Evidence map›Paper›PMID 39701025›Full record

ReviewBMB reports2025

Single-molecule studies of repair proteins in base excision repair.

Donghun Lee, Gwangrog Lee

Abstract readReview
In one paragraph

Review in BMB reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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

2 authors.

Donghun LeeDepartment of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, Korea.
Gwangrog LeeDepartment of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Base excision repair (BER) is an essential cellular mechanism that repairs small, non-helix-distorting base lesions in DNA, resulting from oxidative damage, alkylation, deamination, or hydrolysis. This review highlights recent advances in understanding the molecular mechanisms of BER enzymes through single-molecule studies. We discuss the roles of DNA glycosylases in lesion recognition and excision, with a focus on facilitated diffusion mechanisms such as sliding and hopping that enable efficient genome scanning. The dynamics of apurinic/apyrimidinic endonucleases, especially the coordination between APE1 and DNA polymerase β (Pol β), are explored to demonstrate their crucial roles in processing abasic sites. The review further explores the short-patch and long-patch BER pathways, emphasizing the activities of Pol β, XRCC1, PARP1, FEN1, and PCNA in supporting repair synthesis and ligation. Additionally, we highlight the emerging role of UV-DDB as a general damage sensor in BER, extending its recognized function beyond nucleotide excision repair. Single-molecule techniques have been instrumental in uncovering the complex interactions and mechanisms of BER proteins, offering unprecedented insights that could guide future therapeutic strategies for maintaining genomic stability. [BMB Reports 2025; 58(1): 17-23].

Indexed as

DNA RepairSingle Molecule ImagingAnimalsDNADNA-(Apurinic or Apyrimidinic Site) LyaseDNA DamageDNA GlycosylasesDNA Polymerase betaExcision RepairFlap EndonucleasesHumansPoly (ADP-Ribose) Polymerase-1Proliferating Cell Nuclear AntigenX-ray Repair Cross Complementing Protein 1DNADNA-(Apurinic or Apyrimidinic Site) LyaseDNA GlycosylasesDNA Polymerase betaFlap EndonucleasesPoly (ADP-Ribose) Polymerase-1Proliferating Cell Nuclear AntigenX-ray Repair Cross Complementing Protein 1

Identifiers

PMID39701025
PMCPMC11788526

What OpenQuestion holds

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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.