Evidence map›Paper›PMID 36198706›Full record

ArticleNature communications2022

Complex genomic patterns of abasic sites in mammalian DNA revealed by a high-resolution SSiNGLe-AP method.

Ye Cai, Huifen Cao, Fang Wang, Yufei Zhang, Philipp Kapranov

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
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  5. Review
  6. Dynamic Assemblies in Genome Maintenance.Advances in experimental medicine and biology · 2026
    Review
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  15. Age- and Lifespan-Dependent Differences in GO Caused DNA Damage inInternational journal of molecular sciences · 2022
    Article
  16. Article
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

5 authors at 1 institution in 1 country.

Ye CaiInstitute of Genomics, School of Medicine, Huaqiao University, 668 Jimei Road, 361021, Xiamen, China.
Huifen CaoInstitute of Genomics, School of Medicine, Huaqiao University, 668 Jimei Road, 361021, Xiamen, China. hfcao@hqu.edu.cn.
Fang WangInstitute of Genomics, School of Medicine, Huaqiao University, 668 Jimei Road, 361021, Xiamen, China.
Yufei ZhangInstitute of Genomics, School of Medicine, Huaqiao University, 668 Jimei Road, 361021, Xiamen, China.
Philipp KapranovInstitute of Genomics, School of Medicine, Huaqiao University, 668 Jimei Road, 361021, Xiamen, China. philippk08@hotmail.com.ORCID 0000-0003-2647-4856
Huaqiao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA damage plays a critical role in biology and diseases; however, how different types of DNA lesions affect cellular functions is far from clear mostly due to the paucity of high-resolution methods that can map their locations in complex genomes, such as those of mammals. Here, we present the development and validation of SSiNGLe-AP method, which can map a common type of DNA damage, abasic (AP) sites, in a genome-wide and high-resolution manner. We apply this method to six different tissues of mice with different ages and human cancer cell lines. We find a nonrandom distribution of AP sites in the mammalian genome that exhibits dynamic enrichment at specific genomic locations, including single-nucleotide hotspots, and is significantly influenced by gene expression, age and tissue type in particular. Overall, these results suggest that we are only starting to understand the true complexities in the genomic patterns of DNA damage.

Indexed as

DNADNA DamageAnimalsDNA RepairGenomicsHumansMammalsMiceNucleotidesDNANucleotides

Identifiers

PMID36198706
PMCPMC9534904
OpenAlexW4301430890

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.