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I'm glad that you've
appreciated that this is subtle stuff.
The real reason I am getting interested in this is because recently I
have started talking with some biologists about statistical problems in
these areas. I have recently started attending a seminar held on
Tuesday mornings in Tucker Hall, that is led by George Smith.
He developed a technique of trying to recognise "receptors" in
cells/antibodies/whatever by putting short sequences of protein
(ligands/peptides) onto the ends of thin little viruses (called phage 3)
and exposing them to the substance with the receptors, and seeing which
ones stick. (They send the ones that stick to a lab where they get
sequenced.)
The way he creates these short sequences of peptides on virus's is by
splicing short sequences of randomly created DNA into the DNA sequence
of this phage, and then putting this DNA into E. coli (the bacteria(?)
commonly found in our stomachs), where they do what a virus does, and
replicate themselves from the E. coli.
The seminars are fascinating. A recent one was where they use these
peptides to detect tumors. There is some peptide they have discovered
using this technique that attaches to certain types of tumor. They put
these peptides into a "designer protein" that also includes a
radioactive isotope. They squirt this into mice, and then look for
where the radioactivity comes from. But it is all rather tricky,
because most of this radioactive stuff ends up in the kidneys and that
kind of place. But there is a faint glow in other parts of the body
where the tumor is. (They have to have these mice on the radioactivity
detection machines for several hours because the signal is so weak.)
Another seminar was about where they had looked at peptides that stuck
to antibodies of people who had limes disease. Limes disease is
apparantly a very difficult disease to diagnose, in part because there
is another tick carried disease in Missouri that has exactly the same
symptoms. Anyway, this professor looked at the peptides that had stuck,
and looked at the common "motifs" in a database of well known proteins
to see what he could find. Interestingly enough, one of the motifs
looked like it was for strep-throat. Apparently what he had found was a
correlation between people with limes disease (or rather, people
diagnosed with limes disease) and people with strep-throat. But he did
find some other motifs that did look like real limes disease (these are
called epitopes, I think).
After this seminar, it made me wonder just how doctors can ever reliably
diagnose any disease. Does anyone know how the rapid-strep test works?
Is it very reliable (like 99.9%) or just moderately reliable (like 85%)?
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