Evidence map›Paper›PMID 41360792›Full record

ArticleNature communications2025

CiFi: accurate long-read chromosome conformation capture with low-input requirements.

Sean P McGinty, Gulhan Kaya, Sheina B Sim, Alex Makunin, Renée L Corpuz, Michael A Quail, Mohamed Abuelanin, Mara K N Lawniczak, Scott M Geib, Jonas Korlach and 1 more

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Influence ofGenome research · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Influence ofbioRxiv : the preprint server for biology · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Sean P McGinty *Genome Center, MIND Institute, and Department of Biochemistry & Molecular Medicine, University of California, Davis, Davis, CA, USA.
Gulhan Kaya *Genome Center, MIND Institute, and Department of Biochemistry & Molecular Medicine, University of California, Davis, Davis, CA, USA.ORCID http://orcid.org/0000-0003-3142-7886
Sheina B SimU.S. Department of Agriculture, Agricultural Research Service, Tropical Pest Genetics and Molecular Biology Research Unit, U.S. Pacific Basin Agricultural Research Center, Hilo, HI, USA.ORCID http://orcid.org/0000-0003-0914-6914
Alex MakuninWellcome Sanger Institute, Hinxton, UK.ORCID http://orcid.org/0000-0002-9555-5097
Renée L CorpuzU.S. Department of Agriculture, Agricultural Research Service, Tropical Pest Genetics and Molecular Biology Research Unit, U.S. Pacific Basin Agricultural Research Center, Hilo, HI, USA.ORCID http://orcid.org/0009-0005-6600-0788
Michael A QuailWellcome Sanger Institute, Hinxton, UK.ORCID http://orcid.org/0000-0002-3861-0483
Mohamed AbuelaninGenome Center, MIND Institute, and Department of Biochemistry & Molecular Medicine, University of California, Davis, Davis, CA, USA.ORCID http://orcid.org/0000-0002-3419-4785
Mara K N LawniczakWellcome Sanger Institute, Hinxton, UK.ORCID http://orcid.org/0000-0002-3006-2080
Scott M GeibU.S. Department of Agriculture, Agricultural Research Service, Tropical Pest Genetics and Molecular Biology Research Unit, U.S. Pacific Basin Agricultural Research Center, Hilo, HI, USA.ORCID http://orcid.org/0000-0002-9511-5139
Jonas KorlachPacific Biosciences, Menlo Park, CA, USA. jkorlach@pacb.com.ORCID http://orcid.org/0000-0003-3047-4250
Megan Y DennisGenome Center, MIND Institute, and Department of Biochemistry & Molecular Medicine, University of California, Davis, Davis, CA, USA. mydennis@ucdavis.edu.ORCID http://orcid.org/0000-0002-8502-5420

Funding

Human gene duplications in neurodevelopment and diseaseRF1MH132818 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI DENNIS, MEGAN Y · 2025 to 2025
$2.1M
Human gene duplications in neurodevelopment and diseaseR01MH132818 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI DENNIS, MEGAN Y · 2023 to 2024
$1.4M
National Science Foundation (NSF) CAREER 2145885NIMH NIH HHS R01 MH132818NIMH NIH HHS RF1 MH132818U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH132818Wellcome Trust
6 · The paper itself

Abstract

Hi-C characterizes three-dimensional chromatin organization, facilitates haplotype phasing, and enables genome-assembly scaffolding, but encounters difficulties across complex regions. By coupling chromosome conformation capture (3C) with PacBio HiFi long-read sequencing, here we develop a method (CiFi) that enables analysis of genomic interactions across repetitive regions. Starting with as little as 60,000 cells (sub-microgram DNA), the method produces multi-kilobasepair HiFi reads that contain multiple interacting, concatenated segments (~350 bp to 2 kbp). This multiplicity and increase in segment length versus standard short-read-based Hi-C improves read-mapping efficiency and coverage in repetitive regions and enhances haplotype phasing. CiFi pairwise interactions are largely concordant with Hi-C from a human lymphoblastoid cell line, with gains in assigning topologically associating domains across centromeres, segmental duplications, and human disease-associated genomic hotspots. As CiFi requires less input versus established methods, we apply the approach to characterize single small insects: assaying chromatin interactions across the genome from an Anopheles coluzzii mosquito and producing a chromosome-scale scaffolded assembly from a Ceratitis capitata Mediterranean fruit fly. Together, CiFi enables assessment of chromosome-scale interactions of previously recalcitrant low-complexity loci, low-input samples, and small organisms.

Indexed as

ChromosomesAnimalsAnophelesCell LineChromatinChromosome MappingHaplotypesHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNAChromatin

Identifiers

PMID41360792
PMCPMC12780124

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.