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A Typical Eukaryotic PremRNA Structure:

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C is a q x x matrix with the entry clj representing the concentration of feature l in sample j ... the two variants mixed and the total Concentration held at 64 pM. ... – PowerPoint PPT presentation

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Title: A Typical Eukaryotic PremRNA Structure:


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A Typical Eukaryotic Pre-mRNA Structure
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What is alternative splicing?
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pre-mRNA of fibronectin
Exon 2
Exon 3
Exon 4
Exon 5
Intron 1
Intron 2
Exon 1
Alternative splicing
Exon 3
Exon 5
Exon 1
Mature mRNA in Firoblast cell
Mature mRNA in Hepatocyte cell
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  • A few facts about alternative splicing in human
    genome
  • Many alternatively spliced mRNAs may be expressed
  • simultaneously in the same tissue.
  • 30-60 of genes undergo alternative splicing.
  • But the presence of multiple alternatively
    spliced mRNA
  • forms is not addressed in microarray design and
    analysis.

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Known Gene Structure information 21 well
characterized genes
Design a special chip of splicing variants
Statistical Modeling for assessing the amounts
of Splicing variants
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Idea
Concentration of features containing the probes
Intensities of Specially designed probes
Amounts of the Individual splicing variants
Features are exons or exon-exon junctions Gene
Structure specifies the features of each
alternative Splicing variant (or form).
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Design of probes
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Statistical Modeling
Splicing variants
Features
Mapped to
Probe
Mapped to
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Relationship between features and splicing
variants (or forms, transcripts)
G is q x t matrix rows q features
columns t splicing variants
entry glk is 1 or 0 1 means presence of l
feature in k variant (or transcript)
0 means absence of l feature in k
variant (or transcript)
Relationship between splicing variants (or forms,
transcripts) and samples (or experiments)
T is t x x matrix rows t splicing variants
columns x samples entry tkj is
the concentration of variant k in sample j
variant
samples
features
variant
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C is a q x x matrix with the entry clj
representing the concentration of feature l in
sample j
samples
features
Next, Capture the relationship between the probes
and features with Matrix F
F (fil) is a p x q matrix with values 0 or
1. fil 1 if probe pair i belongs to feature
l 0 otherwise
features
Probe pairs
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In matrix X, the entry xij represents the actual
concentration of all the target variants (or
transcripts) in sample j interrogated by probe
pair i
samples
Probe pairs
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Question how to relate X to the matrix Y of
observed probe pair intensity differences
(PM-MM)?
samples
Probe pairs
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Affinity matrix A for probe pairs, like that in
Li and Wongs model
A (aii) is a p x p diagonal matrix where aii
represents the affinity term of probe pair i.
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With random error
Obtain the model estimates for A and T by least
square A affinity terms for probe pairs T
The amounts of splicing variants in samples
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  • Model validation with experiment
  • Dilution experiments to test the accuracy and
  • sensitivity.
  • Two-variant spike experiments
  • genes like CD44 have two splice variants
  • Three sets
  • Set 1 first variant ranges from 0 to 64 pM
  • second variant ranges from 64 to 0 pM
  • the two variants mixed and the total
    Concentration held at 64 pM.
  • Set 2 set 1 diluted 4 times, and the total
    concentration reached 16 pM
  • Set 3 Set 1 diluted 16 times, and the total
    concentration reached 16 pM

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Three-variant spike experiments A third CD44
variant added Designed to test all possible
combinations of clones at 0 and 4 pM
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Tissue experiments with TPM2 gene Two variants
TPM2-A, containing exon A, mainly present in
skeletal muscle TPM2-B, containing exon B,
in esophagus, stomach, uterus, etc TagMan
experiment is done for validation.
Microarray experiment
TaqMan Experiment
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