Hybrid BAG-seq: DNA and RNA from the same single nucleus reveals interactions between genomic and transcriptomic landscapes in human tumor samples

Li, Siran, Alexander, Joan, Kendall, Jude, Andrews, Peter, Rose, Elizabeth, Orjuela, Hope, Park, Sarah, Podszus, Craig, Shanley, Liam, Ranade, Nissim, Morris, Patrick, Stauder, Danielle, Bradford, Daniel, Laster, Zachary, Ronemus, Michael, Rishi, Arvind, Frimer, Marina, Ma, Rong, Donoho, David L, Goldberg, Gary L, Wigler, Michael, Levy, Dan (September 2025) Hybrid BAG-seq: DNA and RNA from the same single nucleus reveals interactions between genomic and transcriptomic landscapes in human tumor samples. Genome Biology, 26 (1). p. 314. ISSN 1474-760X (Public Dataset)

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Abstract

We introduce hybrid BAG-seq: a high-throughput, multi-omic method that simultaneously captures DNA and RNA from single nuclei. We apply this protocol to 65,499 single nuclei from samples of five uterine cancer patients and validate the clustering using RNA-only and DNA-only protocols from the same tissues. Multiple tumor genome or expression clusters are often present within a patient, with different tumor clones projecting into distinct or shared expression states, demonstrating nearly all possible genome-transcriptome correlations. We also identify mutant stroma with significant X chromosome loss in various cell types and patient-specific stromal subtypes exhibiting aberrant expression patterns.

Item Type: Paper
Subjects: bioinformatics
bioinformatics > genomics and proteomics > genetics & nucleic acid processing
bioinformatics > genomics and proteomics
bioinformatics > genomics and proteomics > genetics & nucleic acid processing > transcriptomes
CSHL Authors:
Communities: CSHL labs > Beyaz lab
CSHL labs > Levy lab
CSHL labs > Wigler lab
SWORD Depositor: CSHL Elements
Depositing User: CSHL Elements
Date: 27 September 2025
Date Deposited: 29 Sep 2025 13:36
Last Modified: 30 Sep 2025 17:17
PMCID: PMC12476631
Related URLs:
Dataset ID:
  • SRA: PRJNA773107
  • https://github.com/levycshl/bag-pipe
  • https://doi.org/10.5281/zenodo.17048209
  • https://github.com/siranli01/DNA_RNA
  • https://doi.org/10.5281/zenodo.17051405
URI: https://repository.cshl.edu/id/eprint/41972

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