In BIOL 182, we learned of secondary messengers, which are
intracellular signaling molecules released in response to extracellular
triggers. A molecule, perhaps a hormone of some sort, would bind to a receptor
protein on the cell membrane, which would “turn on” proximal G-proteins by
allowing them to switch their bound GDP with GTP. At this point, the G-proteins
detach from the cell membrane, and bind to proteins classified as “primary
effectors” along the inner cell membrane. These primary effectors can release
their own signals via a biochemical reaction, signals being other molecules
that can create a response within the cell by binding to other proteins. These
signals, and all biochemical reactions in general, are governed at least in
part by Brownian motion; without random walking, there can be no collisions
between substrates and enzymes, or even between simple molecules to initiate
chemical reactions.
Below is a simple calculation of the time it would take for the
average cyclic adenosine monophosphate molecule, a common secondary messenger, may
diffuse from near the cell membrane 1-dimensionally into the nucleus, where it
will interact with DNA-binding proteins, under the assumption that there are no
other larger particles hindering its random walk (a very ideal scenario!). All
values were approximated with quick online research, with the radius of the
substrate (assumed spherical) being calculated from the approximated surface
area derived from a molecule calculator.
The time it would take without any helpful or detrimental
interactions to reach the nucleus from near the cell membrane would be 0.61
seconds, assuming 1-dimensional motion. This seems a little slow, but as this
value was obtained using approximations and discounting all possible cell
process that could have hindered or progressed this substrate’s journey to the
nucleus, it’s difficult to say what the actual time period will be.
Another thing to think about is how we can predict reaction
rates in general; with a higher concentration of proteins and substrates would
come greater rates of reaction, due to the larger number of particles
participating in random walking, which would increase the chances of a
collision and meaningful interaction occurring. Reaction rates in high school
and early college courses are simply given to us as detached values to plug and
chug, but it may be interesting to consider the underlying phenomenon behind
these otherwise uninteresting numbers.
Though obviously cell processes are obviously much more mediated
and complex than a mess of proteins and substrates colliding with one another,
Brownian motion nonetheless sets the foundation for many cellular processes.
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