Literature DB >> 28254357

RAD-ADAPT: Software for modelling clonogenic assay data in radiation biology.

Yaping Zhang1, Kaiqiang Hu2, Jan H Beumer3, Christopher J Bakkenist4, David Z D'Argenio5.   

Abstract

We present a comprehensive software program, RAD-ADAPT, for the quantitative analysis of clonogenic assays in radiation biology. Two commonly used models for clonogenic assay analysis, the linear-quadratic model and single-hit multi-target model, are included in the software. RAD-ADAPT uses maximum likelihood estimation method to obtain parameter estimates with the assumption that cell colony count data follow a Poisson distribution. The program has an intuitive interface, generates model prediction plots, tabulates model parameter estimates, and allows automatic statistical comparison of parameters between different groups. The RAD-ADAPT interface is written using the statistical software R and the underlying computations are accomplished by the ADAPT software system for pharmacokinetic/pharmacodynamic systems analysis. The use of RAD-ADAPT is demonstrated using an example that examines the impact of pharmacologic ATM and ATR kinase inhibition on human lung cancer cell line A549 after ionizing radiation.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Clonogenic assays; Clonogenic survival curves; Linear quadratic model; Radiation biology; Single-hit multi-target model

Mesh:

Substances:

Year:  2017        PMID: 28254357      PMCID: PMC5396547          DOI: 10.1016/j.dnarep.2017.02.004

Source DB:  PubMed          Journal:  DNA Repair (Amst)        ISSN: 1568-7856


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Journal:  J Proteome Res       Date:  2012-09-18       Impact factor: 4.466

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8.  Functional analyses of ATM, ATR and Fanconi anemia proteins in lung carcinoma : ATM, ATR and FA in lung carcinoma.

Authors:  Jan H Beumer; Katherine Y Fu; Bean N Anyang; Jill M Siegfried; Christopher J Bakkenist
Journal:  BMC Cancer       Date:  2015-10-05       Impact factor: 4.430

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1.  JmjC-KDMs KDM3A and KDM6B modulate radioresistance under hypoxic conditions in esophageal squamous cell carcinoma.

Authors:  Catarina Macedo-Silva; Vera Miranda-Gonçalves; Ana Lameirinhas; Joana Lencart; Alexandre Pereira; João Lobo; Rita Guimarães; Ana Teresa Martins; Rui Henrique; Isabel Bravo; Carmen Jerónimo
Journal:  Cell Death Dis       Date:  2020-12-14       Impact factor: 8.469

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