Theory and Applications of the (Cardio) Genomic Fabric Approach to Post-Ischemic and Hypoxia-Induced Heart Failure
The genomic fabric paradigm (GFP) characterizes the transcriptome topology by the transcripts’ abundances, the variability of the expression profile, and the inter-coordination of gene expressions in each pathophysiological condition. The expression variability analysis provides an indirect estimate...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Journal of Personalized Medicine |
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| Online Access: | https://www.mdpi.com/2075-4426/12/8/1246 |
| _version_ | 1797409373650157568 |
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| author | Dumitru Andrei Iacobas Lei Xi |
| author_facet | Dumitru Andrei Iacobas Lei Xi |
| author_sort | Dumitru Andrei Iacobas |
| collection | DOAJ |
| description | The genomic fabric paradigm (GFP) characterizes the transcriptome topology by the transcripts’ abundances, the variability of the expression profile, and the inter-coordination of gene expressions in each pathophysiological condition. The expression variability analysis provides an indirect estimate of the cell capability to limit the stochastic fluctuations of the expression levels of key genes, while the expression coordination analysis determines the gene networks in functional pathways. This report illustrates the theoretical bases and the mathematical framework of the GFP with applications to our microarray data from mouse models of post ischemic, and constant and intermittent hypoxia-induced heart failures. GFP analyses revealed the myocardium priorities in keeping the expression of key genes within narrow intervals, determined the statistically significant gene interlinkages, and identified the gene master regulators in the mouse heart left ventricle under normal and ischemic conditions. We quantified the expression regulation, alteration of the expression control, and remodeling of the gene networks caused by the oxygen deprivation and determined the efficacy of the bone marrow mono-nuclear stem cell injections to restore the normal transcriptome. Through the comprehensive assessment of the transcriptome, GFP would pave the way towards the development of personalized gene therapy of cardiac diseases. |
| first_indexed | 2024-03-09T04:14:39Z |
| format | Article |
| id | doaj.art-06bd8aae6d354354882ec096bcc6f5e5 |
| institution | Directory Open Access Journal |
| issn | 2075-4426 |
| language | English |
| last_indexed | 2024-03-09T04:14:39Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Personalized Medicine |
| spelling | doaj.art-06bd8aae6d354354882ec096bcc6f5e52023-12-03T13:55:56ZengMDPI AGJournal of Personalized Medicine2075-44262022-07-01128124610.3390/jpm12081246Theory and Applications of the (Cardio) Genomic Fabric Approach to Post-Ischemic and Hypoxia-Induced Heart FailureDumitru Andrei Iacobas0Lei Xi1Personalized Genomics Laboratory, Roy G Perry College of Engineering, Prairie View A&M University, Prairie View, TX 77446, USAPauley Heart Center, Division of Cardiology, Virginia Commonwealth University, Richmond, VA 23298, USAThe genomic fabric paradigm (GFP) characterizes the transcriptome topology by the transcripts’ abundances, the variability of the expression profile, and the inter-coordination of gene expressions in each pathophysiological condition. The expression variability analysis provides an indirect estimate of the cell capability to limit the stochastic fluctuations of the expression levels of key genes, while the expression coordination analysis determines the gene networks in functional pathways. This report illustrates the theoretical bases and the mathematical framework of the GFP with applications to our microarray data from mouse models of post ischemic, and constant and intermittent hypoxia-induced heart failures. GFP analyses revealed the myocardium priorities in keeping the expression of key genes within narrow intervals, determined the statistically significant gene interlinkages, and identified the gene master regulators in the mouse heart left ventricle under normal and ischemic conditions. We quantified the expression regulation, alteration of the expression control, and remodeling of the gene networks caused by the oxygen deprivation and determined the efficacy of the bone marrow mono-nuclear stem cell injections to restore the normal transcriptome. Through the comprehensive assessment of the transcriptome, GFP would pave the way towards the development of personalized gene therapy of cardiac diseases.https://www.mdpi.com/2075-4426/12/8/1246<i>Adra1b</i><i>Ank2</i>bone marrow stem cell therapy<i>Cox6b1</i>cremgene expression control |
| spellingShingle | Dumitru Andrei Iacobas Lei Xi Theory and Applications of the (Cardio) Genomic Fabric Approach to Post-Ischemic and Hypoxia-Induced Heart Failure Journal of Personalized Medicine <i>Adra1b</i> <i>Ank2</i> bone marrow stem cell therapy <i>Cox6b1</i> crem gene expression control |
| title | Theory and Applications of the (Cardio) Genomic Fabric Approach to Post-Ischemic and Hypoxia-Induced Heart Failure |
| title_full | Theory and Applications of the (Cardio) Genomic Fabric Approach to Post-Ischemic and Hypoxia-Induced Heart Failure |
| title_fullStr | Theory and Applications of the (Cardio) Genomic Fabric Approach to Post-Ischemic and Hypoxia-Induced Heart Failure |
| title_full_unstemmed | Theory and Applications of the (Cardio) Genomic Fabric Approach to Post-Ischemic and Hypoxia-Induced Heart Failure |
| title_short | Theory and Applications of the (Cardio) Genomic Fabric Approach to Post-Ischemic and Hypoxia-Induced Heart Failure |
| title_sort | theory and applications of the cardio genomic fabric approach to post ischemic and hypoxia induced heart failure |
| topic | <i>Adra1b</i> <i>Ank2</i> bone marrow stem cell therapy <i>Cox6b1</i> crem gene expression control |
| url | https://www.mdpi.com/2075-4426/12/8/1246 |
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