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Nova regulates brainspecific splicing to shape the synapse

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... Site and 3' Splice Site; ESE (Exonic Splicing Enhancer) and ESS (Exonic Splicing Silencer); ISE (Intronic Splicing Enhancer) and ISS (Intronic Splicing Silencer) ... – PowerPoint PPT presentation

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Title: Nova regulates brainspecific splicing to shape the synapse


1
Nova regulates brain-specific splicing to
shapethe synapse
  • VOLUME 37 NUMBER 8 AUGUST 2005 NATURE
    GENETICS
  • ???
  • 2006.10

2
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3
introduce
  • cis elements (sequences)
  • 5 Splice Site and 3 Splice Site
  • ESE (Exonic Splicing Enhancer) and ESS (Exonic
    Splicing Silencer)
  • ISE (Intronic Splicing Enhancer) and ISS
    (Intronic Splicing Silencer).
  • Many sequences function is distinct in different
    gene and different position.

4
introduce
  • trans elements
  • U1,U2
  • Other splicing regulate elements (proteins even
    RNA). SR proteins, hnRNPA1, fox1 nova, etc.

5
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6
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7
summary
  • they carried out genome-wide quantitative
    analysis of alternative splicing using a custom
    Affymetrix microarray to assess the role of the
    neuronal splicing factor Nova in the brain.

8
summary
  • they used a stringent algorithm to identify 591
    exons that were differentially spliced in the
    brain relative to immune tissues, and 6.6 of
    these showed major splicing defects in the
    neocortex of Nova2-/- mice. they tested 49 exons
    with the largest predicted Nova-dependent
    splicing changes and validated all 49 by RT-PCR.

9
summary
  • They analyzed the encoded proteins and found that
    all those with defined brain functions acted in
    the synapse (34 of 40, including neurotransmitter
    receptors, cation channels, adhesion and scaffold
    proteins) or in axon guidance (8 of 40).
    Moreover, of the 35 proteins with known
    interaction partners, 74 (26) interact with each
    other. Validating a large set of Nova RNA targets
    has led us to identify a multi-tiered network in
    which Nova regulates the exon content of RNAs
    encoding proteins that interact in the synapse.

10
significance
  • No study has undertaken a genome-wide analysis to
    address statistically the functional coherence of
    genes coregulated at the level of alternative
    splicing.

11
Nova1 and nova2
  • neuron-specific KH-type RNA binding proteins.
  • Nova-RNA structural studies Nova knockout mice,
    RNA cross-linking and immunoprecipitation (CLIP)
    and biochemical analysis suggested that Nova
    might preferentially target RNAs encoding
    proteins with roles in neuronal inhibition.

12
Back ground
  • To address this hypothesis systematically, they
    undertook a genome-wide screen to identify and
    validate Nova-dependent alternatively spliced
    transcripts in brain.

13
analyse array data
The algorithm to calculate the change in fraction
of exon inclusion (?I) is based on the decrease
in probe set 12-12a and increase in probe set
12-13 normalized signals between the two
compared samples
14
Array analysis
  • Data were quantified as the change in the
    fraction of exon inclusion (?I), where a ?I value
    of 0.5 indicates a 50 increase and a ?I value of
    0.5 indicates a 50 decrease in exon inclusion in
    the first of the two compared samples.
  • They identified 4,776 different spliced exons
    from 3,008 genes.

15
Nova2 is not expressed in thymus(??), and nova1
is not expressed in neocortex(???) . Therefore,
the ?I wont be too large.
16
Comparison of spinal cord(??) VS thymus (??) and
cmparison of midbrain(??) VS thymus. They have
identified 1,239 changes with ?Igt0.2 that were
common to both spinal cordthymus and
midbrain-thymus comparisons. When they expanded
this analysis to compare splicing in all brain
regions with splicing in either thymus or
spleen, we found that 12 (591 of 4,776) of
exons showed the same differential splicing
pattern in all comparisons (?Igt 0.2.
17
They found 53 exons with ?I gt0.20 in both
samples (Fig. 2c). Moreover, all 41 exons with?I
gt0.24 in one triplicate correlated (R2 0.94)
with predicted changes in the second triplicate.
18
These splicing changes did not follow a normal
distribution but affected a specific subset of
alternative exons(blue line). kgt3 represents a
distribution with significant outliers.
19
RT-PCR validate
20
RT-PCR results for 49 exons confirmed the
direction and magnitude of splicing change
predicted by the microarray, In conclusion, all
the exons with large predicted change (?I gt0.2)
and 95 of the exons with no predicted change
(?Ilt0.1) could be validated by RT-PCR.
21
A table of all the 49 exons
22
RT-PCR validate
  • Of the 49 Nova2-regulated transcripts validated
    in this study, 31 are expressed both in brain and
    in immune tissues.
  • 97 (30/31) have the same splicing pattern in
    Nova2-/- neocortex as in immune tissues,
    suggesting that Nova2 promotes brain-specific
    splicing.

23
analysis
  • Of the 49 exons validated splicing changed, 33
    also had predicted splicing changes in all other
    Nova2-/- brain regions, 7 also had predicted
    splicing change in wild-type versus Nova1
    knockout brain tissue, 5 transcripts identified
    with Nova-dependent differential splicing in the
    cortex and spinal cord.

24
Nova regulates splicing of RNAs encoding synaptic
functions
  • program GoMiner were used to analyse the function
    of Nova-regulated transcripts.
  • gene functions associated with Nova-regulated
    (n48) exons were compared with the complete set
    of microarray alternative exons from genes
    expressed in brain (n2710).

25
  • Functions with the most significant enrichment
    among Nova-regulated transcripts were proteins
    act at the cell membrane, most often at the
    cell-cell junctions, suggesting they may all act
    in the synapse(??).

26
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27
The genes with potential synaptic functions
28
The synaptic module of 41 proteins encoded by
validated Novaregulated RNAs. The proteins
encoded by validated RNAs identified by the
microarray are shown in orange, and those
validated in previous studies8,9 are shown in
yellow. Proteins encoded by RNAs identified by
multiple Nova CLIP tags9 are shown in blue, and
other proteins in the same networks that are not
known to be regulated by Nova are shown in
white. Red arrows denote positive regulatory
interactions, and blue bars denote negative
regulatory interactions. All proteins shown are
not necessarily present in a single synapse
(symbolized by interruptions in the membranes).
29
finally
  • they identified a new gene regulatory module
    consisting of transcripts coregulated at the
    level of alternative splicing. Nova-regulated
    transcripts encode proteins that form an
    interaction module in the synapse.

30
My feeling
  • The array is just a beginning, much more
    bioinformatics and other works have to do to
    validate and analysis the array data.

31
Thank you!!!
  • ???
  • 2006.10
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