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Control of Endothelial Gene Expression via Fluid Induced Shear Stress

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Presentation on theme: "Control of Endothelial Gene Expression via Fluid Induced Shear Stress"— Presentation transcript:

1 Control of Endothelial Gene Expression via Fluid Induced Shear Stress
Danielle Cook & Adam Siegel MIT BE.400 Fall 2002 November 14, 2018

2 Overview Fluid flow-induced shear stress ()
 gene transcription in endothelial cells Our Project Aims: MODEL a pathway from shear stress to gene expression Design EXPERIMENTS employing microfluidics with fluorescence detection techniques to quantify the relationship UTILIZE modeling and experimentation results of system to engineer a new tool for flow-controlled gene expression Future applications: flow-mediated gene therapies, gradient tissue engineering, cell-based flow sensor

3 Flow Mediated Mechanotransduction
Endothelial cells: Form monolayer between blood and arterial wall Hemodynamic forces regulate cell via flow mediated signal transduction Several applicable forces Fluid Shear Stress Compressive Stress Circumferential Stress Mechanisms by which cells identify and respond to shear stress forces are still unclear – no single “mechanosensor” protein… Papadaki and Eskin, 1999

4 Flow Mediated Membrane Proteins
G-Protein Linked Receptors Shear stress activation alters concentrations of 2nd messengers Exact mechanism unclear - plasma membrane itself may activate G-proteins from changes in lipid bilayer fluidity Ion Channels Ca++ and K+ are the primary channels Stretch induced?: Asymmetries in trans-bilayer pressure profile Secondary activation by G-proteins Integrins Activation via cytoskeletal changes Activation of MAPK (ERK) pathways

5 The NF-B Signaling Pathway
NEEDED: Simple biochemical pathway linking  to gene expression Model-able with known parameters Experimental detection of mechanoresponsive behavior possible FOUND: G-proteins activated by  lead to activation of the NF-B transcription factor NF-B binds to the Shear-Stress Response Elements (SSREs) in some gene promoters pps98.cryst.bbk.ac.uk/assignment/ projects/ruiz/PROJ/nfkb.gi

6 Model Setup – Overview Stage I cell membrane Stage II G DAG Ca
Shear Stress cell membrane G Stage II DAG PKCa PLC PIP2 Ca Stage III IKKa IP3 NF-kB IkB IkB mRNA nucleus

7 * Model Setup – Stage I Casc Cai Cadc Stage II Model Stage II model
Extracellular Ca Tau G kaΦ kb cell membrane PLC Pcai Casc PIP2 Cai Jout Psd k3 k4 kdag Stage II Model * DAG IP3 P(IP3) Cadc Stage II model cytosol

8 * Model Setup – Stage II Cai Stage I Model Stage III Model
cell membrane PKC-DAG memb DAG PKC-Ca memb * PKC-Ca DAG PKC-basal Cai Stage I Model PKC-Ca IKKi-PKCa PKC-cyto IKKi IKKa Stage III Model cytosol

9 Model Setup – Stage III IkB Stage II Model cytosol IkB NF-kB NF-kB
IKKa cytosol IkB NF-kB NF-kB nucleus NF-kB IkBαt IkBβt IkBεt IkB NF-kB IkB IkBα IkBβ IkBε

10 Model Formulation Typical reactions A + B AB E + S ES P + E
Equations also describe translocation and mechanical deformation of molecules 39 first-order ODEs 83 Parameters, all from literature Equations solved in Matlab v.6.5 using ode23s: Function for no stress conditions to retrieve initial conditions Function for applied stress conditions

11 Model Modifications from Lit.
P(Cai) redefined to balance Jout maintains resting calcium level when  = 0 dyne/cm2 does not produce a calcium transient like the original model makes the dc compartmental calcium the only source for intracellular calcium AA-dependent components eliminated from Stage II Initial concentrations estimated from steady state runs under no applied shear stress to match concentrations of comparable molecules

12 Model Assumptions Active PKC is the sole enzyme activating IKK
NF-B-induced promotion of IB is not an atypical example of NF-B action Active NF-B binds to IB promoter and nowhere else on DNA No other pathways modulate any of our pathway molecules as a function of shear stress Cells do not change shape or move during fluid flow Cells that do not grow, divide, or do anything unusual over 16 hour simulation period

13 Model Results – [Activated NF-kB]

14 Final Output (short term) Pulse of activated IKK creates active NFkB in the nucleus which leads to transcription of IkB mRNA

15 Model Results – [IkBα mRNA]
16 hr

16 Model Conclusions Pathway is sensitive to magnitude of  until activation of IKK Inactive IKK is quickly consumed by enzymatic reaction with active PKC, rendering downstream reaction independent of  level NF-B is activated in pulses by active IKK IB mRNA and protein levels produced in distinct periods at decreasing levels

17 Experimental – Typical Setup
Inject cells with fluorescent NF-kB, IkB plasmids Grow cells selectively on protein-microstamped surfaces Enclose live cells in PDMS channels Induce laminar fluid flow Measure fluorescence via Fluorescent Resonant Energy Transfer (FRET)

18 FRET Cell Preparation FRET in a nutshell:
Modified from: Truong and Ikura, 1999 FRET in a nutshell: fluorophores apart  see both colors fluorophores together  see ~one color Plasmids: Buy from Clonetech CFP with NF-kB, YFP with IKB Cells: Human UVEC (Umbilical Cord Endothelial Cells) or BAECs (Bovine Arterial Endothelial Cells)

19 Experimental – FRET Fluorescence Detection
CFP intensity over population of cells proportional to the average activated NF-B in a single cell Monitor YFP and CFP intensity difference over time more bound less bound Modified from: Truong and Ikura, 1999

20 Experimental – Culture/Channel Construction
resist substrate μ-stamped glass slide PDMS Create microchannel master using basic photolithography rapid prototyping Apply PDMS and cure to solidify Remove PDMS from substrate, align and seal to culture cover slide Cast PDMS elastomer stamp from master Coat with adhesion protein (fibronectin, polylysine), contact glass slide Rinse slide First Resist Application Pattern Transfer to Si Second Resist Development Resist Reflow

21 Experimental – Shear Stress Stimulus
Newton’s law of viscosity: τ = μ du/dy Velocity profile in microchannel Generate fluid flow in microchannels via automated applied force from syringes velocity profile y u micro/plastic.stm

22 Proposed Experiments FRET GFP expression Cellular mRNA
Intermolecular – For unbound cytosolic NF-kB Intramolecular – NF-kB may change conformation with IkB dissociation or DNA association Plot NF-kB(t,) GFP expression Transfect cells with GFP, expressed under NF-kB regulation Plot steady-state concentrations of GFP Use to determine IkBα mRNA as F(t,) Cellular mRNA Isolate IkB mRNA on a DNA microarray Correlate Results with modeling results Last resort since cells die

23 FRET Measurements Checklist
Fluorophore-fused NF-kB and IkB function like native proteins are expressed at similar levels to native proteins are expressed at higher levels than untagged proteins, but not so high that cell pathway reactions are changed Examine conformational change upon un/binding of NF-kB from IkB for intermolecular FRET NF-kB with DNA for intramolecular FRET Measure background signal from unattached proteins, i.e. find signal-to-noise ratio

24 Future Studies Induced Shear Stress Controlled velocity Microfluidic channel endothelial cell tissue Controlled protein X produced as a function of initial applied velocity Power our device is in developing novel technology producing biological response with mechanical stimuli Technology I: Flow sensor Cell “lights up” upon mechanical stimulus Potential for cells that sense multiple directions Technology II: Flow mediated Gene Expression Cell expresses a gene to a level based upon shear stress Possibilities in gene therapy Technology III: Spatially variable expression in single tissues via multiple laminar flow streams over tissue Uses laminar flow to stream flows upon a tissue at different stresses Flow induces on/off gene expression in each of the cells of the tissue

25 In Conclusion How endothelial cells sense shear stress
Use of the NF-kB Signaling Pathway Model Formulation Model Results & Conclusions Experiments to Verify Model Future Studies

26 Acknowledgements Special thanks to: Dr. Alice Ting Prof. Lauffenburger
Dr. Don Ingber Willow DiLuzio Ricardo Brau Jon Behr Samantha Sutton Ty Thompson Prof. Lauffenburger Prof. Matsudaira Ali Khademhosseini Everyone else in BE400!

27 References

28 Model Results – Cytosolic [Ca]


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