The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
PhenomiR: a knowledgebase for microRNA expression in diseases and biological processes
Open accessAbstract
In recent years, microRNAs have been shown to play important roles in physiological as well as malignant processes. The PhenomiR database http://mips.helmholtz-muenchen.de/phenomir provides data from 542 studies that investigate deregulation of microRNA expression in diseases and biological processes as a systematic, manually curated resource. Using the PhenomiR dataset, we could demonstrate that, depending on disease type, independent information from cell culture studies contrasts with conclusions drawn from patient studies.
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Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206
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
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
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
Prediction of Mammalian MicroRNA Targets
Lewis, B. P., Shih, I.-H., Jones-Rhoades, M. W., Bartel, D. P., & Burge, C. B. (2003) · Cell · doi:10.1016/s0092-8674(03)01018-3 · Cited by 5,199
Combinatorial microRNA target predictions
Krek, A., Grün, D., Poy, M. N., Wolf, R., Rosenberg, L., Epstein, E. J., MacMenamin, P., da Piedade, I., Gunsalus, K. C., Stoffel, M., et al. (2005) · Nature Genetics · doi:10.1038/ng1536 · Cited by 4,603
miRBase: tools for microRNA genomics
Griffiths-Jones, S., Saini, H. K., van Dongen, S., & Enright, A. J. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm952 · Cited by 4,382
A Mammalian microRNA Expression Atlas Based on Small RNA Library Sequencing
Landgraf, P., Rusu, M., Sheridan, R., Sewer, A., Iovino, N., Aravin, A., Pfeffer, S., Rice, A., Kamphorst, A. O., Landthaler, M., et al. (2007) · Cell · doi:10.1016/j.cell.2007.04.040 · Cited by 3,626
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
MicroRNAs Modulate Hematopoietic Lineage Differentiation
Chen, C.-Z., Li, L., Lodish, H. F., & Bartel, D. P. (2004) · Science · doi:10.1126/science.1091903 · Cited by 3,257
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HMDD v2.0: a database for experimentally supported human microRNA and disease associations
Li, Y., Qiu, C., Tu, J., Geng, B., Yang, J., Jiang, T., & Cui, Q. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1023 · Cited by 1,160
Dhahbi, J. M., Spindler, S. R., Atamna, H., Yamakawa, A., Guerrero, N., Boffelli, D., Mote, P., & Martin, D. I. (2013) · Aging · doi:10.18632/aging.100540 · Cited by 75
Rinck, A., Preusse, M., Laggerbauer, B., Lickert, H., Engelhardt, S., & Theis, F. J. (2013) · RNA Biology · doi:10.4161/rna.24955 · Cited by 40
Self-citationNovel BDNF-regulatory microRNAs in neurodegenerative disorders pathogenesis: An in silico study
Khani-Habibabadi, F., Askari, S., Zahiri, J., Javan, M., & Behmanesh, M. (2019) · Computational Biology and Chemistry · doi:10.1016/j.compbiolchem.2019.107153 · Cited by 18
emiRIT: a text-mining-based resource for microRNA information
Roychowdhury, D., Gupta, S., Qin, X., Arighi, C. N., & Vijay-Shanker, K. (2021) · Database · doi:10.1093/database/baab031 · Cited by 15
Metadata
- Authors
- Ruepp, A., Kowarsch, A., Schmidl, D., Buggenthin, F., Brauner, B., Dunger, I., Fobo, G., Frishman, G., Montrone, C., & Theis, F. J.
- Venue
- Genome Biology
- Published
- 2010-01-20
- Volume
- 11
- Issue
- 1
- Pages
- R6-R6
- ISSN
- 1465-6906 (ISSN-L)
- 1474-760X
- OpenAlex
- W2153210075
- Cited by
- 284
- References
- 40
- FWCI
- 4.79
- Type
- journal article
- Language
- en
- Open access
- gold
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- Ruepp, A., Kowarsch, A., Schmidl, D., Buggenthin, F., Brauner, B., Dunger, I., Fobo, G., Frishman, G., Montrone, C., & Theis, F. J. (2010). PhenomiR: a knowledgebase for microRNA expression in diseases and biological processes. Genome Biology. https://doi.org/10.1186/gb-2010-11-1-r6
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