Evidence map›Paper›PMID 41030990›Full record

ArticlebioRxiv : the preprint server for biology2025

Diploid genome assembly of human fibroblast cell lines enables clone specific variant calling, improved read mapping and accurate phasing.

T Rhyker Ranallo-Benavidez, Yue Hao, Emilia Volpe, Maryam Jehangir, Noelle Fukushima, Ogechukwu Mbegbu, Rebecca Reiman, Jessica Molnar, Danyael Murphy, Dorothy Marie Paredes and 9 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

T Rhyker Ranallo-BenavidezTranslational Genomics Research Institute, Phoenix, AZ, USA.
Yue HaoTranslational Genomics Research Institute, Phoenix, AZ, USA.
Emilia VolpeDepartment of Biology and Biotechnology, Sapienza University, Rome, Italy.
Maryam JehangirTranslational Genomics Research Institute, Phoenix, AZ, USA.
Noelle FukushimaTranslational Genomics Research Institute, Phoenix, AZ, USA.
Ogechukwu MbegbuTranslational Genomics Research Institute, Phoenix, AZ, USA.
Rebecca ReimanTranslational Genomics Research Institute, Phoenix, AZ, USA.
Jessica MolnarTranslational Genomics Research Institute, Phoenix, AZ, USA.
Danyael MurphyTranslational Genomics Research Institute, Phoenix, AZ, USA.
Dorothy Marie ParedesTranslational Genomics Research Institute, Phoenix, AZ, USA.
Shukmei WongTranslational Genomics Research Institute, Phoenix, AZ, USA.
Kara KaraniukTranslational Genomics Research Institute, Phoenix, AZ, USA.
Stephanie BuchholtzTranslational Genomics Research Institute, Phoenix, AZ, USA.
Jonathan KeatsTranslational Genomics Research Institute, Phoenix, AZ, USA.
Mitchell J MachielaDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
Mikhail KolmogorovCenter for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA.
Benedict PatenUC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA.
Simona GiuntaDepartment of Biology and Biotechnology, Sapienza University, Rome, Italy.
Floris P BarthelTranslational Genomics Research Institute, Phoenix, AZ, USA.

Funding

Transgenic Mouse FacilityP30CA033572 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI STANLEY R. HAMILTON · 1985 to 2026
$86.3M
NCI NIH HHS P30 CA033572
6 · The paper itself

Abstract

Human cell lines are fundamental tools in biomedical research and are widely used in disease modeling, drug development, and many other domains. Here, we present chromosome-level, phased diploid genome assemblies of two popular human cell lines: the BJ foreskin fibroblast line and the IMR-90 fetal lung fibroblast line. Our high-quality assemblies, generated using long-read and Hi-C sequencing data, reveal substantial structural variation, including more than 50,000 insertions, deletions, duplications, and inversions compared to the recent T2T-CHM13v2.0 reference. Our assemblies provide detailed maps of genetic variation, enabling more accurate variant calling and the ability to phase reads when using newly generated or historical sequencing data on these cell lines or their derivatives. All assemblies and associated data have been made available as a resource for the research community. We envision that diploid genome assembly will become a cornerstone approach for personalized medicine in the near future.

Identifiers

PMID41030990
PMCPMC12478368

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Registered trials

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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.