The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Platelet microRNA-mRNA coexpression profiles correlate with platelet reactivity
Open accessAbstract
MicroRNAs (miRNAs) regulate cell physiology by altering protein expression, but the biology of platelet miRNAs is largely unexplored. We tested whether platelet miRNA levels were associated with platelet reactivity by genome-wide profiling using platelet RNA from 19 healthy subjects. We found that human platelets express 284 miRNAs. Unsupervised hierarchical clustering of miRNA profiles resulted in 2 groups of subjects that appeared to cluster by platelet aggregation phenotypes. Seventy-four miRNAs were differentially expressed (DE) between subjects grouped according to platelet aggregation to epinephrine, a subset of which predicted the platelet reactivity response. Using whole genome mRNA expression data on these same subjects, we computationally generated a high-priority list of miRNA-mRNA pairs in which the DE platelet miRNAs had binding sites in 3′-untranslated regions of DE mRNAs, and the levels were negatively correlated. Three miRNA-mRNA pairs (miR-200b:PRKAR2B, miR-495:KLHL5, and miR-107:CLOCK) were selected from this list, and all 3 miRNAs knocked down protein expression from the target mRNA. Reduced activation from platelets lacking PRKAR2B supported these findings. In summary, (1) platelet miRNAs are able to repress expression of platelet proteins, (2) miRNA profiles are associated with and may predict platelet reactivity, and (3) bioinformatic approaches can successfully identify functional miRNAs in platelets.
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Cites
MicroRNAs: Target Recognition and Regulatory Functions
Bartel, D. P. (2009) · Cell · doi:10.1016/j.cell.2009.01.002 · Cited by 20,068
Cluster analysis and display of genome-wide expression patterns
Eisen, M. B., Spellman, P. T., Brown, P. O., & Botstein, D. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.25.14863 · Cited by 16,184
Most mammalian mRNAs are conserved targets of microRNAs
Friedman, R. C., Farh, K. K.-H., Burge, C. B., & Bartel, D. P. (2009) · Genome Research · doi:10.1101/gr.082701.108 · Cited by 8,462
Mammalian microRNAs predominantly act to decrease target mRNA levels
Guo, H., Ingolia, N. T., Weissman, J. S., & Bartel, D. P. (2010) · Nature · doi:10.1038/nature09267 · Cited by 3,886
The impact of microRNAs on protein output
Baek, D., Villén, J., Shin, C., Camargo, F. D., Gygi, S. P., & Bartel, D. P. (2008) · Nature · doi:10.1038/nature07242 · Cited by 3,592
Garzon, R., Calin, G. A., & Croce, C. M. (2009) · Annual Review of Medicine · doi:10.1146/annurev.med.59.053006.104707 · Cited by 1,770
Detection of microRNA Expression in Human Peripheral Blood Microvesicles
Hunter, M. P., Ismail, N., Zhang, X., Aguda, B. D., Lee, E. J., Yu, L., Xiao, T., Schafer, J., Lee, M.-L. T., Schmittgen, T. D., et al. (2008) · PLoS ONE · doi:10.1371/journal.pone.0003694 · Cited by 1,452
Tofler, G. H., Brezinski, D., Schafer, A. I., Czeisler, C. A., Rutherford, J. D., Willich, S. N., Gleason, R. E., Williams, G. H., & Muller, J. E. (1987) · New England Journal of Medicine · doi:10.1056/nejm198706113162405 · Cited by 1,072
Design issues for cDNA microarray experiments
Yang, Y. H., & Speed, T. (2002) · Nature Reviews Genetics · doi:10.1038/nrg863 · Cited by 795
Cummins, J. M., He, Y., Leary, R. J., Pagliarini, R., Diaz, L. A., Sjoblom, T., Barad, O., Bentwich, Z., Szafranska, A. E., Labourier, E., et al. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0511155103 · Cited by 744
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Bray, P. F., McKenzie, S. E., Edelstein, L. C., Nagalla, S., Delgrosso, K., Ertel, A., Kupper, J., Jing, Y., Londin, E., Loher, P., et al. (2013) · BMC Genomics · doi:10.1186/1471-2164-14-1 · Cited by 802
Self-citationProspective Study on Circulating MicroRNAs and Risk of Myocardial Infarction
Zampetaki, A., Willeit, P., Tilling, L., Drozdov, I., Prokopi, M., Renard, J.-M., Mayr, A., Weger, S., Schett, G., Shah, A., et al. (2012) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2012.03.056 · Cited by 464
Laffont, B., Corduan, A., Plé, H., Duchez, A.-C., Cloutier, N., Boilard, E., & Provost, P. (2013) · Blood · doi:10.1182/blood-2013-03-492801 · Cited by 444
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Cheng, H. H., Yi, H. S., Kim, Y., Kroh, E. M., Chien, J. W., Eaton, K. D., Goodman, M. T., Tait, J. F., Tewari, M., & Pritchard, C. C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0064795 · Cited by 317
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Metadata
- Authors
- Nagalla, S., Shaw, C., Kong, X., Kondkar, A. A., Edelstein, L. C., Ma, L., Chen, J., McKnight, G. S., López, J. A., Yang, L., Jin, Y., Bray, M. S., Leal, S. M., Dong, J.-F., & Bray, P. F.
- Venue
- Blood
- Publisher
- American Society of Hematology
- Published
- 2011-05-12
- Volume
- 117
- Issue
- 19
- Pages
- 5189-5197
- ISSN
- 0006-4971 (ISSN-L)
- 1528-0020
- OpenAlex
- W2068252527
- Cited by
- 329
- References
- 42
- FWCI
- 15.28
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Nagalla, S., Shaw, C., Kong, X., Kondkar, A. A., Edelstein, L. C., Ma, L., Chen, J., McKnight, G. S., López, J. A., Yang, L., Jin, Y., Bray, M. S., Leal, S. M., Dong, J.-F., & Bray, P. F. (2011). Platelet microRNA-mRNA coexpression profiles correlate with platelet reactivity. Blood. https://doi.org/10.1182/blood-2010-09-299719
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