Cilia-driven flow fields for transport and selective capture of bacteria
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1 Cilia-driven flow fields for transport and selective capture of bacteria 0.1mm Janna Nawroth, Ph.D. Wyss Institute for Biologically Inspired Engineering, Harvard University Active Matter Kavli Institute for Theoretical Physics May 15 th,
2 Traditional drug development Time: 10 years Cost: $1 Billion/drug 2
3 Traditional drug development Time: 10 years Cost: $1 Billion/drug Reasons for drug failure: poor translation between test platforms and humans 3
4 The quest for a better in-vitro model of human disease and drug response Organ-on-a-chip 3-D microfluidic cell culture chip from human cells simulates characteristic mechanics and physiological responses of entire organs human platform for drug testing and disease models Example: lung-blood barrier function Duh et al. 2010, Science, Reconstituting Organ-Level Lung Functions on a Chip 4
5 Organ-on-a-chip design Biology Identify relevant structure-function relationships Structure and motion of building blocks (cells, matrix) Engineering Design, build and test structure-function relationships Emergent functions Quantitative metrics of organ fitness 5
6 Organ-on-a-chip design Biology Identify relevant structure-function relationships Structure and motion of building blocks (cells, matrix) Engineering Design, build and test structure-function relationships Emergent functions Quantitative metrics of organ fitness Example lung chip Metrics of fitness are Structural integrity Absorption air blood 6
7 2 case studies Muscle-powered fluid transport relevant to cardiovascular system Cilia-powered fluid transport relevant to respiratory organs, brain, Fallopian tube with John Dabiri (Caltech) Kit Parker (Harvard) Donald Ingber (Harvard) with Eva Kanso (USC) Margaret McFall-Ngai (UW Madison) Edward Ruby (UW Madison) John Dabiri (Caltech) Scott Fraser (USC) 7
8 Case study: human heart Heart Function 8
9 Case study: human heart Heart Function Body-fluid interaction Tissue geometry + Kinematics + Microstructure 9
10 A simplified heart: jellyfish 10
11 A simplified heart: jellyfish Jellyfish Function Body-fluid interaction Tissue geometry + Kinematics + Microstructure 11
12 Measuring jellyfish fitness Jellyfish function Feeding flux Propulsion Fluid transport + + Muscle fiber alignment Contraction kinematics Bell geometry 12
13 Muscle fiber alignment Anisotropic muscle layout Muscle fibers (F-actin, green) 5/21/ µm 13
14 Muscle fiber alignment Micropattern Anisotropic muscle layout Stamp 40µm 14
15 Muscle fiber alignment Jellyfish Engineered 15
16 Bell kinematics 16
17 Bell kinematics Muscle-elastomer composite 17
18 Bell kinematics Muscle-silicone 18
19 Body geometry Feitl, 2009; Nawroth,
20 Body geometry Feitl, 2009; Nawroth,
21 21
22 Real and artificial jellyfish propulsion Control: Jellyfish Optimal design Suboptimal design 22
23 Quantifying feeding and propulsion currents 23
24 Control: Flow field in jellyfish 24
25 Flow field in optimal Medusoid 25
26 Fitness metrics Nawroth JC et al. (2012) A tissue-engineered jellyfish with biomimetic propulsion 26
27 Heart-on-a-chip: further reduction Microstructure Tissue contractile stress Ref: A. Agarwal et al,
28 Case study: ciliated epithelium e.g., respiratory epithelium 28
29 Case study: ciliated epithelium e.g., respiratory epithelium 29
30 Cilia-powered fluid transport Ciliated epithelium (Paramecium) 10um Bulk flow profile 30
31 Cilia-powered fluid transport Ciliated epithelium (Paramecium) 10um Particle capture & clearance Transport of fluids, solutes and cells 31
32 Structure-function relationships of ciliated surfaces Cilia fitness Selective bacterial recruitment 32
33 Structure-function relationships of ciliated surfaces Cilia fitness Selective bacterial recruitment Fluid transport and mixing Surface geometry + Metachronal wave +?? Ciliary structure and kinematics 33
34 A master of selective bacterial recruitment: The Hawaiian bobtail squid Internal ciliated organ captures 1 µm bacteria species (Vibrio fischeri) from huge microbial background (0.5%), and wide range of particle sizes Retention efficiency in typical ciliary filter feeders #/ml Particle size distribution in coastal waters Jorgensen, 1994 Largest dimension in µm Reynolds et al.,
35 The squid ciliated organ 35
36 The light organ is subject low Reynolds number flow Light organ in mantle flow Ciliary flow of isolated light organ Eye Horns Light organ 1mm 100 µm UD Re 0.2 UD Re
37 The mucociliary trap Mucus aggregation 37
38 Red: cilia Green: Vibrio fischeri The mucociliary trap: not such a good trap? 10 7 particles/ml 50µm L U R Encounter model for passive cylinder in flow (Humphries, PNAS, 2009) Capture rate similar to predicted encounter rate of passive cylinder in flow No obvious increase in capture rate compared to chance 38
39 The mucociliary trap - not for everyone: Evidence for size-biased capture 1µm (blue), 2µm (green), 4µm (orange); 10 7 particles/ml each Red: cilia 100µm 39
40 Cilia-generated flow field 1 µm particles 100 µm 40
41 Cilia-generated flow field Particle path lines 41
42 Cilia-generated hydrodynamic sieve Particle tracking Ratio advected particles:captured particles 50:1 42
43 In vivo capture Appendages 4um 1um 50um 43
44 In vivo capture 4um 1um 44
45 Current work: Identifying structure-function relationships Cilia fitness Capture and aggregation of bacteria (-sized particles) Fluid transport and mixing + + Ciliary structure and kinematics Metachronal wave Surface geometry 45
46 Current work: Identifying structure-function relationships using a variety of methods and approaches 46
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Supplemental table S7. GO terms significantly enriched in significantly up-regulated genes of the microarray. K: number of genes from the input cluster in the given category. F: number of total genes in
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