Janet B. Matsen:Key Ideas

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** Regulation is combinatorial.  You can't assume that knowledge of one regulator will allow you to change a enzyme activity however you want, as that gene may be regulated by several key regulatory elements.  You might not even know the others exist.  ** Often there are multiple promoters within a gene.  RNAseq can be useful for identifying this scenario.
** Regulation is combinatorial.  You can't assume that knowledge of one regulator will allow you to change a enzyme activity however you want, as that gene may be regulated by several key regulatory elements.  You might not even know the others exist.  ** Often there are multiple promoters within a gene.  RNAseq can be useful for identifying this scenario.
** Synthetic biologists often think of the cell as they do about circuits.  One of the key problems with this is that they are neglecting context.  Cells are very complicated at every level and there are many interactions one will not know about.  Thus it is important to investigate how an added pathway interacts with the rest of the cell.  Of course this is difficult and expensive due to the required techniques, and won't necessarily give clear answers as there is a lot of nonlinearity.   
** Synthetic biologists often think of the cell as they do about circuits.  One of the key problems with this is that they are neglecting context.  Cells are very complicated at every level and there are many interactions one will not know about.  Thus it is important to investigate how an added pathway interacts with the rest of the cell.  Of course this is difficult and expensive due to the required techniques, and won't necessarily give clear answers as there is a lot of nonlinearity.   
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** Cells don't usually need regulation at steady state.  Regulation is used to move from one steady state to the next.
** Often transcript abundance correlates with metabolic flux, but this isn't always the case.  Our lab often finds anticorrelation between the two, likely due to the necessity to keep the concentration of toxic intermediates low.  
** Often transcript abundance correlates with metabolic flux, but this isn't always the case.  Our lab often finds anticorrelation between the two, likely due to the necessity to keep the concentration of toxic intermediates low.  
*2012/08: when you have cells under starvation, it can look like they grow for two reasons:
*2012/08: when you have cells under starvation, it can look like they grow for two reasons:

Revision as of 20:45, 11 January 2013

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Notes for my project by date:

  • 2013/01/11:
    • Regulation is combinatorial. You can't assume that knowledge of one regulator will allow you to change a enzyme activity however you want, as that gene may be regulated by several key regulatory elements. You might not even know the others exist. ** Often there are multiple promoters within a gene. RNAseq can be useful for identifying this scenario.
    • Synthetic biologists often think of the cell as they do about circuits. One of the key problems with this is that they are neglecting context. Cells are very complicated at every level and there are many interactions one will not know about. Thus it is important to investigate how an added pathway interacts with the rest of the cell. Of course this is difficult and expensive due to the required techniques, and won't necessarily give clear answers as there is a lot of nonlinearity.
    • Cells don't usually need regulation at steady state. Regulation is used to move from one steady state to the next.
    • Often transcript abundance correlates with metabolic flux, but this isn't always the case. Our lab often finds anticorrelation between the two, likely due to the necessity to keep the concentration of toxic intermediates low.
  • 2012/08: when you have cells under starvation, it can look like they grow for two reasons:
    • 1. they start eating the proteins in the ribosomes
    • 2. they can divide, which increases OD
    • note: neither of these cause increases in dry cell weight, so this is a good way to measure growth.
  • 2012/04: You can drive a few kb with LacI: naturally it drives ~4.9 kb (lacZ = 3075, lacY: 1254 bp, lacA: 612 bp)
  • 2012/05: Do we have an easy (non enzymatic) assay for methanol? Betsy's Answer: Not that I'm aware of but you could probably come up with a bioassay using feeding experiments if it doesn't have to be quantitative. What are you trying to do?
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