Evidence map›Paper›PMID 37620373›Full record

ArticleNature communications2023

Long-read whole-genome analysis of human single cells.

Joanna Hård, Jeff E Mold, Jesper Eisfeldt, Christian Tellgren-Roth, Susana Häggqvist, Ignas Bunikis, Orlando Contreras-Lopez, Chen-Shan Chin, Jessica Nordlund, Carl-Johan Rubin and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
6.2field-weighted citation impact, top 3% of its field
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

34 citing papers in PubMed, 45 citations in OpenAlex.

  1. Review
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  11. Long and Accurate: How HiFi Sequencing is Transforming Genomics.Genomics, proteomics & bioinformatics · 2025
    Review
  12. Article
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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

13 authors at 4 institutions in 2 countries.

Joanna HårdDepartment of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden. joanna.hard@bsse.ethz.ch.
Jeff E MoldDepartment of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden.
Jesper EisfeldtDepartment of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.
Christian Tellgren-RothScience for Life Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0003-0502-3693
Susana HäggqvistScience for Life Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Ignas BunikisScience for Life Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Orlando Contreras-LopezScience for Life Laboratory, Royal Institute of Technology (KTH), Stockholm, Sweden.
Chen-Shan ChinGeneDX LLC, Stamford, CT, 06902, USA.ORCID http://orcid.org/0000-0003-4394-2455
Jessica NordlundScience for Life Laboratory, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0001-8699-9959
Carl-Johan RubinDepartment of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0001-8238-5052
Lars FeukScience for Life Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0003-2355-2919
Jakob MichaëlssonCenter for Infectious Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
Adam AmeurScience for Life Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden. adam.ameur@igp.uu.se.ORCID http://orcid.org/0000-0001-6085-6749
Uppsala University · SEKarolinska Institutet · SEKarolinska University Hospital · SEScience for Life Laboratory · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-read sequencing has dramatically increased our understanding of human genome variation. Here, we demonstrate that long-read technology can give new insights into the genomic architecture of individual cells. Clonally expanded CD8+ T-cells from a human donor were subjected to droplet-based multiple displacement amplification (dMDA) to generate long molecules with reduced bias. PacBio sequencing generated up to 40% genome coverage per single-cell, enabling detection of single nucleotide variants (SNVs), structural variants (SVs), and tandem repeats, also in regions inaccessible by short reads. 28 somatic SNVs were detected, including one case of mitochondrial heteroplasmy. 5473 high-confidence SVs/cell were discovered, a sixteen-fold increase compared to Illumina-based results from clonally related cells. Single-cell de novo assembly generated a genome size of up to 598 Mb and 1762 (12.8%) complete gene models. In summary, our work shows the promise of long-read sequencing toward characterization of the full spectrum of genetic variation in single cells.

Indexed as

Genome, HumanGenomicsCD8-Positive T-LymphocytesCell CycleGenome SizeHumans

Identifiers

PMID37620373
PMCPMC10449900
OpenAlexW4386136248

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.