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Recombinant maxi-K Channels on Transistor, A Prototype of Iono -electronic Interfacing

Recombinant maxi-K Channels on Transistor, A Prototype of Iono -electronic Interfacing. Authors: B. Straub, E. Meyer, and P. Fromherz Presenter: Todd Finkler. Disclaimer.

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Recombinant maxi-K Channels on Transistor, A Prototype of Iono -electronic Interfacing

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  1. Recombinant maxi-K Channelson Transistor, A Prototype of Iono-electronic Interfacing Authors: B. Straub, E. Meyer, and P. Fromherz Presenter: Todd Finkler

  2. Disclaimer You are about to enter the world of the unknown. The presenter’s background is in computer engineering, more specifically in networks. NOT in biological engineering or biology or medical or in any field that would make this topic easy. However, this topic is interesting to the presenter, so the presenter is wading forth into an area of unknown. If you chose to enter, you do so at your own risk. You may or may not get correct answers to your questions. You may or may not walk away from this talk more confused than when you entered the room. There are some really smart people who are examining this field and the presenter is not one of them. If you cannot read this, tough. If you can read this, I did not make this small enough. My bad. The presenter will not be held responsible for any misguided teachings from this presentation. If you cannot agree to this, you know where the door is since you came through the door to get here. This disclaimer is meant for entertainment purposes only, and is by no means intended to be serious. If, up to this point, you are still reading this and you still think this is serious, you need to take a break from school – especially since it is still so early in the semester. And if you are still reading this, you have a much longer attention span than I have. But that is good, because you will probably one of the few who actually pay attention to the whole presentation. Thanks for paying attention this long. Thanks also to those who have supported my efforts to this point, including Weiwei for asking a barrage of questions while I was developing these slides. Additionally, thanks to Koranan for her patience in getting this presentation at the last minute. And finally, thanks also to Professor Newcomb for hopefully giving me an “A” in this class for the semester. Enough with this nonsense and lets move on with the presentation. The following is a repeat of the above. You are about to enter the world of the unknown. The presenter’s background is in computer engineering, more specifically in networks. NOT in biological engineering or biology or medical or in any field that would make this topic easy. However, this topic is interesting to the presenter, so the presenter is wading forth into an area of unknown. If you chose to enter, you do so at your own risk. You may or may not get correct answers to your questions. You may or may not walk away from this talk more confused than when you entered the room. There are some really smart people who are examining this field and the presenter is not one of them. If you cannot read this, tough. If you can read this, I did not make this small enough. My bad. The presenter will not be held responsible for any misguided teachings from this presentation. If you cannot agree to this, you know where the door is since you came through the door to get here. This disclaimer is meant for entertainment purposes only, and is by no means intended to be serious. If, up to this point, you are still reading this and you still think this is serious, you need to take a break from school – especially since it is still so early in the semester. And if you are still reading this, you have a much longer attention span than I have. But that is good, because you will probably one of the few who actually pay attention to the whole presentation. Thanks for paying attention this long. Thanks also to those who have supported my efforts to this point, including Weiwei for asking a barrage of questions while I was developing these slides. Additionally, thanks to Koranan for her patience in getting this presentation at the last minute. And finally, thanks also to Professor Newcomb for hopefully giving me an “A” in this class for the semester. Enough with this nonsense and lets move on with the presentation. The following is a repeat of the above. You are about to enter the world of the unknown. The presenter’s background is in computer engineering, more specifically in networks. NOT in biological engineering or biology or medical or in any field that would make this topic easy. However, this topic is interesting to the presenter, so the presenter is wading forth into an area of unknown. If you chose to enter, you do so at your own risk. You may or may not get correct answers to your questions. You may or may not walk away from this talk more confused than when you entered the room. There are some really smart people who are examining this field and the presenter is not one of them. If you cannot read this, tough. If you can read this, I did not make this small enough. My bad. The presenter will not be held responsible for any misguided teachings from this presentation. If you cannot agree to this, you know where the door is since you came through the door to get here. This disclaimer is meant for entertainment purposes only, and is by no means intended to be serious. If, up to this point, you are still reading this and you still think this is serious, you need to take a break from school – especially since it is still so early in the semester. And if you are still reading this, you have a much longer attention span than I have. But that is good, because you will probably one of the few who actually pay attention to the whole presentation. Thanks for paying attention this long. Thanks also to those who have supported my efforts to this point, including Weiwei for asking a barrage of questions while I was developing these slides. Additionally, thanks to Koranan for her patience in getting this presentation at the last minute. And finally, thanks also to Professor Newcomb for hopefully giving me an “A” in this class for the semester. Enough with this nonsense and lets move on with the presentation. The following is a repeat of the above.

  3. Joining Computer and Brain • Why Important? • The challenge – different charge carriers • Computer – electrons in solid ion lattice • Brain – electrons in polar fluid

  4. A Little Biology…

  5. How Cells Transmit Signals…

  6. How Cells Transmit Signals (cont.)

  7. Passing the Signal

  8. What Cell to Use? • HEK293 – What? • Human Embryonic Kidney cell line with sheared adenovirus 5 DNA • HEK293 – Why? • Conductance properties • Well-defined ion channel

  9. What Interface? • human slowpoke (hSlo) maxi-KCa channel • Perfectly controlled by patch-clamp • Displays high single-channel conductance yielding large membrane current. • Is target for estradiol – potentially useful for biosensor

  10. Neuron on Transistor

  11. Applying Voltage to the Cell 58 mV 53 mV 45 mV 40 mV 30 mV -23 mV -68 mV

  12. Average Transistor Signal VJ/IM = 73 mV/nA

  13. Relations VJ = RJAJMgJM(VM – V0)where: VJ is the extracellular voltage in the gap RJ is the gap’s ohmic resistance AJM is the area of the attached membrane gJM is the average specific K+ conductance IM = AMgM(VM – V0) VJ / IM is constant experiementally, so… gJM / gM must be constant for all VM

  14. And… Boltzmann’s equation can describe their voltage-dependent gating g/gbar = 1/(1 + e[z(V0.5 – VM)/Vth] ) where… z is the gating charge V0.5 is the half-maximum activation at a max specific gbar

  15. Conductance Measurements

  16. Questions

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