PLoS Computational Biology (Apr 2022)

All2: A tool for selecting mosaic mutations from comprehensive multi-cell comparisons.

  • Vivekananda Sarangi,
  • Yeongjun Jang,
  • Milovan Suvakov,
  • Taejeong Bae,
  • Liana Fasching,
  • Shobana Sekar,
  • Livia Tomasini,
  • Jessica Mariani,
  • Flora M Vaccarino,
  • Alexej Abyzov

DOI
https://doi.org/10.1371/journal.pcbi.1009487
Journal volume & issue
Vol. 18, no. 4
p. e1009487

Abstract

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Accurate discovery of somatic mutations in a cell is a challenge that partially lays in immaturity of dedicated analytical approaches. Approaches comparing a cell's genome to a control bulk sample miss common mutations, while approaches to find such mutations from bulk suffer from low sensitivity. We developed a tool, All2, which enables accurate filtering of mutations in a cell without the need for data from bulk(s). It is based on pair-wise comparisons of all cells to each other where every call for base pair substitution and indel is classified as either a germline variant, mosaic mutation, or false positive. As All2 allows for considering dropped-out regions, it is applicable to whole genome and exome analysis of cloned and amplified cells. By applying the approach to a variety of available data, we showed that its application reduces false positives, enables sensitive discovery of high frequency mutations, and is indispensable for conducting high resolution cell lineage tracing.