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Genomic, mRNA and Array Probes and Tools

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Title: Genomic, mRNA and Array Probes and Tools


1
Genomic, mRNA and Array Probes and Tools
2
Human Genome Project and Competitors
  • Human genome project --NIH, etc
  • Full sequence by 2003-2005
  • Including genes and other Genomics regions
  • Incyte
  • 140,000 genes, in process, IP problems
  • Celera
  • Interesting approach-- overlapping clones
  • IP problems
  • July, 00?

3
Expressed Sequence Tag
AAAAAAA
3 UT
5 UT
TTTTTTTT
EST
4
Hybridization
A C A T T G C G
T G T A A C G C
5
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6
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7
Selecting Genes to Pursue
  • Consistent Responsiveness of the Gene to the
    Illness across Subjects.
  • Pattern of Responsiveness of the Gene across
    Brain Regions.
  • Type of Protein which is Encoded by the Gene.
  • Presence of an Understandable Profile of Altered
    Regulation as Part of an Ensemble.
  • Additional Considerations
  • Existence of Allelic Variants
  • Modulation by Antidepressants in Animals
  • Selective Effects in Specific Types of Depression

8
Gene Array Analysis form Hypothalamus of
Antidepressant Treated Rats
Gene A
Gene B
Gene C
Gene D
Gene E
Gene F
Gene G
Saline
Saline
Bupropion
Fluoxetine
9
GAPIII mRNA In Situ Hybridization
Gene Array GAP III
saline
165

fluoxetine
10
Overview of µMArray System
  • Research Genetics Sequenced Verified Clones- Rat,
    Mouse and Human-Funded by the U of Michigan
  • One EST per Unigene Cluster-- an interesting and
    moving target--Number of Genes, Cost, Variable
    Arrays...
  • Mother Node is MHRI and Psychiatry
  • STS Human Probes from Stanford Human Genome
    Center
  • Co-Directed by Thompson and Meng

11
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13
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14
Overview of µMArray System
Research Investigators
cDNA clones from RG
Data entry, retrieval and analysis via Web
interface
Clone Management
Clone Replication
MARRAY Database (Oracle 8i)
Image Processing Software
Data Uploading
PCR products
Retrieve Raw Images
ARRAY
Glass Slides
Array Hybridization
Raw image files
Cye3/Cye5-labeled cDNA Probes
mRNA from candidate tissues
Note Process FlowData Flow
15
Bioinformatics and Special Chips
  • Need ANY Help We Can Get
  • U of M is Looking into Deals with Affymetrix,
    Celera and Incyte. Huda and I are the Hosts/Lead.
  • Use all Public Data Sources
  • Plan Studies of Circuits and Systems to See How
    They Actually Function
  • Stanford Guidance
  • Debbie Yu and Bay City Capital-Technical Advise

16
Aim II Genetic Studies
  • Studies of Candidate Genes in Families and
    Population Isolates.

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18
David Cox is Head of the Stanford Genome Center.
19
Affymetrix Chips
  • mRNA Expression
  • Sequencing By Hybridization
  • Drug Metabolism Data

20
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21
Aim III Neurobiological Studies
  • Rodent Studies
  • Anatomical Mapping and Relation to Other Relevant
    Molecules
  • Structure/Function Analysis of Protein Products.
  • Regulatory Studies in Vivo
  • Genetic Studies Using Transgenics, Knockouts and
    Induceable Systems.
  • Primate Studies

22
Basic Neuroscience Models
  • Richest dataset we havemany decades of
    cumulative experience
  • Rodent behavioral, anatomical-circuit, molecular
    and pharmacological studies
  • Primate- excellent tool for studying human
    fundamentals
  • Stanford colony- superb behavioral and genetic
    colony-for all classes of studies
  • Michigan/NIH Alcohol Institute- postmortem study
    of selected primate brain

23
Technical Update and Changes
  • Invader Assay (Stanford, Cox) very sensitive
    and specific. Added this year to the tools we
    plan to use following Arrays
  • Shifted Arrays to the U of M Array Lab.
  • Internally readjusted work load and finances No
    change in global budget
  • This process of technology evaluation will be an
    annual feature of our scientific and budget
    process

24
Consortium Agreement and IP Issues
  • Nothing is signed, awaiting a common document.
  • Scope of Work for all 5 years and 4 sites and a
    firm Year 1 budget for each site has been
    prepared.
  • U of M has completed its edits and has verbally
    agreed.
  • Stanford seems to be in process.
  • UC system has many issues. Tom Barton and the U
    of M office are working with the UC staff to
    explain it.

25
Relationships Between the Consortium and the
Network
  • Overlap between the two sets of scientists, with
    additional scientific skills available from each
    system.
  • Report of the Consortiums progress to the
    Network at the spring meeting.
  • Sees the two systems as part of the same
    Foundation structure.
  • Natural and preferred collaborators.
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