HRES-1/Rab4-Mediated Depletion of Drp1 Impairs Mitochondrial
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Lupus-Associated Endogenous Retroviral LTR Polymorphism and Epigenetic Imprinting Promote HRES-1/Rab4 Expression and Mtor Activation
Lupus-associated endogenous retroviral LTR polymorphism and epigenetic imprinting promote HRES-1/Rab4 expression and mTOR activation Aparna Godavarthy, … , Katalin Banki, Andras Perl JCI Insight. 2019. https://doi.org/10.1172/jci.insight.134010. Research In-Press Preview Immunology Graphical abstract Find the latest version: https://jci.me/134010/pdf LUPUS-ASSOCIATED ENDOGENOUS RETROVIRAL LTR POLYMORPHISM AND EPIGENETIC IMPRINTING PROMOTE HRES-1/RAB4 EXPRESSION AND MTOR ACTIVATION Aparna Godavarthy*1, Ryan Kelly*1, John Jimah1, Miguel Beckford1, Tiffany Caza1,2, David Fernandez1,2, Nick Huang1,3, Manuel Duarte1,2, Joshua Lewis1,2, Hind J. Fadel4, Eric M. Poeschla4, Katalin Banki5, and Andras Perl1,2,3 * These authors contributed equally to the study. 1, Division of Rheumatology, Department of Medicine; 2, Department of Microbiology and Immunology; 3, Department of Biochemistry and Molecular Biology, and 5, Department of Pathology, State University of New York, Upstate Medical University, College of Medicine, 750 East Adams Street, Syracuse, New York 13210; 4, Department of Molecular Medicine; Mayo Clinic College of Medicine, 200 First Street SW, Rochester 55905, USA; Correspondence: Andras Perl, M.D., Ph.D. , State University of New York, College of Medicine, 750 East Adams Street, Syracuse, New York 13210; Phone: (315) 464-4194; Fax: (315) 464- 4176; E-mail: [email protected] Key Words: Systemic Lupus Erythematosus, T Cells, HRES-1/Rab4. mTOR, Autoimmunity The authors have declared that no conflict of interest exists. Supplementary Materials include Supplemental Methods and Supplementary Figures S1-S26. 1 ABSTRACT Overexpression and long terminal repeat (LTR) polymorphism of the HRES-1/Rab4 human endogenous retrovirus locus have been associated with T-cell activation and disease manifestations in systemic lupus erythematosus (SLE). -
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. -
Behavioral and Other Phenotypes in a Cytoplasmic Dynein Light Intermediate Chain 1 Mutant Mouse
The Journal of Neuroscience, April 6, 2011 • 31(14):5483–5494 • 5483 Cellular/Molecular Behavioral and Other Phenotypes in a Cytoplasmic Dynein Light Intermediate Chain 1 Mutant Mouse Gareth T. Banks,1* Matilda A. Haas,5* Samantha Line,6 Hazel L. Shepherd,6 Mona AlQatari,7 Sammy Stewart,7 Ida Rishal,8 Amelia Philpott,9 Bernadett Kalmar,2 Anna Kuta,1 Michael Groves,3 Nicholas Parkinson,1 Abraham Acevedo-Arozena,10 Sebastian Brandner,3,4 David Bannerman,6 Linda Greensmith,2,4 Majid Hafezparast,9 Martin Koltzenburg,2,4,7 Robert Deacon,6 Mike Fainzilber,8 and Elizabeth M. C. Fisher1,4 1Department of Neurodegenerative Disease, 2Sobell Department of Motor Science and Movement Disorders, 3Division of Neuropathology, and 4Medical Research Council (MRC) Centre for Neuromuscular Diseases, University College London (UCL) Institute of Neurology, London WC1N 3BG, United Kingdom, 5MRC National Institute for Medical Research, London NW7 1AA, United Kingdom, 6Department of Experimental Psychology, University of Oxford, Oxford OX1 3UD, United Kingdom, 7UCL Institute of Child Health, London WC1N 1EH, United Kingdom, 8Department of Biological Chemistry, Weizmann Institute of Science, 76100 Rehovot, Israel, 9School of Life Sciences, University of Sussex, Brighton BN1 9QG, United Kingdom, and 10MRC Mammalian Genetics Unit, Harwell OX11 ORD, United Kingdom The cytoplasmic dynein complex is fundamentally important to all eukaryotic cells for transporting a variety of essential cargoes along microtubules within the cell. This complex also plays more specialized roles in neurons. The complex consists of 11 types of protein that interact with each other and with external adaptors, regulators and cargoes. Despite the importance of the cytoplasmic dynein complex, weknowcomparativelylittleoftherolesofeachcomponentprotein,andinmammalsfewmutantsexistthatallowustoexploretheeffects of defects in dynein-controlled processes in the context of the whole organism. -
Rabbit Anti-RABEP1 Antibody-SL19721R
SunLong Biotech Co.,LTD Tel: 0086-571- 56623320 Fax:0086-571- 56623318 E-mail:[email protected] www.sunlongbiotech.com Rabbit Anti-RABEP1 antibody SL19721R Product Name: RABEP1 Chinese Name: RABEP1蛋白抗体 Neurocrescin; Rab GTPase binding effector protein 1; RAB5EP; Rabaptin 4; Rabaptin Alias: 5; Rabaptin 5alpha; RABPT5; RABPT5A; Renal carcinoma antigen NY REN 17; Renal carcinoma antigen NYREN17. Organism Species: Rabbit Clonality: Polyclonal React Species: Human,Mouse,Rat, ELISA=1:500-1000IHC-P=1:400-800IHC-F=1:400-800ICC=1:100-500IF=1:100- 500(Paraffin sections need antigen repair) Applications: not yet tested in other applications. optimal dilutions/concentrations should be determined by the end user. Molecular weight: 99kDa Cellular localization: The cell membrane Form: Lyophilized or Liquid Concentration: 1mg/ml immunogen: KLH conjugated synthetic peptide derived from human RABEP1:501-600/862 Lsotype: IgGwww.sunlongbiotech.com Purification: affinity purified by Protein A Storage Buffer: 0.01M TBS(pH7.4) with 1% BSA, 0.03% Proclin300 and 50% Glycerol. Store at -20 °C for one year. Avoid repeated freeze/thaw cycles. The lyophilized antibody is stable at room temperature for at least one month and for greater than a year Storage: when kept at -20°C. When reconstituted in sterile pH 7.4 0.01M PBS or diluent of antibody the antibody is stable for at least two weeks at 2-4 °C. PubMed: PubMed RABEP1 is a Rab effector protein acting as linker between gamma-adaptin, RAB4A and RAB5A. It is involved in endocytic membrane fusion and membrane trafficking of Product Detail: recycling endosomes. Stimulates RABGEF1 mediated nucleotide exchange on RAB5A. -
Supplementary Table 2
Supplementary Table 2. Differentially Expressed Genes following Sham treatment relative to Untreated Controls Fold Change Accession Name Symbol 3 h 12 h NM_013121 CD28 antigen Cd28 12.82 BG665360 FMS-like tyrosine kinase 1 Flt1 9.63 NM_012701 Adrenergic receptor, beta 1 Adrb1 8.24 0.46 U20796 Nuclear receptor subfamily 1, group D, member 2 Nr1d2 7.22 NM_017116 Calpain 2 Capn2 6.41 BE097282 Guanine nucleotide binding protein, alpha 12 Gna12 6.21 NM_053328 Basic helix-loop-helix domain containing, class B2 Bhlhb2 5.79 NM_053831 Guanylate cyclase 2f Gucy2f 5.71 AW251703 Tumor necrosis factor receptor superfamily, member 12a Tnfrsf12a 5.57 NM_021691 Twist homolog 2 (Drosophila) Twist2 5.42 NM_133550 Fc receptor, IgE, low affinity II, alpha polypeptide Fcer2a 4.93 NM_031120 Signal sequence receptor, gamma Ssr3 4.84 NM_053544 Secreted frizzled-related protein 4 Sfrp4 4.73 NM_053910 Pleckstrin homology, Sec7 and coiled/coil domains 1 Pscd1 4.69 BE113233 Suppressor of cytokine signaling 2 Socs2 4.68 NM_053949 Potassium voltage-gated channel, subfamily H (eag- Kcnh2 4.60 related), member 2 NM_017305 Glutamate cysteine ligase, modifier subunit Gclm 4.59 NM_017309 Protein phospatase 3, regulatory subunit B, alpha Ppp3r1 4.54 isoform,type 1 NM_012765 5-hydroxytryptamine (serotonin) receptor 2C Htr2c 4.46 NM_017218 V-erb-b2 erythroblastic leukemia viral oncogene homolog Erbb3 4.42 3 (avian) AW918369 Zinc finger protein 191 Zfp191 4.38 NM_031034 Guanine nucleotide binding protein, alpha 12 Gna12 4.38 NM_017020 Interleukin 6 receptor Il6r 4.37 AJ002942 -
Supplementary Materials and Tables a and B
SUPPLEMENTARY MATERIAL 1 Table A. Main characteristics of the subset of 23 AML patients studied by high-density arrays (subset A) WBC BM blasts MYST3- MLL Age/Gender WHO / FAB subtype Karyotype FLT3-ITD NPM status (x109/L) (%) CREBBP status 1 51 / F M4 NA 21 78 + - G A 2 28 / M M4 t(8;16)(p11;p13) 8 92 + - G G 3 53 / F M4 t(8;16)(p11;p13) 27 96 + NA G NA 4 24 / M PML-RARα / M3 t(15;17) 5 90 - - G G 5 52 / M PML-RARα / M3 t(15;17) 1.5 75 - - G G 6 31 / F PML-RARα / M3 t(15;17) 3.2 89 - - G G 7 23 / M RUNX1-RUNX1T1 / M2 t(8;21) 38 34 - + ND G 8 52 / M RUNX1-RUNX1T1 / M2 t(8;21) 8 68 - - ND G 9 40 / M RUNX1-RUNX1T1 / M2 t(8;21) 5.1 54 - - ND G 10 63 / M CBFβ-MYH11 / M4 inv(16) 297 80 - - ND G 11 63 / M CBFβ-MYH11 / M4 inv(16) 7 74 - - ND G 12 59 / M CBFβ-MYH11 / M0 t(16;16) 108 94 - - ND G 13 41 / F MLLT3-MLL / M5 t(9;11) 51 90 - + G R 14 38 / F M5 46, XX 36 79 - + G G 15 76 / M M4 46 XY, der(10) 21 90 - - G NA 16 59 / M M4 NA 29 59 - - M G 17 26 / M M5 46, XY 295 92 - + G G 18 62 / F M5 NA 67 88 - + M A 19 47 / F M5 del(11q23) 17 78 - + M G 20 50 / F M5 46, XX 61 59 - + M G 21 28 / F M5 46, XX 132 90 - + G G 22 30 / F AML-MD / M5 46, XX 6 79 - + M G 23 64 / M AML-MD / M1 46, XY 17 83 - + M G WBC: white blood cell. -
Parent-Of-Origin Effects on Quantitative Phenotypes in a Large Hutterite Pedigree
ARTICLE https://doi.org/10.1038/s42003-018-0267-4 OPEN Parent-of-origin effects on quantitative phenotypes in a large Hutterite pedigree Sahar V. Mozaffari 1,2, Jeanne M. DeCara3, Sanjiv J. Shah4, Carlo Sidore5, Edoardo Fiorillo5, Francesco Cucca5,6, Roberto M. Lang3, Dan L. Nicolae1,2,3,7 & Carole Ober1,2 1234567890():,; The impact of the parental origin of associated alleles in GWAS has been largely ignored. Yet sequence variants could affect traits differently depending on whether they are inherited from the mother or the father, as in imprinted regions, where identical inherited DNA sequences can have different effects based on the parental origin. To explore parent-of-origin effects (POEs), we studied 21 quantitative phenotypes in a large Hutterite pedigree to identify variants with single parent (maternal-only or paternal-only) effects, and then variants with opposite parental effects. Here we show that POEs, which can be opposite in direction, are relatively common in humans, have potentially important clinical effects, and will be missed in traditional GWAS. We identified POEs with 11 phenotypes, most of which are risk factors for cardiovascular disease. Many of the loci identified are characteristic of imprinted regions and are associated with the expression of nearby genes. 1 Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA. 2 Committee on Genetics, Genomics, and Systems Biology, University of Chicago, Chicago, IL 60637, USA. 3 Department of Medicine, University of Chicago, Chicago, IL 60637, USA. 4 Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA. 5 Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato 09042, Italy. -
Supplementary Figure 1 Standardization of Gene Expression
Supplementary Figure 1 Standardization of gene expression Notes: (A) Standardization of GSE86544, (B) standardization of GSE103479, (C) standardization of GSE102238, (D) Standardization of GSE7055. The blue bar represents the data before normalization, and the red bar represents the data after normalization. Supplementary Figure 2 Correlation between module eigengenes and clinical traits especially PNI in GSE103479 and GSE102238 datasets. Notes: (A, B) Module-trait relationships in GSE103479 and GSE102238 datasets. The correlation coefficients and corresponding P-values in the brackets are contained in each cell. The table is color- coded by correlation between eigengenes and traits according to the color legend on the right side. The modules with the most significant differences are displayed in brackets. Abbreviations: PNI, perineural invasion. Supplementary Figure 3 The expression values of CCNB2 in pancreatic cancer (GSE102238) and colon cancer (GSE103479). Notes: (A, B) CCNB2 expression values were detected in GSE102238 and GSE103479. Abbreviations: CCNB2, cyclin B2 Supplementary Table 1 Results of top 20 pathway enrichment analysis of GSE7055 Term Category Description Count Log10(P) Genes GO:0000280 GO Biological nuclear division 33 -23.4 BIRC5,BUB1B,CCNB1,CCNE1,CDC20, Processes CKS2,KIF11,MAD2L1,MYBL2,SPAST, TOP2A,TTK,PRC1,PKMYT1,PTTG1,T RIP13,DLGAP5,TACC3,SMC2,SPAG5, UBE2C,ZWINT,TPX2,FBXO5,RACGA P1,NUSAP1,SPDL1,CDCA8,CEP55,ND C1,NSFL1C,KIF18B,ASPM GO:1902850 GO Biological microtubule 15 -12.89 BIRC5,CCNB1,CDC20,KIF11,MAD2L1 Processes -
Rab Proteins and the Compartmentalization of the Endosomal System
Downloaded from http://cshperspectives.cshlp.org/ on September 26, 2021 - Published by Cold Spring Harbor Laboratory Press Rab Proteins and the Compartmentalization of the Endosomal System Angela Wandinger-Ness1 and Marino Zerial2 1Department of Pathology MSC08 4640, University of New Mexico HSC, Albuquerque, New Mexico 87131 2Max Planck Institute of Molecular and Cell Biology and Genetics, 01307 Dresden, Germany Correspondence: [email protected]; [email protected] Of the approximately 70 human Rab GTPases, nearly three-quarters are involved in endo- cytic trafficking. Significant plasticity in endosomal membrane transport pathways is closely coupled to receptor signaling and Rab GTPase-regulated scaffolds. Here we review current literature pertaining to endocytic Rab GTPaselocalizations, functions, and coordination with regulatory proteins and effectors. The roles of Rab GTPasesin (1) compartmentalization of the endocytic pathway into early, recycling, late, and lysosomal routes; (2) coordination of individual transport steps from vesicle budding to fusion; (3) effector interactomes; and (4) integration of GTPase and signaling cascades are discussed. he general working principle of Rab coded by interacting proteins (Wittinghofer TGTPases is that they contribute to the struc- et al. 1993). Guanine-nucleotide exchange fac- tural and functional identity of intracellular or- tors (GEFs) and GTPase-activating proteins ganelles. These functions rely on the versatile (GAPs) catalyze the exchange and hydrolysis GTP/GDP cycle for the assembly of multipro- reactions and, therefore, act as regulators of tein machineries on the cytoplasmic surface of the GTP–GDP cycle (Yoshimura et al. 2010; intracellular membranes. Rab GTPase protein Wu et al. 2011; Barr 2013; Guo et al. 2013; Kot- assemblies are spatially and temporally regulat- ting and Gerwert 2013). -
5. Rab Proteins
Rabaptin5 is recruited to endosomes by Rab4a and Rabex5 to regulate endosome maturation Inauguraldissertation zur Erlangung der Würde eines Doktors der Philosophie vorgelegt der Philosophisch-Naturwissenschaftlichen Faktultät der Universität Basel von Simone Kälin aus Einsiedeln (SZ) Basel, 2014 Genehmigt von der Philosophisch-Naturwissenschaftlichen Fakultät auf Antrag von Prof. Dr. Martin Spiess Prof. Dr. Kurt Ballmer Basel, den 18. Februar 2014 Prof. Dr. Jörg Schibler Dekan 3 Acknowledgments I would like to express my sincerest thanks to the following people: Martin Spiess for giving me the opportunity to work on this project and for his continuous support. My thesis committee members, Kurt Ballmer and Markus Rüegg, for your time, helpful dis- cussions and advice. David Hirschmann for data contributions and experimental advice Nicole Beuret, who had always an open ear for technical questions and for always offering a helping hand. All the past and present members of the Spiess group for a great working atmosphere, an- swering questions, giving input and relaxing coffee and lunch breaks: Cristina Baschong, Julia Birk, Dominik Buser, Erhan Demirci, Franziska Hasler, Sonja Huser, Tina Junne, Lucyna Kocik, Deyan Mihov and Barry Shortt. Andrijana Kriz and Philipp Berger for introducing me to the MultiLabel system Aurélien Rizk for helping me with the quantitation of the endosome size 4 Summary Membrane trafficking between organelles is fundamental to the existence of eukaryotic cells. A multitude of proteins is involved in membrane trafficking, acting as building blocks for transport carriers, regulators of transport, and targeting and fusion factors. One important group of regulators are the Rab GTPases. They serve as multifaceted organizers of almost all membrane trafficking related processes in eukaryotic cells. -
TBC1D8B Mutations Implicate RAB11-Dependent Vesicular Trafficking in the Pathogenesis of Nephrotic Syndrome
BASIC RESEARCH www.jasn.org TBC1D8B Mutations Implicate RAB11-Dependent Vesicular Trafficking in the Pathogenesis of Nephrotic Syndrome Lina L. Kampf,1 Ronen Schneider,2 Lea Gerstner,1 Roland Thünauer,3,4 Mengmeng Chen,1 Martin Helmstädter,1 Ali Amar,2 Ana C. Onuchic-Whitford,2,5 Reyner Loza Munarriz,6 Afig Berdeli,7 Dominik Müller,8 Eva Schrezenmeier,9 Klemens Budde,9 Shrikant Mane,10 Kristen M. Laricchia,11 Heidi L. Rehm ,11 Daniel G. MacArthur,11 Richard P. Lifton,10,12 Gerd Walz,1 Winfried Römer,3 Carsten Bergmann,13,14,15 Friedhelm Hildebrandt,2 and Tobias Hermle 1 Due to the number of contributing authors, the affiliations are listed at the end of this article. ABSTRACT Background Mutations in about 50 genes have been identified as monogenic causes of nephrotic syndrome, a frequent cause of CKD. These genes delineated the pathogenetic pathways and rendered significant insight into podocyte biology. Methods We used whole-exome sequencing to identify novel monogenic causes of steroid-resistant nephrotic syndrome (SRNS). We analyzed the functional significance of an SRNS-associated gene in vitro and in podocyte-like Drosophila nephrocytes. Results We identified hemizygous missense mutations in the gene TBC1D8B in five families with nephrotic syndrome. Coimmunoprecipitation assays indicated interactions between TBC1D8B and active forms of RAB11. Silencing TBC1D8B in HEK293T cells increased basal autophagy and exocytosis, two cellular functions that are independently regulated by RAB11. This suggests that TBC1D8B plays a regulatory role by inhibiting endogenous RAB11. Coimmunoprecipitation assays showed TBC1D8B also interacts with the slit diaphragm protein nephrin, and colocalizes with it in immortalized cell lines. -
Prioritizing Parkinson's Disease Genes Using Population-Scale Transcriptomic Data
bioRxiv preprint doi: https://doi.org/10.1101/231001; this version posted December 8, 2017. 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-NC-ND 4.0 International license. Prioritizing Parkinson's Disease genes using population-scale tran- scriptomic data Yang I Li1;5,Garrett Wong2;5, Jack Humphrey3;4, Towfique Raj2∗ 1Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL 2Departments of Neuroscience, and Genetics and Genomic Sciences, Ronald M. Loeb Center for Alzheimer's disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA 3UCL Genetics Institute, Gower Street, London, UK 4Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK 5These authors contributed equally to this work. Correspondence should be addressed to T.R. (towfi[email protected]) Abstract Genome-wide association studies (GWAS) have identified over 41 susceptibility loci associated with late-onset Parkinson's Disease (PD) but identifying putative causal genes and the underlying mechanisms remains challenging. To address this, we leveraged large-scale transcriptomic datasets to prioritize genes that are likely to affect PD. We found 29 gene associations in peripheral monocytes, and 44 gene associations whose expression or differential splicing in prefrontal cortex is associated with PD. This includes many novel genes but also known associations such as MAPT, for which we found that variation in exon 3 splicing explains the common genetic association. Genes identified in our analyses are more likely to interact physically with known PD genes and belong to the same or related pathways including lysosomal and innate immune function.