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Cell Biology Core •Cell Optimization and Robustness: •Countless cycles of replication and death have occurred and the criterion for survival is the passage of DNA despite the challenges: •1. number of proteins per cell • 2. salinity and pH • 3. Temperature • 4. nutrient level • 5. environmental factors Cell Biology Core •Cell Functions: Systems Bioengineering •Cells optimize functions for efficiency and robustness, similar to optimization of industrial production •Functions can be dissected into steps performed by modules •Modules contain many proteins and communicate with other modules •Quantitative measures of function are important: death vs. life is far from full story •Control theory approaches are useful •Compartmentalization and term limits correlate robustness Cell Biology Core Neurofacin Fz GPCR(ai) AC5,6 CRAC (Ca++) GPCR(aq) IR Wnt AA CK2 bg DSH aq ai/o PLC DAG cSrc Grb2 1,4,5PIP3 Ca++ Ch PDK Ank-4 CITRON Rap-GAP EPAC GAP cdc42 Rap1 IP3R PDE Ca++ BAD Jak JIP STAT3 IQGAP LIMK PAK a-catenin PKA MEK5 MEK6 MEK4 I1 PP1 PP2A JNK/SAPK p38 HOMER NO BMK NFAT aq Cofilin Ras-GAP a-actinin Can YOTIAO MP1 profilin MAPK1,2 Axin MKP GSK-3 Ran cPLA2 Ran-GEF S6K MTOR RSK MNK GRIP Ran-GAP L1 ankyrin IF's AMPAR Plectin SHP 2 60S 80S1 48S E1 43S S6 eEF2K E2 GPCR(aq) mGLU-R cGMP MAPKAP Microtubule NMDAR glutamate MEK1,2 PIP2 N cadherin CaMKK MLK3 RhoK myosin cSrc CaMK2 PKB/AKT MEKK Raf-1 WAVE Actin Gelsolin Ca++ PSD95 Ca++ cAMP B-Raf MARCK Myosin PPase SMC Vinculin Na+Ch as AKAP-79 FYM b-catenin H202 bg PKC CAT Cool/PIX TAL PAX ILK AC1/8 CaM a-actinin Talin IRS-1 Rac IP3 CRK integrin PI3K AC2 SoS FAK CAS SHP2 SoS SHC Grb2 Ras Rho Abl GPCR(as) RTK 80S2 60S S6 40s Ca++ E NSK MUNC18 syntaxin SNAP25 PHAS Synaptophysin Synaptobrevin Ca++ Synaptotagmin mRNA CBP cd2 FOS LamininA,B STAT3 Tcf/Lef b-catenin SIRP 2B CoRest NRSF mSin3 Elk AP1 jun CREB MEF2 CREM SRE NFAT ATF2 CAMK4 ZIF268 Rabphilin Rab3 RM Cell Biology Core •Cell Size and Number of Molecules •Volume of a 3T3 cell of 15 mm in diameter (4/3pr3 = 2000 mm3 or 2 x 10-9 cm3) vs. bacterium two microns in length and 0.8 micron in diameter (volume lpr2 = 1 mm3 or 1x10-12 cm3) •Protein Concentration in Cytoplasm ~180 mg/ml (average protein is 50 kDa, the 3.2 mM protein or 2 x1018 molecules per ml) •No. Proteins/Cell is 4 x 109 molecules per eukaryotic cell or 2 x 106 molecules per prokaryotic cell (if 10,000 different proteins for the eukaryotic and 2,000 for the prokaryotic, then about 105 molecules of a protein per cell) Cell Biology Core Cell Biology Core Life at Low Reynolds Number (diffusion and transport) •Reynold’s number R = vLr/h •Example: fish vs. bacterium Cell Biology Core •Reynold’s number R = vLr/h •fish of density approximately that of water (r = 1 gm/cc), length of 10 cm (L), moving at a velocity of 100 cm/sec (v) in water (h = 0.01 g/cm sec), we calculate R to be about 105. •bacterium of the same density, length of 1 micron (L = 10-4 cm), moving at a velocity of 10-3 cm/sec through water, we calculate R to be 10-5. Cell Biology Core Viscous Drag on Particles •Einstein-Smoluchowski relation • vd fd = Fx •The drift velocity of the particle (vd) is related to the external force (Fx) by a constant called the frictional drag coefficient (fd) Cell Biology Core •Because the drag is the same for diffusion as for externally applied forces, the diffusion coefficient can be derived D = kT/ fd • •For the special case of a spherical particle, Stokes’ law gives the relationship between force and velocity. • f = 6phr v Cell Biology Core •For a sphere we know from Stokes’ law that fd = 6phr, which enables us now to calculate D directly • Dsphere = kT/6phr •For a one micron sphere in water fd = 9.5 x 10-6 g/sec and Dsphere = 4.4 x 10-9 cm2/sec Cell Biology Core One-dimensional Diffusion Assumptions: 1. Steps of r length occur at regular intervals (t) 2. The direction of each step is equally likely to be + or – independent of previous steps. 3. Each object moves independent of other particles. Cell Biology Core Root-mean-square displacement •Single particle tracking of gold particles or single fluorescent molecules enables diffusion measurements at the single molecule level. • 2D1t = < DX2> Cell Biology Core Gaussian Distribution of Diffusing Particles •If all of the particles are at the origin originally, the distribution after many elemental steps follows a Gaussian • P(x)dx = (1/(4pDt)1/2) e-x2/4Dt dx •For a normal curve the fraction of the area within one standard deviation (s = (2Dt) 1/2) is approximately 68% of the total area Cell Biology Core •Practical Implications of the Diffusion Equation •For a cell (v = 3000 mm3 or a cylinder 2 mm high and 44 mm in diameter), diffusion of typical proteins would take ~40 sec to travel about 20 microns (D = 10-7 cm2/sec) •For an axon one meter in length, typical proteins would require 1011 seconds or about 3,000 years Cell Biology Core •Non-ideal Diffusive Processes •Recent analyses of single particle tracking of diffusing proteins, vesicles, etc in cytoplasm have found many MSD versus time plots are non-linear •Two different types of non-linearity are observed often in cells; confined diffusion and flow plus diffusion Cell Biology Core •Confined Diffusion •Many objects in cells have limited access to different regions of cytoplasm. •Endoplasm, MT •Ectoplasm, cortex Cell Biology Core •Diffusion in a Flowing Medium •If a particle is diffusing within a medium that is moving or if the particle has a drift generated by a constant force (e.g. magnetic), then MSD versus time will show a positive deviation (quadratic). • < DX2> = 2D1t + (vt)2 Cell Biology Core •Diffusive Transport •We will consider a simple case of synthesis and assembly in cytoplasm. Site A is where a protein is being translated and folded properly. Site B is where the protein is assembled into a working complex. Proteins need to get from A to B for assembly. How can we describe the process? Cell Biology Core •One-dimensional Diffusive Transport •One way to understand diffusive transport is to go back to the diffusing drunks and to talk about 2 bars at closing. Assume that the bars are one step from each other and that 200 are in one vs. 100 in the other bar. At early times will there be a net transport? Cell Biology Core Fick’s Law. Jx = -D dC/dx where Jx is the flux in the x direction, D is the diffusion coefficient, dC/dx is the concentration gradient in the x direction. Cell Biology Core Substrate Rigidity Can Direct Movement •Lo et al., 2000. Biophys. J. 79:144-152 Cell Biology Core Cell Biology Core Cell Biology Core