Scalable whole genome sequencing of 40,000 single cells identifies stochastic aneuploidies, genome replication states and clonal repertoires

Emma Laks, Hans Zahn, Daniel Lai, Andrew McPherson, Adi Steif, Jazmine Brimhall, Justina Biele, Beixi Wang, Tehmina Masud, Diljot Grewal, Cydney Nielsen, Samantha Leung, Viktoria Bojilova, Maia Smith, Oleg Golovko, Steven Poon, Peter Eirew, Farhia Kabeer, Teresa Ruiz de Algara, So Ra Lee, M. Jafar Taghiyar, Curtis Huebner, Jessica Ngo, Tim Chan, Spencer Vatrt-Watts, Pascale Walters, Nafis Abrar, Sophia Chan, Matt Wiens, Lauren Martin, R. Wilder Scott, Michael T. Underhill, Elizabeth Chavez, Christian Steidl, Daniel Da Costa, Yusanne Ma, Robin J. N. Coope, Richard Corbett, Stephen Pleasance, Richard Moore, Andy J. Mungall, CRUK IMAXT Consortium, Marco A. Marra, Carl Hansen, Sohrab Shah, Samuel Aparicio

bioRxiv 411058; doi: https://doi.org/10.1101/411058

Single cell WGS study performed jointly at UBC and BCCRC aimed to analyze genome heterogeneity, mutational process and clonal evolution over tens of thousands of single cells or single nuclei from a variety of tissues. The author developed DLP+, a fully integrated pipeline from wet bench to analysis
platform.

The platform was successfully used to study lineages and tissue heterogeneity according to parameters such as genome state, ploidy, copy number alteration and single nucleotide variant.