Evidence map›Paper›PMID 35819189›Full record

ArticleNucleic acids research2022

De novo assembly of human genome at single-cell levels.

Haoling Xie, Wen Li, Yuqiong Hu, Cheng Yang, Jiansen Lu, Yuqing Guo, Lu Wen, Fuchou Tang

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 30 citations in OpenAlex.

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  10. Advances in single-cell long-read sequencing technologies.NAR genomics and bioinformatics · 2024
    Article
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  19. Article
  20. Review
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

8 authors at 1 institution in 1 country.

Haoling XieSchool of Life Sciences, Biomedical Pioneering Innovation Center, Peking University, Beijing 100871, China.
Wen LiSchool of Life Sciences, Biomedical Pioneering Innovation Center, Peking University, Beijing 100871, China.
Yuqiong HuSchool of Life Sciences, Biomedical Pioneering Innovation Center, Peking University, Beijing 100871, China.
Cheng YangSchool of Life Sciences, Biomedical Pioneering Innovation Center, Peking University, Beijing 100871, China.
Jiansen LuSchool of Life Sciences, Biomedical Pioneering Innovation Center, Peking University, Beijing 100871, China.
Yuqing GuoSchool of Life Sciences, Biomedical Pioneering Innovation Center, Peking University, Beijing 100871, China.
Lu WenSchool of Life Sciences, Biomedical Pioneering Innovation Center, Peking University, Beijing 100871, China.ORCID 0000-0002-1773-1876
Fuchou TangSchool of Life Sciences, Biomedical Pioneering Innovation Center, Peking University, Beijing 100871, China.ORCID 0000-0002-8625-7717
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome assembly has been benefited from long-read sequencing technologies with higher accuracy and higher continuity. However, most human genome assembly require large amount of DNAs from homogeneous cell lines without keeping cell heterogeneities, since cell heterogeneity could profoundly affect haplotype assembly results. Herein, using single-cell genome long-read sequencing technology (SMOOTH-seq), we have sequenced K562 and HG002 cells on PacBio HiFi and Oxford Nanopore Technologies (ONT) platforms and conducted de novo genome assembly. For the first time, we have completed the human genome assembly with high continuity (with NG50 of ∼2 Mb using 95 individual K562 cells) at single-cell levels, and explored the impact of different assemblers and sequencing strategies on genome assembly. With sequencing data from 30 diploid individual HG002 cells of relatively high genome coverage (average coverage ∼41.7%) on ONT platform, the NG50 can reach over 1.3 Mb. Furthermore, with the assembled genome from K562 single-cell dataset, more complete and accurate set of insertion events and complex structural variations could be identified. This study opened a new chapter on the practice of single-cell genome de novo assembly.

Indexed as

Genome, HumanNanoporesChromosome MappingHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNA

Identifiers

PMID35819189
PMCPMC9303314
OpenAlexW4285077392

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.