Large Homozygous RAB3GAP1 Gene Microdeletion Causes Warburg
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Loss-Of-Function Mutations in RAB18 Cause Warburg Micro Syndrome
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector REPORT Loss-of-Function Mutations in RAB18 Cause Warburg Micro Syndrome Danai Bem,1 Shin-Ichiro Yoshimura,2,12 Ricardo Nunes-Bastos,2 Frances F. Bond,3 Manju A. Kurian,1,13 Fatima Rahman,1 Mark T.W. Handley,4 Yavor Hadzhiev,1 Imran Masood,5 Ania A. Straatman-Iwanowska,1,13 Andrew R. Cullinane,1,14 Alisdair McNeill,1,3,15 Shanaz S. Pasha,1 Gail A. Kirby,1 Katharine Foster,6 Zubair Ahmed,7 Jenny E. Morton,3 Denise Williams,3 John M. Graham,8 William B. Dobyns,9 Lydie Burglen,10 John R. Ainsworth,11 Paul Gissen,1,13 Ferenc Mu¨ller,1 Eamonn R. Maher,1,3 Francis A. Barr,2 and Irene A. Aligianis1,3,16,* Warburg Micro syndrome and Martsolf syndrome are heterogenous autosomal-recessive developmental disorders characterized by brain, eye, and endocrine abnormalities. Previously, identification of mutations in RAB3GAP1 and RAB3GAP2 in both these syndromes implicated dysregulation of the RAB3 cycle (which controls calcium-mediated exocytosis of neurotransmitters and hormones) in disease pathogenesis. RAB3GAP1 and RAB3GAP2 encode the catalytic and noncatalytic subunits of the hetrodimeric enzyme RAB3GAP (RAB3GTPase-activating protein), a key regulator of the RAB3 cycle. We performed autozygosity mapping in five consanguineous families without RAB3GAP1/2 mutations and identified loss-of-function mutations in RAB18. A c.71T > A (p.Leu24Gln) founder mutation was identified in four Pakistani families, and a homozygous exon 2 deletion (predicted to result in a frameshift) was found in the fifth family. -
The A–Z of Zika Drug Discovery, Drug Discov Today (2018)
Drug Discovery Today Volume 00, Number 00 June 2018 REVIEWS Teaser Zika clinical outcomes might be nefarious impacting newborns for a lifetime. There is still no drug available to cure Zika. We provide guidance to help understand and advance the search for a cure. KEYNOTE REVIEW – The A Z of Zika drug discovery Reviews 1 1 1 Melina Mottin graduated Melina Mottin , Joyce V.V.B. Borba , Rodolpho C. Braga , in pharmacy and earned her 2,3 4 Master’s degree and PhD at Pedro H.M. Torres , Matheus C. Martini , University of Campinas 4 5 (UNICAMP), Brazil. The Jose Luiz Proenca-Modena , Carla C. Judice , main focus of her studies 5 6 7 was to apply molecular Fabio T.M. Costa , Sean Ekins , Alexander L. Perryman and dynamics simulations and 1,5 other computational Carolina Horta Andrade strategies for a nuclear receptor and its association with drugs and coregulatory proteins, implicated in diabetes. 1 LabMol – Laboratory for Molecular Modeling and Drug Design, Faculdade de Farmacia, Universidade Federal de Melina is currently Research Associate of the OpenZika project, at Federal University of Goias, mainly applying Goias – UFG, Goiânia, GO 74605-170, Brazil 2 virtual screening based on docking and QSAR models to Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, RJ 21040-900, Brazil 3 select drug candidates against Zika virus. Department of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge CB2 1GA, UK 4 Alexander L. Perryman Laboratory of Emerging Viruses (LEVE), Department of Genetics, Evolution, Microbiology and Immunology, earned his PhD in Andy Institute of Biology, UNICAMP, Campinas, SP 13083-864, Brazil 5 McCammon’s lab at UCSD. -
Rab18 Promotes Lipid Droplet (LD) Growth by Tethering the ER to Lds Through SNARE and NRZ Interactions
Published Online: 24 January, 2018 | Supp Info: http://doi.org/10.1083/jcb.201704184 Article Downloaded from jcb.rupress.org on August 7, 2018 Rab18 promotes lipid droplet (LD) growth by tethering the ER to LDs through SNARE and NRZ interactions Dijin Xu,1* Yuqi Li,1* Lizhen Wu,1* Ying Li,1 Dongyu Zhao,1 Jinhai Yu,1 Tuozhi Huang,1 Charles Ferguson,2 Robert G. Parton,2,3 Hongyuan Yang,4 and Peng Li1 1State Key Laboratory of Membrane Biology, Tsinghua-Peking Center for Life Sciences, Beijing Advanced Innovation Center for Structural Biology, School of Life Sciences, Tsinghua University, Beijing, China 2Institute for Molecular Bioscience and 3Centre for Microscopy and Microanalysis, University of Queensland, Brisbane, Australia 4School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia Lipid incorporation from endoplasmic reticulum (ER) to lipid droplet (LD) is important in controlling LD growth and intra- cellular lipid homeostasis. However, the molecular link mediating ER and LD cross talk remains elusive. Here, we identi- fied Rab18 as an important Rab guanosine triphosphatase in controlling LD growth and maturation.Rab18 deficiency resulted in a drastically reduced number of mature LDs and decreased lipid storage, and was accompanied by increased ER stress. Rab3GAP1/2, the GEF of Rab18, promoted LD growth by activating and targeting Rab18 to LDs. LD-associated Rab18 bound specifically to the ER-associated NAG-RINT1-ZW10 (NRZ) tethering complex and their associated SNAREs (Syntaxin18, Use1, BNIP1), resulting in the recruitment of ER to LD and the formation of direct ER–LD contact. Cells with defects in the NRZ/SNA RE complex function showed reduced LD growth and lipid storage. -
Convergent Functional Genomics of Schizophrenia: from Comprehensive Understanding to Genetic Risk Prediction
Molecular Psychiatry (2012) 17, 887 -- 905 & 2012 Macmillan Publishers Limited All rights reserved 1359-4184/12 www.nature.com/mp IMMEDIATE COMMUNICATION Convergent functional genomics of schizophrenia: from comprehensive understanding to genetic risk prediction M Ayalew1,2,9, H Le-Niculescu1,9, DF Levey1, N Jain1, B Changala1, SD Patel1, E Winiger1, A Breier1, A Shekhar1, R Amdur3, D Koller4, JI Nurnberger1, A Corvin5, M Geyer6, MT Tsuang6, D Salomon7, NJ Schork7, AH Fanous3, MC O’Donovan8 and AB Niculescu1,2 We have used a translational convergent functional genomics (CFG) approach to identify and prioritize genes involved in schizophrenia, by gene-level integration of genome-wide association study data with other genetic and gene expression studies in humans and animal models. Using this polyevidence scoring and pathway analyses, we identify top genes (DISC1, TCF4, MBP, MOBP, NCAM1, NRCAM, NDUFV2, RAB18, as well as ADCYAP1, BDNF, CNR1, COMT, DRD2, DTNBP1, GAD1, GRIA1, GRIN2B, HTR2A, NRG1, RELN, SNAP-25, TNIK), brain development, myelination, cell adhesion, glutamate receptor signaling, G-protein-- coupled receptor signaling and cAMP-mediated signaling as key to pathophysiology and as targets for therapeutic intervention. Overall, the data are consistent with a model of disrupted connectivity in schizophrenia, resulting from the effects of neurodevelopmental environmental stress on a background of genetic vulnerability. In addition, we show how the top candidate genes identified by CFG can be used to generate a genetic risk prediction score (GRPS) to aid schizophrenia diagnostics, with predictive ability in independent cohorts. The GRPS also differentiates classic age of onset schizophrenia from early onset and late-onset disease. -
Supplementary Table 3: Genes Only Influenced By
Supplementary Table 3: Genes only influenced by X10 Illumina ID Gene ID Entrez Gene Name Fold change compared to vehicle 1810058M03RIK -1.104 2210008F06RIK 1.090 2310005E10RIK -1.175 2610016F04RIK 1.081 2610029K11RIK 1.130 381484 Gm5150 predicted gene 5150 -1.230 4833425P12RIK -1.127 4933412E12RIK -1.333 6030458P06RIK -1.131 6430550H21RIK 1.073 6530401D06RIK 1.229 9030607L17RIK -1.122 A330043C08RIK 1.113 A330043L12 1.054 A530092L01RIK -1.069 A630054D14 1.072 A630097D09RIK -1.102 AA409316 FAM83H family with sequence similarity 83, member H 1.142 AAAS AAAS achalasia, adrenocortical insufficiency, alacrimia 1.144 ACADL ACADL acyl-CoA dehydrogenase, long chain -1.135 ACOT1 ACOT1 acyl-CoA thioesterase 1 -1.191 ADAMTSL5 ADAMTSL5 ADAMTS-like 5 1.210 AFG3L2 AFG3L2 AFG3 ATPase family gene 3-like 2 (S. cerevisiae) 1.212 AI256775 RFESD Rieske (Fe-S) domain containing 1.134 Lipo1 (includes AI747699 others) lipase, member O2 -1.083 AKAP8L AKAP8L A kinase (PRKA) anchor protein 8-like -1.263 AKR7A5 -1.225 AMBP AMBP alpha-1-microglobulin/bikunin precursor 1.074 ANAPC2 ANAPC2 anaphase promoting complex subunit 2 -1.134 ANKRD1 ANKRD1 ankyrin repeat domain 1 (cardiac muscle) 1.314 APOA1 APOA1 apolipoprotein A-I -1.086 ARHGAP26 ARHGAP26 Rho GTPase activating protein 26 -1.083 ARL5A ARL5A ADP-ribosylation factor-like 5A -1.212 ARMC3 ARMC3 armadillo repeat containing 3 -1.077 ARPC5 ARPC5 actin related protein 2/3 complex, subunit 5, 16kDa -1.190 activating transcription factor 4 (tax-responsive enhancer element ATF4 ATF4 B67) 1.481 AU014645 NCBP1 nuclear cap -
Avian Binocularity and Adaptation to Nocturnal Environments: Genomic Insights Froma Highly Derived Visual Phenotype Rui Borges Universidade Do Porto - Portugal
Nova Southeastern University NSUWorks Biology Faculty Articles Department of Biological Sciences 8-22-2019 Avian Binocularity and Adaptation to Nocturnal Environments: Genomic Insights froma Highly Derived Visual Phenotype Rui Borges Universidade do Porto - Portugal Joao Fonseca Universidade do Porto - Portugal Cidalia Gomes Universidade do Porto - Portugal Warren E. Johnson Smithsonian Institution Stephen James O'Brien St. Petersburg State University - Russia; Nova Southeastern University, [email protected] See next page for additional authors Follow this and additional works at: https://nsuworks.nova.edu/cnso_bio_facarticles Part of the Biology Commons NSUWorks Citation Borges, Rui; Joao Fonseca; Cidalia Gomes; Warren E. Johnson; Stephen James O'Brien; Guojie Zhang; M. Thomas P. Gilbert; Erich D. Jarvis; and Agostinho Antunes. 2019. "Avian Binocularity and Adaptation to Nocturnal Environments: Genomic Insights froma Highly Derived Visual Phenotype." Genome Biology and Evolution 11, (8): 2244-2255. doi:10.1093/gbe/evz111. This Article is brought to you for free and open access by the Department of Biological Sciences at NSUWorks. It has been accepted for inclusion in Biology Faculty Articles by an authorized administrator of NSUWorks. For more information, please contact [email protected]. Authors Rui Borges, Joao Fonseca, Cidalia Gomes, Warren E. Johnson, Stephen James O'Brien, Guojie Zhang, M. Thomas P. Gilbert, Erich D. Jarvis, and Agostinho Antunes This article is available at NSUWorks: https://nsuworks.nova.edu/cnso_bio_facarticles/982 GBE Avian Binocularity and Adaptation to Nocturnal Environments: Genomic Insights from a Highly Derived Visual Downloaded from https://academic.oup.com/gbe/article-abstract/11/8/2244/5544263 by Nova Southeastern University/HPD Library user on 16 September 2019 Phenotype Rui Borges1,2,Joao~ Fonseca1,Cidalia Gomes1, Warren E. -
RNA-Seq Transcriptome Reveals Different Molecular Responses
Zhao et al. BMC Genomics (2020) 21:475 https://doi.org/10.1186/s12864-020-06885-4 RESEARCH ARTICLE Open Access RNA-Seq transcriptome reveals different molecular responses during human and mouse oocyte maturation and fertilization Zheng-Hui Zhao1,2, Tie-Gang Meng1,3, Ang Li1, Heide Schatten4, Zhen-Bo Wang1,2* and Qing-Yuan Sun1,3* Abstract Background: Female infertility is a worldwide concern and the etiology of infertility has not been thoroughly demonstrated. Although the mouse is a good model system to perform functional studies, the differences between mouse and human also need to be considered. The objective of this study is to elucidate the different molecular mechanisms underlying oocyte maturation and fertilization between human and mouse. Results: A comparative transcriptome analysis was performed to identify the differentially expressed genes and associated biological processes between human and mouse oocytes. In total, 8513 common genes, as well as 15, 165 and 6126 uniquely expressed genes were detected in human and mouse MII oocytes, respectively. Additionally, the ratios of non-homologous genes in human and mouse MII oocytes were 37 and 8%, respectively. Functional categorization analysis of the human MII non-homologous genes revealed that cAMP-mediated signaling, sister chromatid cohesin, and cell recognition were the major enriched biological processes. Interestingly, we couldn’t detect any GO categories in mouse non-homologous genes. Conclusions: This study demonstrates that human and mouse oocytes exhibit significant differences in gene expression profiles during oocyte maturation, which probably deciphers the differential molecular responses to oocyte maturation and fertilization. The significant differences between human and mouse oocytes limit the generalizations from mouse to human oocyte maturation. -
Supplementary Data
Supplementary Fig. 1 A B Responder_Xenograft_ Responder_Xenograft_ NON- NON- Lu7336, Vehicle vs Lu7466, Vehicle vs Responder_Xenograft_ Responder_Xenograft_ Sagopilone, Welch- Sagopilone, Welch- Lu7187, Vehicle vs Lu7406, Vehicle vs Test: 638 Test: 600 Sagopilone, Welch- Sagopilone, Welch- Test: 468 Test: 482 Responder_Xenograft_ NON- Lu7860, Vehicle vs Responder_Xenograft_ Sagopilone, Welch - Lu7558, Vehicle vs Test: 605 Sagopilone, Welch- Test: 333 Supplementary Fig. 2 Supplementary Fig. 3 Supplementary Figure S1. Venn diagrams comparing probe sets regulated by Sagopilone treatment (10mg/kg for 24h) between individual models (Welsh Test ellipse p-value<0.001 or 5-fold change). A Sagopilone responder models, B Sagopilone non-responder models. Supplementary Figure S2. Pathway analysis of genes regulated by Sagopilone treatment in responder xenograft models 24h after Sagopilone treatment by GeneGo Metacore; the most significant pathway map representing cell cycle/spindle assembly and chromosome separation is shown, genes upregulated by Sagopilone treatment are marked with red thermometers. Supplementary Figure S3. GeneGo Metacore pathway analysis of genes differentially expressed between Sagopilone Responder and Non-Responder models displaying –log(p-Values) of most significant pathway maps. Supplementary Tables Supplementary Table 1. Response and activity in 22 non-small-cell lung cancer (NSCLC) xenograft models after treatment with Sagopilone and other cytotoxic agents commonly used in the management of NSCLC Tumor Model Response type -
D82b54407ece9642da45e12eee
Oxford Medical Case Reports, 2020;4,1–3 doi: 10.1093/omcr/omaa031 Case Report CASE REPORT Novel mutation in the RAB3GAP1 gene, the first diagnosed Warburg Micro syndrome case in Syria Soubhi Tenawi1,†, Rawan Al Khudari1,†,* and Diana Alasmar2 1Faculty of Medicine, Damascus University, Damascus, Syria, 2Professor of Inborn Errors of Metabolism, Pediatrics Department, Damascus University, Damascus, Syria *Correspondence address. Faculty of Medicine, Damascus University, Damascus, Syria. Tel: +963992336336; E-mail: [email protected] Abstract Warburg Micro syndrome is a rare autosomal recessive disease due to mutation in the RAB3GAP1, RAB3GAP2, RAB18 and TBC1D20 genes. It is commonly seen in consanguineous marriages, characterized by optic (microcornea, microphthalmia, congenital cataracts), neurologic )microcephaly, corpus callosum hypoplasia, severe mental retardation( and hypogonadism; some non-typical findings could be present (cardiomyopathy, peripheral neuropathy). We report a novel homozygous mutation in the RAB3GAP1 gene in a 7-month-old boy from healthy nonconsanguineous parents from the same village in Syria, with bilateral congenital cataracts, hypogonadism, muscular hypotonia and severe developmental delay. Whole exome sequencing (WES) showed a homozygous mutation in the c.2195del p.(Pro732Glnfs∗6) in exon 19 of the RAB3GAP1 gene, which is likely pathogenic and correlates with Warburg Micro syndrome type 1. INTRODUCTION eye and brain [4]. Here, we report a novel RAB3GAP1 homozygous mutation in a child with WARBM. Warburg Micro syndrome (WARBM) is a rare autosomal reces- sive disorder characterized by postnatal growth retardation, hypoplasia of the corpus callosum, microcephalus, delayed CASE REPORT motor development, severe intellectual disability, microph- thalmia, microcornea, congenital cataracts, optic atrophy and A 7-month-old boy presented to Children’s University Hospi- hypogonadism [1]. -
Vitamins D3 and D2 Have Marked but Different Global Effects on Gene
Mengozzi et al. Molecular Medicine (2020) 26:32 Molecular Medicine https://doi.org/10.1186/s10020-020-00153-7 RESEARCH ARTICLE Open Access Vitamins D3 and D2 have marked but different global effects on gene expression in a rat oligodendrocyte precursor cell line Manuela Mengozzi1,2, Andrew Hesketh2,3, Giselda Bucca2,3, Pietro Ghezzi1,2* and Colin P. Smith2,3 Abstract Background: Vitamin D deficiency increases the risk of developing multiple sclerosis (MS) but it is unclear whether vitamin D supplementation improves the clinical course of MS, and there is uncertainty about the dose and form of vitamin D (D2 or D3) to be used. The mechanisms underlying the effects of vitamin D in MS are not clear. Vitamin D3 increases the rate of differentiation of primary oligodendrocyte precursor cells (OPCs), suggesting that it might help remyelination in addition to modulating the immune response. Here we analyzed the transcriptome of differentiating rat CG4 OPCs treated with vitamin D2 or with vitamin D3 at 24 h and 72 h following onset of differentiation. Methods: Gene expression in differentiating CG4 cells in response to vitamin D2 or D3 was quantified using Agilent DNA microarrays (n = 4 replicates), and the transcriptome data were processed and analysed using the R software environment. Differential expression between the experimental conditions was determined using LIMMA, applying the Benjamini and Hochberg multiple testing correction to p-values, and significant genes were grouped into co- expression clusters by hierarchical clustering. The functional significance of gene groups was explored by pathway enrichment analysis using the clusterProfiler package. Results: Differentiation alone changed the expression of about 10% of the genes at 72 h compared to 24 h. -
Download Ppis for Each Single Seed, Thus Obtaining Each Seed’S Interactome (Ferrari Et Al., 2018)
bioRxiv preprint doi: https://doi.org/10.1101/2021.01.14.425874; this version posted January 16, 2021. 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. Integrating protein networks and machine learning for disease stratification in the Hereditary Spastic Paraplegias Nikoleta Vavouraki1,2, James E. Tomkins1, Eleanna Kara3, Henry Houlden3, John Hardy4, Marcus J. Tindall2,5, Patrick A. Lewis1,4,6, Claudia Manzoni1,7* Author Affiliations 1: Department of Pharmacy, University of Reading, Reading, RG6 6AH, United Kingdom 2: Department of Mathematics and Statistics, University of Reading, Reading, RG6 6AH, United Kingdom 3: Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, WC1N 3BG, United Kingdom 4: Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, WC1N 3BG, United Kingdom 5: Institute of Cardiovascular and Metabolic Research, University of Reading, Reading, RG6 6AS, United Kingdom 6: Department of Comparative Biomedical Sciences, Royal Veterinary College, London, NW1 0TU, United Kingdom 7: School of Pharmacy, University College London, London, WC1N 1AX, United Kingdom *Corresponding author: [email protected] Abstract The Hereditary Spastic Paraplegias are a group of neurodegenerative diseases characterized by spasticity and weakness in the lower body. Despite the identification of causative mutations in over 70 genes, the molecular aetiology remains unclear. Due to the combination of genetic diversity and variable clinical presentation, the Hereditary Spastic Paraplegias are a strong candidate for protein- protein interaction network analysis as a tool to understand disease mechanism(s) and to aid functional stratification of phenotypes. -
Systematic Elucidation of Neuron-Astrocyte Interaction in Models of Amyotrophic Lateral Sclerosis Using Multi-Modal Integrated Bioinformatics Workflow
ARTICLE https://doi.org/10.1038/s41467-020-19177-y OPEN Systematic elucidation of neuron-astrocyte interaction in models of amyotrophic lateral sclerosis using multi-modal integrated bioinformatics workflow Vartika Mishra et al.# 1234567890():,; Cell-to-cell communications are critical determinants of pathophysiological phenotypes, but methodologies for their systematic elucidation are lacking. Herein, we propose an approach for the Systematic Elucidation and Assessment of Regulatory Cell-to-cell Interaction Net- works (SEARCHIN) to identify ligand-mediated interactions between distinct cellular com- partments. To test this approach, we selected a model of amyotrophic lateral sclerosis (ALS), in which astrocytes expressing mutant superoxide dismutase-1 (mutSOD1) kill wild-type motor neurons (MNs) by an unknown mechanism. Our integrative analysis that combines proteomics and regulatory network analysis infers the interaction between astrocyte-released amyloid precursor protein (APP) and death receptor-6 (DR6) on MNs as the top predicted ligand-receptor pair. The inferred deleterious role of APP and DR6 is confirmed in vitro in models of ALS. Moreover, the DR6 knockdown in MNs of transgenic mutSOD1 mice attenuates the ALS-like phenotype. Our results support the usefulness of integrative, systems biology approach to gain insights into complex neurobiological disease processes as in ALS and posit that the proposed methodology is not restricted to this biological context and could be used in a variety of other non-cell-autonomous communication