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Genetic analysis of attractin homologs

  • Will P. Walker
    ,
  • Swaroop Aradhya
    ,
  • Che Lin Hu
    ,
  • Shiliang Shen
    ,
  • Wei Zhang
    ,
  • Arezou Azarani
*Corresponding author for this work
  • Cornell University
    ,
  • Stanford University
    ,
  • Rutgers - The State University of New Jersey, Newark
    ,
  • University of Texas Health Science Center at San Antonio
    ,
  • Axygen BioSciences
Scholary Output:
Contribution to journal
Article
Peer-review

Abstract

Attractin (ATRN) and Attractin-like 1 (ATRNL1) are highly similar type I transmembrane proteins. Atrn null mutant mice have a pleiotropic phenotype including dark fur, juvenile-onset spongiform neurodegeneration, hypomyelination, tremor, and reduced body weight and adiposity, implicating ATRN in numerous biological processes. Bioinformatic analysis indicated that Atrn and Atrnl1 arose from a common ancestral gene early in vertebrate evolution. To investigate the genetics of the ATRN system and explore potential redundancy between Atrn and Atrnl1, we generated and characterized Atrnl1 loss- and gain-of-function mutations in mice. Atrnl1 mutant mice were grossly normal with no alterations of pigmentation, central nervous system pathology or body weight. Atrn null mutant mice carrying a β-actin promoter-driven Atrnl1 transgene had normal, agouti-banded hairs and significantly delayed onset of spongiform neurodegeneration, indicating that over-expression of ATRNL1 compensates for loss of ATRN. Thus, the two genes are redundant from the perspective of gain-of-function but not loss-of-function mutations.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 744-756 (13 pages)

Journal (Volume, Issue Number)

Genesis (Volume 45, Issue 12)

Publication milestones

  • Published - 12/2007

Publication status

Published - 12/2007

ISSN

1526-954X

Publication IDs

  • Scopus: 38549115127
  • PubMed: 18064672
  • ORCID: /0000-0002-2077-3188/work/117466064

Publication metrics

Metrics

SciVal
FWCI
0.78
SciVal
Author count
9
SciVal
citations
15
SciVal
Paper percentile
68
Scopus
citations
Fractional count
2
Fractional count
0.22
Fractional count
7
Fractional count
0.78
Fractional count
2
Fractional count
1

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Mentions
1
Captures
23
Citation count
20

Funding Details

FunderFunding number
NIMH
R01MH073844