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Locking Horns with Functional Genomics Projects: So far and So forth

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Locking Horns with Functional Genomics Projects: So far and So forth – PowerPoint PPT presentation

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Title: Locking Horns with Functional Genomics Projects: So far and So forth


1
Locking Horns with Functional Genomics Projects
So far and So forth
  • Anil Jegga
  • Pediatric Informatics

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Bioinformatics Projects Under Progress
Trafac PipeLine
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Trafac Re-collection
Comparative Analysis of Homologous Sequences
After gt900 Myrs of divergence essential
functional elements remain conserved! E.g. PAX6
Human Vs Puffer fish (Fugu rubripes)
http//bio.cse.psu.edu/Multipipmaker
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Limitations
Scope
  • Cis-elements that are not conserved across the
    orthologous genes cannot be identified even
    though they occur in regions of sequence
    similarity across the species.
  • Cis-elements that occur in non-aligned genomic
    regions across the two species cannot be
    identified by this approach.
  • A powerful filter that can aid in the
    identification of potential functional
    cis-clusters.
  • Search not limited to just the upstream promoter
    region.
  • The novel cis-element modules may be useable as
    probes for genome wide annotation of additional
    potential regulatory regions.

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46 Matrix families with a frequency of occurrence
of 6
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Fetching Genomic Seq
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  • Trafac PipeLine
  • About 700 genes 3 months ago Now, gt5000!
  • Will be the first of its kind (A genome-wide
    gene-centric approach)
  • A readily available potential resource database
    for unraveling the secrets of co-expression of
    genes.
  • Building up a regulatory module database based on
    expression pattern, functional classification or
    phenotype

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Regulomorph (Regulatory Polymorphisms)
CTNND2 catenin (cadherin-associated protein),
delta 2) 1225 AA, 4746 bp mRNA
Genomic Sequence gt1 million bp 1st Intron gt192
kb!!
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Visualization of nsSNPs on Protein Domains
Structures
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  • Variant at 280 (Arg lt-gt His) was associated with
    a slightly increased prostate cancer risk
  • Haplotype A (194Trp, 280Arg, and 399Arg) was
    associated with significant reduction in gastric
    cancer risk whereas haplotype D (194Arg, 280Arg,
    and 399Arg alleles) was a risk type for gastric
    cancer (adjusted OR1.57, 95 CI0.93-2.65).

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Mapping Non-Synonomous SNPs onto Conserved
Protein Domains
OGG1 8-oxoguanine DNA glycosylase
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GO Term Cell Cycle Checkpoint (GO0000075) (18
Genes Hs)
  • Keyword List
  • Interact(s)
  • Inhibit(s)
  • Phosphorylate(s)..

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730 Records
307 Records
Text Processing Tool
  • OmniViz
  • ExPASy Tools
  • AcroMed
  • AbXtract
  • MedMiner
  • Protein Annotators Assistant
  • XplorMed
  • Filter Publications
  • Parse Publication
  • Parse Content
  • Extract Relationships
  • Store Relationships

Interactions/Relations
PathMaker
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PathMaker Palette
Nodes
Activity (Pathway Step Arc)
Active Entitites
CV Term
ATM
PLK3
Gene Ontology Sequence Ontology Variation/SNPs Dis
ease Ontology Pathology Pharmacology Anatomy Devel
opment Expressionetc.
TP53
CHEK2
CDKN1A
CDK2
CDC25C
CDC2
User Selected and/or Added to
PathMaker Canvas
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PathMaker
  • Views
  • Show all Pathways in the db or Pathways by Source
    (KEGG, Biocarta, etc)
  • Pathways by classification (regulatory/metabolic)
  • Pathways by phenotype, by User Group, by Organism
  • User Edited Pathways
  • Queries
  • Give me a list of all genes (with annotations)
    participating in this pathway. Annotations
    include
  • Gene Symbol, Gene description, List of
    Ontologies, List of other pathways the gene is
    involved in, List of SNPs, List of diseases
    associated with this pathway.
  • Given a gene, show all the pathways in the
    database it is involved in
  • Given a phenotype (disease), show all the
    associated pathways
  • Given an ontology term, show the corresponding
    pathways
  • Search by any term (any of the cv or related term)

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Whats Next?
  • Addition of more groups of genes to the database
    A Continuous process (From 5000 to 40000)
  • Database of cis-acting regulatory modules
    (Cis-Mols) Based on
  • Gene Expression Pattern
  • Tissue Specificity
  • Gene Ontology Functionalities
  • Multiple Comparison of Genomic DNA Sequences
  • Regulomorphs (Regulatory SNPs)

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The Team
Acknowledgements
Anil Jegga Ashima Gupta Sivakumar
Gowrisankar Jing Chen Sheshukalyan Andra Bhuvana
Sakthivel Sue Kong Jim Carman Bruce Aronow
NIEHS U01 ES11038 CMGCC
Howard Hughes Medical Institute
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