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- Publisher Website: 10.1016/S1388-9842(01)00131-3
- Scopus: eid_2-s2.0-0034837744
- PMID: 11377997
- WOS: WOS:000169189700002
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Article: Discovering altered genomic expression patterns in heart: Transcriptome determination by serial analysis of gene expression
Title | Discovering altered genomic expression patterns in heart: Transcriptome determination by serial analysis of gene expression |
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Authors | |
Keywords | Heart Failure Human Rodent SAGE Transcriptome |
Issue Date | 2001 |
Citation | European Journal of Heart Failure, 2001, v. 3 n. 3, p. 271-281 How to Cite? |
Abstract | The development of cardiovascular diseases such as heart failure involve functional changes that are beneficial short-term, but may be fatal long-term. Current therapeutic approaches are tailored to limit progression of a disease and to maintain quality of life. At a molecular level, these disease processes involve quantitative and qualitative changes in gene expression. Although some changes in mRNA abundance may not have direct protein correlates, analysis of all the mRNAs present in a cell population (the cells transcriptome) has become a focal point of genomic research. The aim is to provide information about the dynamics of total genome expression in response to environmental changes and point to candidate genes responsible for the cascade of events that result in a disease state. One way of performing these analyses utilizes the technique of Serial Analysis of Gene Expression (SAGE). This method evaluates thousands of expressed transcripts both quantitatively and qualitatively in a single assay. In the first of two reviews on transcriptome analysis, we describe the current state of genomic research for determination of the transcriptome by Serial Analysis of Gene Expression, present the first limited SAGE analysis of rodent heart gene expression, and discuss how results generated with this approach can be applied to the study and treatment of cardiovascular diseases. Published by Elsevier Science Ireland ltd on behalf of European Society of Cardiology. |
Persistent Identifier | http://hdl.handle.net/10722/195250 |
ISSN | 2023 Impact Factor: 16.9 2023 SCImago Journal Rankings: 5.919 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Anisimov, SV | - |
dc.contributor.author | Lakatta, EG | - |
dc.contributor.author | Boheler, KR | - |
dc.date.accessioned | 2014-02-25T01:40:21Z | - |
dc.date.available | 2014-02-25T01:40:21Z | - |
dc.date.issued | 2001 | - |
dc.identifier.citation | European Journal of Heart Failure, 2001, v. 3 n. 3, p. 271-281 | - |
dc.identifier.issn | 1388-9842 | - |
dc.identifier.uri | http://hdl.handle.net/10722/195250 | - |
dc.description.abstract | The development of cardiovascular diseases such as heart failure involve functional changes that are beneficial short-term, but may be fatal long-term. Current therapeutic approaches are tailored to limit progression of a disease and to maintain quality of life. At a molecular level, these disease processes involve quantitative and qualitative changes in gene expression. Although some changes in mRNA abundance may not have direct protein correlates, analysis of all the mRNAs present in a cell population (the cells transcriptome) has become a focal point of genomic research. The aim is to provide information about the dynamics of total genome expression in response to environmental changes and point to candidate genes responsible for the cascade of events that result in a disease state. One way of performing these analyses utilizes the technique of Serial Analysis of Gene Expression (SAGE). This method evaluates thousands of expressed transcripts both quantitatively and qualitatively in a single assay. In the first of two reviews on transcriptome analysis, we describe the current state of genomic research for determination of the transcriptome by Serial Analysis of Gene Expression, present the first limited SAGE analysis of rodent heart gene expression, and discuss how results generated with this approach can be applied to the study and treatment of cardiovascular diseases. Published by Elsevier Science Ireland ltd on behalf of European Society of Cardiology. | - |
dc.language | eng | - |
dc.relation.ispartof | European Journal of Heart Failure | - |
dc.subject | Heart Failure | - |
dc.subject | Human | - |
dc.subject | Rodent | - |
dc.subject | SAGE | - |
dc.subject | Transcriptome | - |
dc.title | Discovering altered genomic expression patterns in heart: Transcriptome determination by serial analysis of gene expression | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/S1388-9842(01)00131-3 | - |
dc.identifier.pmid | 11377997 | - |
dc.identifier.scopus | eid_2-s2.0-0034837744 | - |
dc.identifier.volume | 3 | - |
dc.identifier.issue | 3 | - |
dc.identifier.spage | 271 | - |
dc.identifier.epage | 281 | - |
dc.identifier.isi | WOS:000169189700002 | - |
dc.identifier.issnl | 1388-9842 | - |