Applying optical spectroscopy for biomedical diagnostics at cellular and molecular level
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1 Graduate School Vito Volterra XXXI Ciclo Applying optical spectroscopy for biomedical diagnostics at cellular and molecular level candidate: supervisor: prof. Paolo Postorino
2 Motivation & final aim develop experimental techniques for early cancer detection
3 Motivation & final aim develop experimental techniques for early cancer detection capability to reveal the presence of cancer at the first stage of its progression
4 Motivation & final aim develop experimental techniques for early cancer detection capability to reveal the presence of cancer at the first stage of its progression cellular level molecular level
5 Motivation & final aim develop experimental techniques for early cancer detection capability to reveal the presence of cancer at the first stage of its progression cellular level molecular level find specific properties of cancer cells (e.g. morphological, mechanical, etc..) to be experimentally revealed
6 Motivation & final aim develop experimental techniques for early cancer detection capability to reveal the presence of cancer at the first stage of its progression cellular level molecular level identify and quantify DNA oxidative damage
7 Motivation & final aim develop experimental techniques for early cancer detection capability to reveal the presence of cancer at the first stage of its progression cellular level molecular level identify and quantify DNA oxidative damage our approach is based on Raman spectroscopy! non-disruptive technique (visible light) molecular recognition structural information aqueous samples
8 Raman spectroscopy scattered light incident light w 0 + w V w 0 w 0 w V w 0 - w V
9 Raman spectroscopy scattered light incident light w 0 + w V w 0 w 0 w V w 0 - w V information on vibrational frequencies of the system chemical bonds
10 Raman spectroscopy scattered light incident light w 0 + w V w 0 w 0 w V w 0 - w V information on vibrational frequencies of the system chemical bonds but also structural conformation local environment guanosine monophosphate DNA nucleotides guanosine triphosphate
11 Raman spectroscopy scattered light incident light w 0 + w V w 0 information on vibrational frequencies of the system DNA nucleotides guanosine triphosphate w 0 w w chemical bonds V 0 - w V but also structural conformation local environment guanosine monophosphate I R σ R ( ) I 0 enhancement of Raman signal?
12 Surface Enhanced Raman Scattering 10 8 SERS phenomenon: enhancement of Raman signal coming from molecules bound/located very closed to metallic nanostructures I R σ R ( ) I 0
13 Surface Enhanced Raman Scattering I σ ( ) I R R 0 two enhancement mechanisms: SERS phenomenon: enhancement of Raman signal coming from molecules bound/located very closed to metallic nanostructures electromagnetic enhancement surface plasmons (collective oscillation of free electron gas in the metal) chemical enhancement structural modifications (metal-molecule bound) changing polarizability
14 Surface Enhanced Raman Scattering I σ ( ) I R R 0 two enhancement mechanisms: SERS phenomenon: enhancement of Raman signal coming from molecules bound/located very closed to metallic nanostructures electromagnetic enhancement surface plasmons (collective oscillation of free electron gas in the metal) chemical enhancement structural modifications (metal-molecule bound) changing polarizability major contribution to enhancement
15 Surface Enhanced Raman Scattering I σ ( ) I R R 0 two enhancement mechanisms: SERS phenomenon: enhancement of Raman signal coming from molecules bound/located very closed to metallic nanostructures electromagnetic enhancement surface plasmons (collective oscillation of free electron gas in the metal) chemical enhancement structural modifications (metal-molecule bound) changing polarizability
16 biomedical diagnostics at cellular level
17 SERS-based diagnostics: idea 1 identify a specific property of cancer cells: folate receptor expression
18 SERS-based diagnostics: idea 1 identify a specific property of cancer cells: folate receptor expression 2 develop a SERS active nanovector based on this property and exploit it to treat different types of cells
19 SERS-based diagnostics: idea 1 identify a specific property of cancer cells: folate receptor expression 2 3 develop a SERS active nanovector based on this property and exploit it to treat different types of cells use SERS signal to discriminate healthy/cancer cells in collaboration with F. Domenici F. Bordi
20 SERS results 4-aminothiophenol (4ATP) SERS reporter folic acid biointerface gold nanoparticles 60nm diameter C. Fasolato,, F. Ripanti,.. et al, Nanoscale, 2016
21 SERS results 4-aminothiophenol (4ATP) SERS reporter gold nanoparticles 60nm diameter folic acid biointerface spectroscopic imaging! nanovector alone treated cancer cell cell alone C. Fasolato,, F. Ripanti,.. et al, Nanoscale, 2016
22 SERS results 4-aminothiophenol (4ATP) SERS reporter gold nanoparticles 60nm diameter folic acid biointerface spectroscopic imaging! treated cancer cell optical image 5mm C. Fasolato,, F. Ripanti,.. et al, Nanoscale, 2016 nanovector alone treated cancer cell cell alone cell nanovector
23 SERS results 4-aminothiophenol (4ATP) SERS reporter gold nanoparticles 60nm diameter folic acid biointerface spectroscopic imaging! treated cancer cell optical image 5mm C. Fasolato,, F. Ripanti,.. et al, Nanoscale, 2016 nanovector alone treated cancer cell cell alone cell nanovector
24 different expression of folate receptors Cell treatment & SERS screening HaCaT normal keratinocyte cell line PC3 prostatic cancer cell line HeLa cervical cancer cell line C. Fasolato,, F. Ripanti,.. et al, Nanoscale, 2016
25 different expression of folate receptors Cell treatment & SERS screening HaCaT normal keratinocyte cell line PC3 prostatic cancer cell line low SERS expected high SERS expected HeLa cervical cancer cell line very high SERS expected C. Fasolato,, F. Ripanti,.. et al, Nanoscale, 2016
26 different expression of folate receptors Cell treatment & SERS screening HaCaT normal keratinocyte cell line PC3 prostatic cancer cell line low SERS expected high SERS expected HeLa cervical cancer cell line very high SERS expected C. Fasolato,, F. Ripanti,.. et al, Nanoscale, 2016
27 different expression of folate receptors Cell treatment & SERS screening HaCaT normal keratinocyte cell line low SERS expected PC3 prostatic cancer cell line HeLa cervical cancer cell line high SERS expected very high SERS expected diagnosis only based on SERS response! C. Fasolato,, F. Ripanti,.. et al, Nanoscale, 2016
28 biomedical diagnostics at molecular level
29 DNA oxidative damage Reactive Oxygen Species modification of DNA precursor pool incorporation into genome
30 DNA oxidative damage Reactive Oxygen Species modification of DNA precursor pool 8-oxo-deoxyguanosine is the prevalent oxidized nucleotide triphosphate goal: measurement of 8-oxo-dGTP/dGTP ratio in cellular pool incorporation into genome in collaboration with F. Mazzei, Istituto Superiore di Sanità dgtp: deoxyguanosine triphosphate 8-oxo-dGTP: 8-oxo-deoxyguanosine triphosphate
31 Raman results dgtp 8-oxo-dGTP
32 Raman results dgtp 8-oxo-dGTP mixture spectra log scale
33 Raman results dgtp 8-oxo-dGTP mixture spectra These spectroscopic markers effectively depend on 8-oxo-dGTP concentration! log scale 8-oxo-dGTP dgtp = 1%
34 Low-frequency Raman results high sensitivity at very low 8-oxo-dGTP/dGTP ratio! 8-oxo-dGTP dgtp = 0.1% frequency shift
35 Low-frequency Raman results Raman very low frequency in dgtp spectrum could be associated to a particular vibration of this tetrad structure high sensitivity at very low 8-oxo-dGTP/dGTP ratio! 8-oxo-dGTP dgtp = 0.1%
36 = Low-frequency Raman results Raman very low frequency in dgtp spectrum could be associated to a particular vibration of this tetrad structure With 8-oxo-dGTP: no hydrogen bond in tetrad disordered long range structure high sensitivity at very low 8-oxo-dGTP/dGTP ratio! 8-oxo-dGTP dgtp = 0.1% H O
37 @molecular level Conclusions correct functionalization of nanovector SERS imaging SERS screening protocol allows to distinguish different cell types Raman spectroscopy as a new method to quantify oxidized nucleotides: detection threshold of 1% in fingerprint spectral region detection threshold of low frequencies successful tests with both deoxy- and ribo-guanosine preliminary results also for 8-oxo-dATP (this method WORKS!)
38 Future outcomes quantification of oxidation level in real cellular pools: extraction of dntps and NTPs pool purification of guanosine compounds from other bases SERS of DNA nucleotides: adsorb or covalently bind nucleotides on metal nanostructures improve sensitivity in damage detection identify the percentage of oxidized bases in DNA/RNA chain side project: reveal formation and inhibition mechanisms of insulin fibrils combining microscopy and spectroscopy techniques
39 Acknowledgments & collaborations F. Domenici F. Bordi F. Mazzei M. Bignami A. Nucara and thank you for your kind attention! A. Filabozzi
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