Nature Communications (Aug 2023)

SnapFISH: a computational pipeline to identify chromatin loops from multiplexed DNA FISH data

  • Lindsay Lee,
  • Hongyu Yu,
  • Bojing Blair Jia,
  • Adam Jussila,
  • Chenxu Zhu,
  • Jiawen Chen,
  • Liangqi Xie,
  • Antonina Hafner,
  • Shreya Mishra,
  • Duan Dennis Wang,
  • Caterina Strambio-De-Castillia,
  • Alistair Boettiger,
  • Bing Ren,
  • Yun Li,
  • Ming Hu

DOI
https://doi.org/10.1038/s41467-023-40658-3
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 7

Abstract

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Abstract Multiplexed DNA fluorescence in situ hybridization (FISH) imaging technologies have been developed to map the folding of chromatin fibers at tens of nanometers and up to several kilobases in resolution in single cells. However, computational methods to reliably identify chromatin loops from such imaging datasets are still lacking. Here we present a Single-Nucleus Analysis Pipeline for multiplexed DNA FISH (SnapFISH), to process the multiplexed DNA FISH data and identify chromatin loops. SnapFISH can identify known chromatin loops from mouse embryonic stem cells with high sensitivity and accuracy. In addition, SnapFISH obtains comparable results of chromatin loops across datasets generated from diverse imaging technologies. SnapFISH is freely available at https://github.com/HuMingLab/SnapFISH .