Literature DB >> 14733918

Screening of Hsp105alpha-binding proteins using yeast and bacterial two-hybrid systems.

Youhei Saito1, Kazuya Doi, Nobuyuki Yamagishi, Keiichi Ishihara, Takumi Hatayama.   

Abstract

Hsp105alpha is a 105-kDa stress protein, which is expressed constitutively at especially high levels in the brain compared with other tissues in mammals, and is also induced by a variety of stressors. Recently, we have shown that Hsp105alpha binds to alpha-tubulin and prevents the heat-induced disaggregation of microtubules. To further elucidate the function of Hsp105alpha, we searched for Hsp105alpha-binding proteins by screening a mouse FM3A cell library and human and mouse brain cDNA libraries using the yeast and bacterial two-hybrid systems. We showed here that Hsp105alpha interacted with several cellular proteins, such as cofilin, dynein light chain 2A, alpha-adducin, ubiquitin activating enzyme E1, phosphoglycerate kinase 1, and platelet-activating factor acethylhydrolase alpha1-subunit. The interaction was validated by the results of a pull-down assay and indirect immunofluorescence analysis. The significance of Hsp105alpha and Hsp105alpha-binding proteins in cells was discussed.

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Year:  2004        PMID: 14733918     DOI: 10.1016/j.bbrc.2003.12.108

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  3 in total

1.  HSP105 interacts with GRP78 and GSK3 and promotes ER stress-induced caspase-3 activation.

Authors:  Gordon P Meares; Anna A Zmijewska; Richard S Jope
Journal:  Cell Signal       Date:  2007-11-17       Impact factor: 4.315

2.  Dynamic transcriptomic analysis of Ischemic Injury in a Porcine Pre-Clinical Model mimicking Donors Deceased after Circulatory Death.

Authors:  Sebastien Giraud; Clara Steichen; Geraldine Allain; Pierre Couturier; Delphine Labourdette; Sophie Lamarre; Virginie Ameteau; Solenne Tillet; Patrick Hannaert; Raphael Thuillier; Thierry Hauet
Journal:  Sci Rep       Date:  2018-04-13       Impact factor: 4.379

3.  Identification of potential gene drivers of cutaneous squamous cell carcinoma: Analysis of microarray data.

Authors:  Yi Zheng; Sumin Chi; Chengxin Li
Journal:  Medicine (Baltimore)       Date:  2020-09-25       Impact factor: 1.817

  3 in total

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