ArticleNature communications2025
Cell line-matched reference enables high-precision functional genomics.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed.
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10 authors.
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Abstract
Comparative analyses of newly available human genome assemblies highlight extensive variation that peaks at centromeres. Reliance on a single generic reference genome can thus hinder whole-genome analysis of sequencing data derived from laboratory cell lines and limit their accurate genomic manipulation. Here, we demonstrate that using an "isogenomic" diploid reference genome - specific for the experimental cell line - substantially improves the accuracy of genomic, epigenomic, transcriptomic analyses and genome editing compared to a non-matched reference. Using our recently generated reference genome of the widely used diploid human cell line RPE-1, we uncover haplotype-specific genetic and epigenetic divergence across all centromeres. Mapping quality of RPE-1 data - DNA- and RNA-seq reads, improves both genome-wide and at highly divergent loci when using the matched RPE1v1.1 reference, resolving haplotype-specific enrichment. For genome engineering experiments, centromeric CRISPR guide RNA efficiency and chromosome specificity are best achieved using the RPE-1 reference. Leveraging high-confidence CUT&RUN read mapping using the matched reference, we define the site of the human kinetochore and identify a wide variation in the position, size and structural organization between haplotypes and chromosomes. This work establishes matched-reference genomics as a powerful framework for high-precision cell biology, calling for the systematic assembly of experimentally relevant cell line genomes.
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