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Science In Silico

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... Mouse? Humans and mice. share many of the. same genes. Mouse ... Why Mouse? Humans and mice. suffer from similar. diseases. The Paradigm Shift in Biology ... – PowerPoint PPT presentation

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Title: Science In Silico


1
Science In Silico
  • Carol J. Bult, Ph.D.
  • Mouse Genome Informatics
  • The Jackson Laboratory
  • August 2002

2
http//www.nature.com/genomics/human/papers/409860
a0_r_2.html
3
Genomes on Parade
From M. Gerstein, Yale University, 2001
4
Genome Sequencing Status 02(completed genomes)
  • 16 Archaea
  • 68 Bacteria
  • 913 Viruses
  • 8 Eukaryotes

http//www.ncbi.nlm.nih.gov/entrez/query.fcgi?dbG
enome
5
Now Available in Draft Form!
The Mouse Genome
http//www.ncbi.nlm.nih.gov http//genome.ucsc.edu
http//www.ensemble.org
6
Genetics is key to human health. The Jackson
Laboratory is key to genetics. http//www.jax.or
g
7
Research Areas
  • Cancer genetics
  • Development and aging
  • Immune system and blood disorders
  • Neurological and sensory disorders
  • Metabolic diseases
  • Bioinformatics and statistical genetics

8
Human
Why Mouse? Human and mouse genomes have
conserved blocks of genetic material
Mouse
Source Lisa Stubbs, Lawrence Livermore National
Lab
9
Why Mouse? Humans and mice share many of
the same genes
Mouse- Human Comparative Map (2 cM around Acrb
gene)
http//www.informatics.jax.org
10
Why Mouse? Humans and mice suffer from
similar diseases
Species Concordance for Susceptibility Alleles
for Hypertension
Hypertension QTL in Mouse Human (B. Paigen G.
Churchill)
11
The Paradigm Shift in Biology
  • The new paradigm, now emerging, is that all the
    genes will be known (in the sense of being
    resident in databases available electronically),
    and that the starting point of a biological
    investigation will be theoretical. An individual
    scientist will begin with a theoretical
    conjecture, only then turning to experiment to
    follow or test that hypothesis.
  • - Walter Gilbert. Toward a paradigm shift in
    biology. Nature, 34999 (1991).

12
http//cagle.slate.msn.com/news/gene/
13
What is Bio-Informatics?
  • The information technologies that bring together
    data, analytical software and methods, and people
    to drive biological discovery

14
Data Integration is the Key to Making Sense of
Sequence
http//www.informatics.jax.org
15
Exploring Biology on the Internet
  • What disease are known to be associated with
    specific genes?
  • Where are the genes in the genome?
  • What are the characteristics of these genes?
  • - i.e., size and structure
  • What are known mutations in these genes?
  • Where is the gene expressed?
  • Do the mutations impact protein structure?
  • Are there equivalent genes in other organism?
  • Are the genes in other organisms associated with
    similar biological or disease processes as in
    humans?
  • Are there gene and protein specific reagents like
    clones and antibodies available to use in
    experimental approaches?

16
Concepts
  • Basic genetics and molecular biology
  • Connections between genes, variation, and disease
  • Protein structure and function
  • Comparative genomics
  • Model organisms can yield insights into human
    biology and disease
  • Orthology and paralogy

17
Not all databases are created equal..
  • Primary Databases (GenBank, EMBL, DDBJ)
  • Original submissions by experimentalists
  • Database staff organize but dont add additional
    information
  • Derivative Databases (NCBI, Model organsim
    databases, etc.)
  • Curated/expert review
  • compilation and correction of data
  • Computationally Derived
  • Combinations
  • Sifted Databases (GeneCards)
  • Compilation of data from different derivative
    databases

18
Todays Focus
  • Given a sequence, gene, or disease of interest
    how do I use existing bioinformatics resources to
    find out the current state of knowledge?

19
Start with a Known Gene or Disease
20
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21
http//www.ncbi.nlm.nih.gov80/entrez/query.fcgi?d
bOMIM
22
p53
23
Information for this Gene in OMIM
Links to Gene Details
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25
Survey of Mutations in this Gene
26
http//archive.uwcm.ac.uk/uwcm/mg/hgmd0.html
27
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28
Link to NCBIs LocusLink
29
Links!!
http//www.ncbi.nlm.nih.gov/LocusLink/index.html
30
Map Details
31
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http//genome.ucsc.edu
33
Links Again!!
Get the sequence of the Gene and corresponding
Protein
34
http//bioinfo.weizmann.ac.il/cards/index.html
35
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Links!!
http//www.ncbi.nlm.nih.gov/LocusLink/index.html
38
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39
Details for the equivalent mouse gene
http//www.informatics.jax.org
40
Start with a Sequence
41
Get a sequence for this gene here
Or here
42
Sequence in FASTA format
Jim Kents BLAST search tool http//genome.ucsc.e
du
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44
http//genome.ucsc.edu
45
OMIM
LocusLink
PubMed
GeneCards
MGI
46
Final Thoughts
  • Biological databases are MUCH more interconnected
    than they used to be
  • Easier to navigate to and from related data
  • But can be confusing same information is
    presented in multiple ways. Easy to get lost in a
    maze of info.
  • Dont assume that because you find information at
    a particular resource that they are the ones that
    produced or curated it!
  • Many information resources (like GeneCards)
    sift data from many databases and re-display it
  • Proper attribution for electronic resources is as
    important as for published information

47
Human Genome Project Informationhttp//www.ornl.g
ov/hgmis/GOOGLE!http//www.google.com
48
http//cagle.slate.msn.com/news/gene/
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