Online Journal Club for November 2009
Our new format includes only relevant articles. If you have articles that you believe should be included in the online journal club, send them to me before the 20th of the month.
*1. SUMOylation of the mitochondrial fission protein Drp1 occurs at multiple nonconsensus sites within the B domain and is linked to its activity cycle. Claudia Figueroa-Romero, et al.
Presented at the Lab Meeting and
summarized below by Leslie Foster:
Upon reading this paper, it appears to
have given rise to more questions than answers. This is useful in that it gives
ideas for possible future experiments when studying SUMOylation of a specific
protein, yet also shows the complicated role of SUMOylation and the lingering
uncertainty of what is really going on.
In this article, dynamin-related protein
(Drp) 1 of HEK cells is discussed. Drp1, a cytoplasmic
protein that binds the outer membrane of mitochondria, provides the driving
force for mitochondrial membrane constriction and facilitates apoptosis by promoting this outer membrane’s
permeabilization. It is a target for many post translational modifications,
especially SUMOylation. It is made up of four domains: GTPase, Middle, B, and
GTPase effector, N- to C- terminus respectively. These domains were mutated
and/or deleted and analyzed to see how each variation affected SUMOylation. Specific
lysine residues in the B domain were determined to be the main sites of SUMO
interaction, which verifies previous papers stating SUMO binds to lysine. Upon
sequence alteration, it was also shown that binding may occur at nonconsensus
sites, allowing even more room for variation. This could also mean that
SUMOylation, being unrestricted to a strictly conserved sequence, plays such an
important role that even certain modifications or mutations will not prevent
binding. The last point of this group was that Drp1’s activity was affected by
SUMOylation upon substitution of K with A. There was an absence of the
protein’s activity and an increase in its SUMOylation.
The relevant ideas to take from this
paper include:
1.
Importance of
NEM in buffer.
Before, we were not sure about NEM’s role in our SUMOylation experiments since
some papers included it and others did not. Here, this lab performed an
experiment with and without NEM (irreversibly inhibits SUMO proteases) and
showed the presence and absence of a SUMOylation+protein band, respectively.
Therefore to ensure SUMO will remain bound so that we may analyze it, NEM is
necessary.
2.
A method for
determining binding sites of SUMO/Ubc9 on our protein of choice. This lab used
cotransformations in yeast for determining interactions between Ubc9 and its
target domain(s). This may be able to be applied to future studies in our lab
once we have found a specific protein in the brain that is SUMOylated.
3.
An alternate
perspective on SUMOylation’s role. Although much of the discussion in this
paper is non-conclusive, it is interesting to think that SUMOylation does not
solely act as protein stabilizer or degrader, as stated previously in many
other papers. Its interaction with the
protein of interest may not directly effect that protein; rather, enable
“functional consequences beyond SUMOylation of [protein of interest] itself”.
Link (PDF): http://www.fasebj.org/cgi/reprint/23/11/3917
*2. Update of the Stroke Therapy Academic Industry Roundtable Preclinical Recommendations. Marc Fischer et al.
As I warned you last month, this one is
a bit depressing. It underscores the failure of the field to really move
forward with clinically effective neuroprotectants, and responds with one more
turn of the screw. You should take a look, but here’s a summary:
1.
Sample
size calculations need to be presented in detail. Parmetric data must be
reported as 95% CI or std dev rather that std error.
2.
Explicit
exclusin and inclusion criteria, applied prospectively.
3.
Randomization.
Fortunately, we are ahead of the game here.
4.
Allocation
concealment. Again, we are ahead of the game.
5.
Reporting
of animals excluded from analysis. A significant change that we will
incorporate into our standard approach.
6.
Blinded
assessment of outcome. Another area in which we have proactively caught the
wave.
7.
Reporting
potential conflicts of interest and study funding. We should have more of these
kinds of problems.
8.
Studies
in old, sick, female and gyrencephalic animals. We have discussed this at
length. I won’t belabor the point.
9.
Dose-response
studies. It appears that the authors believe these should encompass both
biochemical endpoints and outcome.
10. Window-of-opportunity.
11. Multiple outcome
endpoints, including “long term” endpoints.
12. Physiological
monitoring.
In summary: the bar is always getting
higher. We have to keep up.
Link (PDF): http://stroke.ahajournals.org/cgi/reprint/40/6/2244