Bioinformatic identification of polymerizing and transmembrane mucins in the puffer fish Fugu rubripes
Artikel i vetenskaplig tidskrift, 2004

Mucins are large glycoproteins characterized by mucin domains that show little sequence conservation and are rich in the amino acids Ser, Thr, and Pro. To effectively predict mucins from genomic and protein sequences obtained from genome projects, we developed a strategy based on the amino acid compositional bias characteristic of the mucin domains. This strategy is combined with an analysis of other features commonly found in mucins. Our method has now been used to predict mucins in the puffer fish Fugu rubripes that were previously not identified or annotated. At least three gel-forming mucins were found with the same general domain structure as the human MUC2 mucin. In addition one transmembrane mucin was identified with SEA and EGF domains as found in the mammalian transmembrane mucins. These results suggest that the number of gel-forming mucins has been conserved during evolution of the vertebrates, whereas the family of transmembrane mucins has been markedly expanded in the higher vertebrates.

Biopolymers

Animals

chemistry

Takifugu

chemistry

Mucins

Membrane Proteins

chemistry

Computational Biology

Författare

Tiange Lang

Göteborgs universitet

Marina Axelson-Fisk

Chalmers, Institutionen för matematisk statistik

Göteborgs universitet

Gunnar C. Hansson

Göteborgs universitet

Tore Samuelsson

Göteborgs universitet

Glycobiology

0959-6658 (ISSN) 1460-2423 (eISSN)

Vol. 14 6 521-527

Ämneskategorier

MEDICIN OCH HÄLSOVETENSKAP

Bioinformatik och systembiologi

Sannolikhetsteori och statistik

DOI

10.1093/glycob/cwh066

Mer information

Skapat

2017-10-07