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Romain Rivière AReNa – 28.03.2007.  Characterise RNA families  Improve non-coding RNA identification in genomic data  Determine the RNA players in.

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Presentation on theme: "Romain Rivière AReNa – 28.03.2007.  Characterise RNA families  Improve non-coding RNA identification in genomic data  Determine the RNA players in."— Presentation transcript:

1 Romain Rivière AReNa – 28.03.2007

2  Characterise RNA families  Improve non-coding RNA identification in genomic data  Determine the RNA players in regulatory networks  Identify potential RNA drug targets

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5 Yeast tRNA-Phe crystal structure (pdb 4TNA)

6 1. Enumerate all the motifs 2. Regroup by similarity 3. Find the building blocks

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8 A motif is a set of connected nucleotides together with their interactions

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11 1. Enumerate all the motifs 2. Regroup by similarity 3. Find the building blocks

12 12 54 3 0 1 0 0 1 1 0 1 1 0 0 1 0 1 0 0 1 1 0 1 1 0 0 1 0 12 54 3 0 1 0 1 1 1 0 1 1 0 0 1 0 0 1 1 1 0 0 0 1 0 1 0 0 24 13 5 0 1 0 0 1 1 0 1 1 0 0 1 0 1 0 0 1 1 0 1 1 0 0 1 0 Matrix representation of the graph : 2 1 ≠ = = Scan through all permutations to decide if two graphs are isomorphic !

13 ? ? ? ? ? ? ? ?

14 12 54 3 0 1 0 0 1 1 0 1 1 0 0 1 0 1 0 0 1 1 0 1 1 0 0 1 0 12 54 3 0 1 0 1 1 1 0 1 1 0 0 1 0 0 1 1 1 0 0 0 1 0 1 0 0 24 13 5 0 1 0 0 1 1 0 1 1 0 0 1 0 1 0 0 1 1 0 1 1 0 0 1 0 Matrix representation of the graph : 2 1 ≠ = = Take the minimum through all permutations of the matrix representation

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16 1. Enumerate all the motifs 2. Regroup by similarity 3. Find the building blocks

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18 Type of motifsEdges … … 7 7 7 10 5 6 4 4 30 Find a small set of types of motifs that covers the most edges

19 … General graphs are not compact enough Not usable for modelling

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24  Motif discovery Biological relevance of block-function relationships?  RNA folding Practical usability?

25 François Major Sébastien Lemieux Véronique Lisi Karine St-Onge Philippe Thibault Patrick Gendron Martin Larose All other lab members

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27  We applied the method to the large ribosomal subunit  We restrict the graphs allowed for the base to cycles  We found 334 cycles that covers 90% of the structure.

28  Canonical label of a graph : Take the minimum of the matrices over all the permutations  Property : 2 graphs have the same canonical label if and only if they are isomorphic

29  Group together motifs which are identical  Done with canonical labelling Idea : associate a string to each graph such that two graphs are associated with the same string if and only if they are identical (isomorphic). Difficult problem well studied Potentially highly computation time.

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31  3^n. 10^n where n is the size of the structure  10^14 op/s world fastest computer

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37  RNA is a very important medium in the transfer of genetic information  Convey information through its structure in addition to its sequence  Example : miRNA

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39 Similar secondary structure But, only one miRNA functional !

40  3 main types of molecular interactions : Phosphodiester link Base pairing Base stacking

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