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Updated: Jun 4, 2025

Flow-sorting and Exome Sequencing of the Reed-Sternberg Cells of Classical Hodgkin Lymphoma
Published on: June 10, 2017
HIPSD&R-seq enables scalable genomic copy number and transcriptome profiling
Jan Otoničar1,2,3, Olga Lazareva4,5,6, Jan-Philipp Mallm7,8
1Group Genome Instability in Tumors, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Abstract:
Single-cell DNA sequencing (scDNA-seq) enables decoding somatic cancer variation. Existing methods are hampered by low throughput or cannot be combined with transcriptome sequencing in the same cell. We propose HIPSD&R-seq (HIgh-throughPut Single-cell Dna and Rna-seq), a scalable yet simple and accessible assay to profile low-coverage DNA and RNA in thousands of cells in parallel. Our approach builds on a modification of the 10X Genomics platform for scATAC and multiome profiling. In applications to human cell models and primary tissue, we demonstrate the feasibility to detect rare clones and we combine the assay with combinatorial indexing to profile over 17,000 cells.

