The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Limitations and possibilities of small RNA digital gene expression profiling
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Citations
Cites
Diversity of microRNAs in human and chimpanzee brain
Berezikov, E., Thuemmler, F., van Laake, L. W., Kondova, I., Bontrop, R., Cuppen, E., & Plasterk, R. H. A. (2006) · Nature Genetics · doi:10.1038/ng1914 · Cited by 502
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Cited by
RNA sequencing: advances, challenges and opportunities
Ozsolak, F., & Milos, P. M. (2011) · Nature Reviews Genetics · doi:10.1038/nrg2934 · Cited by 2,135
“It has recently become clear that, although the NGS-based sRNA-profiling approaches can be used for differential expression analyses, the number of reads obtained per sRNA does not necessarily correlate with their actual abundanc”
BackgroundMicroRNA profiling: approaches and considerations
Pritchard, C. C., Cheng, H. H., & Tewari, M. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3198 · Cited by 1,765
Self-citationComprehensive comparative analysis of strand-specific RNA sequencing methods
Levin, J. Z., Yassour, M., Adiconis, X., Nusbaum, C., Thompson, D. A., Friedman, N., Gnirke, A., & Regev, A. (2010) · Nature Methods · doi:10.1038/nmeth.1491 · Cited by 753
Git, A., Dvinge, H., Salmon-Divon, M., Osborne, M., Kutter, C., Hadfield, J., Bertone, P., & Caldas, C. (2010) · RNA · doi:10.1261/rna.1947110 · Cited by 689
MicroRNAs and their isomiRs function cooperatively to target common biological pathways
Cloonan, N., Wani, S., Xu, Q., Gu, J., Lea, K., Heater, S., Barbacioru, C., Steptoe, A. L., Martin, H. C., Nourbakhsh, E., et al. (2011) · Genome Biology · doi:10.1186/gb-2011-12-12-r126 · Cited by 345
Self-citationRNA-ligase-dependent biases in miRNA representation in deep-sequenced small RNA cDNA libraries
Hafner, M., Renwick, N., Brown, M., Mihailović, A., Holoch, D., Lin, C., Pena, J. T. G., Nusbaum, J. D., Morozov, P., Ludwig, J., et al. (2011) · RNA · doi:10.1261/rna.2799511 · Cited by 320
Neuroscience in the era of functional genomics and systems biology
Geschwind, D. H., & Konopka, G. (2009) · Nature · doi:10.1038/nature08537 · Cited by 213
Dynamic isomiR regulation in Drosophila development
Fernandez-Valverde, S. L., Taft, R. J., & Mattick, J. S. (2010) · RNA · doi:10.1261/rna.2379610 · Cited by 208
Comprehensive multi-center assessment of small RNA-seq methods for quantitative miRNA profiling
Giraldez, M. D., Spengler, R. M., Etheridge, A., Godoy, P. M., Barczak, A. J., Srinivasan, S., De Hoff, P. L., Tanriverdi, K., Courtright, A., Lu, S., et al. (2018) · Nature Biotechnology · doi:10.1038/nbt.4183 · Cited by 177
Self-citationMicroRNAs as biomarkers for CNS disease
Rao, P., Benito, E., & Fischer, A. (2013) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2013.00039 · Cited by 171
Comprehensive survey of human brain microRNA by deep sequencing
Shao, N.-Y., Hu, H. Y., Yan, Z., Xu, Y., Hu, H., Menzel, C., Li, N., Chen, W., & Khaitovich, P. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-409 · Cited by 131
Baran-Gale, J., Kurtz, C. L., Erdos, M. R., Sison, C., Young, A., Fannin, E. E., Chines, P. S., & Sethupathy, P. (2015) · Frontiers in Genetics · doi:10.3389/fgene.2015.00352 · Cited by 120
Wright, C., Rajpurohit, A., Burke, E. E., Williams, C., Collado-Torres, L., Kimos, M., Brandon, N. J., Cross, A. J., Jaffe, A. E., Weinberger, D. R., et al. (2019) · BMC Genomics · doi:10.1186/s12864-019-5870-3 · Cited by 99
Genetic regulation of human adipose microRNA expression and its consequences for metabolic traits
Civelek, M., Hagopian, R., Pan, C., Che, N., Yang, W.-P., Kayne, P. S., Saleem, N. K., Cederberg, H., Kuusisto, J., Gargalovic, P. S., et al. (2013) · Human Molecular Genetics · doi:10.1093/hmg/ddt159 · Cited by 89
Azzouzi, I., Moest, H., Wollscheid, B., Schmugge, M., Eekels, J. J. M., & Speer, O. (2015) · Experimental Hematology · doi:10.1016/j.exphem.2015.01.007 · Cited by 39
Giraldez, M., Spengler, R., Etheridge, A., Godoy, P., Barczak, A., Srinivasan, S., De Hoff, P., Tanriverdi, K., Courtright, A., Lu, S., et al. (2017) · doi:10.1101/113050 · Cited by 5
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Metadata
- Authors
- Linsen, S. E. V., de Wit, E., Janssens, G., Heater, S., Chapman, L., Parkin, R. K., Fritz, B., Wyman, S. K., de Bruijn, E., Voest, E. E., Kuersten, S., Tewari, M., & Cuppen, E.
- Venue
- Nature Methods
- Published
- 2009-07
- Volume
- 6
- Issue
- 7
- Pages
- 474-476
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W1996542013
- Cited by
- 288
- References
- 1
- FWCI
- 13.20
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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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.
