Download Comparing Different Linear Expression Systems

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts

Copy-number variation wikipedia , lookup

History of genetic engineering wikipedia , lookup

Transcription factor wikipedia , lookup

No-SCAR (Scarless Cas9 Assisted Recombineering) Genome Editing wikipedia , lookup

Long non-coding RNA wikipedia , lookup

Epigenetics of depression wikipedia , lookup

Protein moonlighting wikipedia , lookup

Epigenetics in learning and memory wikipedia , lookup

Primary transcript wikipedia , lookup

Genome evolution wikipedia , lookup

Epigenetics of neurodegenerative diseases wikipedia , lookup

Genetic engineering wikipedia , lookup

Genome (book) wikipedia , lookup

Epigenetics of human development wikipedia , lookup

Gene wikipedia , lookup

Point mutation wikipedia , lookup

Saethre–Chotzen syndrome wikipedia , lookup

The Selfish Gene wikipedia , lookup

Neuronal ceroid lipofuscinosis wikipedia , lookup

RNA-Seq wikipedia , lookup

Gene therapy wikipedia , lookup

Epigenetics of diabetes Type 2 wikipedia , lookup

Helitron (biology) wikipedia , lookup

Vectors in gene therapy wikipedia , lookup

Site-specific recombinase technology wikipedia , lookup

Gene desert wikipedia , lookup

Gene expression profiling wikipedia , lookup

Gene expression programming wikipedia , lookup

Nutriepigenomics wikipedia , lookup

Gene therapy of the human retina wikipedia , lookup

Microevolution wikipedia , lookup

Gene nomenclature wikipedia , lookup

Designer baby wikipedia , lookup

Artificial gene synthesis wikipedia , lookup

NEDD9 wikipedia , lookup

Therapeutic gene modulation wikipedia , lookup

Transcript
Comparing Different Linear Expression Systems
Using the beta-estradiol regulated system: This system works by adding a vector
that makes a fusion protein, under a promoter of moderate strength. The fusion
protein contains the beginning of the Gal4 gene, the middle of the hER gene (the
beta-estradiol binding part), and the end of the VP16 gene. (The end of the
VP16 gene serves the same purpose as the end of the Gal4 gene would serve –
perhaps it’s just a stronger version.) When beta-estradiol binds, something
happens (a conformational change?) so that the two pieces, Gal4 and VP16,
come together and are able to activate transcription of the gene of choice (in our
case, the phospholocator gene).
Pros:


All you do is add a plasmid – easy!
Relationship between beta-estradiol added and output protein
seems fairly linear

In order for this system to work the same independent of carbon
source, you need to use a Gal4-knockout strain. But we
decided we don’t care; we’ll use the Gal4+ strain.
Cons:
Using the TetR/Doxycycline system: This system works in the following way:
Through normal cell processes transcription of Swi5, Clb2, or Bud1 is activated.
A promoter for any of these genes is put next to the gene for rtTA; transcription of
the gene rtTA is activated. rtTA makes a tetracycline activator, but with a twist: it
only works when doxycycline is present. Then, dox and the tet activator form a
complex, and they bind to a special promoter, constructed for this system.
(There are actually 3 promoters you could use, with slightly different
characteristics – Ptet01, Ptet02, and Ptet07). This promoter causes transcription
of Your Favorite Gene.
Pros:

You can many degrees of freedom – can change the [dox], or
which promoter you are using upstream of rtTA.

You need to add in several things: the rtTA gene, and you need
to replace the promoter for the phospholocator with one of the
tet promoters.
Expression is sigmoidal, not linear.
We don’t have as much help from the people who wrote this
paper.
Cons:

