Fourier Transform Infrared (FT-IR) spectroscopy is a powerful analytical technique to obtain molecular fingerprints of various biological samples. Several studies have indicated the potential use of this technique for distinguishing between healthy and cancerous cells [1,2] and among different cell lines [3,4]. This study aims to compare the FT-IR spectra of three distinct cell lines, SH-SY5Y (neuroblastoma), HepG2 (hepatocellular carcinoma), and MCF-10A (epithelial mammary), to identify characteristic features in their spectra that can be used for this purpose. The cells were grown on MirrIR substrates, and the spectra were acquired in transflection mode using the microscopic stage of a Perkin Elmer Spectrum One Spectrometer equipped with a mercury cadmium telluride (MCT) detector. The FTIR spectra revealed significant protein, lipid, and nucleic acid content variations among the cell lines. The differences mentioned above reflect each cell type's unique biochemical environment and metabolic states. This distinction can help identify different cell lines. Understanding these spectral differences can provide insights into the molecular basis of cellular functions and aid in the development of cell-specific therapeutic strategies.
References
[1] M. Lasalvia, V. Capozzi, G. Classification of healthy and cancerous colon cells by Fourier transform infrared spectroscopy Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 321 (2024) 124683
[2] W.M. Elshemey, A.M. Ismail, N.S. Elbialy, Molecular-level characterization of normal, benign, and malignant breast tissues using FTIR spectroscopy, J. Med. Biol. Eng. 36 (2016) 369–378.
[3] Zendehdel R, H Shirazi F. Discrimination of Human Cell Lines by Infrared Spectroscopy and Mathematical Modeling. Iran J Pharm Res. 2015 Summer;14(3):803-10.
[4] Yadi Wang, Wentao Dai, Zhixiao Liu, Jixiang Liu, Jie Cheng, Yuanyuan Li, Xueling Li, Jun Hu, and Junhong Lü Single-Cell Infrared Microspectroscopy Quantifies Dynamic Heterogeneity of Mesenchymal Stem Cells during Adipogenic Differentiation Analytical Chemistry 2021 93 (2), 671-676.
