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Control and Regulation of Stem Cell Differentiation
Triggering using Nanoparticles
Prof. Hugh J. Byrne
Dr Alan Casey
Dr Esen Efeoglu
Francesca Ravera, MSc., Ph.D Fiosraigh Scholar
City Campus, School of Physics and Clinical & Optometric Sciences
Nanolab Group
FOCAS Research Institute,
TU Dublin, Dublin 8, Ireland
Annual Evaluation 2020
Project Overview
Bone marrow derived adult
rodent Mesenchymal Stem
Cells (MSCs)
20 𝜇m
Chondrogenic differentiation
Raman
Microspectroscopy Nanoparticle exposure
Osteogenic differentiation
20 𝜇m
produce and
maintain the
cartilaginous matrix
star-shaped type
of bone cell
 in vitro monitoring of stem cells
differentiation process
Bone marrow derived adult
rodent Mesenchymal Stem Cells
20 𝜇m
14 day Chondrocytes 24 hour 40 nm Carboxylate-modified
Polystyrene exposed Chondrocyte
20 𝜇m 20 𝜇m
 Identifying the biochemical and
spectral markers of cellular events
governing the differentiation
MSCs differentiation
 Nanoparticle exposure, trafficking and
localisation
 Explore the interaction mechanisms,
changes and cellular responses
Research Objectives
3. Demonstrate the
dependence of control of
stem-cell triggering on the
physico-chemical
properties of the
nanoparticles for a
regulation of cells
commitment and
differentiation.
2. Provide an understanding of
structure-activity
relationships governing the
influence of the
nanoparticles on
differentiation, suppression
and enhancement of the
differentiation ratio.
1. Demonstrate that Raman
microspectroscopy can be
used to monitor and
better understand the
processes of
differentiation of stem
cells at a subcellular level
in vitro.
Next 12 months objectives:
Characterisation of the identified chondrogenic differentiation markers using
mass spectrometry imaging.
Identification and characterisation of commercially available nanoparticles and
in vitro investigation of toxicological properties of the nanomaterials.
Monitoring of nanoparticle uptake and localisation, and systematic
characterisation of spectroscopic signatures of differentiation without NP
exposure.
Methodology
Raman Microspectroscopy
 Simultaneous detection of
macromolecules
 Non-destructive, non-invasive
 Minimal sample preparation
 Label free, no dyes or toxic waste
products
 High specificity suitability for biological
sample in native state
 Water can be used as solvent
 Suitable for chemical analysis,
quantification, classification and
imaging of biological samples
Scattering of light: interacts
without causing electronic
transitions
The Raman Effect
400 600 800 1000 1200 1400 1600 1800
0
0.05
0.1
Wavenumbers cm-1
Intensity
Determination of spectral features of Mesenchymal Stem Cells
Nucleolus
Nucleus
Cytoplasm
7dayMeanSpectra
DNA/RNA LipidsProteins
Principle Components Analysis for comparison of cytoplasm
region, nucleus and nucleolus region of rMsc
Nucleolus
Cytoplasm
Nucleus
Loading 1
Nucleolus
Cytoplasm
Nucleus
Principle Components Analysis for comparison of cytoplasm
region, nucleus and nucleolus region of rMsc
Results
The study of the substrates
In vitro cell culture
environment investigation:
Comparison of 2D and 3D
culture models.
CaF2
Collagen
CaF2
Collagen
CaF2
Collagen
PCA scatter plot and loading of PC1 of comparison of cytoplasm, nucleus and
nucleolus region of rMSC grown on CaF2 and Collagen substrates
Cytoplasm Nucleus Nucleolus
Comparison of Raman spectra of two substrates.
Mean spectrum of Collagen and CaF2
M. Gargotti, E. Efeoglu, H. J. Byrne and A. Casey, Analytical and Bioanalytical
Chemistry, 2018, 410, 7537–7550.
0 100 200 300 400 500 600 700 800 900 1000
0
2000
4000
6000
8000
10000
12000
RAW SPECTRUM
BACKGROUND
(CaF2)
REFERENCE
SPECTRUM
CORRECTED
SPECTRUM
Pre-processing prior multivariate analysis:
Development of Improved Extended Multiplicative Scatter Correction
Raw data EMSC effectively removes both the background and
adjusts the baseline
 Explore the effect of these on subsequent multivariate
analysis for the purpose of cell classification
In vitro monitoring of Mesenchymal stem cell
differentiation to Chondrocytes using Raman
Microspectroscopy
(Amarilio et al., 2007)
Extracellular Matrix
Chondrogenic pellet development
7 Days Chondrogenic Pellet Development 14 Days Chondrogenic Pellet Development
21 Days Chondrogenic Pellet Development
A) B)
C)A
B
C
Centre Region
Intermediate Region
Edge Region
Monitoring of Chondrogenic Pellet formation using Raman Microspectroscopy
Achievements and Future
Work
Overall Progresses
Team Work and Collaboration
‘’ Being able to determine
the best approach to a
question, find relevant data,
design a way to analyze it,
understand a large amount
of data, and then synthesize
your findings. ‘’
Leadership and Project
Management
Mentoring and teaching
other students as a teacher
or mentor, motivating
someone and help them
accomplish a goal. You also
get experience evaluating
someone’s performance
(grading) and giving
constructive feedback.
Critical Thinking
To approach problems
systematically, see the links
between ideas, evaluate
arguments, and analyze
information to come up with
your own conclusions.
Building your dissertation is
a solo project, but on a day
to day basis you work with
other people
knowing how to divide up a
task, get along with others,
communicate effectively,
and resolve conflict.
• Range of data
acquisition and analysis
software has been used
to extract information.
• Cell culture and cellular
assays bio-imaging
techniques.
• Spectroscopy techniques
Multidisciplinary
Skills
Lab Work and Research
Modules accomplished so far
ENEH 1004 Multivariate Analysis &
Data Mining for Biomedical
Application 1
Lecturer: Dr Aidan Meade
GradCAM XXXX Philosophy of Science
and Technology
Lecturer: Prof Noel Fitzpatrick
GRSO 1012 Research Integrity
Lecturer: Dr Steve Meaney ; Prof
Mary McNamara
GRSO 1011 Research Information
Retrieval, Literature Review
Skills and Academic Profile for
STEM
Lecturer: Dr Marek Rebow
9th Annual Graduate Research Symposium
Poster presentation: “Raman
Microspectroscopy for in vitro monitoring of
Mesenchymal Stem Cell differentiation into
different lineages and the effect of
Nanoparticles on differentiation process”
Microscopy Society of Ireland Winter
Symposium 2019 University College Dublin
Oral presentation “Control and Regulation of
Stem Cell Differentiation Triggering using
Nanoparticles”
Raman4clinics-Raman-based applications for
clinical diagnostics COST Training Summer
School 2018 University of Coimbra Interactive
Workshop
Conferences and academic events
The International Society for Clinical Spectroscopy
Summer School workshop Lake Windermare 2019
Techniques & Strategies in Molecular Medicine
Workshop 2019 Trinity College Dublin
Introduction to Molecolar
Spectroscopy University of
Manchester
Introduction to Programming with
MATLAB Vanderbilt University
From Diseases to Genes and Back
Novosibirsk University
FUTURE
WORK
- Characterization of
chondrogenic differentiation
markers using mass
spectrometry imaging
- Publication on Chondrogenic
and Osteogenic differentiation,
conducted by sub-culturing the
cell lines on different coated
and non-coated surfaces and
substrates
- Planned Conferences:
Before COVID: Spring SciX
2020.
XXVII International Conference
on Raman Spectroscopy
(ICORS) Rome 2020
- To perform the nanoparticle
exposure and an in vitro
investigation of
toxicological properties of the
nanomaterials, monitoring the
uptake and
localisation, and systematic
characterisation of
spectroscopic signatures
of differentiation without NP
exposure;
- Publication on nanoparticle
internalisation and trafficking in
stem cells by bio-imaging
techniques and vibrational
spectroscopy
THANK YOU!

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GenBio2 - Lesson 1 - Introduction to Genetics.pptx
 

Project.2020 ravera

  • 1. Control and Regulation of Stem Cell Differentiation Triggering using Nanoparticles Prof. Hugh J. Byrne Dr Alan Casey Dr Esen Efeoglu Francesca Ravera, MSc., Ph.D Fiosraigh Scholar City Campus, School of Physics and Clinical & Optometric Sciences Nanolab Group FOCAS Research Institute, TU Dublin, Dublin 8, Ireland Annual Evaluation 2020
  • 2.
  • 4. Bone marrow derived adult rodent Mesenchymal Stem Cells (MSCs) 20 𝜇m Chondrogenic differentiation Raman Microspectroscopy Nanoparticle exposure Osteogenic differentiation 20 𝜇m produce and maintain the cartilaginous matrix star-shaped type of bone cell
  • 5.  in vitro monitoring of stem cells differentiation process Bone marrow derived adult rodent Mesenchymal Stem Cells 20 𝜇m 14 day Chondrocytes 24 hour 40 nm Carboxylate-modified Polystyrene exposed Chondrocyte 20 𝜇m 20 𝜇m  Identifying the biochemical and spectral markers of cellular events governing the differentiation MSCs differentiation  Nanoparticle exposure, trafficking and localisation  Explore the interaction mechanisms, changes and cellular responses
  • 6. Research Objectives 3. Demonstrate the dependence of control of stem-cell triggering on the physico-chemical properties of the nanoparticles for a regulation of cells commitment and differentiation. 2. Provide an understanding of structure-activity relationships governing the influence of the nanoparticles on differentiation, suppression and enhancement of the differentiation ratio. 1. Demonstrate that Raman microspectroscopy can be used to monitor and better understand the processes of differentiation of stem cells at a subcellular level in vitro. Next 12 months objectives: Characterisation of the identified chondrogenic differentiation markers using mass spectrometry imaging. Identification and characterisation of commercially available nanoparticles and in vitro investigation of toxicological properties of the nanomaterials. Monitoring of nanoparticle uptake and localisation, and systematic characterisation of spectroscopic signatures of differentiation without NP exposure.
  • 8. Raman Microspectroscopy  Simultaneous detection of macromolecules  Non-destructive, non-invasive  Minimal sample preparation  Label free, no dyes or toxic waste products  High specificity suitability for biological sample in native state  Water can be used as solvent  Suitable for chemical analysis, quantification, classification and imaging of biological samples Scattering of light: interacts without causing electronic transitions The Raman Effect
  • 9. 400 600 800 1000 1200 1400 1600 1800 0 0.05 0.1 Wavenumbers cm-1 Intensity Determination of spectral features of Mesenchymal Stem Cells Nucleolus Nucleus Cytoplasm 7dayMeanSpectra DNA/RNA LipidsProteins
  • 10. Principle Components Analysis for comparison of cytoplasm region, nucleus and nucleolus region of rMsc Nucleolus Cytoplasm Nucleus Loading 1
  • 11. Nucleolus Cytoplasm Nucleus Principle Components Analysis for comparison of cytoplasm region, nucleus and nucleolus region of rMsc
  • 13. The study of the substrates In vitro cell culture environment investigation: Comparison of 2D and 3D culture models.
  • 14. CaF2 Collagen CaF2 Collagen CaF2 Collagen PCA scatter plot and loading of PC1 of comparison of cytoplasm, nucleus and nucleolus region of rMSC grown on CaF2 and Collagen substrates Cytoplasm Nucleus Nucleolus Comparison of Raman spectra of two substrates. Mean spectrum of Collagen and CaF2 M. Gargotti, E. Efeoglu, H. J. Byrne and A. Casey, Analytical and Bioanalytical Chemistry, 2018, 410, 7537–7550.
  • 15. 0 100 200 300 400 500 600 700 800 900 1000 0 2000 4000 6000 8000 10000 12000 RAW SPECTRUM BACKGROUND (CaF2) REFERENCE SPECTRUM CORRECTED SPECTRUM Pre-processing prior multivariate analysis: Development of Improved Extended Multiplicative Scatter Correction Raw data EMSC effectively removes both the background and adjusts the baseline  Explore the effect of these on subsequent multivariate analysis for the purpose of cell classification
  • 16. In vitro monitoring of Mesenchymal stem cell differentiation to Chondrocytes using Raman Microspectroscopy (Amarilio et al., 2007) Extracellular Matrix Chondrogenic pellet development
  • 17. 7 Days Chondrogenic Pellet Development 14 Days Chondrogenic Pellet Development 21 Days Chondrogenic Pellet Development A) B) C)A B C Centre Region Intermediate Region Edge Region Monitoring of Chondrogenic Pellet formation using Raman Microspectroscopy
  • 19. Overall Progresses Team Work and Collaboration ‘’ Being able to determine the best approach to a question, find relevant data, design a way to analyze it, understand a large amount of data, and then synthesize your findings. ‘’ Leadership and Project Management Mentoring and teaching other students as a teacher or mentor, motivating someone and help them accomplish a goal. You also get experience evaluating someone’s performance (grading) and giving constructive feedback. Critical Thinking To approach problems systematically, see the links between ideas, evaluate arguments, and analyze information to come up with your own conclusions. Building your dissertation is a solo project, but on a day to day basis you work with other people knowing how to divide up a task, get along with others, communicate effectively, and resolve conflict. • Range of data acquisition and analysis software has been used to extract information. • Cell culture and cellular assays bio-imaging techniques. • Spectroscopy techniques Multidisciplinary Skills Lab Work and Research
  • 20. Modules accomplished so far ENEH 1004 Multivariate Analysis & Data Mining for Biomedical Application 1 Lecturer: Dr Aidan Meade GradCAM XXXX Philosophy of Science and Technology Lecturer: Prof Noel Fitzpatrick GRSO 1012 Research Integrity Lecturer: Dr Steve Meaney ; Prof Mary McNamara GRSO 1011 Research Information Retrieval, Literature Review Skills and Academic Profile for STEM Lecturer: Dr Marek Rebow 9th Annual Graduate Research Symposium Poster presentation: “Raman Microspectroscopy for in vitro monitoring of Mesenchymal Stem Cell differentiation into different lineages and the effect of Nanoparticles on differentiation process” Microscopy Society of Ireland Winter Symposium 2019 University College Dublin Oral presentation “Control and Regulation of Stem Cell Differentiation Triggering using Nanoparticles” Raman4clinics-Raman-based applications for clinical diagnostics COST Training Summer School 2018 University of Coimbra Interactive Workshop Conferences and academic events The International Society for Clinical Spectroscopy Summer School workshop Lake Windermare 2019 Techniques & Strategies in Molecular Medicine Workshop 2019 Trinity College Dublin Introduction to Molecolar Spectroscopy University of Manchester Introduction to Programming with MATLAB Vanderbilt University From Diseases to Genes and Back Novosibirsk University
  • 21. FUTURE WORK - Characterization of chondrogenic differentiation markers using mass spectrometry imaging - Publication on Chondrogenic and Osteogenic differentiation, conducted by sub-culturing the cell lines on different coated and non-coated surfaces and substrates - Planned Conferences: Before COVID: Spring SciX 2020. XXVII International Conference on Raman Spectroscopy (ICORS) Rome 2020 - To perform the nanoparticle exposure and an in vitro investigation of toxicological properties of the nanomaterials, monitoring the uptake and localisation, and systematic characterisation of spectroscopic signatures of differentiation without NP exposure; - Publication on nanoparticle internalisation and trafficking in stem cells by bio-imaging techniques and vibrational spectroscopy THANK YOU!

Editor's Notes

  1. Here we can see how NP can be internalized by the cells into the organelles, the Np employed here visible are fluorescently labelled Carboxylate-modified Polystyrene Nanoparticles (PS-COOH).  
  2. Raman microspectroscopy is powerful analytical technique for the analysis of biological materials for its high molecular specificity. It is employed for my project to collect spectral markers, providing improved understanding of cellular events governing the differentiation. The advantages of Raman spectroscopy in the molecular analysis are many .. (SHOW) I would say such as a minimal and fast sample preparation, and suitability for sample in water. VERY IMPORTANT ONE.
  3. Here I show you how Raman sp. Can detect the spectra: we can see the main spectra obtained from rMSCs from three different organelles, Nucleolus, Nucleous and Cytoplasm. This technique provides the molecular fingerprints of the three organelles we can see they are actually different, they have different features as is visible HERE (SHOW THE BANDS) RNA, LIPID BANDS..and they ptovide information.   BUT is not very easy to get these information only watching the spectra.  
  4. THIS IS WHY we perform the principle component ananlysis. That can give us the information of which components make the difference! Here as an example I show the pca taken from one of my data sets. In this plot we can see The PCA transforms the original coordinate system: The new coordinates are called principal components . The 1 PC points in the direction of the HIGHEST VARIANCE which contributes most on my dataset. The second, in the second highest and so on. The coordinates stay perpendicular   What we observe most is the loading of the pc, which allow us to visualize which molecules contribute here we see the loading 1, from pc The negative side, correspond to this in the loading and all the components that separate in the negative sides will develop a peak here.. The same positive..    
  5. sometimes is also useful to look at the pc2, the second highest variances of the principal compotents.
  6. SO AFTER THESE RESULTS, we were wondering what substrate could be the best for these cell cultures. The previous differentiation was performed on a 2D models using CaF2 models. We passed then to a e dimensional one  coating glass dishes with collagen solution