001     295958
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100 1 _ |a Otonicar, Jan
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245 _ _ |a HIPSD&R-seq enables scalable genomic copy number and transcriptome profiling.
260 _ _ |a London
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520 _ _ |a 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.
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650 _ 7 |a Single Cell DNA sequencing
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650 _ 7 |a Single Cell copy Number profiling
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650 _ 7 |a Single Cell multiome
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650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Single-Cell Analysis: methods
|2 MeSH
650 _ 2 |a Gene Expression Profiling: methods
|2 MeSH
650 _ 2 |a High-Throughput Nucleotide Sequencing: methods
|2 MeSH
650 _ 2 |a Genomics: methods
|2 MeSH
650 _ 2 |a Transcriptome
|2 MeSH
650 _ 2 |a Sequence Analysis, DNA: methods
|2 MeSH
650 _ 2 |a Sequence Analysis, RNA: methods
|2 MeSH
650 _ 2 |a DNA Copy Number Variations
|2 MeSH
700 1 _ |a Lazareva, Olga
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700 1 _ |a Mallm, Jan-Philipp
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700 1 _ |a Simovic-Lorenz, Milena
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700 1 _ |a Philippos, George
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700 1 _ |a Sant, Pooja
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700 1 _ |a Parekh, Urja
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700 1 _ |a Hammann, Linda
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700 1 _ |a Li, Albert
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700 1 _ |a Yildiz, Umut
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700 1 _ |a Marttinen, Mikael
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700 1 _ |a Zaugg, Judith
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700 1 _ |a Noh, Kyung Min
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700 1 _ |a Stegle, Oliver
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700 1 _ |a Ernst, Aurélie
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773 _ _ |a 10.1186/s13059-024-03450-0
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