HKSTP APAC Innovation Summit 2015 Series – Robotics June 25, 2015
Department of Mechanical and Biomedical Engineering,
City University of Hong Kong, Hong Kong SAR
Enabling Mechanical Biomarkers
using Atomic Force Microscopy
King W. C. Lai, Assistant Professor
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Background
• Study of cellular mechanics
• AFM-based nanorobot
Applications in biological research
• Monitoring the neurodegeneration process
• Identification of peripheral neuropathy
Automated patch clamp system
Applications in nanomaterial research
Other robotic research
Conclusion
CONTENT
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CELL MECHANICAL PROPERTIES Cell integrity
Cell Biology / Genetics, Mr. Foster
Disease state
Nature review Cancer, 2012 BIOCOMM, 2013
Cell division
The mechanical properties of cells have been shown to be useful markers of cell
state by the biophysics community, and potential to achieve biomarkers with:
label-free;
robust and high-throughput;
low-cost and inexpensive.
D. Di Carlo, “A mechanical biomarker of cell state in medicine.,” J. Lab. Autom., vol. 17, no. 1, pp. 32–42, Feb. 2012.
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CURRENT APPROACHES Micropipette aspiration
BMC Cell Biology, 2008 Journal of Applied Physiology, 2000
Magnetic twisting
cytometry
Optical tweezers
Nature Materials, 2007
Fluidic shear flow
Journal of Biomechanics, 2000
Nanoindenter Drive
direction
PNAS, 2012
Micropillar substrate
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ATOMIC FORCE MICROSCOPY (AFM)
Drive
direction
AFM
scanning
Drive
direction
AFM indentation
Cell image
Cell mechanical property
Bruker Nano, Santa
Barbara, CA
BioScope Catalyst
atomic force
microscope
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AFM-BASED NANOROBOT
AFM
Scanning
image
Interactive
Force
Augmented reality
interface
Position &
command
Image
update
Movement
command
Cantilever
Cells
Haptic device
Optical
image
Controller &
SAM
Original control
algorithmController
AFM
scanner
Input (t) Output (t)
Scanning control strategy
Original control
algorithmController AFM scanner
Input (t) Output (t)
Input (t)
Nanorobotic
algorithm
Nanorobot control strategy
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Neurodegenerative disease is caused by loss of structure or function of
neurons, or neurons death
Examples: Parkinson’s and Alzheimer’s disease
NEURODEGENERATIVE DISEASE
S. Boillée et al., Neuron,
2006.
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Alzheimer’s disease:
• Lifetime risk between age 65
and 100 is 33% for men and 45% for women
• Yearly cost is about 250
billion US dollars[1]
Detailed disease mechanism is
not fully understood
Treatment for neurodegenerative
disease is under development
NEURODEGENERATIVE DISEASE
[1] K. a Jellinger, B. Janetzky, J. Attems, and E. Kienzl, “Biomarkers for early diagnosis of Alzheimer disease: ‘Alzheimer
Associated gene’--a new blood biomarker?,” Journal of cellular and molecular medicine, vol. 12, no. 4, pp. 1094–117, Aug. 2008.
Posted by JDGopez R.N. on August 8, 2012
in Medical Information, Nursing Blog
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Limitation of conventional methods
• Investigate the toxin induced neuron death based on the measurement of numbers of dead cells
• Difficult to obtain the real-time information and response occur in the individual cell and study the dynamic process during the neurodegeneration
It is crucial to develop a less invasive approach to monitor the process of neuron death under physiological conditions in real-time
Base on the observation of cell and cytoskeleton
LIMITATION
Normal neuron Synapse detachment
Apoptosis Axon and dendrites
degradation
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NR1 NR2Cell membrane Cell membrane
Ca2+
Neurotoxicity
GlutamateGlycine
Extracellular side
Cytoplasmic side
NMDA Receptor • Ionotropic glutamate receptor
Concentrated at postsynaptic sites
• Ligand-gated ion channel Mediates Ca2+ influx
• Activation requires of binding of glutamate
and glycine
• May contribute to excitotoxic death of
dopaminergic neurons in Parkinson’s disease Glutamate excitotoxicity
Material • SH-SY5Y cell:
in vitro models of neuronal function and differentiation
commonly used in Parkinson’s and Alzheimer’s disease model
• NMDA: N-methyl-D-aspartate, a neural toxin
Mimic the action of glutamate Inducing excessive Ca2+ influx to result in cell deficiency or death
NMDA INDUCED CELLULAR BEHAVIOR
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AFM IMAGING AND SURFACE ROUGHNESS
Y. Fang, C. Y. Y. Iu, C. N. P. Lui, C. K. M. Fung, H.-W. Li, K. K. L. Yung, N. Xi, and K. W. C. Lai, “Investigating dynamic structural and
mechanical changes of neuroblastoma cells associated with glutamate-mediated neurodegeneration”, Scientific Reports, vol. 4, 7074, 2014.
After 200 μM treatment: • Neurites were contracted;
• Cell body was shrunken;
• Cytoskeleton was aggregated;
• Surface roughness was increased.
Control cell NMDA treated cell
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FORCE-INDENTATION MEASUREMENTS Indentation depth: 500 nm
Force-indentation curves: 64
Number of cells for stiffness
comparison:> 30 for each group
Con
trol cell
200 μ
M N
MD
A
treate
d c
ell
**
**
Y. Fang, C. Y. Y. Iu, C. N. P. Lui, C. K. M. Fung, H.-W. Li, K. K. L. Yung, N. Xi, and K. W. C. Lai, “Investigating dynamic structural and
mechanical changes of neuroblastoma cells associated with glutamate-mediated neurodegeneration”, Scientific Reports, vol. 4, 7074, 2014.
P. 13
TIME-DEPENDENT RESPONSE
Y. Fang, C. Y. Y. Iu, C. N. P. Lui, C. K. M. Fung, H.-W. Li, K. K. L. Yung, N. Xi, and K. W. C. Lai, “Investigating dynamic structural and
mechanical changes of neuroblastoma cells associated with glutamate-mediated neurodegeneration”, Scientific Reports, vol. 4, 7074, 2014.
After 50 μM treatment:
• Gradual contraction of cell body and
neruites;
• Gradual increase of Young’s modulus.
• Real-time monitor of neurodegeneration.
Control cell NMDA treated cell
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IDENTIFICATION OF SIGNALING PATHWAY
Y. Fang, C. Y. Y. Iu, C. N. P. Lui, C. K. M. Fung, H.-W. Li, K. K. L. Yung, N. Xi, and K. W. C. Lai, “Investigating dynamic structural and
mechanical changes of neuroblastoma cells associated with glutamate-mediated neurodegeneration”, Scientific Reports, vol. 4, 7074, 2014.
Induced cell stiffening in NMDA treatment:
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Trends in Cancer Incidence and Death Rates by Sex,
United States, 1975 to 2010.
Cancer Statistics 2014, CA CANCER J CLIN, 64, 9–29,
2014
Cancer
Surgery
Radiation
Chemotherapy
5-Year Relative
Survival Rates: increased from
49% (1975-
1977) to 68% (2003-2009).
Severe side-
effects: decreased blood
cells,
inflammation of the digestive tract
and hair loss.
Suffering
CANCER THERAPY
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Chemotherapy: chemicals to kill cells, both cancer and normal cells.
Commercial anti-cancer drugs: vincristine (VCR) and paclitaxel (Taxol).
CHEMOTHERAPY PERIPHERAL NEUROPATHY
50 ng/ml, VCR 500 ng/ml,
Taxol
Immunostaining with neuronal specific marker anti-β-tubulin III, dorsal root ganglion (DRG) from adult C57BL/6 mice (8-12
weeks old).
Anti-cancer drugs Neuropathy: numbness,
tingling, sensation disturbance, and muscle weakness
Withdraw lifesaving therapy
N. P. B. Au, Y. Fang, N. Xi, K. W. C. Lai, and C. H. E. Ma, “Probing for chemotherapy-induced peripheral neuropathy in live dorsal root ganglion
neurons with atomic force microscopy.,” Nanomedicine, vol. 10, no. 6, pp. 1323–1333, Mar. 2014.
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DOSAGE RESPONSE OF DRG NEURONS
Under vincristine treatment: • Correlation of Young’s modulus to concentration
of vincristine;
• Young’s modulus was acquired from live neuron in physiological-like condition without time-consuming pre-treatment;
• Correlation of microtubules depolymerization to concentration of vincristine;
• Correlation fluorescence intensity to concentration of vincristine.
N. P. B. Au, Y. Fang, N. Xi, K. W. C. Lai, and C. H. E. Ma, “Probing for
chemotherapy-induced peripheral neuropathy in live dorsal root ganglion neurons with atomic force microscopy.,” Nanomedicine, vol. 10, no. 6, pp.
1323–1333, Mar. 2014.
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Cell-attached recording
Electrode
Frances M. Ashcroft, Ion Channels and Disease, 2000
Single ion channel activity observation
Whole cell recording
Electrode
Katsutoshi Furukawa, et al., Journal of Neurochemistry, 2006
Whole cell recording using patch clamp
Single channel current :1-50 pA Transmembrane current: 50 pA - 10 nA
Patch clamp recording: Nobel prize!
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(I) Setup (II) Engaging
(III) Gigaseal formation
Procedures of patch clamp
(IV) Break-in
Movement of pipette; voltage pulse and current; pressure of pipette
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AUTOMATED PATCH CLAMP SYSTEM
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DEMOSTRATION
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SERVICE ROBOTS
Autonomous Navigation
Simultaneous Localization and
Mapping (SLAM)
SLAM
Encoder Data
Laser Scan Data
Odometry
Measurement
Scan Matching
Occupancy Grid
Mapping
Robot pose
Demand
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AFM-based nanorobot can be used to obtain mechanical
biomarker of biological cells (cell morphology, surface
roughness, Young’s modulus)
Monitor real-time response of living cell
They are promising indicators to guide research of
neurodegeneration and chemotherapy, and reveal the
mechanism of drug treatment
CONCLUSION
CTL MK801 MK801+NMDA NMDA0
5
10
15
20
25
30
* *
* ** *
Young's
modulu
s /
kPa
Treatment
* *
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HKRGC: GRF Grant (CityU139313 and CityU124213)
ITC: ITF Grant (9442009)
CityU: Startup Grant (7200311 and 9610254)
ACKNOWLEDGEMENT
Collaborators:
Prof. Ken K. L. Yung, Department of Biology, Hong Kong Baptist University
Prof. H. W. Li, Department of Chemistry, Hong Kong Baptist University
Dr. Eddie Ma, Department of Biomedical Sciences, CityU of Hong Kong
Dr. Meyya Meyyappan, NASA, USA
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Thank you!