The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Minimizing the risk of reporting false positives in large-scale RNAi screens
Open accessAbstract
Large-scale RNA interference (RNAi)-based analyses, very much as other 'omic' approaches, have inherent rates of false positives and negatives. The variability in the standards of care applied to validate results from these studies, if left unchecked, could eventually begin to undermine the credibility of RNAi as a powerful functional approach. This Commentary is an invitation to an open discussion started among various users of RNAi to set forth accepted standards that would insure the quality and accuracy of information in the large datasets coming out of genome-scale screens. Please visit methagora to view and post comments on this article
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Cites
Expression profiling reveals off-target gene regulation by RNAi
Jackson, A. L., Bartz, S. R., Schelter, J., Kobayashi, S. V., Burchard, J., Mao, M., Li, B., Cavet, G., & Linsley, P. S. (2003) · Nature Biotechnology · doi:10.1038/nbt831 · Cited by 2,370
Self-citation3′ UTR seed matches, but not overall identity, are associated with RNAi off-targets
Birmingham, A., Anderson, E. M., Reynolds, A., Ilsley-Tyree, D., Leake, D., Fedorov, Y., Baskerville, S., Maksimova, E., Robinson, K., Karpilow, J., et al. (2006) · Nature Methods · doi:10.1038/nmeth854 · Cited by 920
High-throughput RNAi screening in cultured cells: a user's guide
Echeverri, C. J., & Perrimon, N. (2006) · Nature Reviews Genetics · doi:10.1038/nrg1836 · Cited by 380
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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
Genome-scale CRISPR-Cas9 knockout screening in human cells
Shalem, O., Sanjana, N. E., Hartenian, E., Shi, X., Scott, D. A., Mikkelsen, T. S., Heckl, D., Ebert, B. L., Root, D. E., Doench, J. G., et al. (2014) · Science · doi:10.1126/science.1247005 · Cited by 5,234
Self-citationGenetic screens in human cells using the CRISPR-Cas9 system
Wang, T., Wei, J. J., Sabatini, D. M., & Lander, E. S. (2014) · Science · doi:10.1126/science.1246981 · Cited by 2,856
Self-citationHigh-Resolution CRISPR Screens Reveal Fitness Genes and Genotype-Specific Cancer Liabilities.
Hart, T., Chandrashekhar, M., Aregger, M., Steinhart, Z., Brown, K. R., MacLeod, G., Mis, M., Zimmermann, M., Fradet-Turcotte, A., Sun, S., et al. (2015) · Cell · doi:10.1016/j.cell.2015.11.015 · Cited by 1,571
Jackson, A. L., & Linsley, P. S. (2010) · Nature Reviews Drug Discovery · doi:10.1038/nrd3010 · Cited by 1,083
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Metadata
- Authors
- Echeverri, C. J., Beachy, P. A., Baum, B., Boutros, M., Buchholz, F., Chanda, S. K., Downward, J., Ellenberg, J., Fraser, A. G., Hacohen, N., Hahn, W. C., Jackson, A. L., Kiger, A., Linsley, P. S., Lum, L., Ma, Y., Mathey-Prévôt, B., Root, D. E., Sabatini, D. M., Taipale, J., Perrimon, N., & Bernards, R.
- Venue
- Nature Methods
- Published
- 2006-10
- Volume
- 3
- Issue
- 10
- Pages
- 777-779
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W2121665844
- Cited by
- 421
- References
- 3
- FWCI
- 13.02
- Type
- journal article
- Language
- en
- Open access
- green
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