SUMMARY Here in this UG3/UH3 proposal, we aim to develop a new single-cell whole-genome amplification chemistry that allows high-accuracy and high-coverage detection of somatic mutations in single cells and the dual-omics assay that combines the high-accuracy and high-coverage genome profiling assay with the single-cell transcriptome assay (UG3). And in the UH3, we aim to scale up the throughput of the scDuplex-seq assay and the related dual-omics assay on the picoinjection-based droplet platform and validate this platform for different tissue types that are going to be profiled for somatic mosaicism by SMaTH program at the large scale. Understanding the heterogeneity of the blueprint of life at single-cell resolution is critical for our understanding of many fundamental biological processes such as aging and human diseases such as cancer and neurodegeneration. Hence, the successful development of the proposed single-cell method is important for reaching the goals of profiling somatic mosaicism set by the SMaHT program considering that somatic mutations, to our knowledge, are the most frequently occurred type of somatic variants. With the successful method development, we can determine the overall somatic mutation burdens in single cells and the variations among them. Going beyond characterizing the levels of somatic mutations, we can also effectively construct a lineage tree for all the sequenced single cells. And we expect that there will be phenotypic differences between different branches of the lineage tree, which correspond to different clones in our body, as recently observed in the regional dissection-based studies. Upon identifying the different branches/clones, we can characterize those phenotypic differences between them. The proposed dual-omics assay will provide the exact tool for this characterization. In terms of our major strategy in developing an accurate high-coverage genome profiling method, we will apply specialized transposition chemistry to genomic DNA, which results in duplex-DNA with very uniform fragment size, maximizing the recovery of these fragments in the downstream chemistry. Our major technical specialty in scaling up the throughput is the picoinjection droplet system that essentially allows the implementation of complicated chemistry onto the droplet system. The collaborative experience between Zong lab and Weitz lab has also been proven to be productive in the development of the droplet scTotalRNA-seq. Our ultimate goal of this proposal is to produce a lineage tree with a large number of cells (³1000) with both accurate characterizations of somatic mutations and the transcriptome in single cells, hence providing the proof of concept picture for future large-scale profiling by Genome Characterization Centers of the SMaHT program.