Literature DB >> 9925916

Identification, genomic organization, and alternative splicing of KNSL3, a novel human gene encoding a kinesin-like protein.

S Okamoto1, M Matsushima, Y Nakamura.   

Abstract

Proteins of the kinesin superfamily are microtubule-dependent molecular motors that play important roles in organelle transport and cell division. Through genomic sequencing and use of the RT-PCR technique, we have identified and characterized KNSL3 (kinesin-like 3), a novel member of the kinesin-like protein family in humans. We determined its genomic organization and detected four alternatively spliced transcripts. KNSL3 was expressed ubiquitously, but sizes and relative amounts of the major products were different in each of the tissues examined. Alternative splicing, along with the multiplicity of genes in the molecular family that includes KNSL3, produce diversity among the C-terminal ends of kinesins. These observations may contribute to an understanding of the specificity of different kinesins with respect to organelle binding.

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Year:  1998        PMID: 9925916     DOI: 10.1159/000015159

Source DB:  PubMed          Journal:  Cytogenet Cell Genet        ISSN: 0301-0171


  4 in total

1.  Kinesin superfamily proteins (KIFs) in the mouse transcriptome.

Authors:  Harukata Miki; Mitsutoshi Setou; Nobutaka Hirokawa
Journal:  Genome Res       Date:  2003-06       Impact factor: 9.043

Review 2.  All kinesin superfamily protein, KIF, genes in mouse and human.

Authors:  H Miki; M Setou; K Kaneshiro; N Hirokawa
Journal:  Proc Natl Acad Sci U S A       Date:  2001-06-19       Impact factor: 11.205

3.  The tetrameric kinesin Kif25 suppresses pre-mitotic centrosome separation to establish proper spindle orientation.

Authors:  Justin Decarreau; Michael Wagenbach; Eric Lynch; Aaron R Halpern; Joshua C Vaughan; Justin Kollman; Linda Wordeman
Journal:  Nat Cell Biol       Date:  2017-03-06       Impact factor: 28.824

4.  Mechanistic phenotypes: an aggregative phenotyping strategy to identify disease mechanisms using GWAS data.

Authors:  Jonathan D Mosley; Sara L Van Driest; Emma K Larkin; Peter E Weeke; John S Witte; Quinn S Wells; Jason H Karnes; Yan Guo; Lisa Bastarache; Lana M Olson; Catherine A McCarty; Jennifer A Pacheco; Gail P Jarvik; David S Carrell; Eric B Larson; David R Crosslin; Iftikhar J Kullo; Gerard Tromp; Helena Kuivaniemi; David J Carey; Marylyn D Ritchie; Josh C Denny; Dan M Roden
Journal:  PLoS One       Date:  2013-12-12       Impact factor: 3.240

  4 in total

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