CellBouncer, a unified toolkit for single-cell demultiplexing and ambient RNA analysis, reveals hominid mitochondrial incompatibilities
Nathan K. Schaefer; Bryan J. Pavlovic; Matthew T. Schmitz; Alex A. Pollen · 2026 · Cell Genomics
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Pooled processing, in which cells from multiple sources are cultured or captured together, is increasingly popular for droplet-based single-cell sequencing studies. This design allows efficient scaling of experiments, isolation of cell-intrinsic differences, and mitigation of batch effects. We present CellBouncer, a computational toolkit for demultiplexing and analyzing single-cell sequencing data from pooled experiments. We demonstrate that CellBouncer can separate and quantify multi-species and multi-individual cell mixtures, identify unknown mitochondrial haplotypes in cells, assign treatme
Abstract by Nathan K. Schaefer; Bryan J. Pavlovic; Matthew T. Schmitz; Alex A. Pollen, Cell Genomics (2026) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1016/j.xgen.2026.101275