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The RNA splicing module we identified contains several genes that are individually strongly associated with survival.
If some exons share the same splicing code, they may form a splicing module: a unit in the splicing regulatory network.
We propose that by identifying splicing module, a unit in the splicing regulatory network can serve as an important step to decipher the splicing code.
In this paper, we define a splicing module as a set of exons that are regulated by the same splicing factors.
The Cd8aCD4 allele was generated using a targeting construct (Supplementary Figure S1), consisting of a CD4 cDNA downstream of a CD4 intronic splicing module (Sawada et al, 1994) and electroporated into murine 129 R1 ES cells.
The exons in a splicing module can belong to different genes, but they exhibit correlated splicing patterns (in terms of being included or excluded in their respective transcripts) across different conditions, thus form an exon co-splicing cluster.
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We have designed a tensor-based approach to identify co-splicing clusters that appear frequently across multiple conditions, thus very likely to represent splicing modules - a unit in the splicing regulatory network.
Other bottom-up signatures are the "Embryonic Stem cells (ES) signature" [12], the proliferation, immune response and RNA splicing modules signature [13] (henceforth abbreviated as "Module signature") the "invasiveness gene signature" (IGS) [14] and the chromosomal instability signature (CIN) [15].
A similar principle applies to splicing modules.
We demonstrated that the identified clusters represent meaningful biological modules, i.e. functional modules, splicing modules, transcriptional modules, and protein complexes, by validating against four biological knowledge databases.
This classifier was based on the Immune and RNA splicing modules (see Additional data files 5 and 6).
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