Manuscript citation: Niu, M., Zhang, Y., Luo, J., Sinson, J. C., Thompson, A. M., & Zong, C. (2023). Characterization of cancer evolution landscape based on accurate detection of somatic mutations in single tumor cells. bioRxiv, 2023-10.
License: This is an open access protocol distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Protocol status: WorkingWe use this protocol and it's working
Created: December 19, 2025
Last Modified: December 22, 2025
Protocol Integer ID: 235394
Keywords: cell whole genome amplification method, cell genome amplification method, whole genome amplification method, accurate detection of somatic mutation, somatic mutations in individual human cell, detecting somatic mutation, errors per human genome, somatic mutation, single cell, human genome, cell expansion experiment, sequencing scheme, mutation, individual human cell, nanoseq chemistry, based nanoseq chemistry
Funders Acknowledgements:NIH Director’s New Innovator Award
Grant ID: 1DP2EB020399
NIH SMaHT Program
Grant ID: 1UG3NS132132
NIH SMaHT Program
Grant ID: 1UM1DA058229-01