Literature DB >> 24564651

Recent progress in the genetics of spontaneously hypertensive rats.

M Pravenec1, V Křen, V Landa, P Mlejnek, A Musilová, J Šilhavý, M Šimáková, V Zídek.   

Abstract

The spontaneously hypertensive rat (SHR) is the most widely used animal model of essential hypertension and accompanying metabolic disturbances. Recent advances in sequencing of genomes of BN-Lx and SHR progenitors of the BXH/HXB recombinant inbred (RI) strains as well as accumulation of multiple data sets of intermediary phenotypes in the RI strains, including mRNA and microRNA abundance, quantitative metabolomics, proteomics, methylomics or histone modifications, will make it possible to systematically search for genetic variants involved in regulation of gene expression and in the etiology of complex pathophysiological traits. New advances in manipulation of the rat genome, including efficient transgenesis and gene targeting, will enable in vivo functional analyses of selected candidate genes to identify QTL at the molecular level or to provide insight into mechanisms whereby targeted genes affect pathophysiological traits in the SHR.

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Year:  2014        PMID: 24564651

Source DB:  PubMed          Journal:  Physiol Res        ISSN: 0862-8408            Impact factor:   1.881


  15 in total

1.  Rat Models of Metabolic Syndrome.

Authors:  Anne E Kwitek
Journal:  Methods Mol Biol       Date:  2019

2.  Systems genetic analysis of brown adipose tissue function.

Authors:  Michal Pravenec; Laura M Saba; Václav Zídek; Vladimír Landa; Petr Mlejnek; Jan Šilhavý; Miroslava Šimáková; Hynek Strnad; Jaroslava Trnovská; Vojtěch Škop; Martina Hüttl; Irena Marková; Olena Oliyarnyk; Hana Malínská; Ludmila Kazdová; Harry Smith; Boris Tabakoff
Journal:  Physiol Genomics       Date:  2017-11-10       Impact factor: 3.107

3.  MicroRNA network changes in the brain stem underlie the development of hypertension.

Authors:  Danielle DeCicco; Haisun Zhu; Anthony Brureau; James S Schwaber; Rajanikanth Vadigepalli
Journal:  Physiol Genomics       Date:  2015-06-30       Impact factor: 3.107

Review 4.  Animal Models of Hypertension: A Scientific Statement From the American Heart Association.

Authors:  Lilach O Lerman; Theodore W Kurtz; Rhian M Touyz; David H Ellison; Alejandro R Chade; Steven D Crowley; David L Mattson; John J Mullins; Jeffrey Osborn; Alfonso Eirin; Jane F Reckelhoff; Costantino Iadecola; Thomas M Coffman
Journal:  Hypertension       Date:  2019-06       Impact factor: 10.190

Review 5.  Conplastic strains for identification of retrograde effects of mitochondrial dna variation on cardiometabolic traits in the spontaneously hypertensive rat.

Authors:  M Pravenec; J Šilhavý; P Mlejnek; M Šimáková; T Mráček; A Pecinová; K Tauchmannová; M Hütl; H Malínská; L Kazdová; J Neckář; F Kolář; J Žurmanová; J Novotný; J Houštěk
Journal:  Physiol Res       Date:  2021-12-30       Impact factor: 2.139

6.  miRNA Profiling of Exosomes from Spontaneous Hypertensive Rats Using Next-Generation Sequencing.

Authors:  Xiaoyan Liu; Wen Yuan; Lei Yang; Jing Li; Jun Cai
Journal:  J Cardiovasc Transl Res       Date:  2018-03-20       Impact factor: 4.132

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Authors:  Fumihiko Takeuchi; Yi-Qiang Liang; Masato Isono; Michiko Tajima; Zong Hu Cui; Yoko Iizuka; Takanari Gotoda; Toru Nabika; Norihiro Kato
Journal:  Dis Model Mech       Date:  2021-05-19       Impact factor: 5.758

8.  Hepatic Transcriptome Profiling Reveals Lack of Acsm3 Expression in Polydactylous Rats with High-Fat Diet-Induced Hypertriglyceridemia and Visceral Fat Accumulation.

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Journal:  Nutrients       Date:  2021-04-25       Impact factor: 5.717

9.  Single-Gene Congenic Strain Reveals the Effect of Zbtb16 on Dexamethasone-Induced Insulin Resistance.

Authors:  Michaela Krupková; František Liška; Ludmila Kazdová; Lucie Šedová; Adéla Kábelová; Drahomíra Křenová; Vladimír Křen; Ondřej Šeda
Journal:  Front Endocrinol (Lausanne)       Date:  2018-04-20       Impact factor: 5.555

Review 10.  Human Pluripotent Stem-Cell-Derived Models as a Missing Link in Drug Discovery and Development.

Authors:  Xiying Lin; Jiayu Tang; Yan-Ru Lou
Journal:  Pharmaceuticals (Basel)       Date:  2021-05-30
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