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A cross–nearest neighbor/Monte Carlo algorithm for single-molecule localization microscopy defines interactions between p53, Mdm2, and MEG3

Nicholas C. Bauer, Anli Yang, Xin Wang, Yunli Zhou, Anne Klibanski, Roy J. Soberman
doi: https://doi.org/10.1101/857912

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doi 
https://doi.org/10.1101/857912
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  • April 11, 2021.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.

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  1. Nicholas C. Bauer1,
  2. Anli Yang2,†,§,
  3. Xin Wang2,†,ǁ,
  4. Yunli Zhou2,
  5. Anne Klibanski2,‡, and
  6. Roy J. Soberman1,*,‡
  1. 1Division of Nephrology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, United States
  2. 2Neuroendocrine Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States
  1. ↵*Corresponding author: Roy Soberman, E-mail: soberman{at}helix.mgh.harvard.edu

  1. ↵† These authors contributed equally to the work

  2. ↵‡ These authors contributed equally to the work

  • ↵§ Department of Breast Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China

  • ↵ǁ Department of Histology and Embryology, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China

  • ↵ Mass General Brigham, Boston, Massachusetts, United States

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Posted April 11, 2021.
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A cross–nearest neighbor/Monte Carlo algorithm for single-molecule localization microscopy defines interactions between p53, Mdm2, and MEG3
Nicholas C. Bauer, Anli Yang, Xin Wang, Yunli Zhou, Anne Klibanski, Roy J. Soberman
bioRxiv 857912; doi: https://doi.org/10.1101/857912
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