Application of Artificial Neural Network for Modeling and Prediction of MTT Assay on Human Lung Epithelial Cancer Cell Lines

Taghipour M Vand AA

doi:10.4172/2155-6210.1000170

Abstract

In this paper, a three-layer artificial neural network (ANN) was investigated to predict the inhibitory concentration (IC) values assessed via MTT cell viability assay on the four types of human lung epithelial cancer cell lines. In order to achieve this purpose, a multilayer perceptron (MLP) neural network trained with back-propagation algorithm was employed for developing the ANN model. To develop the model, the input parameters were concentrations and types of cell lines and the outputs were IC10, IC20, IC30, IC40, IC50, IC60, IC70 and IC80 values in the A549, H157, H460 and H1975 cell lines. The proposed ANN model has achieved good agreement with the experimental data and has a small error between the estimated and experimental values. The obtained results show that the proposed ANN model is a useful, reliable, fast and cheap tool to predict the IC values assessed via MTT cell viability assays.

Highlights

Many biological assays require the measurement of surviving and/or proliferating mammalian cells
In 1983, a new and rapid quantitative colorimetric assay, based on the tetrazolium salt thiazolyl blue, for mammalian cell survival and cell proliferation was proposed by Mosmann [1]
On recognizing and application these advantages of artificial neural network (ANN) in MTT assays, in the current study, we report the design, training and validation of a feed-forward ANN to predict the inhibitory concentration (IC) data such that the designed ANN would (A) make sufficient use of the existing ICs data table of an available set of experimental data about chrysin enhances doxorubicin-induced cytotoxicity in human lung epithelial cancer cell lines by Brechbuhl et al [13], (B) predict the ICs evaluated with a MTT assay in human lung epithelial cancer cell lines treated with chrysin before exposure to DOX

Summary

Introduction

Many biological assays require the measurement of surviving and/or proliferating mammalian cells. Colorimetric assay using the tetrazolium salt thiazolyl blue, termed MTT, after methylthiazolyl-tetrazolium [2] is widely used for assessment of cytotoxicity, cell viability and proliferation studies in cell biology [2,3,4,5]. This test is based on the cellular uptake of MTT and its subsequent reduction in the mitochondria of living cells to MTT formazan (a dark, water insoluble and blue product) [6]. The method has been extended and improved by several authors [7,8,9,10]

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Results

Conclusion