: 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.

Cell line-matched reference enables high-precision functional genomics / Corda, Luca; Volpe, Emilia; Dallali, Hamza; Di Tommaso, Elena; Colantoni, Alessio; Guarracino, Andrea; Chittoor, Sai Swaroop; Capulli, Mattia; Tassone, Evelyne; Giunta, Simona. - In: NATURE COMMUNICATIONS. - ISSN 2041-1723. - (2025). [10.1038/s41467-025-66155-3]

Cell line-matched reference enables high-precision functional genomics

Luca Corda
Co-primo
;
Emilia Volpe;Hamza Dallali;Elena Di Tommaso;Alessio Colantoni;Andrea Guarracino;Sai Swaroop Chittoor;Evelyne Tassone;Simona Giunta
2025

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.
2025
Diploid reference genome; isogenomic approach; centromeres;
01 Pubblicazione su rivista::01a Articolo in rivista
Cell line-matched reference enables high-precision functional genomics / Corda, Luca; Volpe, Emilia; Dallali, Hamza; Di Tommaso, Elena; Colantoni, Alessio; Guarracino, Andrea; Chittoor, Sai Swaroop; Capulli, Mattia; Tassone, Evelyne; Giunta, Simona. - In: NATURE COMMUNICATIONS. - ISSN 2041-1723. - (2025). [10.1038/s41467-025-66155-3]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1756352
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