Mitofusin 2 but Not Mitofusin 1 Mediates Bcl-XL-Induced
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Amyloid Β-Peptide Increases Mitochondria-Endoplasmic
cells Article Amyloid β-Peptide Increases Mitochondria-Endoplasmic Reticulum Contact Altering Mitochondrial Function and Autophagosome Formation in Alzheimer’s Disease-Related Models Nuno Santos Leal 1,*, Giacomo Dentoni 1 , Bernadette Schreiner 1 , Luana Naia 1, Antonio Piras 1, Caroline Graff 1, Antonio Cattaneo 2, Giovanni Meli 2 , Maho Hamasaki 3, Per Nilsson 1 and Maria Ankarcrona 1,* 1 Division of Neurogeriatrics, Department of Neurobiology, Care Science and Society, Karolinska Institutet, BioClinicum J9:20, Visionsgatan 4, 171 64 Solna, Sweden; [email protected] (G.D.); [email protected] (B.S.); [email protected] (L.N.); [email protected] (A.P.); caroline.graff@ki.se (C.G.); [email protected] (P.N.) 2 European Brain Research Institute (EBRI), Viale Regina Elena 295, 00161 Roma, Italy; [email protected] (A.C.); [email protected] (G.M.) 3 Department of Genetics, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan; [email protected] * Correspondence: [email protected] (N.S.L.); [email protected] (M.A.); Tel.: +44-122-333-4390 (N.S.L.); +46-852-483-577 (M.A.) Received: 23 October 2020; Accepted: 25 November 2020; Published: 28 November 2020 Abstract: Recent findings have shown that the connectivity and crosstalk between mitochondria and the endoplasmic reticulum (ER) at mitochondria–ER contact sites (MERCS) are altered in Alzheimer’s disease (AD) and in AD-related models. MERCS have been related to the initial steps of autophagosome formation as well as regulation of mitochondrial function. Here, the interplay between MERCS, mitochondria ultrastructure and function and autophagy were evaluated in different AD animal models with increased levels of Aβ as well as in primary neurons derived from these animals. -
The Mitochondrial Kinase PINK1 in Diabetic Kidney Disease
International Journal of Molecular Sciences Review The Mitochondrial Kinase PINK1 in Diabetic Kidney Disease Chunling Huang * , Ji Bian , Qinghua Cao, Xin-Ming Chen and Carol A. Pollock * Kolling Institute, Sydney Medical School, Royal North Shore Hospital, University of Sydney, St. Leonards, NSW 2065, Australia; [email protected] (J.B.); [email protected] (Q.C.); [email protected] (X.-M.C.) * Correspondence: [email protected] (C.H.); [email protected] (C.A.P.); Tel.: +61-2-9926-4784 (C.H.); +61-2-9926-4652 (C.A.P.) Abstract: Mitochondria are critical organelles that play a key role in cellular metabolism, survival, and homeostasis. Mitochondrial dysfunction has been implicated in the pathogenesis of diabetic kidney disease. The function of mitochondria is critically regulated by several mitochondrial protein kinases, including the phosphatase and tensin homolog (PTEN)-induced kinase 1 (PINK1). The focus of PINK1 research has been centered on neuronal diseases. Recent studies have revealed a close link between PINK1 and many other diseases including kidney diseases. This review will provide a concise summary of PINK1 and its regulation of mitochondrial function in health and disease. The physiological role of PINK1 in the major cells involved in diabetic kidney disease including proximal tubular cells and podocytes will also be summarized. Collectively, these studies suggested that targeting PINK1 may offer a promising alternative for the treatment of diabetic kidney disease. Keywords: PINK1; diabetic kidney disease; mitochondria; mitochondria quality control; mitophagy Citation: Huang, C.; Bian, J.; Cao, Q.; 1. Introduction Chen, X.-M.; Pollock, C.A. -
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. -
Identification and Characterization of TPRKB Dependency in TP53 Deficient Cancers
Identification and Characterization of TPRKB Dependency in TP53 Deficient Cancers. by Kelly Kennaley A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Molecular and Cellular Pathology) in the University of Michigan 2019 Doctoral Committee: Associate Professor Zaneta Nikolovska-Coleska, Co-Chair Adjunct Associate Professor Scott A. Tomlins, Co-Chair Associate Professor Eric R. Fearon Associate Professor Alexey I. Nesvizhskii Kelly R. Kennaley [email protected] ORCID iD: 0000-0003-2439-9020 © Kelly R. Kennaley 2019 Acknowledgements I have immeasurable gratitude for the unwavering support and guidance I received throughout my dissertation. First and foremost, I would like to thank my thesis advisor and mentor Dr. Scott Tomlins for entrusting me with a challenging, interesting, and impactful project. He taught me how to drive a project forward through set-backs, ask the important questions, and always consider the impact of my work. I’m truly appreciative for his commitment to ensuring that I would get the most from my graduate education. I am also grateful to the many members of the Tomlins lab that made it the supportive, collaborative, and educational environment that it was. I would like to give special thanks to those I’ve worked closely with on this project, particularly Dr. Moloy Goswami for his mentorship, Lei Lucy Wang, Dr. Sumin Han, and undergraduate students Bhavneet Singh, Travis Weiss, and Myles Barlow. I am also grateful for the support of my thesis committee, Dr. Eric Fearon, Dr. Alexey Nesvizhskii, and my co-mentor Dr. Zaneta Nikolovska-Coleska, who have offered guidance and critical evaluation since project inception. -
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. -
2328.Full.Pdf
Altered interplay between endoplasmic reticulum and mitochondria in Charcot–Marie–Tooth type 2A neuropathy Nathalie Bernard-Marissala,b,1, Gerben van Hamerenc, Manisha Junejad,e, Christophe Pellegrinof, Lauri Louhivuorig, Luca Bartesaghih,i, Cylia Rochata, Omar El Mansoura, Jean-Jacques Médardh,i, Marie Croisierj, Catherine Maclachlanj, Olivier Poirotk, Per Uhléng, Vincent Timmermand,e, Nicolas Tricaudc, Bernard L. Schneidera,1,2, and Roman Chrasth,i,1,2 aBrain Mind Institute, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland; bMarseille Medical Genetics, INSERM, Aix-Marseille Univ, 13385 Marseille, France; cINSERM U1051, Institut des Neurosciences de Montpellier, Université de Montpellier, 34295 Montpellier, France; dPeripheral Neuropathy Research Group, Department of Biomedical Sciences, University of Antwerp, 2610 Antwerp, Belgium; eInstitute Born Bunge, 2610 Antwerp, Belgium; fInstitut de Neurobiologie de la Méditerranée, INSERM, Aix-Marseille Univ, 13009 Marseille, France; gDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet, 17177 Stockholm, Sweden; hDepartment of Neuroscience, Karolinska Institutet, 17177 Stockholm, Sweden; iDepartment of Clinical Neuroscience, Karolinska Institutet, 17177 Stockholm, Sweden; jCentre of Interdisciplinary Electron Microscopy, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland; and kDepartment of Medical Genetics, University of Lausanne, 1005 Lausanne, Switzerland Edited by Stephen T. Warren, Emory University School of Medicine, Atlanta, GA, and approved December 14, 2018 (received for review June 26, 2018) Mutations in the MFN2 gene encoding Mitofusin 2 lead to the axons (8). However, the long-term progression of the disease and development of Charcot–Marie–Tooth type 2A (CMT2A), a domi- the mechanisms underlying motor and/or sensory dysfunction nant axonal form of peripheral neuropathy. Mitofusin 2 is local- have not been fully characterized in this model. -
Structural Insights Into Oligomerization and Mitochondrial Remodeling of Dynamin 1-Like Protein
Structural insights into oligomerization and mitochondrial remodeling of dynamin 1-like protein Dissertation zur Erlangung des akademischen Grades des Doktors der Naturwissenschaften (Dr. rer. nat.) eingereicht im Fachbereich Biologie, Chemie, Pharmazie der Freien Universität Berlin vorgelegt von Dipl.-Ing. Chris Fröhlich aus der Lutherstadt Eisleben Berlin 2013 ii Die vorliegende Arbeit wurde im Zeitraum April 2009 bis März 2013 am Max-Delbrück-Centrum für Molekulare Medizin Berlin-Buch unter Anleitung von PROF. DR. OLIVER DAUMKE angefertigt. 1. Gutachter: Prof. Dr. Udo Heinemann 2. Gutachter: Prof. Dr. Oliver Daumke Tag der Disputation: 29.07.2013 iii … to boldly go where no man has gone before. iv Contents ___________________________________________________________________________ Contents Contents ................................................................................................................................................... v List of Figures ........................................................................................................................................... ix List of Tables ............................................................................................................................................ xi 1. Introduction ..................................................................................................................................... 1 1.1. Mitochondria .......................................................................................................................... -
Supporting Information
Supporting Information Pouryahya et al. SI Text Table S1 presents genes with the highest absolute value of Ricci curvature. We expect these genes to have significant contribution to the network’s robustness. Notably, the top two genes are TP53 (tumor protein 53) and YWHAG gene. TP53, also known as p53, it is a well known tumor suppressor gene known as the "guardian of the genome“ given the essential role it plays in genetic stability and prevention of cancer formation (1, 2). Mutations in this gene play a role in all stages of malignant transformation including tumor initiation, promotion, aggressiveness, and metastasis (3). Mutations of this gene are present in more than 50% of human cancers, making it the most common genetic event in human cancer (4, 5). Namely, p53 mutations play roles in leukemia, breast cancer, CNS cancers, and lung cancers, among many others (6–9). The YWHAG gene encodes the 14-3-3 protein gamma, a member of the 14-3-3 family proteins which are involved in many biological processes including signal transduction regulation, cell cycle pro- gression, apoptosis, cell adhesion and migration (10, 11). Notably, increased expression of 14-3-3 family proteins, including protein gamma, have been observed in a number of human cancers including lung and colorectal cancers, among others, suggesting a potential role as tumor oncogenes (12, 13). Furthermore, there is evidence that loss Fig. S1. The histogram of scalar Ricci curvature of 8240 genes. Most of the genes have negative scalar Ricci curvature (75%). TP53 and YWHAG have notably low of p53 function may result in upregulation of 14-3-3γ in lung cancer Ricci curvatures. -
A Mutation in the Mitochondrial Fission Gene Dnm1l Leads to Cardiomyopathy
A Mutation in the Mitochondrial Fission Gene Dnm1l Leads to Cardiomyopathy Houman Ashrafian1, Louise Docherty2, Vincenzo Leo3, Christopher Towlson2, Monica Neilan2, Violetta Steeples1, Craig A. Lygate1, Tertius Hough3, Stuart Townsend3, Debbie Williams4, Sara Wells4, Dominic Norris4, Sarah Glyn-Jones5, John Land6, Ivana Barbaric7, Zuzanne Lalanne4, Paul Denny4, Dorota Szumska1, Shoumo Bhattacharya1, Julian L. Griffin5, Iain Hargreaves6, Narcis Fernandez-Fuentes3, Michael Cheeseman4, Hugh Watkins1, T. Neil Dear2,3,4* 1 Department of Cardiovascular Medicine and Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom, 2 Mammalian Genetics of Disease Unit, School of Medicine, University of Sheffield, Sheffield, United Kingdom, 3 Leeds Institute of Molecular Medicine, Wellcome Trust Brenner Building, St. James’s University Hospital, Leeds, United Kingdom, 4 Mary Lyon Centre and Mammalian Genetics Unit, Medical Research Council, Harwell, United Kingdom, 5 Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom, 6 Neurometabolic Unit, National Hospital, London, United Kingdom, 7 Department of Biomedical Science, University of Sheffield, Sheffield, United Kingdom Abstract Mutations in a number of genes have been linked to inherited dilated cardiomyopathy (DCM). However, such mutations account for only a small proportion of the clinical cases emphasising the need for alternative discovery approaches to uncovering novel pathogenic mutations in hitherto unidentified pathways. Accordingly, as part -
Mitochondrial Dynamic Abnormalities in Alzheimer's Disease Sirui Jiang Case Western Reserve University
MITOCHONDRIAL DYNAMIC ABNORMALITIES IN ALZHEIMER’S DISEASE by SIRUI JIANG Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy Dissertation Advisor: Dr. Xiongwei Zhu Department of Pathology CASE WESTERN RESERVE UNIVERSITY January 2019 CASE WESTERN RESERVE UNIVERSITY SCHOOL OF GRADUATE STUDIES We hereby approve the thesis/dissertation of SIRUI JIANG Candidate for the degree of Doctor of Philosophy* Dr. Shu Chen (Committee Chair) Dr. Xiongwei Zhu Dr. Xinglong Wang Dr. George Dubyak Dr. Charles Hoppel August 15, 2018 *We also certify that written approval has been obtained for any proprietary material contained therein Table of Contents Table of Contents 1 List of Figures 3 Acknowledgements 5 List of Abbreviations 7 Abstract 10 Chapter 1. Introduction 12 Introduction to Alzheimer’s Disease 13 General Information 13 Pathology 14 Pathogenesis 15 Introduction to Mitochondrial Dynamics 20 Mitochondrial Function and Neuronal Health 20 Mitochondrial Dynamics 21 Mitochondrial Dynamics and Mitochondrial Function 23 Mitochondrial Dynamics and Mitochondrial Transport 24 Mitochondrial Deficits in AD 26 Mitochondrial Dysfunction in AD 26 Aβ and Mitochondrial Dysfunction 27 Mitochondrial Dynamic Abnormalities in AD: Recent Advances 28 Conclusion 34 1 Chapter 2. Mfn2 ablation causes an oxidative stress response and eventual neuronal death in the hippocampus and cortex 36 Abstract 37 Background 39 Methods 43 Results 47 Discussion 54 Figures 60 Chapter 3. DLP1 Cleavage by Calpain in Alzheimer’s Disease 71 Abstract 72 Background 73 Methods 77 Results 80 Discussion 85 Figures 89 Chapter 4. Summary, Discussion and Future Directions 96 References 108 2 List of Figures Figure 2.1 Cre-mediated ablation of Mfn2 expression in the hippocampus and cortex of Mfn2 cKO mice 60 Figure 2.2 Quantification of DLP1 and OPA1 in cKO mice 61 Figure 2.3 Mfn2 ablation caused mitochondrial fragmentation and ultrastructural damage in the hippocampus in vivo as evidenced by electron microscopic analysis. -
Expression of DDX11 and DNM1L at the 12P11 Locus Modulates Systemic Lupus Erythematosus Susceptibility
International Journal of Molecular Sciences Article Expression of DDX11 and DNM1L at the 12p11 Locus Modulates Systemic Lupus Erythematosus Susceptibility Mohammad Saeed 1 , Alejandro Ibáñez-Costa 2 , Alejandra María Patiño-Trives 2, Laura Muñoz-Barrera 2, Eduardo Collantes Estévez 2 , María Ángeles Aguirre 2 and Chary López-Pedrera 2,* 1 ImmunoCure, Karachi 75500, Pakistan; [email protected] 2 Rheumatology Service, Maimonides Institute for Biomedical Research of Cordoba (IMIBIC), Reina Sofia Hospital, University of Cordoba, 14004 Cordoba, Spain; [email protected] (A.I.-C.); [email protected] (A.M.P.-T.); [email protected] (L.M.-B.); [email protected] (E.C.E.); [email protected] (M.Á.A.) * Correspondence: [email protected] Abstract: Objectives: This study employed genetic and functional analyses using OASIS meta- analysis of multiple existing GWAS and gene-expression datasets to identify novel SLE genes. Methods: Four hundred and ten genes were mapped using SNIPPER to 30 SLE GWAS loci and investigated for expression in three SLE GEO-datasets and the Cordoba GSE50395-dataset. Blood eQTL for significant SNPs in SLE loci and STRING for functional pathways of differentially expressed genes were used. Confirmatory qPCR on SLE monocytes was performed. The entire 12p11 locus was investigated for genetic association using two additional GWAS. Expression of 150 genes at Citation: Saeed, M.; Ibáñez-Costa, A.; this locus was assessed. Based on this significance, qPCRs for DNM1L and KRAS were performed. Patiño-Trives, A.M.; Muñoz-Barrera, Results: Fifty genes were differentially expressed in at least two SLE GEO-datasets, with all probes L.; Collantes Estévez, E.; Aguirre, M.Á.; López-Pedrera, C. -
Viral Infection Modulates Mitochondrial Function
International Journal of Molecular Sciences Review Viral Infection Modulates Mitochondrial Function Xiaowen Li 1,2,3, Keke Wu 1,2,3, Sen Zeng 1,2,3, Feifan Zhao 1,2,3, Jindai Fan 1,2,3, Zhaoyao Li 1,2,3, Lin Yi 1,2,3, Hongxing Ding 1,2,3, Mingqiu Zhao 1,2,3, Shuangqi Fan 1,2,3,* and Jinding Chen 1,2,3,* 1 College of Veterinary Medicine, South China Agricultural University, No. 483 Wushan Road, Tianhe District, Guangzhou 510642, China; [email protected] (X.L.); [email protected] (K.W.); [email protected] (S.Z.); [email protected] (F.Z.); [email protected] (J.F.); [email protected] (Z.L.); [email protected] (L.Y.); [email protected] (H.D.); [email protected] (M.Z.) 2 Guangdong Laboratory for Lingnan Modern Agriculture, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China 3 Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, Guangzhou 510642, China * Correspondence: [email protected] (S.F.); [email protected] (J.C.); Tel.: +86-20-8528-8017 (S.F.); +86-20-8528-8017 (J.C.) Abstract: Mitochondria are important organelles involved in metabolism and programmed cell death in eukaryotic cells. In addition, mitochondria are also closely related to the innate immunity of host cells against viruses. The abnormality of mitochondrial morphology and function might lead to a variety of diseases. A large number of studies have found that a variety of viral infec- tions could change mitochondrial dynamics, mediate mitochondria-induced cell death, and alter the mitochondrial metabolic status and cellular innate immune response to maintain intracellular survival.