The Consortium is a collaborative research enterprise comprised of several leading academic institutions and based on a long-term relationship between the Pritzker family and scientists at the various institutions. The Pritzker Family first established the Pritzker Depression Network (1996) that included Stanford University, the University of Michigan (UM) and The Weill Medical College of Cornell University (Cornell) and was established to study the neurobiological basis of depression. The Consortium was then established (2000) and aims to discover the neurobiological and genetic underpinnings of mood disorders and schizophrenia and to ensure applications of these discoveries are utilized commercially to the fullest extent possible. Groups at UC Davis (UCD), UC Irvine (UCI), Stanford University, UM and Cornell conduct studies on human post-mortem tissue, isolated populations and various animal models to identify altered profiles of gene expression in brain circuits associated with the disorders. |
Goal
• To discover the neurobiological
and genetic causes of severe psychiatric
disorders
Major Depression Manic
Depressive Illness or Bipolar Disorder
Schizophrenia
• To identify novel targets for their
treatment |
Brain
Bank
One of the Consortium's primary strengths
is its “brain bank.” Created
and maintained through a partnership between
UCD and UCI, the brain bank consists of
high quality post-mortem brain tissue
taken from patients and individually matched
controls. A thorough acquisition process,
including an investigation of all relevant
clinical data, ensures each tissue sample
is properly assessed and utilized. Once
a sample has been characterized, Consortium
scientists employ a special selection
methodology to ensure the post-mortem
tissue yields high-quality RNA samples
for microarray analysis. Dr. William Bunney
at UCI has taken the lead in collecting
brains, while Dr. Edward Jones has developed
storage methods and is an expert neuro-anatomist.
|
Microarray
Studies
Following dissection of the specific brain
regions and subregions, microarray technology
and other quantitative tools for analyzing
mRNA expression are applied to find sets
of genes that are consistently differentially
expressed between normal and diseased
brains. Microarrays, or gene chips, allow
scientists to measure the activity of
thousands of genes at the same time. These
experiments are done in duplicate by scientists
at UM, UCI and UCD to provide replication/validation
of results.
The Consortium collaborates with Dr. Terry
Speed, a biostatistician renowned in the
field of microarray analysis, to determine
the most appropriate means of analyzing
results of the microarray studies.
Dr. Jack Barchas at The Weill Medical College of Cornell University study allele-specific expression (ASE) of genes in human brain tissue. ASE studies identify differences in the level of expression of genes from each of the two parental chromosomes. When differences are seen one of the two chromosomes must contain a regulatory polymorphism that causes the differential expression. These studies interact with other components of the Pritzker consortium to identify genetic risk factors for Psychiatric disorders. |
Gene
Anatomy and Ontology
Drs. Huda Akil and Stanley Watson at UM
study the relationship between genes,
behavior and the brain. Drs. Akil and
Watson aim to elucidate and validate the
function(s) of genes that demonstrate
significant differences in expression
or structure and to determine their distribution
in pathways, circuits and target systems.
Several tools are used in these studies.
In situ hybridization (ISH) histochemistry
is performed at UM and UCD to determine
the anatomical and cellular distribution
of discovered genes. Selected genes are
further characterized by determining the
structure and function of translated proteins
and their regional and cellular distribution.
Finally, laboratory experiments using
genetically modified animals and cell
cultures are conducted at UM, UCD and
Stanford to elucidate the role of certain
genes in specific brain circuits involved
in psychotic and affective processes. |
Novel
Gene Detection Technologies
Dr. Richard Myers leads the discovery
and validation process at Stanford, where
novel gene detection technologies-notably
real-time PCR and Serial Analysis of Gene
Expression (SAGE)- are used to complement
or improve upon microarray results, which
can be hampered by poor sensitivity. |
Animal
Studies
Dr. Alan Schatzberg at Stanford and Dr.
Jones study gene expression related to
antidepressants and glucocorticoids in
non-human primates. Similar experiments
in rats at UM and Stanford allow the interspecies
comparison of drug effects and may help
achieve a better understanding of antidepressants'
mechanism of action. |
Clinical Research
Candidate genes will be further studied in living patients and in families with a history of mental illness. Geneticists at UCI and at UM lead those studies in human families with a high rate of mental illness. Cornell, UM and Stanford will also be involved in the recruitment and clinical/phenotypic characterization of patient and control subjects, for genetic studies, and for related studies to develop endophenotypes. |
Informatics
The Consortium developed a complex informatics
system to handle the vast amount of data
obtained through analyzing a large number
of brain regions and neural cell types.
The information management and analysis
effort is lead by UM. The system allows
improved accuracy of information and deeper
analysis as well as real-time sharing
of data and analysis results between sites.
Results are stored in a secured server
and are accessible to all Consortium scientists. |
Findings
Sets of genes (some novel, some previously
reported) differentially expressed between
control subjects and patients suffering
from mood disorders or schizophrenia have
been discovered in several brain regions.
Results are classified according to criteria
such as directionality of the changes,
pathways, Gene Ontology (GO) terms and
drugable targets. Microarray technology
was used for initial discovery, but the
genes have been validated using RT-PCR,
SAGE and/or ISH. Ongoing studies aim to
identify the structure and function of
particular genes and their products. |