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Na no and Microtechnologies of hybrid bioelectronic systems (Lecture 2- nano-topography). Dr. Yael Hanein. Cell Patterni ng Approaches. Direct protein lithography Micro-contact printing/micro fluidics Proteins SAMs Dry lithography Patterned polymers
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Nano and Microtechnologies of hybrid bioelectronic systems(Lecture 2- nano-topography) Dr. Yael Hanein
CellPatterning Approaches • Direct protein lithography • Micro-contact printing/micro fluidics • Proteins • SAMs • Dry lithography • Patterned polymers • Temperature sensitive polymers • Nano-topography • Ordered nano-patterning • Disordered nano-patterning • Wells
Approaches (V) : Nanotopography • Ancient methods • Micro-methods • Silicon pillars • Silicon grass • Nano-methods • Carbon nanotubes
Approaches (V) : Nanotopography Thermally grown SiO2 Resist Exposure, development RIE, CHF3: oxide etch Photoresist removal RIE: Cl2, BCl3 Si etch HF: Oxide removal
Approaches (V) : Nanotopography http://www.hgc.cornell.edu/neupostr/lrie.htm
Approaches (V) : Nanotopography http://www.wadsworth.org/divisions/nervous/nanobio/DG06.htm
Approaches (V) : Nanotopography RIE: Cl2,CF4,O2 Photoresist Wet etching: HF, nitric acid, H2O Resist removal, Cleaning Craighead
Approaches (V) : Nanotopography LRM55 Astroglial cells – prefer smooth surfaces Cortical astrocytes – Preferred rough surface
Culture of neural cells on silicon wafers with nano-scale surface topograph • Y.W. Fan et all, “Culture of neural cells on silicon wafers with nano-scale surface topograph” : • Si surfaces with variable roughness (without surface treatment) • Morphology of adherent cells remarkably differs on differently rough surfaces • Larger contact area? doesn’t explain the decline in cell adhesion after a certain Ra value! • (Can you really change Ra without changing other parameters?!)
Cells respond to surface topography The mechanisms involving cell adhesion and migration on surfaces is poorly understood Extremely important in the field of tissue engineering and biomaterials Important in lab-on a chip/micro bio-sensors Cells and nanotopography
Cells React to Nanoscale Order and Symmetry inTheir SurroundingsA. S. G. Curtis*, N. Gadegaard, M. J. Dalby, M. O. Riehle, C. D. W. Wilkinson, and G. Aitchison
Methods Arrays of nano-pits were prepared in a three-step process: • Electron Beam Lithography • Nickel die fabrication • Hot embossing into polymers
Electron Beam Lithography Positive resist ZEP 520A coating on silicon EBL of pits, with diameter of 35, 75, 120 nm Development
Nickel die fabrication 100 nm thick resist with nanopits Sputter coating of a 50nm Ni-V laye Electroplating of Ni to a thickness of 300 mm Nickel Die
Hot embossing into polymers Polymeric replicas were made by embossing the nickel die in a heated polymethylmethacrylate (PMMA) or polycaprolactone (PCL) sheets
Cell Cultures Primary human fibroblasts (connective tissue cells)/ rat epithenon cells were seeded on patterned PCL or PMMA • Short term experiments: measurements taken at intervals from 2-24 hr • Long term experiments: cells cultured for up to 71 days counting no of adherent cells and measuring their orientation
Human fibroblast cells grown on PCL Adhesion on spaced nanopatterened areas is much lower than on planar areas, but on the smallest closest spaced pits is the same as on the planar area! Rat epitenon cells grown on PCL surfaces for 24 h
Many cells possess surface nanometric features Filopodia and microspikes may be the organelle whose major function is to explore nanofeatures around the cell It is interesting to note that the filopodia follows the nanopattern, and seems to be directed by it
Reaction of cells to different symmetries • CathrineC. Berry et all, “The influence of microscale topography on fibroblast attachment and motility”: fibroblasts were grown on arrays of pits, 7, 15 and 25 diameter, 20 and 40 mm spacing • Cells “prefer” entering the larger diameter pits, meaning they might be sensitive to differences in radius of curvature • The smallest pits allow the highest proliferation rate and the highest migration rate of a single cell
Orientation is nonrandom • On orthogonal patterns :cells show preference of 90° separated orientations • On hexagonal patterns: cells show preference of 120° separated orientations Cells can distinguish between symmetries???
Fredrick Johansson et al, “Axonal outgrowth on nano-imprinted patterns” • Investigated guidance of axons on patterns of parallel grooves of PMMA, with depths of 300nm, widths of 100-400 nm and distance between grooves 100-1600 nm. -axons display contact guidance on all patterns -preferred to grow on edges and elevations in the patterns rather than in grooves- this may be due to edge effects, as concentration of charges
How cells sense ORDER and SYMMETRY of surfaces? What makes cells adhere to surfaces? Why do differences in diameters and spacing of micro and nano features have such dramatic effect on cell adhesion?
Two possible explanations The effect is caused by the nonliving surfaces alone Nanofeatures are known to affect orientations in nonliving systems It is unknown whether nanofeatures affect protein adsorption on the nanoscale, (exposure to protein rich culture media- showed no difference) The effect is caused by interaction of cellular processes and interfacial forces
Types of nano-topography Ordered conducting grooves Ordered insulating grooves Perturbed ordered insulating grooves Nano topography Random nano-topography insulating substrate Rough conducting substrate
Symmetry Ra
Carbon nanotube based neuro-chips for engineering and recording of cultured neural networks
Recording from cultured neural networks Ben-Jacob, TAU Gross, UNT Bauman, URos Fromherz, MPI
Multi electrode arrays Large electrically active networks, Long term (weeks), Relevant biological activity BUT Large electrodes, Poor sealing, Average (many neurons) signal, Poor electrode-cell coupling, Random networks E. Ben-Jacob
Outline • How can we make better/new MEA • How do we manipulate cells on substrates? • Properties of our new MEAs
Signal fidelity ~ Noise Rseal Rspread Chd Soma Csh Re Ce Rmet Re Rspread Chd Rmet Csh Ce Rseal How can we make better/new MEA? Kovacs, 1994
Cell-substrate interactions Wong et al. Surface chemistry 2004
Nano-topography Craighead, Cornell Hu et al. Mattson et al. J. Mol. Neurosci 2000
Electronic properties (CNTs) zigzag armchair
Carbon nanotube multi-electrode arrays Carbon nanotubes • Biocompatible • Super capacitors • Compatibility with micro fabrication CNT electrodes • Self-cell-organization • Network engineering • Excellent recording
CNT based MEA Mo electrodes SOG passivation RIE etch PDMS stencil CNTs
Engineered Networks Tension competes with adhesion to surface
Electrode Capacitance Cyclic voltammetry Specific capacitance 137 mM NaCl, 2.7mM KCL, pH 7.4 at 25ºC DC Electrochemical Performances Comparable to Commercial MEA
Electrical activity (patch clamp) Stimulated electrical activity
Electrical activity (CNTs) Spontaneous electrical activity
Cell-surface interaction Mo electrode Craighead, Cornell
Summary • CNT are excellent substrates for neuronal growth • Self-organization of neurons • Engineered networks • Very good recording properties
Approaches (V) : Topography Peter Fromherz, Max Planck Institute
Approaches (V) : Topography Fromherz (http://www.biochem.mpg.de/mnphys/)
Approaches (VII) : Wells Pine, Caltech