1 Copper-Mediated Thiol Potentiation and Mutagenesis-Guided Modeling Suggest a Highly Conserved Copper Binding Motif in Human OR
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Database Tool the Systematic Annotation of the Three Main GPCR
Database, Vol. 2010, Article ID baq018, doi:10.1093/database/baq018 ............................................................................................................................................................................................................................................................................................. Database tool The systematic annotation of the three main Downloaded from https://academic.oup.com/database/article-abstract/doi/10.1093/database/baq018/406672 by guest on 15 January 2019 GPCR families in Reactome Bijay Jassal1, Steven Jupe1, Michael Caudy2, Ewan Birney1, Lincoln Stein2, Henning Hermjakob1 and Peter D’Eustachio3,* 1European Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD, UK, 2Ontario Institute for Cancer Research, Toronto, ON M5G 0A3, Canada and 3New York University School of Medicine, New York, NY 10016, USA *Corresponding author: Tel: +212 263 5779; Fax: +212 263 8166; Email: [email protected] Submitted 14 April 2010; Revised 14 June 2010; Accepted 13 July 2010 ............................................................................................................................................................................................................................................................................................. Reactome is an open-source, freely available database of human biological pathways and processes. A major goal of our work is to provide an integrated view of cellular signalling processes that spans from ligand–receptor -
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. -
Copy Number Variation in Fetal Alcohol Spectrum Disorder
Biochemistry and Cell Biology Copy number variation in fetal alcohol spectrum disorder Journal: Biochemistry and Cell Biology Manuscript ID bcb-2017-0241.R1 Manuscript Type: Article Date Submitted by the Author: 09-Nov-2017 Complete List of Authors: Zarrei, Mehdi; The Centre for Applied Genomics Hicks, Geoffrey G.; University of Manitoba College of Medicine, Regenerative Medicine Reynolds, James N.; Queen's University School of Medicine, Biomedical and Molecular SciencesDraft Thiruvahindrapuram, Bhooma; The Centre for Applied Genomics Engchuan, Worrawat; Hospital for Sick Children SickKids Learning Institute Pind, Molly; University of Manitoba College of Medicine, Regenerative Medicine Lamoureux, Sylvia; The Centre for Applied Genomics Wei, John; The Centre for Applied Genomics Wang, Zhouzhi; The Centre for Applied Genomics Marshall, Christian R.; The Centre for Applied Genomics Wintle, Richard; The Centre for Applied Genomics Chudley, Albert; University of Manitoba Scherer, Stephen W.; The Centre for Applied Genomics Is the invited manuscript for consideration in a Special Fetal Alcohol Spectrum Disorder Issue? : Keyword: Fetal alcohol spectrum disorder, FASD, copy number variations, CNV https://mc06.manuscriptcentral.com/bcb-pubs Page 1 of 354 Biochemistry and Cell Biology 1 Copy number variation in fetal alcohol spectrum disorder 2 Mehdi Zarrei,a Geoffrey G. Hicks,b James N. Reynolds,c,d Bhooma Thiruvahindrapuram,a 3 Worrawat Engchuan,a Molly Pind,b Sylvia Lamoureux,a John Wei,a Zhouzhi Wang,a Christian R. 4 Marshall,a Richard F. Wintle,a Albert E. Chudleye,f and Stephen W. Scherer,a,g 5 aThe Centre for Applied Genomics and Program in Genetics and Genome Biology, The Hospital 6 for Sick Children, Toronto, Ontario, Canada 7 bRegenerative Medicine Program, University of Manitoba, Winnipeg, Canada 8 cCentre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada. -
Whole Exome Sequencing in Families at High Risk for Hodgkin Lymphoma: Identification of a Predisposing Mutation in the KDR Gene
Hodgkin Lymphoma SUPPLEMENTARY APPENDIX Whole exome sequencing in families at high risk for Hodgkin lymphoma: identification of a predisposing mutation in the KDR gene Melissa Rotunno, 1 Mary L. McMaster, 1 Joseph Boland, 2 Sara Bass, 2 Xijun Zhang, 2 Laurie Burdett, 2 Belynda Hicks, 2 Sarangan Ravichandran, 3 Brian T. Luke, 3 Meredith Yeager, 2 Laura Fontaine, 4 Paula L. Hyland, 1 Alisa M. Goldstein, 1 NCI DCEG Cancer Sequencing Working Group, NCI DCEG Cancer Genomics Research Laboratory, Stephen J. Chanock, 5 Neil E. Caporaso, 1 Margaret A. Tucker, 6 and Lynn R. Goldin 1 1Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 2Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 3Ad - vanced Biomedical Computing Center, Leidos Biomedical Research Inc.; Frederick National Laboratory for Cancer Research, Frederick, MD; 4Westat, Inc., Rockville MD; 5Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; and 6Human Genetics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA ©2016 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol.2015.135475 Received: August 19, 2015. Accepted: January 7, 2016. Pre-published: June 13, 2016. Correspondence: [email protected] Supplemental Author Information: NCI DCEG Cancer Sequencing Working Group: Mark H. Greene, Allan Hildesheim, Nan Hu, Maria Theresa Landi, Jennifer Loud, Phuong Mai, Lisa Mirabello, Lindsay Morton, Dilys Parry, Anand Pathak, Douglas R. Stewart, Philip R. Taylor, Geoffrey S. Tobias, Xiaohong R. Yang, Guoqin Yu NCI DCEG Cancer Genomics Research Laboratory: Salma Chowdhury, Michael Cullen, Casey Dagnall, Herbert Higson, Amy A. -
The Odorant Receptor OR2W3 on Airway Smooth Muscle Evokes Bronchodilation Via a Cooperative Chemosensory Tradeoff Between TMEM16A and CFTR
The odorant receptor OR2W3 on airway smooth muscle evokes bronchodilation via a cooperative chemosensory tradeoff between TMEM16A and CFTR Jessie Huanga,1,2, Hong Lama,1, Cynthia Koziol-Whiteb,c, Nathachit Limjunyawongd, Donghwa Kime, Nicholas Kimb, Nikhil Karmacharyac, Premraj Rajkumarf, Danielle Firera, Nicholas M. Dalesiog, Joseph Judec, Richard C. Kurtenh, Jennifer L. Pluznickf, Deepak A. Deshpandei, Raymond B. Penni, Stephen B. Liggette,j, Reynold A. Panettieri Jrc, Xinzhong Dongd,k, and Steven S. Anb,c,2 aDepartment of Environmental Health and Engineering, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205; bDepartment of Pharmacology, Rutgers-Robert Wood Johnson Medical School, The State University of New Jersey, Piscataway, NJ 08854; cRutgers Institute for Translational Medicine and Science, New Brunswick, NJ 08901; dSolomon H. Snyder Department of Neuroscience, The Johns Hopkins University School of Medicine, Baltimore, MD 21205; eCenter for Personalized Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL 33612; fDepartment of Physiology, The Johns Hopkins University School of Medicine, Baltimore, MD 21205; gDepartment of Anesthesiology and Critical Care Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD 21205; hDepartment of Physiology and Biophysics, University of Arkansas for Medical Sciences, Little Rock, AR 72205; iDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Center for Translational Medicine, Jane and Leonard Korman -
Predicting Human Olfactory Perception from Activities of Odorant Receptors
iScience ll OPEN ACCESS Article Predicting Human Olfactory Perception from Activities of Odorant Receptors Joel Kowalewski, Anandasankar Ray [email protected] odor perception HIGHLIGHTS Machine learning predicted activity of 34 human ORs for ~0.5 million chemicals chemical structure Activities of human ORs predicts OR activity could predict odor character using machine learning Few OR activities were needed to optimize r predictions of each odor e t c percept a AI r a odorant activates mul- h Behavior predictions in c Drosophila also need few r tiple ORs o olfactory receptor d o activities ts ic ed pr ity tiv ac OR Kowalewski & Ray, iScience 23, 101361 August 21, 2020 ª 2020 The Author(s). https://doi.org/10.1016/ j.isci.2020.101361 iScience ll OPEN ACCESS Article Predicting Human Olfactory Perception from Activities of Odorant Receptors Joel Kowalewski1 and Anandasankar Ray1,2,3,* SUMMARY Odor perception in humans is initiated by activation of odorant receptors (ORs) in the nose. However, the ORs linked to specific olfactory percepts are unknown, unlike in vision or taste where receptors are linked to perception of different colors and tastes. The large family of ORs (~400) and multiple receptors activated by an odorant present serious challenges. Here, we first use machine learning to screen ~0.5 million compounds for new ligands and identify enriched structural motifs for ligands of 34 human ORs. We next demonstrate that the activity of ORs successfully predicts many of the 146 different perceptual qualities of chem- icals. Although chemical features have been used to model odor percepts, we show that biologically relevant OR activity is often superior. -
Molecular Correlates of Metastasis by Systematic Pan-Cancer Analysis Across the Cancer Genome Atlas
Author Manuscript Published OnlineFirst on November 6, 2018; DOI: 10.1158/1541-7786.MCR-18-0601 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Molecular correlates of metastasis by systematic pan-cancer analysis across The Cancer Genome Atlas Fengju Chen1*, Yiqun Zhang1*, Sooryanarayana Varambally2,3, Chad J. Creighton1,4,5,6 1. Dan L. Duncan Comprehensive Cancer Center Division of Biostatistics, Baylor College of Medicine, Houston, TX, USA. 2. Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL 35233, USA 3. Molecular and Cellular Pathology, Department of Pathology, University of Alabama at Birmingham, Birmingham, AL 35233, USA 4. Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA 5. Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA 6. Department of Medicine, Baylor College of Medicine, Houston, TX, USA * co-first authors Running title: Pan-cancer metastasis correlates Abbreviations: TCGA, The Cancer Genome Atlas; RNA-seq, RNA sequencing; RPPA, reverse- phase protein arrays Correspondence to: Chad J. Creighton ([email protected]) One Baylor Plaza, MS305 Houston, TX 77030 Disclosure of potential conflicts of interest: The authors have no conflicts of interest. 1 Downloaded from mcr.aacrjournals.org on September 28, 2021. © 2018 American Association for Cancer Research. Author Manuscript Published OnlineFirst on November 6, 2018; DOI: 10.1158/1541-7786.MCR-18-0601 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Abstract Tumor metastasis is a major contributor to cancer patient mortality, but the process remains poorly understood. -
Sean Raspet – Molecules
1. Commercial name: Fructaplex© IUPAC Name: 2-(3,3-dimethylcyclohexyl)-2,5,5-trimethyl-1,3-dioxane SMILES: CC1(C)CCCC(C1)C2(C)OCC(C)(C)CO2 Molecular weight: 240.39 g/mol Volume (cubic Angstroems): 258.88 Atoms number (non-hydrogen): 17 miLogP: 4.43 Structure: Biological Properties: Predicted Druglikenessi: GPCR ligand -0.23 Ion channel modulator -0.03 Kinase inhibitor -0.6 Nuclear receptor ligand 0.15 Protease inhibitor -0.28 Enzyme inhibitor 0.15 Commercial name: Fructaplex© IUPAC Name: 2-(3,3-dimethylcyclohexyl)-2,5,5-trimethyl-1,3-dioxane SMILES: CC1(C)CCCC(C1)C2(C)OCC(C)(C)CO2 Predicted Olfactory Receptor Activityii: OR2L13 83.715% OR1G1 82.761% OR10J5 80.569% OR2W1 78.180% OR7A2 77.696% 2. Commercial name: Sylvoxime© IUPAC Name: N-[4-(1-ethoxyethenyl)-3,3,5,5tetramethylcyclohexylidene]hydroxylamine SMILES: CCOC(=C)C1C(C)(C)CC(CC1(C)C)=NO Molecular weight: 239.36 Volume (cubic Angstroems): 252.83 Atoms number (non-hydrogen): 17 miLogP: 4.33 Structure: Biological Properties: Predicted Druglikeness: GPCR ligand -0.6 Ion channel modulator -0.41 Kinase inhibitor -0.93 Nuclear receptor ligand -0.17 Protease inhibitor -0.39 Enzyme inhibitor 0.01 Commercial name: Sylvoxime© IUPAC Name: N-[4-(1-ethoxyethenyl)-3,3,5,5tetramethylcyclohexylidene]hydroxylamine SMILES: CCOC(=C)C1C(C)(C)CC(CC1(C)C)=NO Predicted Olfactory Receptor Activity: OR52D1 71.900% OR1G1 70.394% 0R52I2 70.392% OR52I1 70.390% OR2Y1 70.378% 3. Commercial name: Hyperflor© IUPAC Name: 2-benzyl-1,3-dioxan-5-one SMILES: O=C1COC(CC2=CC=CC=C2)OC1 Molecular weight: 192.21 g/mol Volume -
Prognostic Classifier Based on Genome-Wide DNA Methylation Profiling in Well-Differentiated Thyroid Tumors
CLINICAL RESEARCH ARTICLE Downloaded from https://academic.oup.com/jcem/article-abstract/102/11/4089/4082866 by Universidade Estadual Paulista J�lio de Mesquita Filho user on 06 May 2019 Prognostic Classifier Based on Genome-Wide DNA Methylation Profiling in Well-Differentiated Thyroid Tumors Mariana Bisarro dos Reis,1,2* Mateus Camargo Barros-Filho,1* F´abio Albuquerque Marchi,1 Caroline Moraes Beltrami,1 Hellen Kuasne,1 Clovis ´ Antonioˆ Lopes Pinto,3 Srikant Ambatipudi,4,5 Zdenko Herceg,4 Luiz Paulo Kowalski,6 and Silvia Regina Rogatto2,7 1International Research Center, CIPE, A.C. Camargo Cancer Center and National Institute of Science and Technology in Oncogenomics, S~ao Paulo 01509-010, SP, Brazil; 2Department of Urology, Faculty of Medicine, UNESP, S~ao Paulo State University, Botucatu 18618-970, SP, Brazil; 3Department of Pathology, A.C. Camargo Cancer Center, S~ao Paulo 01509-010, SP, Brazil; 4Epigenetics Group; International Agency for Research on Cancer (IARC), Lyon 69372, France; 5MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 1TH, United Kingdom; 6Department of Head and Neck Surgery and Otorhinolaryngology, A.C. Camargo Cancer Center, S~ao Paulo 01509-010, SP, Brazil; and 7Department of Clinical Genetics, Vejle Hospital and Institute of Regional Health Research, University of Southern Denmark, Vejle, 7100, Denmark Context: Even though the majority of well-differentiated thyroid carcinoma (WDTC) is indolent, a number of cases display an aggressive behavior. Cumulative evidence suggests that the deregulation of DNA methylation has the potential to point out molecular markers associated with worse prognosis. Objective: To identify a prognostic epigenetic signature in thyroid cancer. -
OR2T2 (NM 001004136) Human Untagged Clone – SC300610
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for SC300610 OR2T2 (NM_001004136) Human Untagged Clone Product data: Product Type: Expression Plasmids Product Name: OR2T2 (NM_001004136) Human Untagged Clone Tag: Tag Free Symbol: OR2T2 Synonyms: OR1-43; OR2T2P Vector: pCMV6-Entry (PS100001) E. coli Selection: Kanamycin (25 ug/mL) Cell Selection: Neomycin Fully Sequenced ORF: >NCBI ORF sequence for NM_001004136, the custom clone sequence may differ by one or more nucleotides ATGGGCATGGAGGGTCTTCTCCAGAACTCCACTAACTTCGTCCTCACAGGCCTCATCACCCATCCTGCCT TCCCCGGGCTTCTCTTTGCAATAGTCTTCTCCATCTTTGTGGTGGCTATAACAGCCAACTTGGTCATGAT TCTGCTCATCCACATGGACTCCCGCCTCCACACACCCATGTACTTCTTGCTCAGCCAGCTCTCCATCATG GATACCATCTACATCTGTATCACTGTCCCCAAGATGCTCCAGGACCTCCTGTCCAAGGACAAGACCATTT CCTTCCTGGGCTGTGCAGTTCAGATCTTCCTCTACCTGACCCTGATTGGAGGGGAATTCTTCCTGCTGGG TCTCATGGCCTATGACCGCTATGTGGCTGTGTGCAACCCTCTACGGTACCCTCTCCTCATGAACCGCAGG GTTTGCTTATTCATGGTGGTCGGCTCCTGGGTTGGTGGTTCCTTGGATGGGTTCATGCTGACTCCTGTCA CTATGAGTTTCCCCTTCTGTAGATCCCGAGAGATCAATCACTTTTTCTGTGAGATCCCAGCCGTGCTGAA GTTGTCTTGCACAGACACGTCACTCTATGAGACCCTGATGTATGCCTGCTGCGTGCTGATGCTGCTTATC CCTCTATCTGTCATCTCTGTCTCCTACACGCACATCCTCCTGACTGTCCACAGGATGAACTCTGCTGAGG GCCGGCGCAAAGCCTTTGCTACGTGTTCCTCCCACATTATGGTGGTGAGCGTTTTCTACGGGGCAGCCTT CTACACCAACGTGCTGCCCCACTCCTACCACACTCCAGAGAAAGATAAAGTGGTGTCTGCCTTCTACACC ATCCTCACCCCCATGCTCAACCCACTCATCTACAGCTTGAGGAATAAAGATGTGGCTGCAGCTCTGAGGA AAGTACTAGGGAGATGTGGTTCCTCCCAGAGCATCAGGGTGGCGACTGTGATCAGGAAGGGCTAG -
Functional and Structural Characterization of Olfactory Receptors in Human Heart and Eye
DISSERTATION to obtain the degree Doctor Rerum Naturalium (Dr.rer.nat.) at the Faculty of Biology and Biotechnology International Graduate School Biosciences Ruhr-University Bochum Functional and structural characterization of olfactory receptors in human heart and eye Department of Cellphysiology submitted by Nikolina Jovancevic from Zadar, Croatia Bochum February 2016 First Referee: Prof. Dr. Dr. Dr. Hanns Hatt Second Referee: Prof. Dr. Stefan Wiese DISSERTATION zur Erlangung des Grades eines Doktors der Naturwissenschaften der Fakultät für Biologie und Biotechnologie an der Internationalen Graduiertenschule Biowissenschaften der Ruhr-Universität Bochum Funktionale und strukturelle Charakterisierung olfaktorischer Rezeptoren im humanen Herzen und Auge Lehrstuhl für Zellphysiologie vorgelegt von Nikolina Jovancevic aus Zadar, Kroatien Bochum Februar 2016 Referent: Prof. Dr. Dr. Dr. Hanns Hatt Korreferent: Prof. Dr. Stefan Wiese To my family TABLE OF CONTENTS TABEL OF CONTENT 1 INTRODUCTION 1 1.1 G protein-coupled receptors 1 1.1.1 General 1 1.1.2 Structure and classification 2 1.1.3 Olfactory Receptors 4 1.2 Function of olfactory receptors 9 1.2.1 The olfactory system 9 1.2.2 Ectopic expression of olfactory receptors 11 1.3 Excursus: Anatomy and physiology of the heart 13 1.3.1 Anatomy of the heart and blood circuit 14 1.3.2 The cardiac conduction system 15 1.3.3 Excitation-contraction coupling 16 1.3.4 Cardiac GPCRs: Modulation of cardiac contraction 17 1.4 Excursus: Anatomy and physiology of the eye 18 1.4.1 Anatomy of the retina 19 -
9-Marie-Francoise Ritz MS
Send Orders for Reprints to [email protected] 478 Current Neurovascular Research, 2019, 16, 478-490 RESEARCH ARTICLE Combined Transcriptomic and Proteomic Analyses of Cerebral Frontal Lobe Tissue Identified RNA Metabolism Dysregulation as One Potential Pathogenic Mechanism in Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL) Marie-Françoise Ritz1,*, Paul Jenoe2, Leo Bonati3, Stefan Engelter3,4, Philippe Lyrer3 and Nils Peters3,4 1Department of Biomedicine, Brain Tumor Biology Laboratory, University of Basel, and University Hospital of Basel, Hebelstrasse 20, 4031 Basel, Switzerland; 2Proteomics Core Facility, Biocenter, University of Basel, Klingelbergstrasse 50/70, 4056 Basel, Switzerland; 3Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland; 4Neurorehabilitation Unit, University of Basel and University Center for Medicine of Aging, Felix Platter Hospital, Burgfelderstrasse 101, 4055 Basel, Switzerland Abstract: Background: Cerebral small vessel disease (SVD) is an important cause of stroke and vascular cognitive impairment (VCI), leading to subcortical ischemic vascular dementia. As a he- reditary form of SVD with early onset, cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) represents a pure form of SVD and may thus serve as a model disease for SVD. To date, underlying molecular mechanisms linking vascular pathol- ogy and subsequent neuronal damage in SVD are incompletely understood. A R T I C L E H I S T O R Y Objective: We performed comparative transcriptional profiling microarray and proteomic analyses Received: October 01, 2019 on post-mortem frontal lobe specimen from 2 CADASIL patients and 5 non neurologically dis- Revised: October 11, 2019 Accepted: October 15, 2019 eased controls in order to identify dysregulated pathways potentially involved in the development DOI: of tissue damage in CADASIL.