The recent advent of genome-scale imaging has enabled single-cell omics analysis in a spatially resolved manner in intact cells and tissues. These advances allow gene expression profiling of individual cells, and hence in situ identification and spatial mapping of cell types, in complex tissues. The high spatial resolution of these approaches further allows determination of the spatial organizations of the genome and transcriptome inside cells, both of which are key regulatory mechanisms for gene expression.
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References
Larsson, L., Frisén, J. & Lundeberg, J. Nat. Methods https://doi.org/10.1038/s41592-020-01038-7 (2021).
Femino, A. M., Fay, F. S., Fogarty, K. & Singer, R. H. Science 280, 585–590 (1998).
Raj, A., van den Bogaard, P., Rifkin, S. A., van Oudenaarden, A. & Tyagi, S. Nat. Methods 5, 877–879 (2008).
Levsky, J. M., Shenoy, S. M., Pezo, R. C. & Singer, R. H. Science 297, 836–840 (2002).
Chen, K. H., Boettiger, A. N., Moffitt, J. R., Wang, S. & Zhuang, X. Science 348, aaa6090 (2015).
Xia, C., Fan, J., Emanuel, G., Hao, J. & Zhuang, X. Proc. Natl Acad. Sci. USA 116, 19490–19499 (2019).
Chen, F., Tillberg, P. W. & Boyden, E. S. Science 347, 543–548 (2015).
Wang, G., Moffitt, J. R. & Zhuang, X. Sci. Rep. 8, 4847 (2018).
Moffitt, J. R. et al. Proc. Natl Acad. Sci. USA 113, 14456–14461 (2016).
Moffitt, J. R. et al. Science 362, eaau5324 (2018).
Su, J. H., Zheng, P., Kinrot, S. S., Bintu, B. & Zhuang, X. Cell 182, 1641–1659.e26 (2020).
Lubeck, E., Coskun, A. F., Zhiyentayev, T., Ahmad, M. & Cai, L. Nat. Methods 11, 360–361 (2014).
Shah, S., Lubeck, E., Zhou, W. & Cai, L. Neuron 92, 342–357 (2016).
Eng, C. L. et al. Nature 568, 235–239 (2019).
Codeluppi, S. et al. Nat. Methods 15, 932–935 (2018).
Beliveau, B. J. et al. Proc. Natl Acad. Sci. USA 109, 21301–21306 (2012).
Xia, C., Babcock, H. P., Moffitt, J. R. & Zhuang, X. Sci. Rep. 9, 7721 (2019).
Landegren, U. BioEssays 15, 761–765 (1993).
Goh, J. J. L. et al. Nat. Methods 17, 689–693 (2020).
Ke, R. et al. Nat. Methods 10, 857–860 (2013).
Wang, X. et al. Science 361, eaat5691 (2018).
Qian, X. et al. Nat. Methods 17, 101–106 (2020).
Iyer, E.P.R. et al. Preprint at bioRxiv https://doi.org/10.1101/281121 (2018).
Alon, S. et al. Preprint at bioRxiv https://doi.org/10.1101/2020.05.13.094268 (2020).
Chen, X., Sun, Y. C., Church, G. M., Lee, J. H. & Zador, A. M. Nucleic Acids Res. 46, e22 (2018).
Lee, J. H. et al. Science 343, 1360–1363 (2014).
Stuart, T. et al. Cell 177, 1888–1902.e21 (2019).
Biancalani, T. et al. Preprint at bioRxiv https://doi.org/10.1101/2020.08.29.272831 (2020).
Zhang, M. et al. Preprint at bioRxiv https://doi.org/10.1101/2020.06.04.105700 (2020).
Chen, W. T. et al. Cell 182, 976–991.e19 (2020).
Asp, M. et al. Cell 179, 1647–1660.e19 (2019).
Soldatov, R. et al. Science 364, eaas9536 (2019).
Moffitt, J. R. et al. Proc. Natl Acad. Sci. USA 113, 11046–11051 (2016).
Wang, G. et al. Preprint at bioRxiv https://doi.org/10.1101/2020.12.07.414060 (2020).
Wang, S. et al. Science 353, 598–602 (2016).
Nguyen, H. Q. et al. Nat. Methods 17, 822–832 (2020).
Bintu, B. et al. Science 362, eaau1783 (2018).
Nir, G. et al. PLoS Genet. 14, e1007872 (2018).
Mateo, L. J. et al. Nature 568, 49–54 (2019).
Cardozo Gizzi, A. M. et al. Mol. Cell 74, 212–222.e5 (2019).
Sawh, A. N. et al. Mol. Cell 78, 96–111.e6 (2020).
Liu, M. et al. Nat. Commun. 11, 2907 (2020).
Takei, Y. et al. Preprint at bioRxiv https://doi.org/10.1101/2020.11.29.403055 (2020).
Lawson, M. J. et al. Mol. Syst. Biol. 13, 947 (2017).
Emanuel, G., Moffitt, J. R. & Zhuang, X. Nat. Methods 14, 1159–1162 (2017).
Wang, C., Lu, T., Emanuel, G., Babcock, H. P. & Zhuang, X. Proc. Natl Acad. Sci. USA 116, 10842–10851 (2019).
Feldman, D. et al. Cell 179, 787–799.e17 (2019).
Camsund, D. et al. Nat. Methods 17, 86–92 (2020).
Frieda, K. L. et al. Nature 541, 107–111 (2017).
Chow, K.-H. K. et al. Preprint at bioRxiv https://doi.org/10.1101/2020.02.21.958678 (2020).
Chen, X. et al. Cell 179, 772–786.e19 (2019).
Acknowledgements
I am grateful to J. Moffitt for suggestions and comments on the paper, and to J. Moffitt, B. Bintu and J. Fan for help with figures. This work is supported in part by the National Institutes of Health. X.Z. is a Howard Hughes Medical Institute investigator.
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X.Z. is a cofounder and consultant of Vizgen and an inventor on patents applied for by Harvard University related to MERFISH.
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Zhuang, X. Spatially resolved single-cell genomics and transcriptomics by imaging. Nat Methods 18, 18–22 (2021). https://doi.org/10.1038/s41592-020-01037-8
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DOI: https://doi.org/10.1038/s41592-020-01037-8
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