Literature DB >> 32004439

Genome-wide In Vivo CNS Screening Identifies Genes that Modify CNS Neuronal Survival and mHTT Toxicity.

Mary H Wertz1, Mollie R Mitchem1, S Sebastian Pineda2, Lea J Hachigian3, Hyeseung Lee1, Vanessa Lau1, Alex Powers1, Ruth Kulicke1, Gurrein K Madan4, Medina Colic5, Martine Therrien1, Amanda Vernon3, Victoria F Beja-Glasser6, Mudra Hegde7, Fan Gao8, Manolis Kellis9, Traver Hart5, John G Doench7, Myriam Heiman10.   

Abstract

Unbiased in vivo genome-wide genetic screening is a powerful approach to elucidate new molecular mechanisms, but such screening has not been possible to perform in the mammalian central nervous system (CNS). Here, we report the results of the first genome-wide genetic screens in the CNS using both short hairpin RNA (shRNA) and CRISPR libraries. Our screens identify many classes of CNS neuronal essential genes and demonstrate that CNS neurons are particularly sensitive not only to perturbations to synaptic processes but also autophagy, proteostasis, mRNA processing, and mitochondrial function. These results reveal a molecular logic for the common implication of these pathways across multiple neurodegenerative diseases. To further identify disease-relevant genetic modifiers, we applied our screening approach to two mouse models of Huntington's disease (HD). Top mutant huntingtin toxicity modifier genes included several Nme genes and several genes involved in methylation-dependent chromatin silencing and dopamine signaling, results that reveal new HD therapeutic target pathways.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Huntington’s disease; Nme1; genome-wide screening; neuronal essential genes

Mesh:

Substances:

Year:  2020        PMID: 32004439      PMCID: PMC7181458          DOI: 10.1016/j.neuron.2020.01.004

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


  62 in total

1.  A 16-kDa protein functions as a new regulatory protein for Hsc70 molecular chaperone and is identified as a member of the Nm23/nucleoside diphosphate kinase family.

Authors:  S M Leung; L E Hightower
Journal:  J Biol Chem       Date:  1997-01-31       Impact factor: 5.157

2.  Deficiency of Ube3a in Huntington's disease mice brain increases aggregate load and accelerates disease pathology.

Authors:  Megha Maheshwari; Shashi Shekhar; Brijesh Kumar Singh; Imran Jamal; Naman Vatsa; Vipendra Kumar; Ankit Sharma; Nihar Ranjan Jana
Journal:  Hum Mol Genet       Date:  2014-07-04       Impact factor: 6.150

Review 3.  Strategies for In Vivo Genome Editing in Nondividing Cells.

Authors:  Fatemeharefeh Nami; Mohsen Basiri; Leila Satarian; Cameron Curtiss; Hossein Baharvand; Catherine Verfaillie
Journal:  Trends Biotechnol       Date:  2018-04-21       Impact factor: 19.536

4.  A lentiviral RNAi library for human and mouse genes applied to an arrayed viral high-content screen.

Authors:  Jason Moffat; Dorre A Grueneberg; Xiaoping Yang; So Young Kim; Angela M Kloepfer; Gregory Hinkle; Bruno Piqani; Thomas M Eisenhaure; Biao Luo; Jennifer K Grenier; Anne E Carpenter; Shi Yin Foo; Sheila A Stewart; Brent R Stockwell; Nir Hacohen; William C Hahn; Eric S Lander; David M Sabatini; David E Root
Journal:  Cell       Date:  2006-03-24       Impact factor: 41.582

5.  Decreased expression of striatal signaling genes in a mouse model of Huntington's disease.

Authors:  R Luthi-Carter; A Strand; N L Peters; S M Solano; Z R Hollingsworth; A S Menon; A S Frey; B S Spektor; E B Penney; G Schilling; C A Ross; D R Borchelt; S J Tapscott; A B Young; J H Cha; J M Olson
Journal:  Hum Mol Genet       Date:  2000-05-22       Impact factor: 6.150

6.  Extensive changes in DNA methylation are associated with expression of mutant huntingtin.

Authors:  Christopher W Ng; Ferah Yildirim; Yoon Sing Yap; Simona Dalin; Bryan J Matthews; Patricio J Velez; Adam Labadorf; David E Housman; Ernest Fraenkel
Journal:  Proc Natl Acad Sci U S A       Date:  2013-01-22       Impact factor: 11.205

7.  Neuropathological classification of Huntington's disease.

Authors:  J P Vonsattel; R H Myers; T J Stevens; R J Ferrante; E D Bird; E P Richardson
Journal:  J Neuropathol Exp Neurol       Date:  1985-11       Impact factor: 3.685

8.  HTSeq--a Python framework to work with high-throughput sequencing data.

Authors:  Simon Anders; Paul Theodor Pyl; Wolfgang Huber
Journal:  Bioinformatics       Date:  2014-09-25       Impact factor: 6.937

9.  A geometric approach to characterize the functional identity of single cells.

Authors:  Shahin Mohammadi; Vikram Ravindra; David F Gleich; Ananth Grama
Journal:  Nat Commun       Date:  2018-04-17       Impact factor: 14.919

10.  Comprehensive behavioral and molecular characterization of a new knock-in mouse model of Huntington's disease: zQ175.

Authors:  Liliana B Menalled; Andrea E Kudwa; Sam Miller; Jon Fitzpatrick; Judy Watson-Johnson; Nicole Keating; Melinda Ruiz; Richard Mushlin; William Alosio; Kristi McConnell; David Connor; Carol Murphy; Steve Oakeshott; Mei Kwan; Jose Beltran; Afshin Ghavami; Dani Brunner; Larry C Park; Sylvie Ramboz; David Howland
Journal:  PLoS One       Date:  2012-12-20       Impact factor: 3.240

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  18 in total

1.  Cell Type-Specific Transcriptomics Reveals that Mutant Huntingtin Leads to Mitochondrial RNA Release and Neuronal Innate Immune Activation.

Authors:  Hyeseung Lee; Robert J Fenster; S Sebastian Pineda; Whitney S Gibbs; Shahin Mohammadi; Jose Davila-Velderrain; Francisco J Garcia; Martine Therrien; Hailey S Novis; Fan Gao; Hilary Wilkinson; Thomas Vogt; Manolis Kellis; Matthew J LaVoie; Myriam Heiman
Journal:  Neuron       Date:  2020-07-17       Impact factor: 17.173

Review 2.  CRISPR-Based Genome-Editing Tools for Huntington's Disease Research and Therapy.

Authors:  Yiyang Qin; Shihua Li; Xiao-Jiang Li; Su Yang
Journal:  Neurosci Bull       Date:  2022-05-24       Impact factor: 5.203

Review 3.  Modifier pathways in polyglutamine (PolyQ) diseases: from genetic screens to drug targets.

Authors:  Marta Daniela Costa; Patrícia Maciel
Journal:  Cell Mol Life Sci       Date:  2022-05-03       Impact factor: 9.261

Review 4.  Autophagy in health and disease: From molecular mechanisms to therapeutic target.

Authors:  Guang Lu; Yu Wang; Yin Shi; Zhe Zhang; Canhua Huang; Weifeng He; Chuang Wang; Han-Ming Shen
Journal:  MedComm (2020)       Date:  2022-07-10

Review 5.  Delivering the Promise of Gene Therapy with Nanomedicines in Treating Central Nervous System Diseases.

Authors:  Meihua Luo; Leo Kit Cheung Lee; Bo Peng; Chung Hang Jonathan Choi; Wing Yin Tong; Nicolas H Voelcker
Journal:  Adv Sci (Weinh)       Date:  2022-07-18       Impact factor: 17.521

6.  Core transcription programs controlling injury-induced neurodegeneration of retinal ganglion cells.

Authors:  Feng Tian; Yuyan Cheng; Songlin Zhou; Qianbin Wang; Aboozar Monavarfeshani; Kun Gao; Weiqian Jiang; Riki Kawaguchi; Qing Wang; Mingjun Tang; Ryan Donahue; Huyan Meng; Yu Zhang; Anne Jacobi; Wenjun Yan; Jiani Yin; Xinyi Cai; Zhiyun Yang; Shane Hegarty; Joanna Stanicka; Phillip Dmitriev; Daniel Taub; Junjie Zhu; Clifford J Woolf; Joshua R Sanes; Daniel H Geschwind; Zhigang He
Journal:  Neuron       Date:  2022-06-28       Impact factor: 18.688

7.  Identification of early neurodegenerative pathways in progressive multiple sclerosis.

Authors:  Max Kaufmann; Anna-Lena Schaupp; Rosa Sun; Fabian Coscia; Calliope A Dendrou; Adrian Cortes; Gurman Kaur; Hayley G Evans; Annelie Mollbrink; José Fernández Navarro; Jana K Sonner; Christina Mayer; Gabriele C DeLuca; Joakim Lundeberg; Paul M Matthews; Kathrine E Attfield; Manuel A Friese; Matthias Mann; Lars Fugger
Journal:  Nat Neurosci       Date:  2022-06-20       Impact factor: 28.771

Review 8.  In vivo Pooled Screening: A Scalable Tool to Study the Complexity of Aging and Age-Related Disease.

Authors:  Martin Borch Jensen; Adam Marblestone
Journal:  Front Aging       Date:  2021-08-31

9.  Essential genes from genome-wide screenings as a resource for neuropsychiatric disorders gene discovery.

Authors:  Wei Zhang; Joao Quevedo; Gabriel R Fries
Journal:  Transl Psychiatry       Date:  2021-05-25       Impact factor: 6.222

10.  A genome-wide CRISPR/Cas9 screen to identify phagocytosis modulators in monocytic THP-1 cells.

Authors:  Benjamin Lindner; Eva Martin; Monika Steininger; Aleksandra Bundalo; Martin Lenter; Johannes Zuber; Michael Schuler
Journal:  Sci Rep       Date:  2021-06-21       Impact factor: 4.379

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