The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Long-term dual-color tracking of genomic loci by modified sgRNAs of the CRISPR/Cas9 system
Open accessAbstract
Visualization of chromosomal dynamics is important for understanding many fundamental intra-nuclear processes. Efficient and reliable live-cell multicolor labeling of chromosomal loci can realize this goal. However, the current methods are constrained mainly by insufficient labeling throughput, efficiency, flexibility as well as photostability. Here we have developed a new approach to realize dual-color chromosomal loci imaging based on a modified single-guide RNA (sgRNA) of the CRISPR/Cas9 system. The modification of sgRNA was optimized by structure-guided engineering of the original sgRNA, consisting of RNA aptamer insertions that bind fluorescent protein-tagged effectors. By labeling and tracking telomeres, centromeres and genomic loci, we demonstrate that the new approach is easy to implement and enables robust dual-color imaging of genomic elements. Importantly, our data also indicate that the fast exchange rate of RNA aptamer binding effectors makes our sgRNA-based labeling method much more tolerant to photobleaching than the Cas9-based labeling method. This is crucial for continuous, long-term tracking of chromosomal dynamics. Lastly, as our method is complementary to other live-cell genomic labeling systems, it is therefore possible to combine them into a plentiful palette for the study of native chromatin organization and genome ultrastructure dynamics in living cells.
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Cites
Topological domains in mammalian genomes identified by analysis of chromatin interactions
Dixon, J. R., Selvaraj, S., Yue, F., Kim, A., Li, Y., Shen, Y., Hu, M., Liu, J. S., & Ren, B. (2012) · Nature · doi:10.1038/nature11082 · Cited by 6,829
Genome-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×
“This observation is consistent with a previous finding that transcriptional activation by dCas9 is less robust than that of the modified sgRNA (45).”
ResultMammalian Telomeres End in a Large Duplex Loop
Griffith, J. D., Comeau, L., Rosenfield, S., Stansel, R. M., Bianchi, A., Moss, H., & de Lange, T. (1999) · Cell · doi:10.1016/s0092-8674(00)80760-6 · Cited by 2,447
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
Mali, P., Aach, J., Stranges, P. B., Esvelt, K. M., Moosburner, M., Kosuri, S., Yang, L., & Church, G. M. (2013) · Nature Biotechnology · doi:10.1038/nbt.2675 · Cited by 1,752
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
Structures of Cas9 endonucleases reveal RNA-mediated conformational activation
Jinek, M., Jiang, F., Taylor, D. W., Sternberg, S. H., Kaya, E., Ma, E., Anders, C., Hauer, M., Zhou, K., Lin, S., et al. (2014) · Science · doi:10.1126/science.1247997 · Cited by 1,230
Engineering complex synthetic transcriptional programs with CRISPR RNA scaffolds
Zalatan, J. G., Lee, M. E., Almeida, R., Gilbert, L. A., Whitehead, E. H., La Russa, M., Tsai, J. C., Weissman, J. S., Dueber, J. E., Qi, L. S., et al. (2015) · Cell · doi:10.1016/j.cell.2014.11.052 · Cited by 938
Positional stability of single double-strand breaks in mammalian cells
Soutoglou, E., Dorn, J. F., Sengupta, K., Jasin, M., Nussenzweig, A., Ried, T., Danuser, G., & Misteli, T. (2007) · Nature Cell Biology · doi:10.1038/ncb1591 · Cited by 509
Cited by
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
Horlbeck, M. A., Gilbert, L. A., Villalta, J. E., Adamson, B., Pak, R. A., Chen, Y., Fields, A. P., Park, C. Y., Corn, J. E., Kampmann, M., et al. (2016) · eLife · doi:10.7554/elife.19760 · Cited by 894
The emerging and uncultivated potential of CRISPR technology in plant science
Zhang, Y., Malzahn, A. A., Sretenovic, S., & Qi, Y. (2019) · Nature Plants · doi:10.1038/s41477-019-0461-5 · Cited by 394
Visualizing RNA dynamics in live cells with bright and stable fluorescent RNAs
Chen, X., Zhang, D., Su, N., Bao, B., Xie, X., Zuo, F., Yang, L., Wang, H., Jiang, L., Lin, Q., et al. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0249-1 · Cited by 394
Metadata
- Authors
- Shao, S., Zhang, W., Hu, H., Xue, B., Qin, J., Sun, C., Sun, Y., Wei, W., & Sun, Y.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2016-02-04
- Volume
- 44
- Issue
- 9
- Pages
- e86-e86
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2270957224
- Cited by
- 160
- References
- 9
- FWCI
- 10.68
- Type
- journal article
- Language
- en
- Open access
- gold
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- Shao, S., Zhang, W., Hu, H., Xue, B., Qin, J., Sun, C., Sun, Y., Wei, W., & Sun, Y. (2016). Long-term dual-color tracking of genomic loci by modified sgRNAs of the CRISPR/Cas9 system. Nucleic Acids Research. https://doi.org/10.1093/nar/gkw066
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