Evidence map›Paper›PMID 36213110›Full record

ArticleBio-protocol2022

Detection of Alternative End-Joining in HNSC Cell Lines Using DNA Double-Strand Break Reporter Assays.

Nan Zuo, Lin Ma, Weitao Hu, Yongqiang Deng, Lanlan Wei, Qi Liu

Open access · greenAbstract read
In one paragraph

Article in Bio-protocol, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 57% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 1 institution in 1 country.

Nan ZuoShenzhen Bay Laboratory, Shenzhen, Guangdong, China.
Lin MaDepartment of Stomatology, Shenzhen University General Hospital, Shenzhen University, Shenzhen, Guangdong 518055, China.
Weitao HuDepartment of Stomatology, Shenzhen University General Hospital, Shenzhen University, Shenzhen, Guangdong 518055, China.
Yongqiang DengDepartment of Stomatology, Shenzhen University General Hospital, Shenzhen University, Shenzhen, Guangdong 518055, China.
Lanlan WeiDepartment of Stomatology, the First Hospital, Harbin Medical University, Harbin, Heilongjiang, China.
Qi LiuShenzhen Bay Laboratory, Shenzhen, Guangdong, China.
Shenzhen Bay Laboratory · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The main cellular pathways to repair DNA double-strand breaks (DSBs) and protect the integrity of the genome are homologous recombination (HR), non-homologous end-joining (NHEJ), and alternative end-joining (Alt-EJ). Polymerase theta-regulated Alt-EJ is an error-prone DSB repair pathway characterized by microhomology usage. Considering its importance in cancer treatment, technologies for detection of Alt-EJ in cancer cells may facilitate the study of the mechanisms of carcinogenesis and the development of new therapeutic targets. DSB reporter assay is the classical method for detecting Alt-EJ, which is primarily based on components of EJ2-puro cassette integration, I-SceI cleaving, and flow cytometry analysis. Here, we described an assay based on a modified I-Scel plasmid that can screen head and neck squamous cell carcinoma (HNSC) cells that were successfully transfected using selection medium with hygrovetine. We expect that this protocol will improve the fidelity and accuracy of reporter assays. Graphical abstract: Schematic overview of the workflow for establishment of Alt-EJ reporters.

Indexed as

Alternative end-joiningDNA double-strand breakFlow cytometryHead and neck squamous cell carcinomaReporter assays

Identifiers

PMID36213110
PMCPMC9501725
OpenAlexW4294605478

What OpenQuestion holds

Textmetadata
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.