Repository of Research and Investigative Information

Repository of Research and Investigative Information

Ahvaz Jundishapur University of Medical Sciences

Investigation of gene expressions in differentiated cell derived bone marrow stem cells during bone morphogenetic protein-4 treatments with Fourier transform infrared spectroscopy

Zafari, J. and Jouni, F. J. and Ahmadvand, A. and Abdolmaleki, P. and Soodi, M. and Zendehdel, R. (2017) Investigation of gene expressions in differentiated cell derived bone marrow stem cells during bone morphogenetic protein-4 treatments with Fourier transform infrared spectroscopy. Spectrochimica Acta Part a-Molecular and Biomolecular Spectroscopy, 173. pp. 695-703. ISSN 1386-1425

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Official URL: <Go to ISI>://WOS:000390502900094

Abstract

A model was set up to predict the differentiation patterns based on the data extracted from FTIR spectroscopy. For this reason, bone marrow stem cells (BMSCs) were differentiated to primordial germ cells (PGCs). Changes in cellular macromolecules in the time of 0, 24, 48, 72, and 96 h of differentiation, as different steps of the differentiation procedure were investigated by using FTIR spectroscopy. Also, the expression of pluripotency (Oct-4, Nanog and c-Myc) and specific genes (Mvh, Stella and Fragilis) were investigated by real-time PCR. However, the expression of genes in five steps of differentiation was predicted by FTIR spectroscopy. FTIR spectra showed changes in the template of band intensities at different differentiation steps. There are increasing changes in the stepwise differentiation procedure for the ratio area of CH2, which is symmetric to CH2 asymmetric stretching. An ensemble of expert methods, including regression tree (RT), boosting algorithm (BA), and generalized regression neural network (GRNN), was the best method to predict the gene expression by FTIR spectroscopy. In conclusion, the model was able to distinguish the pattern of different steps from cell differentiation by using some useful features extracted from FTIR spectra. (C) 2016 Elsevier B.V. All rights reserved.

Item Type: Article
Keywords: ftir gene expression regression models differentiation ft-ir spectroscopy primordial germ-cells embryonic stem in-vitro raman-spectroscopy functional-changes prostate-cancer microspectroscopy tissue populations
Subjects: R Medicine > R Medicine (General)
Divisions: Faculty of Medicine, Health and Life Sciences
Depositing User: مهندس مهدی شریفی
Last Modified: 01 Jun 2018 13:09
URI: http://eprints.ajums.ac.ir/id/eprint/17510

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