The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
A split-Cas9 architecture for inducible genome editing and transcription modulation
Open accessAbstract
1Department of Oncology-Pathology, Science for Life Laboratory, Karolinska Institute, Stockholm, Sweden. 2Bioinformatics Infrastructure for Life Sciences (BILS), Stockholm, Sweden. 3Minnesota Supercomputing Institute, University of Minnesota, Minneapolis, USA. 4Department of Biochemistry, La Trobe Institute for Molecular Science, La Trobe University, Melbourne, Australia. 5Life Sciences Computation Centre, Victorian Life Sciences Computation Initiative, Melbourne, Australia. 6Analytical Biochemistry, Department of Pharmacy, University of Groningen, Groningen, The Netherlands. 7Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, USA. 8School of Biotechnology, Science for Life Laboratory, Royal Institute of Technology KTH, Stockholm, Sweden. 9Plant Research International, Wageningen University and Research Center, Wageningen, The Netherlands. 10Bioinformatics Laboratory, Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, studies. Given the one constant across all the omics fields—that technologies and data analysis needs continually change—this flexibility toward new software and data types should prove beneficial. Galaxy’s transparency and shareability also facilitates reproducible and publicly available analyses of the ‘Big Data’ produced in omics studies. Coupled with emerging efforts to make workflow frameworks interoperable13,14, the sharing functions inherent to frameworks such as Galaxy could transform the way in which largescale molecular data are exchanged, wherein raw data along with the complete workflow used for its analysis would be deposited and made publically available. With this vision in mind, we hope that this article will stimulate a much-needed discussion on the best ways to meet the challenges of multi-omic data analysis and move us closer to realizing its potential for biological discovery.
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Cites
Multiplex Genome Engineering Using CRISPR/Cas Systems
Cong, L., Ran, F. A., Cox, D., Lin, S., Barretto, R., Habib, N., Hsu, P. D., Wu, X., Jiang, W., Marraffini, L. A., et al. (2013) · Science · doi:10.1126/science.1231143 · Cited by 15,339
Self-citationRNA-Guided Human Genome Engineering via Cas9
Mali, P., Yang, L., Esvelt, K. M., Aach, J., Guell, M., DiCarlo, J. E., Norville, J. E., & Church, G. M. (2013) · Science · doi:10.1126/science.1232033 · Cited by 9,210
Repurposing CRISPR as an RNA-Guided Platform for Sequence-Specific Control of Gene Expression
Qi, L. S., Larson, M. H., Gilbert, L. A., Doudna, J. A., Weissman, J. S., Arkin, A. P., & Lim, W. A. (2013) · Cell · doi:10.1016/j.cell.2013.02.022 · Cited by 5,016
DNA targeting specificity of RNA-guided Cas9 nucleases
Hsu, P. D., Scott, D. A., Weinstein, J. A., Ran, F. A., Konermann, S., Agarwala, V., Li, Y., Fine, E. J., Wu, X., Shalem, O., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2647 · Cited by 4,741
Self-citationGenome-scale transcriptional activation by an engineered CRISPR-Cas9 complex
Konermann, S., Brigham, M. D., Trevino, A. E., Joung, J., Abudayyeh, O. O., Barcena, C., Hsu, P. D., Habib, N., Gootenberg, J. S., Nishimasu, H., et al. (2015) · Nature · doi:10.1038/nature14136 · Cited by 2,825 · cited 1×
“In addition, strategies employing catalytically inactive Cas9 can direct effector proteins to genomic targets 3–5 to modulate transcription.”
BackgroundSelf-citationGenome-Scale CRISPR-Mediated Control of Gene Repression and Activation
Gilbert, L. A., Horlbeck, M. A., Adamson, B., Villalta, J. E., Chen, Y., Whitehead, E. H., Guimaraes, C., Panning, B., Ploegh, H. L., Bassik, M. C., et al. (2014) · Cell · doi:10.1016/j.cell.2014.09.029 · Cited by 2,728
Crystal structure of Cas9 in complex with guide RNA and target DNA
Nishimasu, H., Ran, F. A., Hsu, P. D., Konermann, S., Shehata, S. I., Dohmae, N., Ishitani, R., Zhang, F., & Nureki, O. (2014) · Cell · doi:10.1016/j.cell.2014.02.001 · Cited by 2,306
Improving CRISPR-Cas nuclease specificity using truncated guide RNAs
Fu, Y., Sander, J. D., Reyon, D., Cascio, V. M., & Joung, J. K. (2014) · Nature Biotechnology · doi:10.1038/nbt.2808 · Cited by 1,993
RNA-guided gene activation by CRISPR-Cas9-based transcription factors
Perez-Pinera, P., Kocak, D. D., Vockley, C. M., Adler, A. F., Kabadi, A. M., Polstein, L. R., Thakore, P. I., Glass, K. A., Ousterout, D. G., Leong, K. W., et al. (2013) · Nature Methods · doi:10.1038/nmeth.2600 · Cited by 1,328
Optical control of mammalian endogenous transcription and epigenetic states
Konermann, S., Brigham, M. D., Trevino, A. E., Hsu, P. D., Heidenreich, M., Cong, L., Platt, R. J., Scott, D. A., Church, G. M., & Zhang, F. (2013) · Nature · doi:10.1038/nature12466 · Cited by 803
Self-citation
Cited by
Rationally engineered Cas9 nucleases with improved specificity
Slaymaker, I. M., Gao, L., Zetsche, B., Scott, D. A., Yan, W. X., & Zhang, F. (2016) · Science · doi:10.1126/science.aad5227 · Cited by 2,414
Self-citationGenome editing with CRISPR–Cas nucleases, base editors, transposases and prime editors
Anzalone, A. V., Koblan, L. W., & Liu, D. R. (2020) · Nature Biotechnology · doi:10.1038/s41587-020-0561-9 · Cited by 2,237
The CRISPR tool kit for genome editing and beyond
Adli, M. (2018) · Nature Communications · doi:10.1038/s41467-018-04252-2 · Cited by 1,545
The next generation of CRISPR–Cas technologies and applications
Pickar-Oliver, A., & Gersbach, C. A. (2019) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-019-0131-5 · Cited by 1,459
Off-target Effects in CRISPR/Cas9-mediated Genome Engineering
Zhang, X.-H., Tee, L. Y., Wang, X.-G., Huang, Q.-S., & Yang, S.-H. (2015) · Molecular Therapy - Nucleic Acids · doi:10.1038/mtna.2015.37 · Cited by 1,273
Metadata
- Authors
- Zetsche, B., Volz, S. E., & Zhang, F.
- Venue
- Nature Biotechnology
- Published
- 2015-02
- Volume
- 33
- Issue
- 2
- Pages
- 139-142
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- OpenAlex
- W2032141669
- Cited by
- 710
- References
- 11
- FWCI
- 31.91
- Type
- journal article
- Language
- en
- Open access
- green
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