Modulating Glial Genes Involved in Synaptic Function Mitigates Pathogenesis and Behavioral Deficits in a Drosophila Model Of
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Analysis and Identification of Bite Marks in Forensic Casework
ORIGINAL | http://dx.doi.org/10.4172/1994-8220.1000102 J Psychiatry 2014;17:475-482 Handedness in schizophrenia and schizoaffective disorder in an afrikaner founder population RH Mataboge¹*, M Joubert¹, JC Jordaan², F Reyneke2, JL Roos1 ¹University of Pretoria, Department of Psychiatry, Pretoria, South Africa ²University of Pretoria, Department of Statistics, Pretoria, South Africa Abstract Objective: An association between the Leucine-rich repeat trans membrane neuronal 1 gene (LRRTM1), schizophrenia/ schizoaffective disorder and handedness was recently claimed to be established. This study aimed to test the hypothesis that Afrikaner patients with schizophrenia/schizoaffective disorder are more non-right handed than their non-affected first- degree relatives and that of two separate control groups. The association between handedness, gender and age at onset of illness in the patients group was also determined. Method: Two cross-sectional studies were carried out, which compared the handedness of a group of 100 (30 females and 70 males) Afrikaner patients with schizophrenia/schizoaffective disorder, their non-affected first-degree relatives, and two separate control groups. Handedness was determined by the Edinburg Handedness Inventory (EHI). Results: Patients were found to be more right-handed than expected with only 17 out of 100 being non-right-handed compared to 11 out of 100 non-affected relatives; 36 out of 100 students and 75 out of 500 non- affected Afrikaner participants. The students were significantly more non-right handed than the patient and family groups but no difference in handedness was found when comparing the patients, family members and 500 participant control group. There was no significant difference between age at onset of illness and handedness. -
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. -
The Hands to Say It
Issue 91, February 2008 www.proteinspotlight.org The hands to say it Vivienne Baillie Gerritsen When I was a little girl, I thought that my left-handed classmates were special. I envied their difference. And I used to marvel at the way they crouched over their desk, embracing something invisible as they did their best to avoid smudging ink all over their sheet of paper. Left-handedness is special. But so is right-handedness. Humans are not the only animals to make use of their hands – or claws, or paws, or hooves - but they are the only ones who show a marked preference for either the left one, or the right one. If this is so, there must be a reason for it. And not only must there be a reason but it must translate a certain structure of our brain: an asymmetry somewhere. Indeed, our brain is divided into two hemispheres which are dedicated to processing different activities. One side looks after our dreams, while the other is far more down to earth. LRRTM1 is the first protein to have been discovered which seems to be directly involved in this brain asymmetry. Consequently, it influences the handedness of a human-being and, more astonishingly, may also predispose individuals to psychotic troubles such as schizophrenia. don’t have a distinct preference for one hand over the other. The passing of roles from hand to mind expresses a particular brain structure. In turn, the progressive use of speech has continued to mould our brain into a shape peculiar to the human species. -
Supplementary Table 1. Pain and PTSS Associated Genes (N = 604
Supplementary Table 1. Pain and PTSS associated genes (n = 604) compiled from three established pain gene databases (PainNetworks,[61] Algynomics,[52] and PainGenes[42]) and one PTSS gene database (PTSDgene[88]). These genes were used in in silico analyses aimed at identifying miRNA that are predicted to preferentially target this list genes vs. a random set of genes (of the same length). ABCC4 ACE2 ACHE ACPP ACSL1 ADAM11 ADAMTS5 ADCY5 ADCYAP1 ADCYAP1R1 ADM ADORA2A ADORA2B ADRA1A ADRA1B ADRA1D ADRA2A ADRA2C ADRB1 ADRB2 ADRB3 ADRBK1 ADRBK2 AGTR2 ALOX12 ANO1 ANO3 APOE APP AQP1 AQP4 ARL5B ARRB1 ARRB2 ASIC1 ASIC2 ATF1 ATF3 ATF6B ATP1A1 ATP1B3 ATP2B1 ATP6V1A ATP6V1B2 ATP6V1G2 AVPR1A AVPR2 BACE1 BAMBI BDKRB2 BDNF BHLHE22 BTG2 CA8 CACNA1A CACNA1B CACNA1C CACNA1E CACNA1G CACNA1H CACNA2D1 CACNA2D2 CACNA2D3 CACNB3 CACNG2 CALB1 CALCRL CALM2 CAMK2A CAMK2B CAMK4 CAT CCK CCKAR CCKBR CCL2 CCL3 CCL4 CCR1 CCR7 CD274 CD38 CD4 CD40 CDH11 CDK5 CDK5R1 CDKN1A CHRM1 CHRM2 CHRM3 CHRM5 CHRNA5 CHRNA7 CHRNB2 CHRNB4 CHUK CLCN6 CLOCK CNGA3 CNR1 COL11A2 COL9A1 COMT COQ10A CPN1 CPS1 CREB1 CRH CRHBP CRHR1 CRHR2 CRIP2 CRYAA CSF2 CSF2RB CSK CSMD1 CSNK1A1 CSNK1E CTSB CTSS CX3CL1 CXCL5 CXCR3 CXCR4 CYBB CYP19A1 CYP2D6 CYP3A4 DAB1 DAO DBH DBI DICER1 DISC1 DLG2 DLG4 DPCR1 DPP4 DRD1 DRD2 DRD3 DRD4 DRGX DTNBP1 DUSP6 ECE2 EDN1 EDNRA EDNRB EFNB1 EFNB2 EGF EGFR EGR1 EGR3 ENPP2 EPB41L2 EPHB1 EPHB2 EPHB3 EPHB4 EPHB6 EPHX2 ERBB2 ERBB4 EREG ESR1 ESR2 ETV1 EZR F2R F2RL1 F2RL2 FAAH FAM19A4 FGF2 FKBP5 FLOT1 FMR1 FOS FOSB FOSL2 FOXN1 FRMPD4 FSTL1 FYN GABARAPL1 GABBR1 GABBR2 GABRA2 GABRA4 -
Supplementary Materials
Supplementary materials Supplementary Table S1: MGNC compound library Ingredien Molecule Caco- Mol ID MW AlogP OB (%) BBB DL FASA- HL t Name Name 2 shengdi MOL012254 campesterol 400.8 7.63 37.58 1.34 0.98 0.7 0.21 20.2 shengdi MOL000519 coniferin 314.4 3.16 31.11 0.42 -0.2 0.3 0.27 74.6 beta- shengdi MOL000359 414.8 8.08 36.91 1.32 0.99 0.8 0.23 20.2 sitosterol pachymic shengdi MOL000289 528.9 6.54 33.63 0.1 -0.6 0.8 0 9.27 acid Poricoic acid shengdi MOL000291 484.7 5.64 30.52 -0.08 -0.9 0.8 0 8.67 B Chrysanthem shengdi MOL004492 585 8.24 38.72 0.51 -1 0.6 0.3 17.5 axanthin 20- shengdi MOL011455 Hexadecano 418.6 1.91 32.7 -0.24 -0.4 0.7 0.29 104 ylingenol huanglian MOL001454 berberine 336.4 3.45 36.86 1.24 0.57 0.8 0.19 6.57 huanglian MOL013352 Obacunone 454.6 2.68 43.29 0.01 -0.4 0.8 0.31 -13 huanglian MOL002894 berberrubine 322.4 3.2 35.74 1.07 0.17 0.7 0.24 6.46 huanglian MOL002897 epiberberine 336.4 3.45 43.09 1.17 0.4 0.8 0.19 6.1 huanglian MOL002903 (R)-Canadine 339.4 3.4 55.37 1.04 0.57 0.8 0.2 6.41 huanglian MOL002904 Berlambine 351.4 2.49 36.68 0.97 0.17 0.8 0.28 7.33 Corchorosid huanglian MOL002907 404.6 1.34 105 -0.91 -1.3 0.8 0.29 6.68 e A_qt Magnogrand huanglian MOL000622 266.4 1.18 63.71 0.02 -0.2 0.2 0.3 3.17 iolide huanglian MOL000762 Palmidin A 510.5 4.52 35.36 -0.38 -1.5 0.7 0.39 33.2 huanglian MOL000785 palmatine 352.4 3.65 64.6 1.33 0.37 0.7 0.13 2.25 huanglian MOL000098 quercetin 302.3 1.5 46.43 0.05 -0.8 0.3 0.38 14.4 huanglian MOL001458 coptisine 320.3 3.25 30.67 1.21 0.32 0.9 0.26 9.33 huanglian MOL002668 Worenine -
Endogenous Sirnas and Noncoding RNA-Derived Small Rnas Are Expressed in Adult Mouse Hippocampus and Are Up-Regulated in Olfactory Discrimination Training
Downloaded from rnajournal.cshlp.org on September 27, 2021 - Published by Cold Spring Harbor Laboratory Press Endogenous siRNAs and noncoding RNA-derived small RNAs are expressed in adult mouse hippocampus and are up-regulated in olfactory discrimination training NEIL R. SMALHEISER,1 GIOVANNI LUGLI,1 JYOTHI THIMMAPURAM,2 EDWIN H. COOK,1 and JOHN LARSON1 1Department of Psychiatry, University of Illinois at Chicago, Chicago, Illinois 60612, USA 2W.M. Keck Center for Comparative and Functional Genomics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA ABSTRACT We previously proposed that endogenous siRNAs may regulate synaptic plasticity and long-term gene expression in the mammalian brain. Here, a hippocampal-dependent task was employed in which adult mice were trained to execute a nose-poke in a port containing one of two simultaneously present odors in order to obtain a reward. Mice demonstrating olfactory discrimination training were compared to pseudo-training and nose-poke control groups; size-selected hippocampal RNA was subjected to Illumina deep sequencing. Sequences that aligned uniquely and exactly to the genome without uncertain nucleotide assignments, within exons or introns of MGI annotated genes, were examined further. The data confirm that small RNAs having features of endogenous siRNAs are expressed in brain; that many of them derive from genes that regulate synaptic plasticity (and have been implicated in neuropsychiatric diseases); and that hairpin-derived endo-siRNAs and the 20- to 23-nt size class of small RNAs show a significant increase during an early stage of training. The most abundant putative siRNAs arose from an intronic inverted repeat within the SynGAP1 locus; this inverted repeat was a substrate for dicer in vitro, and SynGAP1 siRNA was specifically associated with Argonaute proteins in vivo. -
A Large-Scale Estimate on the Relationship Between Language And
www.nature.com/scientificreports OPEN A large‑scale estimate on the relationship between language and motor lateralization Julian Packheiser1*, Judith Schmitz2, Larissa Arning3, Christian Beste4, Onur Güntürkün1 & Sebastian Ocklenburg1,5 Human language is dominantly processed in the left cerebral hemisphere in most of the population. While several studies have suggested that there are higher rates of atypical right‑hemispheric language lateralization in left‑/mixed‑handers, an accurate estimate of this association from a large sample is still missing. In this study, we comprised data from 1,554 individuals sampled in three previous studies in which language lateralization measured via dichotic listening, handedness and footedness were assessed. Overall, we found a right ear advantage indicating typical left‑hemispheric language lateralization in 82.1% of the participants. While we found signifcantly more left‑handed individuals with atypical language lateralization on the categorical level, we only detected a very weak positive correlation between dichotic listening lateralization quotients (LQs) and handedness LQs using continuous measures. Here, only 0.4% of the variance in language lateralization were explained by handedness. We complemented these analyses with Bayesian statistics and found no evidence in favor of the hypothesis that language lateralization and handedness are related. Footedness LQs were not correlated with dichotic listening LQs, but individuals with atypical language lateralization also exhibited higher rates of atypical footedness on the categorical level. We also found diferences in the extent of language lateralization between males and females with males exhibiting higher dichotic listening LQs indicating more left‑hemispheric language processing. Overall, these fndings indicate that the direct associations between language lateralization and motor asymmetries are much weaker than previously assumed with Bayesian correlation analyses even suggesting that they do not exist at all. -
Downregulation of Glial Genes Involved in Synaptic Function
RESEARCH ARTICLE Downregulation of glial genes involved in synaptic function mitigates Huntington’s disease pathogenesis Tarik Seref Onur1,2,3†, Andrew Laitman2,4,5†, He Zhao2, Ryan Keyho2, Hyemin Kim2, Jennifer Wang2, Megan Mair1,2,3, Huilan Wang6, Lifang Li1,2, Alma Perez2, Maria de Haro1,2, Ying-Wooi Wan2, Genevera Allen2,7, Boxun Lu6, Ismael Al-Ramahi1,2, Zhandong Liu2,4,5, Juan Botas1,2,3,4* 1Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, United States; 2Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital, Houston, United States; 3Genetics & Genomics Graduate Program, Baylor College of Medicine, Houston, United States; 4Quantitative & Computational Biosciences, Baylor College of Medicine, Houston, United States; 5Department of Pediatrics, Baylor College of Medicine, Houston, United States; 6State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China; 7Departments of Electrical & Computer Engineering, Statistics and Computer Science, Rice University, Houston, United States Abstract Most research on neurodegenerative diseases has focused on neurons, yet glia help form and maintain the synapses whose loss is so prominent in these conditions. To investigate the contributions of glia to Huntington’s disease (HD), we profiled the gene expression alterations of *For correspondence: Drosophila expressing human mutant Huntingtin (mHTT) in either glia or neurons and compared [email protected] these changes to what is observed in HD human and HD mice striata. A large portion of conserved genes are concordantly dysregulated across the three species; we tested these genes in a high- †These authors contributed throughput behavioral assay and found that downregulation of genes involved in synapse assembly equally to this work mitigated pathogenesis and behavioral deficits. -
In This Table Protein Name, Uniprot Code, Gene Name P-Value
Supplementary Table S1: In this table protein name, uniprot code, gene name p-value and Fold change (FC) for each comparison are shown, for 299 of the 301 significantly regulated proteins found in both comparisons (p-value<0.01, fold change (FC) >+/-0.37) ALS versus control and FTLD-U versus control. Two uncharacterized proteins have been excluded from this list Protein name Uniprot Gene name p value FC FTLD-U p value FC ALS FTLD-U ALS Cytochrome b-c1 complex P14927 UQCRB 1.534E-03 -1.591E+00 6.005E-04 -1.639E+00 subunit 7 NADH dehydrogenase O95182 NDUFA7 4.127E-04 -9.471E-01 3.467E-05 -1.643E+00 [ubiquinone] 1 alpha subcomplex subunit 7 NADH dehydrogenase O43678 NDUFA2 3.230E-04 -9.145E-01 2.113E-04 -1.450E+00 [ubiquinone] 1 alpha subcomplex subunit 2 NADH dehydrogenase O43920 NDUFS5 1.769E-04 -8.829E-01 3.235E-05 -1.007E+00 [ubiquinone] iron-sulfur protein 5 ARF GTPase-activating A0A0C4DGN6 GIT1 1.306E-03 -8.810E-01 1.115E-03 -7.228E-01 protein GIT1 Methylglutaconyl-CoA Q13825 AUH 6.097E-04 -7.666E-01 5.619E-06 -1.178E+00 hydratase, mitochondrial ADP/ATP translocase 1 P12235 SLC25A4 6.068E-03 -6.095E-01 3.595E-04 -1.011E+00 MIC J3QTA6 CHCHD6 1.090E-04 -5.913E-01 2.124E-03 -5.948E-01 MIC J3QTA6 CHCHD6 1.090E-04 -5.913E-01 2.124E-03 -5.948E-01 Protein kinase C and casein Q9BY11 PACSIN1 3.837E-03 -5.863E-01 3.680E-06 -1.824E+00 kinase substrate in neurons protein 1 Tubulin polymerization- O94811 TPPP 6.466E-03 -5.755E-01 6.943E-06 -1.169E+00 promoting protein MIC C9JRZ6 CHCHD3 2.912E-02 -6.187E-01 2.195E-03 -9.781E-01 Mitochondrial 2- -
Polygenic Scores for Handedness and Their Association with Asymmetries in Brain Structure
Polygenic scores for handedness and their association with asymmetries in brain structure Sebastian Ocklenburg ( [email protected] ) Ruhr-Universitat Bochum https://orcid.org/0000-0001-5882-3200 Dorothea Metzen Ruhr University Bochum: Ruhr-Universitat Bochum Caroline Schlüter Ruhr University Bochum: Ruhr-Universitat Bochum Christoph Fraenz IfADo: Leibniz-Institut fur Arbeitsforschung an der TU Dortmund Larissa Arning Ruhr University Bochum: Ruhr-Universitat Bochum Fabian Streit Central Institute of Mental Health: Zentralinstitut fur Seelische Gesundheit Onur Güntürkün Ruhr University Bochum: Ruhr-Universitat Bochum Robert Kumsta Ruhr University Bochum: Ruhr-Universitat Bochum Erhan Genc IfADo: Leibniz-Institut fur Arbeitsforschung an der TU Dortmund Research Article Keywords: Handedness, laterality, hemispheric asymmetry, polygenic scores, genetics, motor Posted Date: March 23rd, 2021 DOI: https://doi.org/10.21203/rs.3.rs-350445/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Version of Record: A version of this preprint was published at Brain Structure and Function on July 8th, 2021. See the published version at https://doi.org/10.1007/s00429-021-02335-3. Page 1/23 Abstract Handedness is the most widely investigated motor preference in humans. The genetics of handedness and especially the link between genetic variation, brain structure and right-left preference have not been investigated in detail. Recently, several well-powered genome-wide association studies (GWAS) on handedness have been published, signicantly advancing the understanding of the genetic determinants of left- and right-handedness. In the present study, we estimated polygenic scores (PGS) of handedness based on the latest GWAS by de Kovel and Francks (2019) in an independent validation cohort (n = 296). -
Genome-Wide Association Study Identifies 48 Common Genetic Variants Associated with Handedness
bioRxiv preprint doi: https://doi.org/10.1101/831321; this version posted November 18, 2019. 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. Genome-wide association study identifies 48 common genetic variants associated with handedness. Gabriel Cuellar Partida1, Joyce Y Tung2, Nicholas Eriksson2, Eva Albrecht3, Fazil Aliev4, Ole A Andreassen5,6, Inês Barroso7,8,9, Jacques S Beckmann10, Marco P Boks11, Dorret I Boomsma12,13, Heather A Boyd14, Monique MB Breteler15, Harry Campbell16, Daniel I Chasman17,18, Lynn F Cherkas19, Gail Davies20,21, Eco JC de Geus12,13, Ian J Deary20,21, Panos Deloukas22, Danielle M Dick23, David L Duffy24, Johan G Eriksson25,26, Tõnu Esko27,28, Bjarke Feenstra14, Frank Geller14, Christian Gieger29,30, Ina Giegling31, Scott D Gordon24, Jiali Han32,33, Thomas F Hansen34,35, Annette M Hartmann31, Caroline Hayward36, Kauko Heikkilä37, Andrew A Hicks38, Joel N Hirschhorn39,40,41, Jouke-Jan Hottenga12,13, Jennifer E Huffman36, Liang-Dar Hwang1, Mohammad A Ikram42, Jaakko Kaprio43,44, John P Kemp1,45, Kay-Tee Khaw46, Norman Klopp47, Bettina Konte31, Zoltan Kutalik48,49, Jari Lahti50,51, Xin Li32,33, Ruth JF Loos8,52,53, Michelle Luciano20,21, Sigurdur H Magnusson54, Massimo Mangino19, Pedro Marques-Vidal55, Nicholas G Martin24, Wendy L McArdle56, Mark I McCarthy57,58,59†, Carolina Medina-Gomez42,60, Mads Melbye14,61,62, Scott A -
Evidence for a Gene Influencing Haematocrit on Chromosome 6Q23–24: Genomewide Scan in the Framingham Heart Study J-P Lin, C J O’Donnell, D Levy, L a Cupples
75 LETTER TO JMG J Med Genet: first published as 10.1136/jmg.2004.021097 on 5 January 2005. Downloaded from Evidence for a gene influencing haematocrit on chromosome 6q23–24: genomewide scan in the Framingham Heart Study J-P Lin, C J O’Donnell, D Levy, L A Cupples ............................................................................................................................... J Med Genet 2005;42:75–79. doi: 10.1136/jmg.2004.021097 or more than 40 years, a number of studies have revealed that high haematocrit (HCT) levels are associated with Key points increased risk for cerebrovascular disease,1–3 cardiovas- F 4–6 7–9 cular disease (CVD), peripheral vascular disease, and all N Elevated haematocrit (HCT) levels are associated with cause mortality.5 10–11 During 34 years of follow up in more increased risk for vascular diseases. We carried out than 5200 individuals, a Framingham investigation demon- genome scans for quantitative trait loci (QTL) on HCT strated that increased HCT was significantly associated with and on haemoglobin (HGB), a correlated trait. increased risks for CVD, coronary heart disease, and N The heritabilities were estimated as 41% for HCT and 5 myocardial infarction in both men and women. A significant 45% for HGB. increase in all cause mortality for individuals with very low or N The genomewide linkage analysis revealed evidence of high HCT was also observed.5 Although HCT levels were related to other vascular risk factors, the risk associated with significant linkage for HCT to chromosome 6q23-24, an elevated HCT persisted after accounting for other risk with a lod score of 3.4 at location 136 cM.