The DOI matches its Crossref record; 104 of the 104 references it cites were found in a registry or an index.
RNAi screening comes of age: improved techniques and complementary approaches
Open accessAbstract
Gene silencing through sequence-specific targeting of mRNAs by RNAi has enabled genome-wide functional screens in cultured cells and in vivo in model organisms. These screens have resulted in the identification of new cellular pathways and potential drug targets. Considerable progress has been made to improve the quality of RNAi screen data through the development of new experimental and bioinformatics approaches. The recent availability of genome-editing strategies, such as the CRISPR (clustered regularly interspaced short palindromic repeats)–Cas9 system, when combined with RNAi, could lead to further improvements in screen data quality and follow-up experiments, thus promoting our understanding of gene function and gene regulatory networks.
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Cites
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890
Bartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714
MicroRNAs: small RNAs with a big role in gene regulation
He, L., & Hannon, G. J. (2004) · Nature Reviews Genetics · doi:10.1038/nrg1379 · Cited by 7,118
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
ZFN, TALEN, and CRISPR/Cas-based methods for genome engineering
Gaj, T., Gersbach, C. A., & Barbas, C. F. (2013) · Trends in Biotechnology · doi:10.1016/j.tibtech.2013.04.004 · Cited by 3,820
Wang, H., Yang, H., Shivalila, C. S., Dawlaty, M. M., Cheng, A. W., Zhang, F., & Jaenisch, R. (2013) · Cell · doi:10.1016/j.cell.2013.04.025 · Cited by 3,495
Knocking down barriers: advances in siRNA delivery
Whitehead, K. A., Langer, R., & Anderson, D. G. (2009) · Nature Reviews Drug Discovery · doi:10.1038/nrd2742 · Cited by 3,115
Genetic 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
Long noncoding RNAs: past, present, and future
Kung, J. T. Y., Colognori, D., & Lee, J. T. (2013) · Genetics · doi:10.1534/genetics.112.146704 · Cited by 1,874
RNAi screen identifies Brd4 as a therapeutic target in acute myeloid leukaemia
Zuber, J., Shi, J., Wang, E., Rappaport, A. R., Herrmann, H., Sison, E. A., Magoon, D., Qi, J., Blatt, K., Wunderlich, M., et al. (2011) · Nature · doi:10.1038/nature10334 · Cited by 1,870
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A view on drug resistance in cancer
Vasan, N., Baselga, J., & Hyman, D. M. (2019) · Nature · doi:10.1038/s41586-019-1730-1 · Cited by 2,770
High-throughput functional genomics using CRISPR-Cas9
Shalem, O., Sanjana, N. E., & Zhang, F. (2015) · Nature Reviews Genetics · doi:10.1038/nrg3899 · Cited by 1,233
Beyond editing: repurposing CRISPR-Cas9 for precision genome regulation and interrogation
Dominguez, A. A., Lim, W. A., & Qi, L. S. (2016) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2015.2 · Cited by 832
Combine and conquer: challenges for targeted therapy combinations in early phase trials
Lopez, J. S., & Banerji, U. (2017) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2016.96 · Cited by 394
On the design of CRISPR-based single-cell molecular screens
Hill, A. J., McFaline-Figueroa, J. L., Starita, L. M., Gasperini, M. J., Matreyek, K. A., Packer, J., Jackson, D., Shendure, J., & Trapnell, C. (2018) · Nature Methods · doi:10.1038/nmeth.4604 · Cited by 262
Metadata
- Authors
- Mohr, S. E., Smith, J. A., Shamu, C. E., Neumüller, R. A., & Perrimon, N.
- Venue
- Nature Reviews Molecular Cell Biology
- Published
- 2014-08-22
- Volume
- 15
- Issue
- 9
- Pages
- 591-600
- ISSN
- 1471-0072 (ISSN-L)
- 1471-0080
- OpenAlex
- W1984821034
- Cited by
- 332
- References
- 104
- FWCI
- 3.18
- Type
- journal article
- Language
- en
- Open access
- green
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- Mohr, S. E., Smith, J. A., Shamu, C. E., Neumüller, R. A., & Perrimon, N. (2014). RNAi screening comes of age: improved techniques and complementary approaches. Nature Reviews Molecular Cell Biology. https://doi.org/10.1038/nrm3860
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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