The DOI matches its Crossref record.
Microarray gene expression profiles in dilated and hypertrophic cardiomyopathic end-stage heart failure
Abstract
Despite similar clinical endpoints, heart failure resulting from dilated cardiomyopathy (DCM) or hypertrophic cardiomyopathy (HCM) appears to develop through different remodeling and molecular pathways. Current understanding of heart failure has been facilitated by microarray technology. We constructed an in-house spotted cDNA microarray using 10,272 unique clones from various cardiovascular cDNA libraries sequenced and annotated in our laboratory. RNA samples were obtained from left ventricular tissues of precardiac transplantation DCM and HCM patients and were hybridized against normal adult heart reference RNA. After filtering, differentially expressed genes were determined using novel analyzing software. We demonstrated that normalization for cDNA microarray data is slide-dependent and nonlinear. The feasibility of this model was validated by quantitative real-time reverse transcription-PCR, and the accuracy rate depended on the fold change and statistical significance level. Our results showed that 192 genes were highly expressed in both DCM and HCM (e.g., atrial natriuretic peptide, CD59, decorin, elongation factor 2, and heat shock protein 90), and 51 genes were downregulated in both conditions (e.g., elastin, sarcoplasmic/endoplasmic reticulum Ca 2+-ATPase). We also identified several genes differentially expressed between DCM and HCM (e.g., αB-crystallin, antagonizer of myc transcriptional activity, β-dystrobrevin, calsequestrin, lipocortin, and lumican). Microarray technology provides us with a genomic approach to explore the genetic markers and molecular mechanisms leading to heart failure.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Biomarkers of Cardiovascular Disease: Molecular Basis and Practical Considerations
Vasan, R. S. (2006) · Circulation · doi:10.1161/circulationaha.104.482570 · Cited by 1,212
Bernardo, B. C., Weeks, K. L., Pretorius, L., & McMullen, J. R. (2010) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2010.04.005 · Cited by 894
Bos, J. M., Towbin, J. A., & Ackerman, M. J. (2009) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2009.02.075 · Cited by 396
Myocardial Extracellular Matrix: An Ever-Changing and Diverse Entity
Rienks, M., Papageorgiou, A.-P., Frangogiannis, N. G., & Heymans, S. (2014) · Circulation Research · doi:10.1161/circresaha.114.302533 · Cited by 366
Berdougo, E., Coleman, H., Lee, D. H., Stainier, D. Y. R., & Yelon, D. (2003) · Development · doi:10.1242/dev.00838 · Cited by 261
Metadata
- Authors
- Hwang, J.-J., Allen, P. D., Tseng, G. C., Lam, C.-W., Fananapazir, L., Dzau, V. J., & Liew, C.-C.
- Venue
- Physiological Genomics
- Publisher
- American Physiological Society
- Published
- 2002-07-12
- Volume
- 10
- Issue
- 1
- Pages
- 31-44
- ISSN
- 1094-8341 (ISSN-L)
- 1531-2267
- OpenAlex
- W2153340607
- Cited by
- 228
- References
- 0
- FWCI
- 14.53
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Microarray gene expression profiles in dilated and hypertrophic cardiomyopathic end-stage heart failure. https://app.cochat.ai/papers/10.1152/physiolgenomics.00122.2001
- The paper
- Hwang, J.-J., Allen, P. D., Tseng, G. C., Lam, C.-W., Fananapazir, L., Dzau, V. J., & Liew, C.-C. (2002). Microarray gene expression profiles in dilated and hypertrophic cardiomyopathic end-stage heart failure. Physiological Genomics. https://doi.org/10.1152/physiolgenomics.00122.2001
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.