Evidence map›Paper›PMID 36595899›Full record

ArticleSTAR protocols2022

Protocol to measure end resection intermediates at sequence-specific DNA double-strand breaks by quantitative polymerase chain reaction using ER-AsiSI U2OS cells.

Ajit K Sharma, Amira Mohammed Fitieh, Jana Yasser Hafez Ali, Ismail Hassan Ismail

Open access · goldAbstract read
In one paragraph

Article in STAR protocols, 2022. 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
0.3field-weighted citation impact, top 47% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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

4 authors at 2 institutions in 2 countries.

Ajit K SharmaDepartment of Oncology, Faculty of Medicine & Dentistry, University of Alberta, Cross Cancer Institute, 11560 University Avenue, Edmonton, AB T6G 1Z2, Canada.
Amira Mohammed FitiehDepartment of Oncology, Faculty of Medicine & Dentistry, University of Alberta, Cross Cancer Institute, 11560 University Avenue, Edmonton, AB T6G 1Z2, Canada; Biophysics Department, Faculty of Science, Cairo University, Giza 12613, Egypt.
Jana Yasser Hafez AliDepartment of Oncology, Faculty of Medicine & Dentistry, University of Alberta, Cross Cancer Institute, 11560 University Avenue, Edmonton, AB T6G 1Z2, Canada.
Ismail Hassan IsmailDepartment of Oncology, Faculty of Medicine & Dentistry, University of Alberta, Cross Cancer Institute, 11560 University Avenue, Edmonton, AB T6G 1Z2, Canada; Biophysics Department, Faculty of Science, Cairo University, Giza 12613, Egypt. Electronic address: iismail@ualberta.ca.
Cairo University · EGUniversity of Alberta · CA

Funding

CIHR 154485
6 · The paper itself

Abstract

DNA end resection is a critical step in the homologous recombination pathway of repairing DNA double-strand breaks (DSBs) that can be visualized in cells by detecting the generation of single-stranded DNA (ssDNA) intermediates formed during the resection of the DSBs. Here, we describe quantitative polymerase-chain-reaction-based procedures to quantitatively measure ssDNA intermediates formed during the DNA end resection. Using the ER-AsiSI system, we use differential digestion patterns by restriction endonucleases that digest unresected double-stranded DNA at DSB sites. For complete details on the use and execution of this protocol, please refer to Fitieh et al. (2022).

Indexed as

DNA Breaks, Double-StrandedDNA RepairDNADNA, Single-StrandedPolymerase Chain ReactionDNADNA, Single-StrandedCell BiologyMolecular BiologyProtein Biochemistry

Identifiers

PMID36595899
PMCPMC9678777
OpenAlexW4309264060

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.