Evidence map›Paper›PMID 36016714›Full record

ArticleComputational and structural biotechnology journal2022

Attila Beleon, Sara Pignatta, Chiara Arienti, Antonella Carbonaro, Peter Horvath, Giovanni Martinelli, Gastone Castellani, Anna Tesei, Filippo Piccinini

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

9 authors.

Attila BeleonSynthetic and Systems Biology Unit, Biological Research Centre (BRC), H-6726 Szeged, Hungary.
Sara PignattaIRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", I-47014 Meldola (FC), Italy.
Chiara ArientiIRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", I-47014 Meldola (FC), Italy.
Antonella CarbonaroDepartment of Computer Science and Engineering (DISI), University of Bologna, I-47521 Cesena, Italy.
Peter HorvathSynthetic and Systems Biology Unit, Biological Research Centre (BRC), H-6726 Szeged, Hungary.
Giovanni MartinelliIRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", I-47014 Meldola (FC), Italy.
Gastone CastellaniDepartment of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, I-40126 Bologna, Italy.
Anna TeseiIRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", I-47014 Meldola (FC), Italy.
Filippo PiccininiIRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", I-47014 Meldola (FC), Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comet assay provides an easy solution to estimate DNA damage in single cells through microscopy assessment. It is widely used in the analysis of genotoxic damages induced by radiotherapy or chemotherapeutic agents. DNA damage is quantified at the single-cell level by computing the displacement between the genetic material within the nucleus, typically called "comet head", and the genetic material in the surrounding part of the cell, considered as the "comet tail". Today, the number of works based on Comet Assay analyses is really impressive. In this work, besides revising the solutions available to obtain reproducible and reliable quantitative data, we developed an easy-to-use tool named

Indexed as

Comet assayDeep learningMicroscopyOncologyQuantitative analysisSilver and fluorescence staining

Identifiers

PMID36016714
PMCPMC9385450

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.