Literature DB >> 12661916

Use of a panel of congenic strains to evaluate differentially expressed genes as candidate genes for blood pressure quantitative trait loci.

Soon J Lee1, Jun Liu, Nianning Qi, Ross A Guarnera, Si Y Lee, George T Cicila.   

Abstract

Candidate gene(s) for multiple blood pressure (BP) quantitative trait loci (QTL) were sought by analysis of differential gene expression patterns in the kidneys of a panel of eight congenic strains, each of which carries a different low-BP QTL allele with a genetic composition that is otherwise similar to that of the hypertensive Dahl salt-sensitive (S) rat strain. First, genes differentially expressed in the kidneys of one-month-old Dahl S and salt-resistant (R) rats were identified. Then, Northern filter hybridization was used to examine the expression patterns of these genes in a panel of congenic strains. Finally, their chromosomal location was determined by radiation hybrid (RH) mapping. Seven out of 37 differentially expressed genes were mapped to congenic regions carrying BP QTLs, but only one of these genes, L-2 hydroxy acid oxidase (Hao2), showed the congenic strain-specific pattern of differential kidney gene expression predicted by its chromosomal location. This data suggests that Hao2 should be examined as a candidate gene for the rat chromosome 2 (RNO2) BP QTL.

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Year:  2003        PMID: 12661916     DOI: 10.1291/hypres.26.75

Source DB:  PubMed          Journal:  Hypertens Res        ISSN: 0916-9636            Impact factor:   3.872


  12 in total

1.  Fine-mapping and comprehensive transcript analysis reveals nonsynonymous variants within a novel 1.17 Mb blood pressure QTL region on rat chromosome 10.

Authors:  Yasser Saad; Michael R Garrett; Ezhilarasi Manickavasagam; Shane Yerga-Woolwine; Phyllis Farms; Tracy Radecki; Bina Joe
Journal:  Genomics       Date:  2007-01-10       Impact factor: 5.736

2.  Closely linked non-additive blood pressure quantitative trait loci.

Authors:  Edward J Toland; Yasser Saad; Shane Yerga-Woolwine; Steven Ummel; Phyllis Farms; Ramona Ramdath; Bryan C Frank; Norman H Lee; Bina Joe
Journal:  Mamm Genome       Date:  2008-03-07       Impact factor: 2.957

3.  Detection and Characterization of the Effect of AB-FUBINACA and Its Metabolites in a Rat Model.

Authors:  Michael Hsin-Hung Chen; Aybike Dip; Mostafa Ahmed; Michael L Tan; Jeffrey P Walterscheid; Hua Sun; Ba-Bie Teng; Ashraf Mozayani
Journal:  J Cell Biochem       Date:  2015-11-24       Impact factor: 4.429

4.  Potent and Selective Inhibitors of Long Chain l-2-Hydroxy Acid Oxidase Reduced Blood Pressure in DOCA Salt-Treated Rats.

Authors:  Dinesh A Barawkar; Ashwin Meru; Anish Bandyopadhyay; Abir Banerjee; Anil M Deshpande; Chandrashekhar Athare; Chandrasekhar Koduru; Goraksha Khose; Jayasagar Gundu; Koshu Mahajan; Pradeep Patil; Sachin R Kandalkar; Sanjay Niranjan; Shubhangi Bhosale; Siddhartha De; Sudit Mukhopadhyay; Sumit Chaudhary; Summon Koul; Umesh Singh; Anita Chugh; Venkata P Palle; Kasim A Mookhtiar; Joseph Vacca; Prasun K Chakravarty; Ravi P Nargund; Samuel D Wright; Sophie Roy; Michael P Graziano; Sheo B Singh; Doris Cully; Tian-Quan Cai
Journal:  ACS Med Chem Lett       Date:  2011-10-07       Impact factor: 4.345

Review 5.  Genetic determinants of hypertension: an update.

Authors:  Michael Harrison; Karen Maresso; Ulrich Broeckel
Journal:  Curr Hypertens Rep       Date:  2008-12       Impact factor: 5.369

6.  Identification of the promoter region and genetic mutations of the porcine GALP gene.

Authors:  Lina Su; Shuqi Mei; Hu Tao; Xianwen Peng; Xiaojie Sun; Huayu Wu; Xuying Zhang; Mu Qiao; Fenge Li
Journal:  Mol Biol Rep       Date:  2012-12-09       Impact factor: 2.316

7.  Serious limitations of the QTL/microarray approach for QTL gene discovery.

Authors:  Ricardo A Verdugo; Charles R Farber; Craig H Warden; Juan F Medrano
Journal:  BMC Biol       Date:  2010-07-12       Impact factor: 7.431

8.  Drug off-target effects predicted using structural analysis in the context of a metabolic network model.

Authors:  Roger L Chang; Li Xie; Lei Xie; Philip E Bourne; Bernhard Ø Palsson
Journal:  PLoS Comput Biol       Date:  2010-09-23       Impact factor: 4.475

9.  Microarray profiling for differential gene expression in PMSG-hCG stimulated preovulatory ovarian follicles of Chinese Taihu and Large White sows.

Authors:  Xiaojie Sun; Shuqi Mei; Hu Tao; Guodong Wang; Lina Su; Siwen Jiang; Changyan Deng; Yuanzhu Xiong; Fenge Li
Journal:  BMC Genomics       Date:  2011-02-16       Impact factor: 3.969

Review 10.  Candidate gene identification approach: progress and challenges.

Authors:  Mengjin Zhu; Shuhong Zhao
Journal:  Int J Biol Sci       Date:  2007-10-25       Impact factor: 6.580

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