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scNanoCOOL-seq: a long-read single-cell sequencing method for multi-omics profiling within individual cells

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Fig. 1: Overview of scNanoCOOL-seq and its utility in profiling mouse blastocyst cells.

Data availability

All relevant data are available from the Sequence Read Archive database (accession number: PRJNA905717).

Code availability

All codes associated with this study have been deposited on GitHub (https://github.com/sherryxuePKU/scNanoCOOL-seq).

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Acknowledgements

This work was supported by the Basic Science Center Projects of the National Natural Science Foundation of China (32288102), and the Science and Technology Innovation “2030-Brain Science and Brain-like Research” major project (2021ZD0200102).

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Authors and Affiliations

Authors

Contributions

F.T. conceived and supervised this project. J.L., X.X. and Y.Z. developed protocol. J.L. and Y.Z. performed experiments with help from Y.W. X.X. conducted bioinformatic analysis with assistance from H.X. and M.L. J.L., X.X. and F.T. wrote the manuscript with help from other authors.

Corresponding author

Correspondence to Fuchou Tang.

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The authors declare no competing interests.

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Lin, J., Xue, X., Wang, Y. et al. scNanoCOOL-seq: a long-read single-cell sequencing method for multi-omics profiling within individual cells. Cell Res 33, 879–882 (2023). https://doi.org/10.1038/s41422-023-00873-5

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  • DOI: https://doi.org/10.1038/s41422-023-00873-5

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