: Measurement of DNA migration in the comet assay can be done by image analysis or visual scoring. The latter accounts for 20-25% of the published comet assay results. Here we assess the intra- and inter-investigator variability in visual scoring of comets. We include three training sets of comet images, which can be used as reference for researchers who wish to use visual scoring of comets. Investigators in 11 different laboratories scored the comet images using a five-class scoring system. There is inter-investigator variation in the three training sets of comets (i.e. coefficient of variation (CV) = 9.7%, 19.8% and 15.2% in training sets I-III, respectively). However, there is also a positive correlation of inter-investigator scoring in the three training sets (r = 0.60). Overall, 36% of the variation is attributed to inter-investigator variation and 64% stems from intra-investigator variation in scoring between comets (i.e. the comets in training sets I-III look slightly different and this gives rise to heterogeneity in scoring). Intra-investigator variation in scoring was also assessed by repeated analysis of the training sets by the same investigator. There was larger variation when the training sets were scored over a period of six months (CV = 5.9-9.6%) as compared to one week (CV = 1.3-6.1%). A subsequent study revealed a high inter-investigator variation when premade slides, prepared in a central laboratory, were stained and scored by investigators in different laboratories (CV = 105% and 18-20% in premade slides with comets from unexposed and hydrogen peroxide-exposed cells, respectively). The results indicate that further standardization of visual scoring is desirable. Nevertheless, the analysis demonstrates that visual scoring is a reliable way of analysing DNA migration in comets.

Visual comet scoring revisited: a guide to scoring comet assay slides and obtaining reliable results / Møller, Peter; Azqueta, Amaya; Sanz-Serrano, Julen; Bakuradze, Tamara; Richling, Elke; Bankoglu, Ezgi Eyluel; Stopper, Helga; Bastos, Victoria Claudino; Langie, Sabine A S; Jensen, Annie; Scavone, Francesca; Giovannelli, Lisa; Wojewódzka, Maria; Kruszewski, Marcin; Valdiglesias, Vanessa; Laffon, Blanca; Costa, Carla Trindade; Costa, Solange; Teixeira, João Paulo; Marino, Mirko; Del Bo', Cristian; Riso, Patrizia; Zheng, Congying; Shaposhnikov, Sergey; Collins, Andrew. - In: MUTAGENESIS. - ISSN 0267-8357. - ELETTRONICO. - 38:(2023), pp. 253-263. [10.1093/mutage/gead015]

Visual comet scoring revisited: a guide to scoring comet assay slides and obtaining reliable results

Scavone, Francesca;Giovannelli, Lisa;
2023

Abstract

: Measurement of DNA migration in the comet assay can be done by image analysis or visual scoring. The latter accounts for 20-25% of the published comet assay results. Here we assess the intra- and inter-investigator variability in visual scoring of comets. We include three training sets of comet images, which can be used as reference for researchers who wish to use visual scoring of comets. Investigators in 11 different laboratories scored the comet images using a five-class scoring system. There is inter-investigator variation in the three training sets of comets (i.e. coefficient of variation (CV) = 9.7%, 19.8% and 15.2% in training sets I-III, respectively). However, there is also a positive correlation of inter-investigator scoring in the three training sets (r = 0.60). Overall, 36% of the variation is attributed to inter-investigator variation and 64% stems from intra-investigator variation in scoring between comets (i.e. the comets in training sets I-III look slightly different and this gives rise to heterogeneity in scoring). Intra-investigator variation in scoring was also assessed by repeated analysis of the training sets by the same investigator. There was larger variation when the training sets were scored over a period of six months (CV = 5.9-9.6%) as compared to one week (CV = 1.3-6.1%). A subsequent study revealed a high inter-investigator variation when premade slides, prepared in a central laboratory, were stained and scored by investigators in different laboratories (CV = 105% and 18-20% in premade slides with comets from unexposed and hydrogen peroxide-exposed cells, respectively). The results indicate that further standardization of visual scoring is desirable. Nevertheless, the analysis demonstrates that visual scoring is a reliable way of analysing DNA migration in comets.
2023
38
253
263
Møller, Peter; Azqueta, Amaya; Sanz-Serrano, Julen; Bakuradze, Tamara; Richling, Elke; Bankoglu, Ezgi Eyluel; Stopper, Helga; Bastos, Victoria Claudino; Langie, Sabine A S; Jensen, Annie; Scavone, Francesca; Giovannelli, Lisa; Wojewódzka, Maria; Kruszewski, Marcin; Valdiglesias, Vanessa; Laffon, Blanca; Costa, Carla Trindade; Costa, Solange; Teixeira, João Paulo; Marino, Mirko; Del Bo', Cristian; Riso, Patrizia; Zheng, Congying; Shaposhnikov, Sergey; Collins, Andrew
File in questo prodotto:
File Dimensione Formato  
Moller et al Mutagenesis 2023 b.pdf

Accesso chiuso

Tipologia: Pdf editoriale (Version of record)
Licenza: Tutti i diritti riservati
Dimensione 1.68 MB
Formato Adobe PDF
1.68 MB Adobe PDF   Richiedi una copia

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1317291
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 5
  • ???jsp.display-item.citation.isi??? 2
social impact