Gene expression profile analysis of aortic vascular smooth muscle cells reveals upregulation of cadherin genes in myocardial infarction patients.

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Bibliographic Details
Title: Gene expression profile analysis of aortic vascular smooth muscle cells reveals upregulation of cadherin genes in myocardial infarction patients.
Authors: Derda AA; Institute of Molecular and Translational Therapeutic Strategies (IMTTS), IFB-Tx, Hannover Medical School , Hannover , Germany., Woo CC; Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore , Singapore., Wongsurawat T; Department of Genome and Gene Expression Data Analysis, Bioinformatics Institute, Agency for Science, Technology and Research (A*STAR), Singapore.; Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences , Little Rock, Arkansas., Richards M; Cardiovascular Research Institute, Yong Loo Lin School of Medicine, National University of Singapore , Singapore., Lee CN; Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore , Singapore.; Department of Cardiac, Thoracic and Vascular Surgery, National University Hospital, National University Health System , Singapore., Kofidis T; Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore , Singapore.; Department of Cardiac, Thoracic and Vascular Surgery, National University Hospital, National University Health System , Singapore., Kuznetsov VA; Department of Genome and Gene Expression Data Analysis, Bioinformatics Institute, Agency for Science, Technology and Research (A*STAR), Singapore.; Department of Urology, SUNY Upstate Medical University , Syracuse, New York., Sorokin VA; Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore , Singapore.; Department of Cardiac, Thoracic and Vascular Surgery, National University Hospital, National University Health System , Singapore.
Source: Physiological genomics [Physiol Genomics] 2018 Aug 01; Vol. 50 (8), pp. 648-657. Date of Electronic Publication: 2018 May 18.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: American Physiological Society Country of Publication: United States NLM ID: 9815683 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1531-2267 (Electronic) Linking ISSN: 10948341 NLM ISO Abbreviation: Physiol Genomics
Database: MEDLINE Ultimate
Description
ISSN:1531-2267
DOI:10.1152/physiolgenomics.00042.2017