scholarly journals Nephrocystin

2000 ◽  
Vol 11 (2) ◽  
pp. 270-282
Author(s):  
EDGAR OTTO ◽  
ANDREAS KISPERT ◽  
SILVIA SCHÄTZLE ◽  
BIRGIT LESCHER ◽  
CORNELIA RENSING ◽  
...  

Juvenile nephronophthisis, an autosomal recessive cystic kidney disease, is the primary genetic cause for chronic renal failure in children. The gene (NPHP 1) for nephronophthisis type 1 has recently been identified. Its gene product, nephrocystin, is a novel protein of unknown function, which contains a src-homology 3 domain. To study tissue expression and analyze amino acid sequence conservation of nephrocystin, the full-length murine Nphp 1 cDNA sequence was obtained and Northern and in situ hybridization analyses were performed for extensive expression studies. The results demonstrate widespread but relatively weak NPHP 1 expression in the human adult. In the adult mouse there is strong expression in testis. This expression occurs specifically in cell stages of the first meiotic division and thereafter. In situ hybridization to whole mouse embryos demonstrated widespread and uniform expression at all developmental stages. Amino acid sequence conservation studies in human, mouse, and Caenorhabditis elegans show that in nephrocystin the src-homology 3 domain is embedded in a novel context of other putative domains of protein-protein interaction, such as coiled-coil and E-rich domains. It is concluded that for multiple putative protein-protein interaction domains of nephrocystin, sequence conservation dates back at least to Caenorhabditis elegans. The previously described discrepancy between widespread tissue expression and the restriction of symptoms to the kidney has now been confirmed by an in-depth expression study.

FEBS Journal ◽  
2018 ◽  
Vol 285 (18) ◽  
pp. 3485-3502
Author(s):  
Andrei V. Chernov ◽  
Albert G. Remacle ◽  
Swathi K. Hullugundi ◽  
Piotr Cieplak ◽  
Mila Angert ◽  
...  

2010 ◽  
Vol 20 (1) ◽  
pp. 37-45
Author(s):  
Mohammad Shoyaib ◽  
M. Abdullah-Al-Wadud ◽  
Syed Murtuza Baker ◽  
Mohammad Nurul Islam ◽  
Oksam Chae

An improved computational approach which implements a protein-protein interaction prediction system based on the sequence information of a protein has been presented. A Support Vector Machine (SVM) is trained with this sequence information to predict the interactions. This interaction prediction technique exhibits 79.81% accuracy over a wide range of data, which is a significant improvement over other conventional computational protein-protein interaction prediction methods. Key words: Protein-protein interaction, Amino acid sequence, Computational approach D.O.I. 10.3329/ptcb.v20i1.5963 Plant Tissue Cult. & Biotech. 20(1): 37-45, 2010 (June)  


2007 ◽  
Vol 65 (3) ◽  
pp. 277-288 ◽  
Author(s):  
Gary W. Daughdrill ◽  
Pranesh Narayanaswami ◽  
Sara H. Gilmore ◽  
Agniezka Belczyk ◽  
Celeste J. Brown

2010 ◽  
Vol 10 (1) ◽  
pp. 20 ◽  
Author(s):  
Shuichi Hirose ◽  
Kiyonobu Yokota ◽  
Yutaka Kuroda ◽  
Hiroshi Wako ◽  
Shigeru Endo ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document