ArticleGenome biology2024
HIPSD&R-seq enables scalable genomic copy number and transcriptome profiling.
Article in Genome biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Single-cell ultra-high-throughput multiplexed chromatin accessibility and gene expression sequencing (SUM-seq).Nature protocols · 2026Review
- From cellular heterogeneity to precision medicine: single-cell multi-omics in CNS disease research.Frontiers in cellular neuroscience · 2026Review
- Functional phenotyping of genomic variants using joint multiomic single-cell DNA-RNA sequencing.Nature methods · 2025Article
- Hybrid BAG-seq: DNA and RNA from the same single nucleus reveals interactions between genomic and transcriptomic landscapes in human tumor samples.Genome biology · 2025Article
- HIPSD&R-seq enables scalable genomic copy number and transcriptome profiling.Genome biology · 2024Article
Corrections and comments
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.