Evidence map›Paper›PMID 41266327›Full record

ArticleNature communications2025

Cell line-matched reference enables high-precision functional genomics.

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

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Luca Corda *Giunta Laboratory of Genome Evolution, Department of Biology and Biotechnologies Charles Darwin, University of Rome "Sapienza", Piazzale Aldo Moro 5, Rome, 00185, Italy.ORCID http://orcid.org/0009-0003-5294-9285
Emilia Volpe *Giunta Laboratory of Genome Evolution, Department of Biology and Biotechnologies Charles Darwin, University of Rome "Sapienza", Piazzale Aldo Moro 5, Rome, 00185, Italy.
Hamza DallaliGiunta Laboratory of Genome Evolution, Department of Biology and Biotechnologies Charles Darwin, University of Rome "Sapienza", Piazzale Aldo Moro 5, Rome, 00185, Italy.
Elena Di TommasoGiunta Laboratory of Genome Evolution, Department of Biology and Biotechnologies Charles Darwin, University of Rome "Sapienza", Piazzale Aldo Moro 5, Rome, 00185, Italy.ORCID http://orcid.org/0000-0001-6270-6189
Alessio ColantoniGiunta Laboratory of Genome Evolution, Department of Biology and Biotechnologies Charles Darwin, University of Rome "Sapienza", Piazzale Aldo Moro 5, Rome, 00185, Italy.ORCID http://orcid.org/0000-0001-7402-0176
Andrea GuarracinoDepartment of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, 38163, USA.ORCID http://orcid.org/0000-0001-9744-131X
Sai Swaroop ChittoorGiunta Laboratory of Genome Evolution, Department of Biology and Biotechnologies Charles Darwin, University of Rome "Sapienza", Piazzale Aldo Moro 5, Rome, 00185, Italy.
Mattia CapulliDepartment of Bioinformatic, Dante Genomics Corp Inc., 667 Madison Avenue, New York, NY, 10065, USA.
Evelyne TassoneGiunta Laboratory of Genome Evolution, Department of Biology and Biotechnologies Charles Darwin, University of Rome "Sapienza", Piazzale Aldo Moro 5, Rome, 00185, Italy.ORCID http://orcid.org/0000-0003-0631-007X
Simona GiuntaGiunta Laboratory of Genome Evolution, Department of Biology and Biotechnologies Charles Darwin, University of Rome "Sapienza", Piazzale Aldo Moro 5, Rome, 00185, Italy. simona.giunta@uniroma1.it.ORCID http://orcid.org/0000-0002-6666-9271

Funding

Associazione Italiana per la Ricerca sul Cancro (Italian Association for Cancer Research) #25189EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) #101078838
6 · The paper itself

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.

Indexed as

Genome, HumanGenomicsCell LineCentromereCRISPR-Cas SystemsGene EditingHaplotypesHumansKinetochores

Identifiers

PMID41266327
PMCPMC12711918

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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 OpenQuestion graph.