Scalable genotyping in fixed transcriptomes resolves clonal heterogeneity via single-cell sequencing
Single-cell transcriptomics has revolutionized our understanding of heterogeneous cell populations. However, technical limitations of widely-used platforms have limited our ability to link transcriptional states to somatic mutations within the same cells at scale. Here, we introduce Genotyping in Fixed Transcriptomes (GIFT), a novel assay for simultaneous detection of hundreds of targeted genetic variants and whole transcriptome profiles in single cells. The core innovation of GIFT is a rationally designed gapfilling reaction between adjacent single-stranded DNA (ssDNA) probes that barcodes native transcript sequence to enable highly-specific targeted mutation detection. GIFT achieves >99% genotyping accuracy and flexible capture of hundreds of mutations per cell, including in FFPE (Formalin-Fixed Paraffin-Embedded) tissue, enabling clonal lineage tracing in heterogeneous settings. We demonstrate the unique scalability of GIFT by profiling >700,000 cells from 35 donors with myeloproliferative neoplasms (MPN), revealing mutation-dependent hematopoietic responses to systemic inflammation associated with the characteristic JAK2V617 mutation, including an allelic dose gradient of interferon-associated transcriptional programs and transcriptional priming of hematopoietic stem cells that develop into divergent disease states. Together, the unique technical advantages of GIFT enable direct resolution of genotype-to-phenotype relationships via clonal lineage tracing with comprehensive cell state measurements at single-cell resolution.
Authors
- Loruhama Delgado-Rivera
- Meril Takizawa
- Sreenath Krishnan
- Ruijiao Xin (ORCID: https://orcid.org/0000-0002-2218-9161)
- Jean‐Jacques Kiladjian (ORCID: https://orcid.org/0000-0002-8121-438X)
- Paul E. Lund (ORCID: https://orcid.org/0000-0003-0496-1434)
- Nalin Ratnayeke (ORCID: https://orcid.org/0000-0003-0620-8374)
- Catherine Snopkowski
- Marco Mignardi (ORCID: https://orcid.org/0000-0002-9430-2442)
- Kenny Kwok Hei Yu (ORCID: https://orcid.org/0000-0002-2394-4990)
- Andrew Kohlway
- S. Giraudier
- Nima Mousavi (ORCID: https://orcid.org/0000-0003-1926-8982)
- Nicholas A. Scarlott (ORCID: https://orcid.org/0000-0003-2827-6909)
- Caleb A. Lareau (ORCID: https://orcid.org/0000-0003-4179-4807)
- Austin Varela (ORCID: https://orcid.org/0000-0002-9068-7605)
- Nabih Maslah (ORCID: https://orcid.org/0000-0002-5553-462X)
- Poornasree Kumar
- Derek Vallejo (ORCID: https://orcid.org/0000-0003-3441-5848)
- Sydney B. Blattman
- Benan Nalbant
- Lorita Boghospor
- Erik Borgström (ORCID: https://orcid.org/0000-0002-2643-1971)
- Marisa Mariani
- Ronan Chaligné (ORCID: https://orcid.org/0000-0001-5788-5848)
- Laura C. Kida
- Dana Pe'er
- Snow Wu
- Sunjay Fernandes
- Brooke E. Howitt
- Karolis Kumpaitis
Institutions
- Kettering University (US)
- 10X Genomics (United States) (US)
- Hôpital Saint-Louis (FR)
- Stanford University (US)
Publication Details
- Journal
- bioRxiv (Cold Spring Harbor Laboratory)
- Published
- 2026-04-12
- DOI
- https://doi.org/10.64898/2026.04.11.717967
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Howard Hughes Medical Institute
- Damon Runyon Cancer Research Foundation
- Memorial Sloan-Kettering Cancer Center
- Ligue Contre le Cancer
- National Institutes of Health