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Tracking cell lineages to improve research reproducibility

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Fig. 1: Genome reading and writing technologies have contributed to an expansion in the number of cell lineages and advanced methods to characterize and track these lineages.
Fig. 2: Evolutionary dynamics and selection in cell line establishment and maintenance.

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Acknowledgements

We thank L.M. de Buy Wenniger and T. Joseph for valuable feedback on the manuscript and K. White for assistance with graphic design. S.Z. is supported by the Jacobs Technion-Cornell Institute, the Elisha M. Friedman Postdoctoral Fellowship and FIND Genomics. S.C.G. is supported by a fellowship from the Gordon and Betty Moore Foundation/Life Sciences Research Foundation through grant GBMF2550.06. N.E.S. is supported by the National Institutes of Health (NIH) National Human Genome Research Institute (grant no. DP2HG010099), NIH National Cancer Institute (grant no. R01CA218668), NIH National Institute of General Medical Sciences (grant no. R01GM138635), Defense Advanced Research Projects Agency (grant no. D18AP00053), Sidney Kimmel Foundation, Melanoma Research Alliance, Brain and Behavior Foundation and Cancer Research Institute, and New York University and New York Genome Center startup funds.

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Conception: S.Z., S.C.G., N.E.S. Writing and figures: S.Z., S.C.G., N.E.S.

Corresponding authors

Correspondence to Sophie Zaaijer or Simon C. Groen or Neville E. Sanjana.

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Competing interests

S.Z. is a co-founder of FIND Genomics, a company that aims to improve reproducible cell-based science and develops cell lineage tracking software. N.E.S is an advisor to Vertex.

Additional information

Peer review information Nature Biotechnology thanks Chad Cowan and Johan Rockberg for their contribution to the peer review of this work.

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Zaaijer, S., Groen, S.C. & Sanjana, N.E. Tracking cell lineages to improve research reproducibility. Nat Biotechnol 39, 666–670 (2021). https://doi.org/10.1038/s41587-021-00928-1

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