Post‐Hoc Long‐Read Sequencing Links Leukemic Mutation Status to Single‐Cell Transcriptomes

Single-cell RNA-sequencing-based characterization of cells that belong to the neoplastic clone is a major challenge in hematologic neoplasms, where malignant and normal cells coexist. Confident molecular profiling requires simultaneous analysis of gene expression and genetic mutations in individual cells, an ability that is not supported by the standard 10X Genomics workflow. Here, we systematically evaluated the potential and limitations of repurposing amplified cDNA generated during the 10X Genomics 3' workflow for post hoc genotyping of individual cells. We first established a mixed leukemic cell line system comprising one cell line with KIT point mutations and another with the BCR::ABL1 fusion gene. Targeted long-read PacBio sequencing enabled post hoc assignment of mutation data to transcriptionally profiled cells, but recovery differed between targets. Consistent with ambient RNA in microfluidics-based single-cell workflows, mutation-associated transcripts were detected in cells not expected to carry the corresponding mutations, illustrating how transcript recovery complicates cell-level genotype assignment. Target-specific thresholds mitigated this source of misclassification. In primary chronic myeloid leukemia samples, the post hoc approach detected BCR::ABL1-positive cells at diagnosis, but not during imatinib treatment. Together, we present a framework for adding mutation status to cells already profiled using the 10X Genomics workflow and highlight broader considerations for transcript-based single-cell genotyping.

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Publication Details

Journal
European Journal Of Haematology
Published
2026-09-17
DOI
https://doi.org/10.1111/ejh.70322
Primary Topic
Acute Myeloid Leukemia Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Post‐Hoc Long‐Read Sequencing Links Leukemic Mutation Status to Single‐Cell Transcriptomes

Ulla Olsson‐Strömberg, Stina Söderlund, Gunnar Nilsson, Lucille Margerie et al.
European Journal Of Haematology
Acute Myeloid Leukemia Research
article

Post‐Hoc Long‐Read Sequencing Links Leukemic Mutation Status to Single‐Cell Transcriptomes

Ulla Olsson‐Strömberg, Stina Söderlund, Gunnar Nilsson, Lucille Margerie, 莫介臻, Sofia Papavasileiou, Joakim S. Dahlin, Chenyan Wu, Daryl Boey
article en

Abstract

Single-cell RNA-sequencing-based characterization of cells that belong to the neoplastic clone is a major challenge in hematologic neoplasms, where malignant and normal cells coexist. Confident molecular profiling requires simultaneous analysis of gene expression and genetic mutations in individual cells, an ability that is not supported by the standard 10X Genomics workflow. Here, we systematically evaluated the potential and limitations of repurposing amplified cDNA generated during the 10X Genomics 3' workflow for post hoc genotyping of individual cells. We first established a mixed leukemic cell line system comprising one cell line with KIT point mutations and another with the BCR::ABL1 fusion gene. Targeted long-read PacBio sequencing enabled post hoc assignment of mutation data to transcriptionally profiled cells, but recovery differed between targets. Consistent with ambient RNA in microfluidics-based single-cell workflows, mutation-associated transcripts were detected in cells not expected to carry the corresponding mutations, illustrating how transcript recovery complicates cell-level genotype assignment. Target-specific thresholds mitigated this source of misclassification. In primary chronic myeloid leukemia samples, the post hoc approach detected BCR::ABL1-positive cells at diagnosis, but not during imatinib treatment. Together, we present a framework for adding mutation status to cells already profiled using the 10X Genomics workflow and highlight broader considerations for transcript-based single-cell genotyping.

European Journal Of Haematology
Uppsala University (SE), Karolinska University Hospital (SE), Uppsala University Hospital (SE), Department of Medical Sciences (RU)
Cancerfonden, Karolinska Institutet, Knut och Alice Wallenbergs Stiftelse, Vetenskapsrådet, Alexander S. Onassis Public Benefit Foundation, Magnus Bergvalls Stiftelse, Radiumhemmets Forskningsfonder, Science for Life Laboratory, Uppsala Multidisciplinary Center for Advanced Computational Science
Openalex Percentile: Top 11%
Acute Myeloid Leukemia Research
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