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Dataset Information

Signatures of selection in fusion transcripts resulting from chromosomal translocations in human cancer.


ABSTRACT:

Background

The recurrence and non-random distribution of translocation breakpoints in human tumors are usually attributed to local sequence features present in the vicinity of the breakpoints. However, it has also been suggested that functional constraints might contribute to delimit the position of translocation breakpoints within the genes involved, but a quantitative analysis of such contribution has been lacking.

Methodology

We have analyzed two well-known signatures of functional selection, such as reading-frame compatibility and non-random combinations of protein domains, on an extensive dataset of fusion proteins resulting from chromosomal translocations in cancer.

Conclusions

Our data provide strong experimental support for the concept that the position of tra

SUBMITTER: Ortiz de Mendibil I 

PROVIDER: S-EPMC2653638 | biostudies-literature | 2009

REPOSITORIES: biostudies-literature