Nature BiotechnologyGenomicsPeer-reviewed journal article
Mitochondrial variant enrichment from high-throughput single-cell RNA-seq resolves clonal populations
Tyler E. MilleriD, Caleb A. LareauiD, Julia A. Verga, Erica A. K. DePasqualeiD, Vincent LiuiD, Daniel SsoziiD, Katalin D. SandoriD, Yajie YiniD, Leif S. LudwigiD, Chadi A. El FarraniD, Duncan M. MorganiD, Ansuman T. SatpathyiD, Gabriel Kenneth GriffiniD, Andrew A. LaneiD, John Christopher LoveiD, B BernsteiniD, Vijay G. SankaraniD, Peter van GaleniD
Abstract
Reconstructing lineage relationships in complex tissues can reveal mechanisms underlying development and disease. Recent methods combine single-cell transcriptomics with mitochondrial DNA variant detection to establish lineage relationships in primary human cells, but are not scalable to interrogate complex tissues. To overcome this limitation, here we develop a technology for high-confidence detection of mitochondrial mutations from high-throughput single-cell RNA-sequencing. We use the new method to identify skewed immune cell expansions in primary human clonal hematopoiesis.
- organism: human
- assay: scRNA-seq
- research focus: clustering
- research focus: differential expression
- approach: statistical model
- Citations
- 154
- FWCI
- 9.95
- Field percentile
- top 1%
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