Cell line-matched reference enables high-precision functional genomics

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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Publication Details

Journal
Nature Communications
Published
2025-11-20
DOI
https://doi.org/10.1038/s41467-025-66155-3
Citations
2
Primary Topic
Chromosomal and Genetic Variations
Type
article
Field-Weighted Citation Impact
3.50

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article

Cell line-matched reference enables high-precision functional genomics

Alessio Colantoni, Mattia Capulli, Simona Giunta, Andrea Guarracino et al.
2 citations
Nature Communications
Chromosomal and Genetic Variations
3.50
article

Cell line-matched reference enables high-precision functional genomics

Alessio Colantoni, Mattia Capulli, Simona Giunta, Andrea Guarracino, Hamza Dallali, Elena Di Tommaso, Emilia Volpe, Evelyne Tassone, Luca Corda, Sai Swaroop Chittoor
article en
2 citations

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.

Nature CommunicationsVol. 16(1)
University of Tennessee Health Science Center (US), University of L'Aquila (IT), Institut thématique Génétique, génomique et bioinformatique (FR), Sapienza University of Rome (IT)
Ministero dell’Istruzione, dell’Università e della Ricerca, Fondazione Umberto Veronesi, Associazione Italiana per la Ricerca sul Cancro, Fondazione Italiana per la Ricerca sul Cancro
Openalex Percentile: Top 7%
Chromosomal and Genetic Variations
3.50
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