High-Throughput Loss-Of-Heterozygosity Study of Chromosome 3P in Lung Cancer Using Single-Nucleotide Polymorphism Markers
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Genetic Associations Between Voltage-Gated Calcium Channels (Vgccs) and Autism Spectrum Disorder (ASD)
Liao and Li Molecular Brain (2020) 13:96 https://doi.org/10.1186/s13041-020-00634-0 REVIEW Open Access Genetic associations between voltage- gated calcium channels and autism spectrum disorder: a systematic review Xiaoli Liao1,2 and Yamin Li2* Abstract Objectives: The present review systematically summarized existing publications regarding the genetic associations between voltage-gated calcium channels (VGCCs) and autism spectrum disorder (ASD). Methods: A comprehensive literature search was conducted to gather pertinent studies in three online databases. Two authors independently screened the included records based on the selection criteria. Discrepancies in each step were settled through discussions. Results: From 1163 resulting searched articles, 28 were identified for inclusion. The most prominent among the VGCCs variants found in ASD were those falling within loci encoding the α subunits, CACNA1A, CACNA1B, CACN A1C, CACNA1D, CACNA1E, CACNA1F, CACNA1G, CACNA1H, and CACNA1I as well as those of their accessory subunits CACNB2, CACNA2D3, and CACNA2D4. Two signaling pathways, the IP3-Ca2+ pathway and the MAPK pathway, were identified as scaffolds that united genetic lesions into a consensus etiology of ASD. Conclusions: Evidence generated from this review supports the role of VGCC genetic variants in the pathogenesis of ASD, making it a promising therapeutic target. Future research should focus on the specific mechanism that connects VGCC genetic variants to the complex ASD phenotype. Keywords: Autism spectrum disorder, Voltage-gated calcium -
Analysis of Trans Esnps Infers Regulatory Network Architecture
Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2014 © 2014 Anat Kreimer All rights reserved ABSTRACT Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer eSNPs are genetic variants associated with transcript expression levels. The characteristics of such variants highlight their importance and present a unique opportunity for studying gene regulation. eSNPs affect most genes and their cell type specificity can shed light on different processes that are activated in each cell. They can identify functional variants by connecting SNPs that are implicated in disease to a molecular mechanism. Examining eSNPs that are associated with distal genes can provide insights regarding the inference of regulatory networks but also presents challenges due to the high statistical burden of multiple testing. Such association studies allow: simultaneous investigation of many gene expression phenotypes without assuming any prior knowledge and identification of unknown regulators of gene expression while uncovering directionality. This thesis will focus on such distal eSNPs to map regulatory interactions between different loci and expose the architecture of the regulatory network defined by such interactions. We develop novel computational approaches and apply them to genetics-genomics data in human. We go beyond pairwise interactions to define network motifs, including regulatory modules and bi-fan structures, showing them to be prevalent in real data and exposing distinct attributes of such arrangements. We project eSNP associations onto a protein-protein interaction network to expose topological properties of eSNPs and their targets and highlight different modes of distal regulation. -
The Molecular Genetic Architecture of Attention Deficit Hyperactivity Disorder
Molecular Psychiatry (2015) 20, 289–297 © 2015 Macmillan Publishers Limited All rights reserved 1359-4184/15 www.nature.com/mp EXPERT REVIEW The molecular genetic architecture of attention deficit hyperactivity disorder Z Hawi1, TDR Cummins1, J Tong1, B Johnson1, R Lau1, W Samarrai2 and MA Bellgrove1 Attention deficit hyperactivity disorder (ADHD) is a common childhood behavioral condition which affects 2–10% of school age children worldwide. Although the underlying molecular mechanism for the disorder is poorly understood, familial, twin and adoption studies suggest a strong genetic component. Here we provide a state-of-the-art review of the molecular genetics of ADHD incorporating evidence from candidate gene and linkage designs, as well as genome-wide association (GWA) studies of common single-nucleotide polymorphisms (SNPs) and rare copy number variations (CNVs). Bioinformatic methods such as functional enrichment analysis and protein–protein network analysis are used to highlight biological processes of likely relevance to the aetiology of ADHD. Candidate gene associations of minor effect size have been replicated across a number of genes including SLC6A3, DRD5, DRD4, SLC6A4, LPHN3, SNAP-25, HTR1B, NOS1 and GIT1. Although case-control SNP-GWAS have had limited success in identifying common genetic variants for ADHD that surpass critical significance thresholds, quantitative trait designs suggest promising associations with Cadherin13 and glucose–fructose oxidoreductase domain 1 genes. Further, CNVs mapped to glutamate receptor genes (GRM1, GRM5, GRM7 and GRM8) have been implicated in the aetiology of the disorder and overlap with bioinformatic predictions based on ADHD GWAS SNP data regarding enriched pathways. Although increases in sample size across multi-center cohorts will likely yield important new results, we advocate that this must occur in parallel with a shift away from categorical case-control approaches that view ADHD as a unitary construct, towards dimensional approaches that incorporate endophenotypes and statistical classification methods. -
CLASP2 Antibody Product Type
PRODUCT INFORMATION Product name: CLASP2 antibody Product type: Primary antibodies Description: Rabbit polyclonal to CLASP2 Immunogen:3 synthetic peptides (human) conjugated to KLH Reacts with:Hu, Ms Tested applications:ELISA, WB and IF GENE INFORMATION Gene Symbol: CLASP2 Gene Name:cytoplasmic linker associated protein 2 Ensembl ID:ENSG00000163539 Entrez GeneID:23122 GenBank Accession number:AB014527 Swiss-Prot:O75122 Molecular weight of CLASP2: 165.9 & 108.6kDa Function:Microtubule plus-end tracking protein that promotes the stabilization of dynamic microtubules. Involved in the nucleation of noncentrosomal microtubules originating from the trans-Golgi network (TGN). Required for the polarization of the cytoplasmic microtubule arrays in migrating cells towards the leading edge of the cell. May act at the cell cortex to enhance the frequency of rescue of depolymerizing microtubules by attaching their plus- ends to cortical platforms composed of ERC1 and PHLDB2. This cortical microtubule stabilizing activity is regulated at least in part by phosphatidylinositol 3-kinase signaling. Also performs a similar stabilizing function at the kinetochore which is essential for the bipolar alignment of chromosomes on the mitotic spindle. Acts as a mediator of ERBB2- dependent stabilization of microtubules at the cell cortex. Expected subcellular localization:Cytoplasm › cytoskeleton. Cytoplasm › cytoskeleton › microtubule organizing center › centrosome. Chromosome › centromere › kinetochore. Cytoplasm › cytoskeleton › spindle. Golgi apparatus. Golgi apparatus › trans-Golgi network. Cell membrane. Cell projection › ruffle membrane. Note: Localizes to microtubule plus ends. Localizes to centrosomes, kinetochores and the mitotic spindle from prometaphase. Subsequently localizes to the spindle midzone from anaphase and to the midbody from telophase. In migrating cells localizes to the plus ends of microtubules within the cell body and to the entire microtubule lattice within the lamella. -
Noninvasive Sleep Monitoring in Large-Scale Screening of Knock-Out Mice
bioRxiv preprint doi: https://doi.org/10.1101/517680; this version posted January 11, 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-ND 4.0 International license. Noninvasive sleep monitoring in large-scale screening of knock-out mice reveals novel sleep-related genes Shreyas S. Joshi1*, Mansi Sethi1*, Martin Striz1, Neil Cole2, James M. Denegre2, Jennifer Ryan2, Michael E. Lhamon3, Anuj Agarwal3, Steve Murray2, Robert E. Braun2, David W. Fardo4, Vivek Kumar2, Kevin D. Donohue3,5, Sridhar Sunderam6, Elissa J. Chesler2, Karen L. Svenson2, Bruce F. O'Hara1,3 1Dept. of Biology, University of Kentucky, Lexington, KY 40506, USA, 2The Jackson Laboratory, Bar Harbor, ME 04609, USA, 3Signal solutions, LLC, Lexington, KY 40503, USA, 4Dept. of Biostatistics, University of Kentucky, Lexington, KY 40536, USA, 5Dept. of Electrical and Computer Engineering, University of Kentucky, Lexington, KY 40506, USA. 6Dept. of Biomedical Engineering, University of Kentucky, Lexington, KY 40506, USA. *These authors contributed equally Address for correspondence and proofs: Shreyas S. Joshi, Ph.D. Dept. of Biology University of Kentucky 675 Rose Street 101 Morgan Building Lexington, KY 40506 U.S.A. Phone: (859) 257-2805 FAX: (859) 257-1717 Email: [email protected] Running title: Sleep changes in knockout mice bioRxiv preprint doi: https://doi.org/10.1101/517680; this version posted January 11, 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. -
MACF1 Regulates the Migration of Pyramidal Neurons Via Microtubule Dynamics and GSK-3 Signaling
Developmental Biology 395 (2014) 4–18 Contents lists available at ScienceDirect Developmental Biology journal homepage: www.elsevier.com/locate/developmentalbiology MACF1 regulates the migration of pyramidal neurons via microtubule dynamics and GSK-3 signaling Minhan Ka a, Eui-Man Jung a, Ulrich Mueller b, Woo-Yang Kim a,n a Developmental Neuroscience, Munroe-Meyer Institute, University of Nebraska Medical Center, Omaha, NE 68198, United States b Dorris Neuroscience Center and Department of Cell Biology, The Scripps Research Institute, La Jolla, CA 92037, United States article info abstract Article history: Neuronal migration and subsequent differentiation play critical roles for establishing functional neural Received 5 June 2014 circuitry in the developing brain. However, the molecular mechanisms that regulate these processes are Received in revised form poorly understood. Here, we show that microtubule actin crosslinking factor 1 (MACF1) determines 13 August 2014 neuronal positioning by regulating microtubule dynamics and mediating GSK-3 signaling during brain Accepted 5 September 2014 development. First, using MACF1 floxed allele mice and in utero gene manipulation, we find that MACF1 Available online 16 September 2014 deletion suppresses migration of cortical pyramidal neurons and results in aberrant neuronal positioning Keywords: in the developing brain. The cell autonomous deficit in migration is associated with abnormal dynamics of MACF1 leading processes and centrosomes. Furthermore, microtubule stability is severely damaged in neurons Neuronal migration lacking MACF1, resulting in abnormal microtubule dynamics. Finally, MACF1 interacts with and mediates Cytoskeleton GSK-3 signaling in developing neurons. Our findings establish a cellular mechanism underlying neuronal Microtubule GSK-3 migration and provide insights into the regulation of cytoskeleton dynamics in developing neurons. -
HHS Public Access Author Manuscript
HHS Public Access Author manuscript Author Manuscript Author ManuscriptJAMA Psychiatry Author Manuscript. Author Author Manuscript manuscript; available in PMC 2015 August 03. Published in final edited form as: JAMA Psychiatry. 2014 June ; 71(6): 657–664. doi:10.1001/jamapsychiatry.2014.176. Identification of Pathways for Bipolar Disorder A Meta-analysis John I. Nurnberger Jr, MD, PhD, Daniel L. Koller, PhD, Jeesun Jung, PhD, Howard J. Edenberg, PhD, Tatiana Foroud, PhD, Ilaria Guella, PhD, Marquis P. Vawter, PhD, and John R. Kelsoe, MD for the Psychiatric Genomics Consortium Bipolar Group Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis (Nurnberger, Koller, Edenberg, Foroud); Institute of Psychiatric Research, Department of Psychiatry, Indiana University School of Medicine, Indianapolis (Nurnberger, Foroud); Laboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism Intramural Research Program, Bethesda, Maryland (Jung); Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis (Edenberg); Functional Genomics Laboratory, Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine (Guella, Vawter); Department of Psychiatry, School of Medicine, Corresponding Author: John I. Nurnberger Jr, MD, PhD, Institute of Psychiatric Research, Department of Psychiatry, Indiana University School of Medicine, 791 Union Dr, Indianapolis, IN 46202 ([email protected]). Author Contributions: Drs Koller and Vawter had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Study concept and design: Nurnberger, Koller, Edenberg, Vawter. Acquisition, analysis, or interpretation of data: All authors. Drafting of the manuscript: Nurnberger, Koller, Jung, Vawter. -
ADHD) Gene Networks in Children of Both African American and European American Ancestry
G C A T T A C G G C A T genes Article Rare Recurrent Variants in Noncoding Regions Impact Attention-Deficit Hyperactivity Disorder (ADHD) Gene Networks in Children of both African American and European American Ancestry Yichuan Liu 1 , Xiao Chang 1, Hui-Qi Qu 1 , Lifeng Tian 1 , Joseph Glessner 1, Jingchun Qu 1, Dong Li 1, Haijun Qiu 1, Patrick Sleiman 1,2 and Hakon Hakonarson 1,2,3,* 1 Center for Applied Genomics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA; [email protected] (Y.L.); [email protected] (X.C.); [email protected] (H.-Q.Q.); [email protected] (L.T.); [email protected] (J.G.); [email protected] (J.Q.); [email protected] (D.L.); [email protected] (H.Q.); [email protected] (P.S.) 2 Division of Human Genetics, Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA 3 Department of Human Genetics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA * Correspondence: [email protected]; Tel.: +1-267-426-0088 Abstract: Attention-deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder with poorly understood molecular mechanisms that results in significant impairment in children. In this study, we sought to assess the role of rare recurrent variants in non-European populations and outside of coding regions. We generated whole genome sequence (WGS) data on 875 individuals, Citation: Liu, Y.; Chang, X.; Qu, including 205 ADHD cases and 670 non-ADHD controls. The cases included 116 African Americans H.-Q.; Tian, L.; Glessner, J.; Qu, J.; Li, (AA) and 89 European Americans (EA), and the controls included 408 AA and 262 EA. -
Multivariate Analysis Reveals Genetic Associations of the Resting Default Mode Network in Psychotic Bipolar Disorder and Schizophrenia
Multivariate analysis reveals genetic associations of the resting default mode network in psychotic bipolar disorder and schizophrenia Shashwath A. Medaa,1, Gualberto Ruañob,c, Andreas Windemuthb, Kasey O’Neila, Clifton Berwisea, Sabra M. Dunna, Leah E. Boccaccioa, Balaji Narayanana, Mohan Kocherlab, Emma Sprootena, Matcheri S. Keshavand, Carol A. Tammingae, John A. Sweeneye, Brett A. Clementzf, Vince D. Calhoung,h,i, and Godfrey D. Pearlsona,h,j aOlin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital, Hartford, CT 06102; bGenomas Inc., Hartford, CT 06102; cGenetics Research Center, Hartford Hospital, Hartford, CT 06102; dDepartment of Psychiatry, Beth Israel Deaconess Hospital, Harvard Medical School, Boston, MA 02215; eDepartment of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75390; fDepartment of Psychology, University of Georgia, Athens, GA 30602; gThe Mind Research Network, Albuquerque, NM 87106; Departments of hPsychiatry and jNeurobiology, Yale University, New Haven, CT 06520; and iDepartment of Electrical and Computer Engineering, The University of New Mexico, Albuquerque, NM 87106 Edited by Robert Desimone, Massachusetts Institute of Technology, Cambridge, MA, and approved April 4, 2014 (received for review July 15, 2013) The brain’s default mode network (DMN) is highly heritable and is Although risk for psychotic illnesses is driven in small part by compromised in a variety of psychiatric disorders. However, ge- highly penetrant, often private mutations such as copy number netic control over the DMN in schizophrenia (SZ) and psychotic variants, substantial risk also is likely conferred by multiple genes bipolar disorder (PBP) is largely unknown. Study subjects (n = of small effect sizes interacting together (7). According to the 1,305) underwent a resting-state functional MRI scan and were “common disease common variant” (CDCV) model, one would analyzed by a two-stage approach. -
Noncoding Rnas As Novel Pancreatic Cancer Targets
NONCODING RNAS AS NOVEL PANCREATIC CANCER TARGETS by Amy Makler A Thesis Submitted to the Faculty of The Charles E. Schmidt College of Science In Partial Fulfillment of the Requirements for the Degree of Master of Science Florida Atlantic University Boca Raton, FL August 2018 Copyright 2018 by Amy Makler ii ACKNOWLEDGEMENTS I would first like to thank Dr. Narayanan for his continuous support, constant encouragement, and his gentle, but sometimes critical, guidance throughout the past two years of my master’s education. His faith in my abilities and his belief in my future success ensured I continue down this path of research. Working in Dr. Narayanan’s lab has truly been an unforgettable experience as well as a critical step in my future endeavors. I would also like to extend my gratitude to my committee members, Dr. Binninger and Dr. Jia, for their support and suggestions regarding my thesis. Their recommendations added a fresh perspective that enriched our initial hypothesis. They have been indispensable as members of my committee, and I thank them for their contributions. My parents have been integral to my successes in life and their support throughout my education has been crucial. They taught me to push through difficulties and encouraged me to pursue my interests. Thank you, mom and dad! I would like to thank my boyfriend, Joshua Disatham, for his assistance in ensuring my writing maintained a logical progression and flow as well as his unwavering support. He was my rock when the stress grew unbearable and his encouraging words kept me pushing along. -
Cacna2d3 (S-14): Sc-99324
SAN TA C RUZ BI OTEC HNOL OG Y, INC . Cacna2d3 (S-14): sc-99324 BACKGROUND APPLICATIONS Members of the calcium channel subunit α-2/ δ family regulate many aspects Cacna2d3 (S-14) is recommended for detection of Cacna2d3 of mouse, rat of calcium channels, such as increasing functional channel density on the and human origin by Western Blotting (starting dilution 1:200, dilution range plasma membrane, regulating voltage dependent kinetics and gating. Cacna2d3 1:100-1:1000), immunoprecipitation [1-2 µg per 100-500 µg of total protein (voltage-dependent calcium channel subunit α-2/ δ-3) is a 1,091 amino acid (1 ml of cell lysate)], immunofluorescence (starting dilution 1:50, dilution single-pass transmembrane protein that interacts with α-1, α-2 and β sub - range 1:50-1:500) and solid phase ELISA (starting dilution 1:30, dilution range units in a 1:1:1:1 ratio to form a channel-mediating calcium influx. Cacna2d3 1:30-1:3000); non cross-reactive with family members Cacna2d1, Cacna2d2 contains a VWFA domain that binds divalent metal cations, which are required or Cacna2d4. to promote trafficking of the -1 subunit to the plasma membrane. Cacna2d3 α Cacna2d3 (S-14) is also recommended for detection of Cacna2d3 in additional can be proteolytically cleaved into -2-3 and -3 subunits that are linked by α δ species, including equine, canine, bovine, porcine and avian. disulfide bonds. Loss of heterozygosity in the gene encoding Cacna2d3 has been discovered in conventional renal cell carcinomas. Suitable for use as control antibody for Cacna2d3 siRNA (h): sc-78007, Cacna2d3 siRNA (m): sc-141969, Cacna2d3 shRNA Plasmid (h): sc-78007-SH, REFERENCES Cacna2d3 shRNA Plasmid (m): sc-141969-SH, Cacna2d3 shRNA (h) Lentiviral Particles: sc-78007-V and Cacna2d3 shRNA (m) Lentiviral Particles: 1. -
Supplementary Figure 1. Network Map Associated with Upregulated Canonical Pathways Shows Interferon Alpha As a Key Regulator
Supplementary Figure 1. Network map associated with upregulated canonical pathways shows interferon alpha as a key regulator. IPA core analysis determined interferon-alpha as an upstream regulator in the significantly upregulated genes from RNAseq data from nasopharyngeal swabs of COVID-19 patients (GSE152075). Network map was generated in IPA, overlaid with the Coronavirus Replication Pathway. Supplementary Figure 2. Network map associated with Cell Cycle, Cellular Assembly and Organization, DNA Replication, Recombination, and Repair shows relationships among significant canonical pathways. Significant pathways were identified from pathway analysis of RNAseq from PBMCs of COVID-19 patients. Coronavirus Pathogenesis Pathway was also overlaid on the network map. The orange and blue colors in indicate predicted activation or predicted inhibition, respectively. Supplementary Figure 3. Significant biological processes affected in brochoalveolar lung fluid of severe COVID-19 patients. Network map was generated by IPA core analysis of differentially expressed genes for severe vs mild COVID-19 patients in bronchoalveolar lung fluid (BALF) from scRNA-seq profile of GSE145926. Orange color represents predicted activation. Red boxes highlight important cytokines involved. Supplementary Figure 4. 10X Genomics Human Immunology Panel filtered differentially expressed genes in each immune subset (NK cells, T cells, B cells, and Macrophages) of severe versus mild COVID-19 patients. Three genes (HLA-DQA2, IFIT1, and MX1) were found significantly and consistently differentially expressed. Gene expression is shown per the disease severity (mild, severe, recovered) is shown on the top row and expression across immune cell subsets are shown on the bottom row. Supplementary Figure 5. Network map shows interactions between differentially expressed genes in severe versus mild COVID-19 patients.