Dayle
Parnell-Lampen (Providence) and Kirsten Prufer, Biological
Sciences
Developing an immunoprecipitation method to identify nuclear
transport protein interactions of LXRα and LXRβ
LXRα and LXRβ are nuclear receptor proteins involved
in cholesterol metabolism. The precise mechanism of the nuclear
transport of these proteins is not yet understood. In this
experiment, the objective was to better understand this transport
by developing a method to identify which nuclear transport
proteins bind to LXRα and LXRβ in the cytoplasm and in the
nucleus. 293 cells used in this experiment contained plasmids
bearing a gene for YFP spliced next to a gene for either LXRα
or LXRβ so that the genes would be translated into a single
YFP-LXR protein. Once enough protein was synthesized, two
different extraction methods were used. A cellular fractionation
using a Dounce homogenizer was done to isolate nuclear and
cytoplasmic extracts and RIPA whole cell extracts were also
made. These extracts were immunoprecipitated with a GFP antibody
and a rabbit IgG antibody as a control. Western blot analysis
was performed on the isolated proteins and staining was done
for RXR. RXR was chosen because it is a heterodimer of LXR
and is expected to interact very strongly with LXR. The gels
consistently showed bands at the molecular weight of RXR but
the protein did not appear to be specifically pulled down
by the GFP antibody. Extracts that had not been subjected
to immunoprecipitation were also stained for RXR as an additional
control. While the fractionation method using the Dounce homogenizer
showed RXR staining, the RIPA extracts did not. This indicates
that the RIPA extraction method is unsuitable for this procedure
as it probably causes degradation of the proteins. Overall,
these results indicate that this method was unsuccessful.
An optimized immunoprecipitation method, using the cellular
fractionation by Dounce homogenizer technique, will need to
be developed in order to identify the nuclear transport protein
interactions of LXRα and LXRβ
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