Abstract
A novel computational approach is presented and applied to predicting trans-splicing sites in 2 chromosomes of Leishmania major.
Highlights
RNA splicing is a key process in the transformation of genomic instructions into functional proteins and may play a critical role in regulating gene expression in a variety of eukaryotes
The canonical trans-splicing signal is believed to be composed of four elements: the branch-point adenine (A), a polypyrimidine (C, T-rich) tract, a short variable spacer region, and a downstream 3' splice acceptor site (AG) [9,14]
When we wish to refer to the transsplicing splice site, we will use the term splice junction
Summary
RNA splicing is a key process in the transformation of genomic instructions into functional proteins and may play a critical role in regulating gene expression in a variety of eukaryotes. Many eukaryotes use cis-splicing, the process of removing introns from precursor RNAs, to generate mature mRNAs. A related and less understood process, trans-splicing, appears most commonly in a family of protozoa known as the Kinetoplastida, recent evidence suggests it might be quite widespread as well [1]. While much effort has been focused on identifying the sites of cis-splicing [2,3,4], a rigorous and thorough analysis of the likely sites for trans-splicing has been slower to appear. It is possible that through consideration of the signals involved in trans-splicing, new insights can be gained regarding RNA splicing processes in all eukaryotes. As a first step in this direction, we present a computational analysis of transsplicing signals from Leishmania major, a member of the Kinetoplastida family
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