NanotechnologyNanotechnology forfor CancerCancer MedicineMedicine andand ResearchResearch
MauroMauro Ferrari,Ferrari, Ph.D.Ph.D.
Professor,Professor, BrownBrown InstituteInstitute ofof MolecularMolecular MedicineMedicine ProfessorProfessor ofof InternalInternal MedicineMedicine Chairman,Chairman, BiomedicalBiomedical EngineeringEngineering UniversityUniversity ofof TexasTexas HealthHealth SciencesSciences Center,Center, HoustonHouston Professor,Professor, ExperimentalExperimental Therapeutics,Therapeutics, MDMD AndersonAnderson Professor,Professor, Bioengineering,Bioengineering, RiceRice UniversityUniversity President,President, AllianceAlliance forfor NanoHealthNanoHealth
CERN – June 12, 2007 8 10 Tennis ball 7 10 6 10 A period 5 10 4 Cancer cell 10 3 10 Bacteria Nanodevices: Nanopores Dendrimers Nanotubes Quantum dots Nanoshells 2 Virus 10 Antibody 110 Glucose -1 10 Water Nanotechnology in Perspective Nanotechnology in Perspective Nanometers NanotechnologiesNanotechnologies WhatWhat isis thethe AllianceAlliance forfor NanoHealth?NanoHealth?
ConsortiumConsortium ofof sevenseven institutionsinstitutions governedgoverned byby memorandummemorandum ofof understandingunderstanding ofof 12/16/2004.12/16/2004.
VirtualVirtual collectioncollection ofof 500+500+ investigatorsinvestigators
MechanismMechanism forfor funding:funding: aaSharedShared infrastructureinfrastructure aaCollaborativeCollaborative researchresearch aaConferences/workshopsConferences/workshops aaStudentStudent programsprograms Office: The Fayez S. Sarofim Research Building (IMM) 537 at UTHSC-H. MissionMission
To Bring Nanotechnologies to the Clinic ANHANH OrganizationOrganization ChartChart ANHANH TimelineTimeline ANHANH SeedSeed GrantsGrants
•Ten seed grants awarded •Grants selected by external peer review board (AIMBE – Dr. C. Montemagno)
Nanorods-mediated gene therapy in bladder cancer P.I.: Liana Adam, M.D., Ph.D. (University of Texas MD Anderson Cancer Center) Co-P.I.’s: Jason Hafner, Ph.D. (Rice University) Colin Dinney, M.D. (University of Texas MD Anderson Cancer Center) Corazon Bucana, M.D. (University of Texas MD Anderson Cancer Center) Self-assembling peptide-amphiphile nanofibers as a scaffold for dental stem cells P.I.: Jeffrey D. Hartgerink, Ph.D. (Rice University) Co-P.I.’s: Rena D’Souza, D.D.S., Ph.D. (University of Texas MD Anderson Cancer Center) Biomodally-targeted, magnetically-responsive nanoparticles as drug carriers P.I.: Jim Klostergaard, Ph.D. (University of Texas MD Anderson Cancer Center) Co-P.I.’s: Waldemar Priebe, Ph.D. (University of Texas MD Anderson Cancer Center) Joan Bull, M.D. (University of Texas Health Science Center at Houston) David Gorenstein, Ph.D. (University of Texas Medical Branch at Galveston) Charles Seeney, M.S. (Nanobiomagnetics, INC.) ANHANH SeedSeed GrantsGrants
Feasibility of selective laser elimination of leukemia cells targeted with gold and silver nanorods P.I.: Marina Konopleva, M.D., Ph.D., (University of Texas MD Anderson Cancer Center) Co-P.I.’s: Bahman Anvari, Ph.D. (Rice University) Alexander Oraevsky, Ph.D. (Fairway Medical Technologies, Inc.)
On-command control of blood pool residence time for nanoparticle-based molecular imaging P.I.: Vikas Kundra, M.D., Ph.D. (University of Texas MD Anderson Cancer Center) Co-P.I.’s: Ananth Annapragada, Ph.D. (University of Texas Health Science Center at Houston)
Nanomagnetic biosensor array for few-cell cancer diagnostics P.I.: Dmitri Litvinov, Ph.D. (University of Houston) Co-P.I.’s: Richard Willson, Ph.D. (University of Houston) John C. Wolfe, Ph.D. (University of Houston) Mini Kapoor, Ph.D. (University of Texas MD Anderson Cancer Center)
Guided microvascular formation and cellular infiltration for tissue regeneration applications in nano-structured silk fibroin-chitosan scaffolds P.I.: Anshu B. Mathur, Ph.D. (University of Texas MD Anderson Cancer Center) Co-P.I.: Rebecca Richards-Kortum, Ph.D. (Rice University) Collaborators: Peter C. Gascoyne, Ph.D. (University of Texas MD Anderson Cancer Center) Gregory P. Reece, M.D. (University of Texas MD Anderson Cancer Center) MFMF -- The The PiecesPieces ofof thethe PuzzlePuzzle
AppointmentAppointment 100%100% atat UTHSC-UTHSC- H, H, withwith inter-inter- institutionalinstitutional salarysalary reimbursementreimbursement agreementsagreements AtAt UTHSC-H:UTHSC-H: aa DirectorDirector ofof NanomedicineNanomedicine Center Center ofof thethe IMMIMM aaChairmanChairman ofof BMEBME @@ UTHSCUTHSC (Three-(Three- institutionalinstitutional departmentdepartment withwith UTAustin,UTAustin, MDACC)MDACC) AAcknowledgmentscknowledgments -- Our Our NanomedicineNanomedicine Group Group Professors: Mauro Ferrari (Director), Fredi Robertson (MDACC) Associate Professor: Vittorio Cristini (SHIS – UTHSC) Assistant Professors: Mark Cheng, XueWu Liu, Takemi Tanaka Visiting Scholars: Prof. Milos Kojic (Harvard), Prof. Paolo Decuzzi (UMG Italy), Prof. Fazle Hussain (University of Houston) PostDocs: Ennio Tasciotti, Rohan Bhavane, Rita Serda, Dan Fine, + 6 Students: Alessandro Grattoni, Fabio Fais, Cynthia Chmielewski, Tony Hu Kevin Plant, Sung Kim, Zongxing Wang, Sandra Saldana, Ciro Chiappini, MariaSilvia Peluccio, Francesco Gentile + 5 Research Staff: Amber Jimenez, Li Li; Advocacy Director: D. Johnson Executives: Jason Sakamoto (ANH), Tong Sun (BME) Administration: Dee Fegans, Ramona Thomas, Victoria Herrera Key Collaborations: Profs. A. Annapragada, J. Conyers (UTHSC); Prof. Juri Gelovani, Josh Fidler, Garth Powis, Anil Sood, Gabe Lopez, R. Pasqualini and Wadih Arap (MDACC), Prof. Jim Tour (Rice University), Prof. Wah Chiu (Baylor), Prof. N. Peppas (UT Austin), Prof. S. Pricl (Trieste Italy), Prof. R. Caprioli (Vanderbilt) Prof. Venuta (UMG Italy), Sematech (Austin) Startups in progress: Leonardo Biosystems Funding: NCI, NIH, NASA, DoD, State of Texas, Office of the President UTHSC NanochanneledNanochanneled Delivery Delivery SystemsSystems (nDS)(nDS)
FinancialFinancial Support:Support: NCI;NCI; DepartmentDepartment ofof DefenseDefense (ARMY(ARMY –– TATRC; TATRC; DARPA);DARPA); NASA;NASA; StateState ofof TexasTexas EmergingEmerging TechnologyTechnology FundFund (ETF)(ETF) NanochanneledNanochanneled Implants Implants forfor thethe ControlledControlled ReleaseRelease ofof TherapyTherapy
Membrane holder Donor well
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3D3D modelmodel
SEMSEM imageimage ofof AFMAFM image image microchannelsmicrochannels ofof 70nm70nm texturetexture NanochannelNanochannel SubstrateSubstrate NDS1NDS1 innerinner structurestructure && flowflow MULTISCALE Math Model – Fully Predictive (2003-…)
100 80 60 40 20 0 -20 -40
E (kJ/M) -60 -80 -100 012345678910 d (Å) ν
π η
ν π η ν
π η ⎛ ⎞ ⎛ ⎞ ⎜ ⎟ 2 ⎜ ⎟ ⎜ 2b 2a ⎟⎛ ⎞ ⎜ ν 2aπ ν ⎟ 2 ∂ = ⎜ kT 0 − 0 ⎟⎜ ∂ ⎟ + ⎜ kT 1 − 0η ⎟ ∂ ν ∂t ⎜ 6 r 3 6 r ⎟⎜ ∂x ⎟ ⎜ 6 r 2 6 r ⎟ 2 ⎜ ⎛ ⎞ ⎟⎝ ⎠ ⎜ ⎛ ⎞ ⎟ ∂x ⎜ ⎜1−b ⎟ ⎟ ⎜ ⎜1−b ⎟ ⎟ ⎝ ⎝ 0 ⎠ ⎠ ⎝ ⎝ 0 ⎠ ⎠ AA definitiondefinition ofof nanotechnanotech
nan’nan’ o o••techtech••nol’nol’ o o••gy,gy, NatureNature NanotechnologyNanotechnology (2006)(2006) 1:8-10.1:8-10. R T m' V π = 2 []1+ ()1+V m'2 m'1
PredictivePredictive TheoryTheory ofof OsmoticOsmotic PressurePressure
Osmotic pressure data for sucrose aqueous solutions at 20°C
240
220 Experimental data
200
180 Maximum Likelihood 160 Regression
140 van't Hoff Theory 120
100
80 Morse Theory
Osmotic pressure [bar] 60
40 Granik - Ferrari Theory 20
0 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5 5.5 6 Molality
Granik,V.T., Ferrari, M. Osmotic Pressures for R T m'2 V Binary Solutions of Non- π = electrolytes, Biomedical []1+ ()1+V m'2 m'1 Microdevices (2002). (Grattoni and Ferrari unpubilshed) PlentyPlenty ofof SPACESPACE toto fitfit “Nano”“Nano” CHALLENGESCHALLENGES MinimumMinimum 21-2821-28 MonthMonth RoundRound TripTrip toto MarsMars NONO HospitalsHospitals MinimalMinimal cargocargo capacitycapacity forfor meds.meds. FAILUREFAILURE NOTNOT ANAN OPTION!OPTION! SmartSmart ImplantsImplants nDS1:nDS1: PassivePassive ReleaseRelease NearestNearest HospitalHospital nDS2:nDS2: ActiveActive Toxicity ReleaseRelease –– (Earth)(Earth)PreprogrammedPreprogrammed Therapeutic Range PlasmaPlasma Drug Drug
ConcentrationConcentration Toxicity nDS3:nDS3: ActiveActive Diminished Activity ReleaseRelease –– Time nDS1 RemotelyRemotely ActivatedActivated nDS2 nDS4:nDS4: ActiveActive ReleaseRelease –– Self- Self- regulatedregulated
Image Credit: NASA/JPL/Cornell/Texas A&M CancerCancer isis thethe #1#1 killerkiller ofof AmericansAmericans underunder 8585 andand aa majormajor killerkiller worldwideworldwide 570,280570,280 AmericansAmericans willwill diedie ofof cancercancer thisthis yearyear aa 1,372,9001,372,900 AmericansAmericans thisthis yearyear willwill hearhear thethe wordswords “you“you havehave cancer…”cancer…” aa $192$192 billionbillion == CostsCosts ofof cancercancer inin 20042004 More Progress is Needed to Reduce Death Rates
586.8 600 1950 500 2002
400
300 240.1
100,000 193.9 193.4 200 180.7 Death Rate Per 100 56.0 48.1 22.5 0 Heart Cerebrovascular Pneumonia/ Cancer Diseases Diseases Influenza
Source: American Cancer Society. InterventionIntervention inin thethe CancerCancer ProcessProcess PreventPrevent DetectDetect ModulateModulate EliminateEliminate
TumorTumor Colorectal Colorectal Micro-Micro- BRCA-1BRCA-1 MutationMutation Cancer Screening Cancer Screening EnvironmentEnvironment
DeathDeath duedue toto CancerCancer
MetastaticMetastatic ProgressionProgression
MalignantMalignant Transformation SusceptibilitySusceptibility Transformation Pre-CancerousPre-Cancerous ChangesChanges
NaturalNatural BirthBirth LifeLife SpanSpan DeathDeath MechanismsMechanisms ofof thethe CancerCancer ProcessProcess TheThe SixSix EssentialEssential AberrationsAberrations ofof CancerCancer
Self-SufficiencySelf-Sufficiency inin GrowthGrowth SignalsSignals EvadingEvading ApoptosisApoptosis InsensitivityInsensitivity toto Anti-GrowthAnti-Growth SignalsSignals
SustainedSustained TissueTissue InvasionInvasion AngiogenesisAngiogenesis andand MetastasisMetastasis
LimitlessLimitless ReplicativeReplicative PotentialPotential AfterAfter HanahanHanahan & & Weinberg,Weinberg, CellCell 100:57100:57 (2000)(2000) moviemovie NanotechnologyNanotechnology andand CancerCancer ApplicationsApplications
FERRARI M: Cancer nanotechnology: opportunities and challenges. Nat Rev Cancer (2005) 5(3):161-171. At National Cancer Institute, 2003-2005
ProteomicProteomic NanochipsNanochips for for thethe EarlyEarly DetectionDetection ofof DiseaseDisease fromfrom BloodBlood andand OtherOther BiologicalBiological FluidsFluids
FinancialFinancial Support:Support: NCI;NCI; DepartmentDepartment ofof DefenseDefense (ARMY(ARMY –– TATRC); TATRC); NASA;NASA; StateState ofof TexasTexas EmergingEmerging TechnologyTechnology FundFund (ETF)(ETF) BloodBlood Proteomics/PeptidomicsProteomics/Peptidomics TheThe HypothesisHypothesis
LIOTTALIOTTA LA,LA, FERRARIFERRARI M,M, PETRICOINPETRICOIN E:ClinicalE:Clinical proteomics:proteomics: writtenwritten inin blood.blood. NatureNature(2003)(2003) MultiplexingMultiplexing proteomicproteomic detection:detection: ManyMany proteinprotein channelschannels atat samesame timetime
Nanoscale Cantilevers
Cantilevers detect Cancer biomarkers of cancer cell
Proteins
Antibodies
Binding events change cantilever shape, and properties
Arun Majumdar, University of California at Berkeley; Tom Thundat, ORNL NanotechNanotech andand thethe systemsystem approachapproach toto cancercancer biologybiology
Nanowire Sensor
Particles flow through the microfluidic channel
Electrodes Nanowire sensor
Nanowires detect biomarkers of cancer
Charles Lieber, Harvard; Jim Heath, California Institute of Technology, & Lee Hood, ISB mfluidics-mfluidics- massivelymassively multiplexedmultiplexed plumbingplumbing TheThe NanolabNanolab forfor nanotechnologiesnanotechnologies
ElectrophysiologyElectrophysiology
HIT-T15HIT-T15 whole-cellwhole-cell recordingsrecordings Ca+2Ca+2 bufferbuffer (2mM(2mM EGTA)EGTA) NanowireNanowire SensorsSensors
HIT-T15HIT-T15 cellcell onon chipchip SignaturesSignatures ofof genegene && proteinprotein expressionexpression NanomechanicsNanomechanics Protein-proteinProtein-protein && Protein-DNAProtein-DNA interactionsinteractions ElectrophysiologyElectrophysiology sensors:sensors: signaturessignatures ofof cellularcellular processes.processes.
Dendritic EffectorEffector Dendritic MacrophageMacrophage Heath,Heath, cellcell TT cellcell CalTechCalTech UTHSC/MDACCUTHSC/MDACC ProteomicProteomic NanochipNanochip
Plasma 80 1898.1
1741.7 A
% Intensity % Intensity % Intensity % Intensity 2662.1 943.0 6638.0 331 9.0 4582.5 6598.6 9147.1 0 800 10000 Mass (m/z)
Silica type A Silica type B
2485.7 4569.6 9138.7 20 3868.5 2485.7 9430.3 30 1848.0 1848.0 2863.0 4713.2 B C 8919.3 2108.3 2357.5 9385.2 8769.3 1053.2 3283.7 861.7 1078.81866.3 3316.3 6632.0 % Intensity % Intensity % Intensity % Intensity
% Intensity % Intensity % Intensity % Intensity 8693.4 3519.4 4967.3 3868.32 7673.8 4575.0 9140.6 0 0 10000 800 10000 Surface patterning 800 M ass (m/z) Mass (m/z) Surface porosity
Ferrari, Nature Reviews Cancer (2005) LMWP EnrichmentofNanochip-BasedSerum Proteomics MALDI LMWP elution Size exclusion Protein spotting
% Intensity % Intensity % Intensity % Intensity % Intensity 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 9. 69447. 3028160.6 6320.2 4479.8 2639.4 799.0 8160.6 6320.2 4479.8 8160.6 2639.4 6320.2 799.0 4479.8 2639.4 799.0 9. 69447. 3028160.6 6320.2 4479.8 2639.4 799.0 10000 8160.6 6320.2 4479.8 2639.4 799.0 erdcblt Sensitivity Reproducibility as(mz) m/z Mass ( 10000 10000 10000 10000 100 100 100 50 0 0 0 0 8034 2032 704000 3760 3520 4000 3280 3760 3040 3520 2800 4000 3280 % Intensity 3760 3040 3520 2800 4000 3280 % Intensity 3760 3040 3520 2800 3280 % Intensity 3040 2800 % Intensity 20 ng/mL 50 ng/mL 200 ng/mL 1000 ng/mL 3420.1 3419.6 3420.5 3419.8 calcitonin Nanochip-Based Proteomics of Serum from Invasive Human Breast Tumor Xenografts
Injection of 5 x 106 MCF-7/Cox-2 human The animal model breast tumor cells into mammary fat pads female nude mice
Invasive human breast tumor in mammary fat pads of nude mice Palpable tumors in 15 days, metastatic human breast tumor xenografts in 42-60 days
10 µL serum/plasma Nanoporous silicon/silica film 1. Binding
Silicon chip 2. Wash The nanotech strategy
3. Extract LMW Nanochip-based MS/MS identification of peptides serum derived proteins from mice bearing human breast tumor xenografts 4. MS analysis High MW proteins MALDI-TOF Low MW proteins/peptides Human Vascular Endothelial Growth Factor (VEGF) family
Dimerization Plasmin Neuropilin Inhibitory Sites Cleavage Binding Activity
1 2 3 4 5 6a 6b 7 8 9 Signal VEGFR-1 VEGFR-2 Heparin Peptide Binding Binding Binding
1 2 3 4 5 6a 6b 7 8 VEGF206
1 2 3 4 5 6a 7 8 VEGF189
1 2 3 4 5 7 9 VEGF165b
1 2 3 4 5 7 8 VEGF165
1 2 3 4 5 6a 8 VEGF145
1 4 VEGF121 2 3 5 8
1 2 3 3b VEGF117
(Robertson et al.) Time dependent increase of Fibrinogen alpha chain polypeptide
17000 16000 Identified Peptide fragment of Control 0 days 15000
14000 fibrinogen alpha chain polypeptide
13000 Tumor 28 days
12000 Sequence TDTEDKGEFLSEGGGVR 11000 Tumor 42 days 10000
9000 8000 Tumor 60 days 7000 *1798.96 6000
5000 Control 60 days
4000
3000
2000 1806.79 (1) 1805.74 (1) 1000 *1804.82 (1) *1808.19 *1784.43 *1785.23 (1) 1786.25 (1) *1790.21 *1810.1 *1788.62 *1792.37 0 1784 1785 1786 1787 1788 1789 1790 1791 1792 1793 1794 1795 1796 1797 1798 1799 1800 1801 1802 1803 1804 1805 1806 1807 1808 1809 1 Mass/Charge, amu ABSTRACT BloodBlood Proteomics/PeptidomicsProteomics/Peptidomics TheThe HypothesisHypothesis
LIOTTALIOTTA LA,LA, FERRARIFERRARI M,M, PETRICOINPETRICOIN E:ClinicalE:Clinical proteomics:proteomics: writtenwritten inin blood.blood. NatureNature(2003)(2003) NanoVectorsNanoVectors for for thethe LocalizedLocalized (Directed)(Directed) TreatmentTreatment ofof CancerCancer
Keywords: • Rational design • Multistage • BioBarrier Avoidance • Nanoporous Silicon
Funding: NCI, NASA, DoD (Army) PharmacologicPharmacologic TherapyTherapy:Therapy:: PastPast,Past,, PresentPresent,Present,, FutureFuture
cisplatin
Doxorubicin Liposome Pegylated Liposome DirectingDirecting TherapyTherapy OnlyOnly WhereWhere NeededNeeded
PEG-thiol
TNF targe molecu
Therapeutic payload
Colloidal Gold Nanoparticle NanoparticleNanoparticle delivery: delivery: CentralCentral Issue#1:Issue#1: BioBarriersBioBarriers
EndothelialEndothelial andand EpithelialEpithelial BarriersBarriers Reticulo-EndothelialReticulo-Endothelial SystemSystem (RES)(RES) EnzymaticEnzymatic DegradationDegradation Hemo-RheologyHemo-Rheology Tumor-AssociatedTumor-Associated OsmoticOsmotic && InterstitialInterstitial FluidFluid PressuresPressures CellCell MembraneMembrane NuclearNuclear MembraneMembrane Reference: M. Ferrari, Cancer IonicIonic && MolecularMolecular PumpsPumps Nanotechnologies, Nature Reviews Cancer, March 2005 ScanningScanning EMEM ofof NormalNormal VasculatureVasculature vsvs AbnormalAbnormal TumorTumor BloodBlood VasculatureVasculature
Normal vasculature
Tumor vasculature
McDonald and Choyke. Nat Med. 2003;9:713. MorphologyMorphology ofof TumorTumor VesselsVessels
Luminal surface Luminal surface of normal blood vessel of tumor vessel Endothelial sprout on tumor vessel
Barriers are impediments but also opportunities: Enhanced Permeation and Retention (EPR)
Baluk et al. Curr Opin Genet Dev. 2005;15:102. WeWe notice…notice…
TheThe existingexisting clinicalclinical NP-basedNP-based therapiestherapies (liposomes,(liposomes, Abraxane)Abraxane) areare notnot basedbased onon biologicalbiological targetingtargeting // molecularmolecular recognitionrecognition
TheyThey areare “Directed”“Directed” and and provideprovide concentrationconcentration benefitsbenefits byby interactionsinteractions withwith biologicalbiological barriersbarriers
BioBarriersBioBarriers may may bebe suitablesuitable forfor imagingimaging Delivery Strategies
¾ Targeting the tumor vasculature: Multi-stage particle phase 1: circulating particle (sub-micrometer) adheres firmly to the walls of the tumor microvasculature; phase 2: smaller particles release and diffusion into the tumor micro- environment towards the target cells phase 3: internalization by the tumor cell
Margination, Adhesion and Endocytosis RationalRational designdesign ofof NanoparticlesNanoparticles based based on:on: Margination,Margination, AdhesiveAdhesive StrengthStrength (Specific(Specific andand NonSpecific),NonSpecific), EndocytosisEndocytosis
The adhesive strength of a particle is controlled by: ¾ specific interactions: ligand-receptor binding; ¾ non-specific interactions: vdW, electrostatic, steric.
t[s] Time for Margination 200 Rc 150 100 Δρ = 1000 kg/m3 70 50
30 20 15 R[nm] 50 100 500 1000 5000 10000
(Decuzzi, …, Ferrari, Annals of Biomed Engr 2004, 2005; Biomaterials 2006) Optimization of Particle Design
-2 Example I: capillaries with μS = 1 Pa and mr = 100 μm , the -2 3 optimal volume for a spherical particle would be Vopt = 5×10 μm , corresponding to a diameter of about 500 nm.
Example II: under the same physiological conditions, an oblate
particle (γ=2) with the same Pa of a spherical particle with a diameter 3 of 500 nm, would have a volume Vopt = 3.5 μm : a carrying capacity about 50 times larger. DesignDesign mapsmaps
(Decuzzi & Ferrari) Transition to Multi-Stage Vectors FirstFirst StageStage Vector:Vector: NanoporousNanoporous SiliconSilicon ParticlesParticles
Back Side Front Side Cross Section
200 1 µm 1 µm 200 nm 1 m nm Pores Nucleation Layer Cross Section
Large Pores (LP)
20 nm 20 nm 20 nm Back Side Front Side Cross Section
100 nm
1 µm 1 µm 200 nm Pores Nucleation Layer Cross Section
20 Small Pores (SP) nm
20 nm 20 nm 20 nm 20 nm is tg etr aooosSiliconParticles First StageVector:Nanoporous
Large Pore in Large Pore in Cell Culture TRIS buffer +
Media Saline
0 hours 0 hours
0 hours5 0 hours5
LP 48hours
LP 48hours Biodegradation: SEMimaging
5 hours 5 hours
18 hours 18 hours
8 hours 8 hours
SP 48hours SP 48hours
24 hours
24 hours 11 hours 11 hours Silicon Particles Silicon Particles Nanoporous Nanoporous Biocompatibility
12 hours 24 hoursSP oxidized 48 hours 72 hours SP Aptes LP oxidized LP Aptes First Stage Vector: First Stage Vector: SecondSecond StageStage NanoparticlesNanoparticles:: IntroductionIntroduction
Quantum dots (Q-dots)
Liposomes
Hydrophobic molecules
Hydrophilyc molecules
Water Lipid bilayer
Single Wall carbon Nano Tubes (SWNT) SummarySummary
NanochanneledNanochanneled Delivery Delivery SystemsSystems aa PassivePassive TransportTransport (nDS-1)(nDS-1) inin commercialcommercial translationtranslation stagestage withwith SematechSematech aa ActiveActive SystemsSystems (nDS-n)(nDS-n) inin techtech developmentdevelopment
PeptidomePeptidome Enrichment Enrichment NanochipsNanochips for for MSpecMSpec aa BiomarkerBiomarker identificationidentification –– BRCA BRCA
RationalRational DesignDesign ofof MultistageMultistage NanovectorsNanovectors aa Conjugation/TargetingConjugation/Targeting Biodegradation Biodegradation aa Loading/ReleaseLoading/Release Biocompatibility Biocompatibility Thanks!Thanks!
[email protected]@uth.tmc.edu