Potential Impact of Mir-137 and Its Targets in Schizophrenia
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Prioritization and Evaluation of Depression Candidate Genes by Combining Multidimensional Data Resources
Prioritization and Evaluation of Depression Candidate Genes by Combining Multidimensional Data Resources Chung-Feng Kao1, Yu-Sheng Fang2, Zhongming Zhao3, Po-Hsiu Kuo1,2,4* 1 Department of Public Health and Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan, 2 Institute of Clinical Medicine, School of Medicine, National Cheng-Kung University, Tainan, Taiwan, 3 Departments of Biomedical Informatics and Psychiatry, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America, 4 Research Center for Genes, Environment and Human Health, National Taiwan University, Taipei, Taiwan Abstract Background: Large scale and individual genetic studies have suggested numerous susceptible genes for depression in the past decade without conclusive results. There is a strong need to review and integrate multi-dimensional data for follow up validation. The present study aimed to apply prioritization procedures to build-up an evidence-based candidate genes dataset for depression. Methods: Depression candidate genes were collected in human and animal studies across various data resources. Each gene was scored according to its magnitude of evidence related to depression and was multiplied by a source-specific weight to form a combined score measure. All genes were evaluated through a prioritization system to obtain an optimal weight matrix to rank their relative importance with depression using the combined scores. The resulting candidate gene list for depression (DEPgenes) was further evaluated by a genome-wide association (GWA) dataset and microarray gene expression in human tissues. Results: A total of 5,055 candidate genes (4,850 genes from human and 387 genes from animal studies with 182 being overlapped) were included from seven data sources. -
Analysis of Gene Expression Data for Gene Ontology
ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION A Thesis Presented to The Graduate Faculty of The University of Akron In Partial Fulfillment of the Requirements for the Degree Master of Science Robert Daniel Macholan May 2011 ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION Robert Daniel Macholan Thesis Approved: Accepted: _______________________________ _______________________________ Advisor Department Chair Dr. Zhong-Hui Duan Dr. Chien-Chung Chan _______________________________ _______________________________ Committee Member Dean of the College Dr. Chien-Chung Chan Dr. Chand K. Midha _______________________________ _______________________________ Committee Member Dean of the Graduate School Dr. Yingcai Xiao Dr. George R. Newkome _______________________________ Date ii ABSTRACT A tremendous increase in genomic data has encouraged biologists to turn to bioinformatics in order to assist in its interpretation and processing. One of the present challenges that need to be overcome in order to understand this data more completely is the development of a reliable method to accurately predict the function of a protein from its genomic information. This study focuses on developing an effective algorithm for protein function prediction. The algorithm is based on proteins that have similar expression patterns. The similarity of the expression data is determined using a novel measure, the slope matrix. The slope matrix introduces a normalized method for the comparison of expression levels throughout a proteome. The algorithm is tested using real microarray gene expression data. Their functions are characterized using gene ontology annotations. The results of the case study indicate the protein function prediction algorithm developed is comparable to the prediction algorithms that are based on the annotations of homologous proteins. -
Hyperactivated Wnt-Β-Catenin Signaling in the Absence of Sfrp1 and Sfrp5 Disrupts Trophoblast Differentiation Through Repressio
Bao et al. BMC Biology (2020) 18:151 https://doi.org/10.1186/s12915-020-00883-4 RESEARCH ARTICLE Open Access Hyperactivated Wnt-β-catenin signaling in the absence of sFRP1 and sFRP5 disrupts trophoblast differentiation through repression of Ascl2 Haili Bao1,2,3†, Dong Liu2†, Yingchun Xu2, Yang Sun2, Change Mu2, Yongqin Yu2, Chunping Wang2, Qian Han2, Sanmei Liu2, Han Cai1,2, Fan Liu2, Shuangbo Kong1,2, Wenbo Deng1,2, Bin Cao1,2, Haibin Wang1,2*, Qiang Wang3,4* and Jinhua Lu1,2* Abstract Background: Wnt signaling is a critical determinant for the maintenance and differentiation of stem/progenitor cells, including trophoblast stem cells during placental development. Hyperactivation of Wnt signaling has been shown to be associated with human trophoblast diseases. However, little is known about the impact and underlying mechanisms of excessive Wnt signaling during placental trophoblast development. Results: In the present work, we observed that two inhibitors of Wnt signaling, secreted frizzled-related proteins 1 and 5 (Sfrp1 and Sfrp5), are highly expressed in the extraembryonic trophoblast suggesting possible roles in early placental development. Sfrp1 and Sfrp5 double knockout mice exhibited disturbed trophoblast differentiation in the placental ectoplacental cone (EPC), which contains the precursors of trophoblast giant cells (TGCs) and spongiotrophoblast cells. In addition, we employed mouse models expressing a truncated β-catenin with exon 3 deletion globally and trophoblast-specifically, as well as trophoblast stem cell lines, and unraveled that hyperactivation of canonical Wnt pathway exhausted the trophoblast precursor cells in the EPC, resulting in the overabundance of giant cells at the expense of spongiotrophoblast cells. -
Supplemental Table 1. Complete Gene Lists and GO Terms from Figure 3C
Supplemental Table 1. Complete gene lists and GO terms from Figure 3C. Path 1 Genes: RP11-34P13.15, RP4-758J18.10, VWA1, CHD5, AZIN2, FOXO6, RP11-403I13.8, ARHGAP30, RGS4, LRRN2, RASSF5, SERTAD4, GJC2, RHOU, REEP1, FOXI3, SH3RF3, COL4A4, ZDHHC23, FGFR3, PPP2R2C, CTD-2031P19.4, RNF182, GRM4, PRR15, DGKI, CHMP4C, CALB1, SPAG1, KLF4, ENG, RET, GDF10, ADAMTS14, SPOCK2, MBL1P, ADAM8, LRP4-AS1, CARNS1, DGAT2, CRYAB, AP000783.1, OPCML, PLEKHG6, GDF3, EMP1, RASSF9, FAM101A, STON2, GREM1, ACTC1, CORO2B, FURIN, WFIKKN1, BAIAP3, TMC5, HS3ST4, ZFHX3, NLRP1, RASD1, CACNG4, EMILIN2, L3MBTL4, KLHL14, HMSD, RP11-849I19.1, SALL3, GADD45B, KANK3, CTC- 526N19.1, ZNF888, MMP9, BMP7, PIK3IP1, MCHR1, SYTL5, CAMK2N1, PINK1, ID3, PTPRU, MANEAL, MCOLN3, LRRC8C, NTNG1, KCNC4, RP11, 430C7.5, C1orf95, ID2-AS1, ID2, GDF7, KCNG3, RGPD8, PSD4, CCDC74B, BMPR2, KAT2B, LINC00693, ZNF654, FILIP1L, SH3TC1, CPEB2, NPFFR2, TRPC3, RP11-752L20.3, FAM198B, TLL1, CDH9, PDZD2, CHSY3, GALNT10, FOXQ1, ATXN1, ID4, COL11A2, CNR1, GTF2IP4, FZD1, PAX5, RP11-35N6.1, UNC5B, NKX1-2, FAM196A, EBF3, PRRG4, LRP4, SYT7, PLBD1, GRASP, ALX1, HIP1R, LPAR6, SLITRK6, C16orf89, RP11-491F9.1, MMP2, B3GNT9, NXPH3, TNRC6C-AS1, LDLRAD4, NOL4, SMAD7, HCN2, PDE4A, KANK2, SAMD1, EXOC3L2, IL11, EMILIN3, KCNB1, DOK5, EEF1A2, A4GALT, ADGRG2, ELF4, ABCD1 Term Count % PValue Genes regulation of pathway-restricted GDF3, SMAD7, GDF7, BMPR2, GDF10, GREM1, BMP7, LDLRAD4, SMAD protein phosphorylation 9 6.34 1.31E-08 ENG pathway-restricted SMAD protein GDF3, SMAD7, GDF7, BMPR2, GDF10, GREM1, BMP7, LDLRAD4, phosphorylation -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like, -
Regulation of RNA Interference Pathways in the Insect Vector Laodelphax Striatellus by Viral Proteins of Rice Stripe Virus
viruses Article Regulation of RNA Interference Pathways in the Insect Vector Laodelphax striatellus by Viral Proteins of Rice Stripe Virus Yan Xiao 1,2,†, Qiong Li 1,3,†, Wei Wang 1, Yumei Fu 4 and Feng Cui 1,3,* 1 State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; [email protected] (Y.X.); [email protected] (Q.L.); [email protected] (W.W.) 2 College of Life Sciences, Hebei University, Baoding 071002, China 3 CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing 100049, China 4 Key Laboratory of Tropical Translational Medicine of Ministry of Education, School of Tropical Medicine and Laboratory Medicine, Hainan Medical University, Haikou 571199, China; [email protected] * Correspondence: [email protected] † These authors contributed equally to this work. Abstract: RNA interference (RNAi), especially the small interfering RNA (siRNA) and microRNA (miRNA) pathways, plays an important role in defending against viruses in plants and insects. However, how insect-transmitted phytoviruses regulate the RNAi-mediated antiviral response in vector insects has barely been uncovered. In this study, we explored the interaction between rice stripe virus (RSV) and the miRNA and siRNA pathways of the small brown planthopper, which is a vector insect. The transcript and protein levels of key genes in the two RNAi pathways did not change during the RSV infection process. When the expression of insect Ago1, Ago2, or Translin was silenced by the injection of double-stranded RNAs targeting these genes, viral replication was Citation: Xiao, Y.; Li, Q.; Wang, W.; promoted with Ago2 silencing but inhibited with Translin silencing. -
Whole-Exome Sequencing Associates Novel CSMD1 Gene Mutations with Familial Parkinson Disease
Whole-exome sequencing associates novel CSMD1 gene mutations with familial Parkinson disease Javier Ruiz-Martínez, ABSTRACT MD, PhD Objective: Despite the enormous advancements made in deciphering the genetic architecture of Luis J. Azcona, BBA Parkinson disease (PD), the majority of PD is idiopathic, with single gene mutations explaining only Alberto Bergareche, MD a small proportion of the cases. Jose F. Martí-Massó, MD, Methods: In this study, we clinically evaluated 2 unrelated Spanish families diagnosed with PD, in PhD which known PD genes were previously excluded, and performed whole-exome sequencing anal- Coro Paisán-Ruiz, PhD yses in affected individuals for disease gene identification. Results: Patients were diagnosed with typical PD without relevant distinctive symptoms. Two dif- Correspondence to ferent novel mutations were identified in the CSMD1 gene. The CSMD1 gene, which encodes Dr. Paisán-Ruiz: a complement control protein that is known to participate in the complement activation and [email protected] inflammation in the developing CNS, was previously shown to be associated with the risk of PD in a genome-wide association study. Conclusions: We conclude that the CSMD1 mutations identified in this study might be responsible for the PD phenotype observed in our examined patients. This, along with previous reported studies, may suggest the complement pathway as an important therapeutic target for PD and other neurodegenerative diseases. Neurol Genet 2017;3:e177; doi: 10.1212/NXG.0000000000000177 GLOSSARY AD 5 Alzheimer disease; CCP 5 complement control protein; fPD 5 familial Parkinson disease; H&Y 5 Hoehn and Yahr; INDEL 5 insertions/deletions; LOPD 5 late-onset PD; PD 5 Parkinson disease; RBD 5 REM sleep behavior disorder; RLS 5 restless legs syndrome; SNV 5 single nucleotide variant; WES 5 whole-exome sequencing. -
Whole Genome Sequencing of Familial Non-Medullary Thyroid Cancer Identifies Germline Alterations in MAPK/ERK and PI3K/AKT Signaling Pathways
biomolecules Article Whole Genome Sequencing of Familial Non-Medullary Thyroid Cancer Identifies Germline Alterations in MAPK/ERK and PI3K/AKT Signaling Pathways Aayushi Srivastava 1,2,3,4 , Abhishek Kumar 1,5,6 , Sara Giangiobbe 1, Elena Bonora 7, Kari Hemminki 1, Asta Försti 1,2,3 and Obul Reddy Bandapalli 1,2,3,* 1 Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), D-69120 Heidelberg, Germany; [email protected] (A.S.); [email protected] (A.K.); [email protected] (S.G.); [email protected] (K.H.); [email protected] (A.F.) 2 Hopp Children’s Cancer Center (KiTZ), D-69120 Heidelberg, Germany 3 Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), D-69120 Heidelberg, Germany 4 Medical Faculty, Heidelberg University, D-69120 Heidelberg, Germany 5 Institute of Bioinformatics, International Technology Park, Bangalore 560066, India 6 Manipal Academy of Higher Education (MAHE), Manipal, Karnataka 576104, India 7 S.Orsola-Malphigi Hospital, Unit of Medical Genetics, 40138 Bologna, Italy; [email protected] * Correspondence: [email protected]; Tel.: +49-6221-42-1709 Received: 29 August 2019; Accepted: 10 October 2019; Published: 13 October 2019 Abstract: Evidence of familial inheritance in non-medullary thyroid cancer (NMTC) has accumulated over the last few decades. However, known variants account for a very small percentage of the genetic burden. Here, we focused on the identification of common pathways and networks enriched in NMTC families to better understand its pathogenesis with the final aim of identifying one novel high/moderate-penetrance germline predisposition variant segregating with the disease in each studied family. -
Genomic Structure and Chromosomal Localization of the Gene Encoding TRAX, a Translin-Associated Factor X
J Hum Genet (2000) 45:305–308 © Jpn Soc Hum Genet and Springer-Verlag 2000 SHORT COMMUNICATION Gaoyuan Meng · Katsunori Aoki · Katsunobu Tokura Kazuhiko Nakahara · Johji Inazawa · Masataka Kasai Genomic structure and chromosomal localization of the gene encoding TRAX, a Translin-associated factor X Received: May 30, 2000 / Accepted: July 26, 2000 Abstract The TRAX gene encodes a Translin-associated Introduction 33-kDa protein partner, TRAX. The TRAX protein has extensive amino acid homology with Translin, and contains bipartite nuclear targeting sequences, suggesting a possible We have previously identified the Translin-associated pro- role in the selective nuclear transport of Translin lacking tein X, TRAX (Aoki et al. 1997a), a novel protein of 290 any nuclear targeting motifs. In the present study, genomic amino acids with a predicted molecular mass of 33kDa, clones of the human TRAX gene were isolated to determine using a yeast two-hybrid system. Translin itself was origi- the complete genomic organization. The genomic structure nally identified as a DNA binding protein that specific- of the human TRAX gene was similar to that of the human ally recognized the consensus sequences found at the Translin gene, consisting of six exons and five introns, breakpoints of chromosomal translocations in many cases encompassing approximately 27kb in genomic DNA. of lymphoid neoplasms (Kasai et al. 1992; 1994; Aoki et al. Northern blot analysis revealed a predominant transcript 1994; 1995). Electron microscopic and crystallographic in- of approximately 2.7kb, and its distribution in various tis- vestigations have revealed that Translin is a ring-shaped sues was like that of Translin. -
Cognitive Characterization of Schizophrenia Risk Variants Involved in Synaptic Transmission: Evidence of CACNA1C 'S Role in Working Memory
Neuropsychopharmacology (2017) 42, 2612–2622 © 2017 American College of Neuropsychopharmacology. All rights reserved 0893-133X/17 www.neuropsychopharmacology.org Cognitive Characterization of Schizophrenia Risk Variants Involved in Synaptic Transmission: Evidence of CACNA1C 's Role in Working Memory 1 1 2 3 4,5 3 Donna Cosgrove , Omar Mothersill , Kimberley Kendall , Bettina Konte , Denise Harold , Ina Giegling , 3 6 6 7 Annette Hartmann , Alex Richards , Kiran Mantripragada , The Wellcome Trust Case Control Consortium , Michael J Owen6, Michael C O’Donovan6, Michael Gill4, Dan Rujescu3, James Walters2, Aiden Corvin4, Derek W Morris1 and Gary Donohoe*,1 1 The Cognitive Genetics & Cognitive Therapy Group, The School of Psychology and Discipline of Biochemistry, The Centre for Neuroimaging & Cognitive Genomics, National University of Ireland Galway, Galway, Ireland; 2Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK; 3Department of Psychiatry, Psychotherapy and Psychosomatics, Martin-Luther-University Halle-Wittenberg, Halle, Germany; 4 Neuropsychiatric Genetics Research Group, Department of Psychiatry, Institute of Molecular Medicine, Trinity College Dublin, Dublin, Ireland; 5 6 School of Biotechnology, Dublin City University, Dublin, Ireland; MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK With 4100 common variants associated with schizophrenia risk, establishing their biological significance is a priority. We sought to establish cognitive effects of -
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VU Research Portal Megalencephalic Leukoencephalopathy with Subcortical Cysts Boor, P.K.I. 2008 document version Publisher's PDF, also known as Version of record Link to publication in VU Research Portal citation for published version (APA) Boor, P. K. I. (2008). Megalencephalic Leukoencephalopathy with Subcortical Cysts: from disease gene to protein function. General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ? Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. E-mail address: [email protected] Download date: 29. Sep. 2021 regel 1 regel 2 regel 3 regel 4 regel 5 regel 6 regel 7 Summary, Discussion, and regel 8 regel 9 Prospects regel 10 regel 11 regel 12 regel 13 regel 14 regel 15 regel 16 regel 17 regel 18 regel 19 regel 20 regel 21 regel 22 regel 23 8 regel 24 regel 25 regel 26 regel 27 regel 28 regel 29 regel 30 regel 31 regel 32 regel 33 regel 34 regel 35 regel 36 regel 37 regel 38 regel 39 Summary, Discussion, and Prospects regel 1 1. -
Case–Control Association Study of 59 Candidate Genes Reveals the DRD2
Journal of Human Genetics (2009) 54, 98–107 & 2009 The Japan Society of Human Genetics All rights reserved 1434-5161/09 $32.00 www.nature.com/jhg ORIGINAL ARTICLE Case–control association study of 59 candidate genes reveals the DRD2 SNP rs6277 (C957T) as the only susceptibility factor for schizophrenia in the Bulgarian population Elitza T Betcheva1, Taisei Mushiroda2, Atsushi Takahashi3, Michiaki Kubo4, Sena K Karachanak5, Irina T Zaharieva5, Radoslava V Vazharova5, Ivanka I Dimova5, Vihra K Milanova6, Todor Tolev7, George Kirov8, Michael J Owen8, Michael C O’Donovan8, Naoyuki Kamatani3, Yusuke Nakamura1,9 and Draga I Toncheva5 The development of molecular psychiatry in the last few decades identified a number of candidate genes that could be associated with schizophrenia. A great number of studies often result with controversial and non-conclusive outputs. However, it was determined that each of the implicated candidates would independently have a minor effect on the susceptibility to that disease. Herein we report results from our replication study for association using 255 Bulgarian patients with schizophrenia and schizoaffective disorder and 556 Bulgarian healthy controls. We have selected from the literatures 202 single nucleotide polymorphisms (SNPs) in 59 candidate genes, which previously were implicated in disease susceptibility, and we have genotyped them. Of the 183 SNPs successfully genotyped, only 1 SNP, rs6277 (C957T) in the DRD2 gene (P¼0.0010, odds ratio¼1.76), was considered to be significantly associated with schizophrenia after the replication study using independent sample sets. Our findings support one of the most widely considered hypotheses for schizophrenia etiology, the dopaminergic hypothesis.