elena V. Kostenko, Zhuoming Liu, Harvey L. Ozer, and Ian P. Whitehead Department of Microbiology and Molecular Genetics and University Hospital Cancer Center, New Jersey Medical School, University of Medicine and Dentistry of New Jersey, Newark, New Jersey Abstract in-frame fusion protein (p210 Bcr-Abl) that contains NH2-terminal Virtually all patients with chronic myelogenous leukemia sequences of Bcr fused to COOH-terminal sequences of Abl. (CML) express an aberrant protein (p210 Bcr-Abl) that Elevated tyrosine kinase activity residing within Abl is considered to be a critical event in the induction of CML. Therapeutic agents contains NH2-terminal sequences from Bcr fused to COOH- terminal sequences from Abl. In a yeast two-hybrid screen, we that specifically target this activity are effective in the treatment of have identified TSG101 as a binding partner for Bcr. Because CML (3), and loss of this activity is invariably associated with TSG101 is a subunit of the mammalian endosomal sorting diminished transforming activity (4). Sequences that reside within the Bcr component of p210 Bcr-Abl are also required for complex required for transport (ESCRT), which regulates 177 protein sorting during endosomal trafficking, this association transformation. Autophosphorylated Tyr binds to growth factor suggests that Bcr may have a related cellular function. The receptor binding protein 2, which complexes with SOS to activate docking site for TSG101 has been mapped to the COOH Ras (5).