The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Normalization of circulating microRNA expression data obtained by quantitative real-time RT-PCR
Open accessAbstract
The high-throughput analysis of microRNAs (miRNAs) circulating within the blood of healthy and diseased individuals is an active area of biomarker research. Whereas quantitative real-time reverse transcription polymerase chain reaction (qPCR)-based methods are widely used, it is yet unresolved how the data should be normalized. Here, we show that a combination of different algorithms results in the identification of candidate reference miRNAs that can be exploited as normalizers, in both discovery and validation phases. Using the methodology considered here, we identify normalizers that are able to reduce nonbiological variation in the data and we present several case studies, to illustrate the relevance in the context of physiological or pathological scenarios. In conclusion, the discovery of stable reference miRNAs from high-throughput studies allows appropriate normalization of focused qPCR assays.
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1 retracted
RETRACTED: MicroRNA signatures of tumor-derived exosomes as diagnostic biomarkers of ovarian cancer
Taylor, D. D., & Gercel-Taylor, C. (2008) · Gynecologic Oncology · doi:10.1016/j.ygyno.2008.04.033 · Cited by 2,288
RetractedVandesompele, J., De Preter, K., Pattyn, F., Poppe, B., Van Roy, N., De Paepe, A., & Speleman, F. (2002) · Genome Biology · doi:10.1186/gb-2002-3-7-research0034 · Cited by 20,038
The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments
Bustin, S. A., Benes, V., Garson, J. A., Hellemans, J., Huggett, J., Kubista, M., Mueller, R., Nolan, T., Pfaffl, M. W., Shipley, G. L., et al. (2009) · Clinical Chemistry · doi:10.1373/clinchem.2008.112797 · Cited by 16,303
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
Adjusting batch effects in microarray expression data using empirical Bayes methods
Johnson, W. E., Li, C., & Rabinovic, A. (2007) · Biostatistics · doi:10.1093/biostatistics/kxj037 · Cited by 8,658
Bolstad, B. M., Irizarry, R. A., Åstrand, M., & Speed, T. P. (2003) · Bioinformatics · doi:10.1093/bioinformatics/19.2.185 · Cited by 8,266
Circulating microRNAs as stable blood-based markers for cancer detection
Mitchell, P. S., Parkin, R. K., Kroh, E. M., Fritz, B. R., Wyman, S. K., Pogosova-Agadjanyan, E. L., Peterson, A., Noteboom, J., O'Briant, K. C., Allen, A., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0804549105 · Cited by 7,969
Andersen, C. L., Jensen, J. L., & Ørntoft, T. F. (2004) · Cancer Research · doi:10.1158/0008-5472.can-04-0496 · Cited by 7,127
A microRNA expression signature of human solid tumors defines cancer gene targets
Volinia, S., Calin, G. A., Liu, C.-G., Ambs, S., Cimmino, A., Petrocca, F., Visone, R., Iorio, M., Roldo, C., Ferracin, M., et al. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0510565103 · Cited by 5,697
Pfaffl, M. W., Tichopad, A., Prgomet, C., & Neuvians, T. P. (2004) · Biotechnology Letters · doi:10.1023/b:bile.0000019559.84305.47 · Cited by 5,065
Cited by
Mateescu, B., Kowal, E. J. K., van Balkom, B. W. M., Bartel, S., Bhattacharyya, S. N., Buzás, E. I., Buck, A. H., de Candia, P., Chow, F. W. N., Das, S., et al. (2017) · Journal of Extracellular Vesicles · doi:10.1080/20013078.2017.1286095 · Cited by 720
Self-citationCaveolin-1 selectively regulates microRNA sorting into microvesicles after noxious stimuli
Lee, H., Li, C., Zhang, Y., Zhang, D., Otterbein, L. E., & Jin, Y. (2019) · Journal of Experimental Medicine · doi:10.1084/jem.20182313 · Cited by 219
Garavelli, S., Bruzzaniti, S., Tagliabue, E., Di Silvestre, D., Prattichizzo, F., Mozzillo, E., Fattorusso, V., La Sala, L., Ceriello, A., Puca, A. A., et al. (2020) · Diabetologia · doi:10.1007/s00125-020-05237-x · Cited by 37
Angelini, F., Pagano, F., Bordin, A., Picchio, V., De Falco, E., & Chimenti, I. (2017) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2017.00062 · Cited by 25
Restraint Stress in Mice Alters Set of 25 miRNAs Which Regulate Stress- and Depression-Related mRNAs
Solich, J., Kuśmider, M., Faron-Górecka, A., Pabian, P., & Dziedzicka-Wasylewska, M. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21249469 · Cited by 13
Metadata
- Authors
- Marabita, F., de Candia, P., Torri, A., Tegnér, J., Abrignani, S., & Rossi, R. L.
- Venue
- Briefings in Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-08-03
- Volume
- 17
- Issue
- 2
- Pages
- 204-212
- ISSN
- 1467-5463 (ISSN-L)
- 1477-4054
- OpenAlex
- W2267454507
- Cited by
- 266
- References
- 57
- FWCI
- 11.06
- Type
- journal article
- Language
- en
- Open access
- green
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