Jonathan Nowacki School of Informatics Master of Science in Bioinformatics Sun Kim Ph'D' Mimi Zolan - PowerPoint PPT Presentation

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Jonathan Nowacki School of Informatics Master of Science in Bioinformatics Sun Kim Ph'D' Mimi Zolan

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Title: Jonathan Nowacki School of Informatics Master of Science in Bioinformatics Sun Kim Ph'D' Mimi Zolan


1
Jonathan NowackiSchool of Informatics Master of
Science in BioinformaticsSun Kim Ph.D. Mimi
Zolan Ph.D.
Discovery and Visualization of Germline Genes in
a Mushroom with Synchronous Cellular Division
2
Outline
  • Background Goals
  • The Mushroom
  • Microsatellites
  • Exon Prediction
  • Microarray
  • Gbrowse
  • Summary
  • Acknowledgments

Outline
3
Cellular Division
  • Importance
  • Aging
  • Cancer
  • Disease
  • Stem cell research
  • Reproduction

Outline
Background
4
Goals
  • Partial Genome
  • Use Microsatellite data to find a region of
    importance
  • Predict Exons using FGENE
  • Whole Genome
  • Use Microarray data to find a genes that are
    up-regulated in germ line cells.
  • Visualization
  • Gbrowse

Outline
Background
5
Background on progress
  • Whats been done
  • Rad3/Rad9 Mre11
  • MIT Whitehead Institute
  • Southeast Missouri
  • Problems
  • Coprinus isnt mapped
  • Converging data
  • NBS1

Outline
Background
6
Why Coprinus?
Outline
Background
  • Its not a mammal
  • Short life cycle
  • Synchronous division
  • Easy to maintain

7
Partial Genome
  • Wet lab
  • Locate an area of interest
  • Focus on NBS1
  • DNA repair
  • Expressed during meiosis
  • Exon Prediction
  • FGENE

Outline
Background
8
Microsatellite Search
  • Purpose
  • Locate genes with known phenotype but unknown
    sequence.
  • Locate area of interest.
  • Tools
  • GCG, Findpatterns
  • 119 microsatellites were used

Outline
Background
Microsatellites
9
What is a microsatellite?
  • AAAAA
  • CACACA
  • CTTCTTCTT

Outline
Background
Microsatellites
10
Utility of Microsatellites
  • 8C11

Outline
Background
Microsatellites
Microsatellites
Microsatellites
11
Recombination
Outline
Background
Microsatellites
12
Finding Microsatellites
GCG Find patterns
Outline
Background
Microsatellites
13
Electrophoresis
Outline
Background
Microsatellites
14
Electrophoresis
Outline
Background
Microsatellites
15
Finer resolution
  • Micro satellites are small
  • Agarose wasnt good enoug
  • High grade Fufi agarose wasnt good enough
  • Moved to polyacrylamide

Outline
Background
Microsatellites
16
Finest resolution
Outline
Background
Microsatellites
17
Mapping
Outline
Background
Microsatellites
18
Microsatellite Results
  • Microsatellites were found
  • Polymorphism was low, for a variety of reasons,
    but a few usable markers were found
  • Wasnt the most effective method

Outline
Background
Microsatellites
19
Exon Prediction
  • Used to find and predict genes
  • FGENE
  • Hidden Markov models
  • Compared to known genes
  • Exons blasted vs. NCBI NR

Outline
Background
Microsatellites
20
FGENE highlights
  • Phanerochaete chrysosporium
  • 220 exons predicted
  • Cryptococcus neoformans
  • 216 exons predicted
  • Ustilago
  • 234 exons predicted

Outline
Background
Microsatellites
21
Exons
Outline
Background
Microsatellites
22
Blast
  • 6 frame translation
  • ATGCTCGGGACTGATCGA
  • ATGCTCGGGACTGATCGA
  • ATGCTCGGGACTGATCGA
  • TCGATCAGTCCCGAGCAT

Outline
Background
Microsatellites
23
Phase 2 Whole Genome
  • Microarray
  • Map genes active in meiosis
  • Visualization
  • Gbrowse

Outline
Background
Microsatellites
24
Microarray
Outline
Background
Microsatellites
Microarray
25
Microarray
Outline
Background
Microsatellites
Microarray
26
Germ line
Outline
Background
Microsatellites
Microarray
27
Results
  • Drosophila
  • 254 / 781
  • 633 / 2340
  • Worm
  • 553 / 2496
  • Testis Fly
  • pending

Outline
Background
Microsatellites
Microarray
28
Visualizing the Genome
  • Data
  • Microarray
  • Microsatellite
  • Exon
  • Needs
  • Easy analysis of genetic data
  • Doesnt require computer science background
  • Web based for portability.

Outline
Background
Microsatellites
Microarray
Gbrowse
29
Gbrowse
Outline
Background
Microsatellites
Microarray
Gbrowse
30
Default Values
Outline
Background
Microsatellites
Microarray
Gbrowse
31
Solution A Dynamic database
Outline
Background
Microsatellites
Microarray
Gbrowse
32
More Specificity
Outline
Background
Microsatellites
Microarray
Gbrowse
33
Highly Specific
Outline
Background
Microsatellites
Microarray
Gbrowse
34
Summary
  • Coprinus is ideal for studying cellular division
  • Microsatellite data for mapping
  • Microarray data for gene function
  • Gbrowse visualization
  • Dynamic Database

Outline
Background
Microsatellites
Microarray
Gbrowse
Summary
35
Conclusion
  • Gbrowse
  • Microarray comparisons
  • Exon Prediction
  • Microsatellites

Outline
Background
Microsatellites
Microarray
Gbrowse
Summary
36
Acknowledgments
  • Dr. Sun Kim
  • Dr. Mimi Zolan
  • Dr. Haixu Tang
  • Dr. John Colbourne
  • Henry Paik
  • Danny Rice

Outline
Background
Microsatellites
Microarray
Gbrowse
Summary
Acknowledgments
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