PURE-seq integrates FACS and PIP-seq for single-cell genomics of ultra-rare cells
Single-cell transcriptomics is valuable for uncovering individual cell properties, particularly in heterogeneous systems. However, this technique often results in the reanalysis of many well-characterized cells, increasing costs and diluting rare cell populations. To address this, we develop PIP-seq for Rare-cell Enrichment and Sequencing (PURE-seq). PURE-seq allows direct FACS sorting of cells into PIP-seq reactions, minimizing handling and reducing cell loss. PURE-seq reliably sequences ultrarare cells, with 1 hour of sorting capturing tens of target cells at a rarity of 1 in 1,000,000. Leveraging this extreme sensitivity, we use PURE-seq to isolate and single-cell sequence circulating tumor cells from metastatic melanoma patient blood, obtaining detailed single cancer cell gene expression profiles. Additionally, we use PURE-seq to examine hematopoietic stem and progenitor cells from young, old and middle-aged mice. Transcriptomic analysis identifies Egr1 as a putative master regulator of murine hematopoietic stem and progenitor cell aging, demonstrating PURE-seq's utility as a discovery platform for basic science applications. PURE-seq offers a simple and highly sensitive method for single-cell sequencing ultra-rare cells.
Authors
- Adam Abate
- Sixuan Pan
- Inés Fernández-Maestre (ORCID: https://orcid.org/0000-0001-6683-1892)
- Dr Adil Daud
- Stéphane Van Haver (ORCID: https://orcid.org/0000-0003-4608-7642)
- Kai‐Chun Chang (ORCID: https://orcid.org/0000-0001-7200-3532)
- Katy Tsai
- Matthew G. Wereski
- Robert L. Bowman
- Alexandra M. Haugh
Institutions
- Memorial Sloan Kettering Cancer Center (US)
- University of California, San Francisco (US)
- Cornell University (US)
- Neurological Surgery (US)
- University of Pennsylvania (US)
Publication Details
- Journal
- Nature Communications
- Published
- 2026-01-21
- DOI
- https://doi.org/10.1038/s41467-025-68146-w
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00