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A three‐dimensional model of the U1 small nuclear ribonucleoprotein particle
Author(s) -
SOMARELLI Jason A.,
MESA Annia,
ROY Ambrish,
ZHANG Yang,
HERRERA Rene J.
Publication year - 2010
Publication title -
entomological research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 20
eISSN - 1748-5967
pISSN - 1738-2297
DOI - 10.1111/j.1748-5967.2010.00266.x
Subject(s) - snrnp , small nuclear ribonucleoprotein , spliceosome , small nuclear rna , biology , intron , rna splicing , ribonucleoprotein , rna , computational biology , exon , genetics , microbiology and biotechnology , non coding rna , gene
Most of the pre‐mRNAs in the eukaryotic cell are comprised of protein‐coding exons and non‐protein‐coding introns. The introns are removed and the exons are ligated together, or spliced, by a large, macromolecular complex known as the spliceosome. This RNA‐protein assembly is made up of five uridine‐rich small nuclear RNAs (U1‐, U2‐, U4‐, U5‐ and U6‐snRNA) as well over 300 proteins, which form small nuclear ribonucleoprotein particles (snRNPs). Initial recognition of the 5′ exon/intron splice site is mediated by the U1 snRNP, which is composed of the U1 snRNA as well as at least ten proteins. By combining structural informatics tools with the available biochemical and crystallographic data, we attempted to simulate a complete, three dimensional U1 snRNP from the silk moth, Bombyx mori . Comparison of our model with empirically derived crystal structures and electron micrographs pinpoints both the strengths and weaknesses in the in silico determination of macromolecular complexes. One of the most striking differences between our model and experimentally generated structures is in the positioning of the U1 snRNA stem‐loops. This highlights the continuing difficulties in generating reliable, complex RNA structures; however, three‐dimensional modeling of individual protein subunits by threading provided models of biological significance and the use of both automated and manual docking strategies generated a complex that closely reflects the assembly found in nature. Yet, without utilizing experimentally‐derived contacts to select the most likely docking scenario, ab initio docking would fall short of providing a reliable model. Our work shows that the combination of experimental data with structural informatics tools can result in generation of near‐native macromolecular complexes.