The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Altered microRNA expression in human heart disease
Open accessAbstract
MicroRNAs are recently discovered regulators of gene expression and are becoming increasingly recognized as important regulators of heart function. Genome-wide profiling of microRNAs in human heart failure has not been reported previously. We measured expression of 428 microRNAs in 67 human left ventricular samples belonging to control ( n = 10), ischemic cardiomyopathy (ICM, n = 19), dilated cardiomyopathy (DCM, n = 25), or aortic stenosis (AS, n = 13) diagnostic groups. miRNA expression between disease and control groups was compared by ANOVA with Dunnett's post hoc test. We controlled for multiple testing by estimating the false discovery rate. Out of 428 microRNAs measured, 87 were confidently detected; 43 were differentially expressed in at least one disease group. In supervised clustering, microRNA expression profiles correctly grouped samples by their clinical diagnosis, indicating that microRNA expression profiles are distinct between diagnostic groups. This was further supported by class prediction approaches, in which the class (control, ICM, DCM, AS) predicted by a microRNA-based classifier matched the clinical diagnosis 69% of the time ( P < 0.001). These data show that expression of many microRNAs is altered in heart disease and that different types of heart disease are associated with distinct changes in microRNA expression. These data will guide further studies of the contribution of microRNAs to heart disease pathogenesis.
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
Cites
Cortes, C., & Vapnik, V. (1995) · Machine Learning · doi:10.1007/bf00994018 · Cited by 59,421
Bartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714
Modern Applied Statistics with S
Venables, W. N., & Ripley, B. D. (2002) · Statistics and Computing · doi:10.1007/978-0-387-21706-2 · Cited by 24,305
Golub, T. R., Slonim, D. K., Tamayo, P., Huard, C., Gaasenbeek, M., Mesirov, J. P., Coller, H., Loh, M. L., Downing, J. R., Caligiuri, M. A., et al. (1999) · Science · doi:10.1126/science.286.5439.531 · Cited by 11,516
Self-citationIn silico prediction of protein-protein interactions in human macrophages
Souiai, O., Guerfali, F., Ben Miled, S., Brun, C., & Benkahla, A. (2014) · BMC Research Notes · doi:10.1186/1756-0500-7-157 · Cited by 10,803
The functions of animal microRNAs
Ambros, V. (2004) · Nature · doi:10.1038/nature02871 · Cited by 10,728
Significance analysis of microarrays applied to the ionizing radiation response
Tusher, V. G., Tibshirani, R., & Chu, G. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.091062498 · Cited by 10,568
MicroRNA expression profiles classify human cancers
Lu, J., Getz, G., Miska, E. A., Alvarez-Saavedra, E., Lamb, J., Peck, D., Sweet-Cordero, A., Ebert, B. L., Mak, R. H., Ferrando, A. A., et al. (2005) · Nature · doi:10.1038/nature03702 · Cited by 9,539
Self-citationIdentification of tissue-specific microRNAs from mouse
Lagos-Quintana, M., Rauhut, R., Yalcin, A., Meyer, J., Lendeckel, W., & Tuschl, T. (2002) · Current Biology · doi:10.1016/s0960-9822(02)00809-6 · Cited by 3,355
The role of microRNA-1 and microRNA-133 in skeletal muscle proliferation and differentiation
Chen, J.-F., Mandel, E. M., Thomson, J. M., Wu, Q., Callis, T. E., Hammond, S. M., Conlon, F. L., & Wang, D.-Z. (2006) · Nature Genetics · doi:10.1038/ng1725 · Cited by 2,779
Cited by
Pervasive roles of microRNAs in cardiovascular biology
Small, E. M., & Olson, E. N. (2011) · Nature · doi:10.1038/nature09783 · Cited by 1,180
Functional screening identifies miRNAs inducing cardiac regeneration
Eulalio, A., Mano, M., Ferro, M. D., Zentilin, L., Sinagra, G., Zacchigna, S., & Giacca, M. (2012) · Nature · doi:10.1038/nature11739 · Cited by 1,029
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
MicroRNA therapeutics for cardiovascular disease: opportunities and obstacles
van Rooij, E., & Olson, E. N. (2012) · Nature Reviews Drug Discovery · doi:10.1038/nrd3864 · Cited by 624
MicroRNAs and immunity: Novel players in the regulation of normal immune function and inflammation
Sonkoly, E., Ståhle, M., & Pivarcsi, A. (2008) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2008.01.005 · Cited by 523
Metadata
- Authors
- Ikeda, S., Kong, S. W., Lu, J., Bisping, E., Zhang, H., Allen, P. D., Golub, T. R., Pieske, B., & Pu, W. T.
- Venue
- Physiological Genomics
- Publisher
- American Physiological Society
- Published
- 2007-11
- Volume
- 31
- Issue
- 3
- Pages
- 367-373
- ISSN
- 1094-8341 (ISSN-L)
- 1531-2267
- OpenAlex
- W2107387191
- Cited by
- 616
- References
- 25
- FWCI
- 12.11
- Type
- journal article
- Language
- en
- Open access
- green
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: Altered microRNA expression in human heart disease. https://app.cochat.ai/papers/10.1152/physiolgenomics.00144.2007
- The paper
- Ikeda, S., Kong, S. W., Lu, J., Bisping, E., Zhang, H., Allen, P. D., Golub, T. R., Pieske, B., & Pu, W. T. (2007). Altered microRNA expression in human heart disease. Physiological Genomics. https://doi.org/10.1152/physiolgenomics.00144.2007
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.