Literature DB >> 11689335

Mouse-based phenogenomics for modelling human disease.

J Rossant1, C McKerlie.   

Abstract

The powerful and wide-ranging genetic tools available in the laboratory mouse make it the major experimental model for studying mammalian gene function in vivo and modelling human disease traits. Large-scale random mutagenesis approaches, either gene-driven or phenotype-driven, promise to identify new clinically relevant phenotypes and their associated genes. Development of appropriate tools for assessing clinical phenotypes in mice is a crucial component of these endeavours, as is the establishment of the infrastructure for archiving and distribution of the growing mutant resource to the community. Integrated, multidisciplinary programs will be needed to fully exploit the power of the mouse in molecular medicine.

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Year:  2001        PMID: 11689335     DOI: 10.1016/s1471-4914(01)02164-5

Source DB:  PubMed          Journal:  Trends Mol Med        ISSN: 1471-4914            Impact factor:   11.951


  11 in total

Review 1.  CNS repair and axon regeneration: Using genetic variation to determine mechanisms.

Authors:  Andrea Tedeschi; Takao Omura; Michael Costigan
Journal:  Exp Neurol       Date:  2016-05-06       Impact factor: 5.330

Review 2.  The autism diagnosis in translation: shared affect in children and mouse models of ASD.

Authors:  Somer L Bishop; Garet P Lahvis
Journal:  Autism Res       Date:  2011-08-31       Impact factor: 5.216

Review 3.  Animal models of Williams syndrome.

Authors:  Lucy R Osborne
Journal:  Am J Med Genet C Semin Med Genet       Date:  2010-05-15       Impact factor: 3.908

Review 4.  Encore: Behavioural animal models of stress, depression and mood disorders.

Authors:  Aleksa Petković; Dipesh Chaudhury
Journal:  Front Behav Neurosci       Date:  2022-08-08       Impact factor: 3.617

5.  The mouse kinome: discovery and comparative genomics of all mouse protein kinases.

Authors:  Sean Caenepeel; Glen Charydczak; Sucha Sudarsanam; Tony Hunter; Gerard Manning
Journal:  Proc Natl Acad Sci U S A       Date:  2004-08-02       Impact factor: 11.205

Review 6.  Modelling human regulatory variation in mouse: finding the function in genome-wide association studies and whole-genome sequencing.

Authors:  Jean-François Schmouth; Russell J Bonaguro; Ximena Corso-Diaz; Elizabeth M Simpson
Journal:  PLoS Genet       Date:  2012-03-01       Impact factor: 5.917

Review 7.  Histotripsy Ablation in Preclinical Animal Models of Cancer and Spontaneous Tumors in Veterinary Patients: A Review.

Authors:  Alissa Hendricks-Wenger; Lauren Arnold; Jessica Gannon; Alex Simon; Neha Singh; Hannah Sheppard; Margaret A Nagai-Singer; Khan Mohammad Imran; Kiho Lee; Sherrie Clark-Deener; Christopher Byron; Michael R Edwards; Martha M Larson; John H Rossmeisl; Sheryl L Coutermarsh-Ott; Kristin Eden; Nikolaos Dervisis; Shawna Klahn; Joanne Tuohy; Irving Coy Allen; Eli Vlaisavljevich
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2021-12-31       Impact factor: 3.267

8.  A complementation method for functional analysis of mammalian genes.

Authors:  Juana Maria Gonzalez-Santos; Huibi Cao; Anan Wang; David R Koehler; Bernard Martin; Roya Navab; Jim Hu
Journal:  Nucleic Acids Res       Date:  2005-06-08       Impact factor: 16.971

9.  Lineage-specific biology revealed by a finished genome assembly of the mouse.

Authors:  Deanna M Church; Leo Goodstadt; Ladeana W Hillier; Michael C Zody; Steve Goldstein; Xinwe She; Carol J Bult; Richa Agarwala; Joshua L Cherry; Michael DiCuccio; Wratko Hlavina; Yuri Kapustin; Peter Meric; Donna Maglott; Zoë Birtle; Ana C Marques; Tina Graves; Shiguo Zhou; Brian Teague; Konstantinos Potamousis; Christopher Churas; Michael Place; Jill Herschleb; Ron Runnheim; Daniel Forrest; James Amos-Landgraf; David C Schwartz; Ze Cheng; Kerstin Lindblad-Toh; Evan E Eichler; Chris P Ponting
Journal:  PLoS Biol       Date:  2009-05-26       Impact factor: 8.029

10.  Identification of "pathologs" (disease-related genes) from the RIKEN mouse cDNA dataset using human curation plus FACTS, a new biological information extraction system.

Authors:  Diego G Silva; Christian Schönbach; Vladimir Brusic; Luis A Socha; Takeshi Nagashima; Nikolai Petrovsky
Journal:  BMC Genomics       Date:  2004-04-29       Impact factor: 3.969

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