COMPUTATIONAL BIOLOGY:
Microarrays
Prove Reliable in Cross-platform Tests
Several new papers have revived prospects for the large gene-profiling studies
that seek better ways of diagnosing and treating disease. At first, the ability
of microarray gene chips to capture genomewide snapshots of healthy and diseased
tissue showed unprecedented potential. But then many studies registered contradictory
results or worse, casting doubt on the validity of the gathering data. Now
research by John Quackenbush and colleagues in the May Nature Methods demonstrates
that microarray studies can be reliable and meaningful if strict standards
for using the chips are followed.
IMMUNOLOGY: T Cell Misfits
May Spell Autoimmunity
A study by Kai Wucherpfennig (on left) and his colleagues in the April 10 Nature
Immunology suggests T cells that react against the body may escape capture and
elimination by altering the way their receptors interact with target proteins.
The change disguises the autoreactive T cells’ presence to the body’s
natural surveillance system in the thymus. The consequence of this shift may
be autoimmune diseases like multiple sclerosis. Co-authors on the paper also
included (clockwise from back) Jason Pyrdol, Michael Hahn, and Melissa Nicholson.
PATHOLOGY:
Prostate
Tumor Chemistry
Reveals Early Disease
Prostate cancer defies easy definitions—lethal for some, but benign for
others. Scientists would like to find a better way of identifying the tumors
most likely to cause disease. A study led by Leo Cheng suggests that tumors could
be more accurately profiled by their chemistry. In the April 15 Cancer Research, Cheng’s
team used magnetic resonance spectroscopy to profile all the metabolites in samples
of human prostate cancer. The method sorted out cancerous from benign
tissue with 98 percent accuracy and indicated tumor size and aggressiveness,
even when samples came from benign tissue elsewhere in the prostate.
Copyright 2005
by the President and Fellows of Harvard College