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Saccharomyces cerevisiae as a Model to Confirm the Ability of FTIR to Evaluate the Presence of Protein Aggregates

DOI: 10.4236/sar.2018.61001, PP. 1-11

Keywords: FTIR, Saccharomyces cerevisiae, Protein Aggregates, Aging

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Abstract:

It is known that the presence of protein aggregates in biological samples is associated with natural aging processes and age-related diseases. The objective of this technical study was to evaluate the potential of Fourier Transform Infrared Spectroscopy to identify the presence of protein aggregates in Saccharomyces cerevisiae containing high levels of protein aggregates. We acquired ATR-FTIR spectra at mid-infrared range (between 4000 and 600 cm-1) and used multivariate analysis to analyze the data. Significant differences between spectra of wild type and mutant strains in the spectral range assigned to proteins were observed. In particular, an increase in β-sheet structures in mutant strains (spectral signals at 1683 and 1628 cm-1) was observed, indicating the putative presence of protein aggregates. These results prove the capacity of FTIR to evaluate changes in protein conformation, mainly protein aggregation, in a fast, simple and non-expensive way, producing insights on the possible application of this technique to the detection of protein aggregates in human biological samples.

References

[1]  Kirklanda, J.L. (2013) Translating Advances from the Basic Biology of Aging into Clinical Application. Experimental Gerontology, 48, 1-5.
https://doi.org/10.1016/j.exger.2012.11.014
[2]  WHO. Ageing and Health. http://www.who.int/mediacentre/factsheets/fs404/en/
[3]  American Federation for Aging Research (AFAR) (2011) Infoaging Guide to Biomarkers of Aging.
[4]  Davinelli, S., Caruso, C., Zella, D., Scapagnini, G. and Vasto, S. (2012) Molecular Biomarkers of Aging. INTECH Open Access Publisher.
https://doi.org/10.5772/32944
[5]  Ellis, D.I., Dunn, W.B., Griffin, J.L., Allwood, J.W. and Goodacre, R. (2007) Metabolic Fingerprinting as a Diagnostic Tool. Phar-macogenomics, 8, 1243-1266.
https://doi.org/10.2217/14622416.8.9.1243
[6]  López-Otín, C., Blasco, M.A., Partridge, L., Serrano, M. and Kroemer, G. (2016) The Hallmarks of Aging. Cell, 153, 1194-1217.
https://doi.org/10.1016/j.cell.2013.05.039
[7]  Kaushik, S. and Cuervo, A.M. (2015) Proteostasis and Aging. Nature Medicine, 21, 1406-1415.
https://doi.org/10.1038/nm.4001
[8]  Forloni, G., Artuso, V., La Vitola, P. and Balducci, C. (2016) Oligomeropathies and Pathogenesis of Alzheimer and Parkinson’s Diseases. Movement Disorders, 31, 771-781.
https://doi.org/10.1002/mds.26624
[9]  Kopito, R.R. and Ron, R. (2016) Kopito: Unfolding the Secrets of Protein Aggregation. Trends Cell Biol.
https://doi.org/10.1016/j.tcb.2016.05.001
[10]  Ludtmann, M.H.R. and Abramov, A.Y. (2016) Protein Misfolding and Aggregation: Implications for Mitochondrial Dysfunction and Neurodegeneration. In: Mitochondrial Dysfunction in Neurodegenerative Disorders; Springer, 241-253.
https://doi.org/10.1007/978-3-319-28637-2_10
[11]  Walther, D.M., Kasturi, P., Zheng, M., Pinkert, S., Vecchi, G., Ciryam, P., Morimoto, R.I., Dobson, C.M., Vendruscolo, M., Mann, M. and Hartl, F.U. (2015) Widespread Proteome Remodeling and Aggregation in Aging C. Elegans. Cell, 161, 919-932.
https://doi.org/10.1016/j.cell.2015.03.032
[12]  Xia, K., Trasatti, H., Wymer, J.P. and Colón, W. (2016) Increased Levels of Hyper-Stable Protein Aggregates in Plasma of Older Adults. Age (Omaha), 38, 1-9.
https://doi.org/10.1007/s11357-016-9919-9
[13]  Miller, L.M., Bourassa, M.W. and Smith, R.J. (2013) FTIR Spectroscopic Imaging of Protein Aggregation in Living Cells. Biochimica et Biophysica Acta, 1828, 2339-2346.
[14]  Shivu, B., Seshadri, S., Li, J., Oberg, K.A., Uversky, V.N. and Fink, A.L. (2013) Distinct β-Sheet Structure in Protein Aggregates Determined by ATR-FTIR Spectroscopy. Biochemistry, 52, 5176-5183.
https://doi.org/10.1021/bi400625v
[15]  Baker, M.J., Trevisan, J., Bassan, P., Bhargava, R., Butler, H.J., Dorling, K.M., Fielden, P.R., Fogarty, S.W., Fullwood, N.J., Heys, K.A., Hughes, C., Lasch, P., Martin-Hirsch, P.L., Obinaju, B., Sockalingum, G.D., Sulé-Suso, J., Strong, R.J., Walsh, M.J., Wood, B.R., Gardner, P. and Martin, F.L. (2014) Using Fourier Transform IR Spectroscopy to Analyze Biological Materials. Nature Protocols, 9, 1771-1791.
https://doi.org/10.1038/nprot.2014.110
[16]  Winkler, J., Tyedmers, J., Bukau, B. and Mogk, A. (2012) Chaperone Networks in Protein Disaggregation and Prion Propagation. Journal of Structural Biology, 179, 152-160.
https://doi.org/10.1016/j.jsb.2012.05.002
[17]  Denoth Lippuner, A., Julou, T. and Barral, Y. (2014) Budding Yeast as a Model Organism to Study the Effects of Age. FEMS Mi-crobiology Reviews, 38, 300-325.
https://doi.org/10.1111/1574-6976.12060
[18]  Zhou, C., Slaughter, B.D., Unruh, J.R., Eldakak, A., Rubinstein, B. and Li, R. (2011) Motility and Segregation of Hsp104-Associated Protein Aggregates in Budding Yeast. Cell, 147, 1186-1196.
https://doi.org/10.1016/j.cell.2011.11.002
[19]  Erjavec, N., Larsson, L., Grantham, J. and Nyström, T. (2007) Accelerated Aging and Failure to Segregate Damaged Proteins in Sir2 Mutants Can Be Suppressed by Overproducing the Protein Aggregation-Remodeling Factor Hsp104p. Genes & Development, 21, 2410-2421.
https://doi.org/10.1101/gad.439307
[20]  Kaeberlein, M., Burtner, C.R. and Kennedy, B.K. (2007) Recent Developments in Yeast Aging. PLOS Genetics, 3, 655-660.
https://doi.org/10.1371/journal.pgen.0030084
[21]  Magalhães, J.P. Human Aging Model Systems.
[22]  Steinkraus, K.A., Kaeberlein, M. and Kennedy, B.K. (2008) Replicative Aging in Yeast: The Means to the End. Annual Review of Cell and Developmental Biology, 24, 29-54.
https://doi.org/10.1146/annurev.cellbio.23.090506.123509
[23]  Yu, C. and Irudayaraj, J. (2005) Spectroscopic Characterization of Microorganisms by Fourier Transform Infrared Mi-crospectroscopy. Biopolymers, 77, 368-377.
https://doi.org/10.1002/bip.20247
[24]  Tang, M., McEwen, G.D., Wu, Y., Miller, C.D. and Zhou, A. (2013) Characterization and Analysis of Mycobacteria and Gram-Negative Bacteria and Co-Culture Mixtures by Raman Microspectroscopy, FTIR, and Atomic Force Microscopy. Analytical and Bioanalytical Chemistry, 405, 1577-1591.
https://doi.org/10.1007/s00216-012-6556-8
[25]  Beekes, M., Lasch, P. and Naumann, D. (2007) Analytical Applications of Fourier Transform-Infrared (FT-IR) Spectroscopy in Microbiology and Prion Research. Veterinary Microbiology, 123, 305-319.
https://doi.org/10.1016/j.vetmic.2007.04.010
[26]  Magalhães, S. and Nunes, A. (2017) Fourier Transform Infrared Spectroscopy Applied to the Study of Unicellular Models. Current Metabolomics, 5.
[27]  Barth, A. and Zscherp, C. (2002) What Vibrations Tell about Proteins. Quarterly Reviews of Biophysics, 35, 369-430.
https://doi.org/10.1017/S0033583502003815
[28]  Miller, L.M., Wang, Q., Telivala, T.P., Smith, R.J., Lanzirotti, A. and Miklossy, J. (2006) Synchrotron-Based Infrared And X-Ray Imaging Shows Focalized Accumulation of Cu And Zn Co-Localized With β-Amyloid Deposits in Alzheimer’s Disease. Journal of Structural Biology, 155, 30-37.
https://doi.org/10.1016/j.jsb.2005.09.004
[29]  Jiang, W., Saxena, A., Song, B., Ward, B.B., Beveridge, T.J. and Myneni, S.C.B. (2004) Elucidation of Functional Groups on Gram-Positive and Gram-Negative Bacterial Surfaces using Infrared Spectroscopy. Langmuir, 20, 11433-11442.
[30]  Kardas, M., Gozen, A.G. and Severcan, F. (2014) FTIR Spectroscopy Offers Hints towards Widespread Molecular Changes in Cobalt-Acclimated Freshwater Bacteria. Aquatic Toxicology, 155, 15-23.
https://doi.org/10.1016/j.aquatox.2014.05.027
[31]  Naumann, D. (2001) FT-Infrared and FT-Raman Spectroscopy in Biomedical Research. Applied Spectroscopy Reviews, 36, 239-298.
https://doi.org/10.1081/ASR-100106157

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