Literature DB >> 18855768

Generation of a tightly regulated all-cis beta cell-specific tetracycline-inducible vector.

Natasa Bulat1, Christian Widmann.   

Abstract

Ability to induce protein expression at will in a cell is a powerful strategy used by scientists to better understand the function of a protein of interest. Various inducible systems have been designed in eukaryotic cells to achieve this goal. Most of them rely on two distinct vectors, one encoding a protein that can regulate transcription by binding a compound X, and one hosting the cDNA encoding the protein of interest placed downstream of promoter sequences that can bind the protein regulated by compound X (e.g., tetracycline, ecdysone). The commercially available systems are not designed to allow cell- or tissue-specific regulated expression. Additionally, although these systems can be used to generate stable clones that can be induced to express a given protein, extensive screening is often required to eliminate the clones that display poor induction or high basal levels. In the present report, we aimed to design a pancreatic beta cell-specific tetracycline-inducible system. Since the classical two-vector based tetracycline-inducible system proved to be unsatisfactory in our hands, a single vector was eventually designed that allowed tight beta cell-specific tetracycline induction in unselected cell populations.

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Year:  2008        PMID: 18855768     DOI: 10.2144/000112947

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  2 in total

1.  Development of single-vector Tet-on inducible systems with high sensitivity to doxycycline.

Authors:  Jiun-Shuan Chao; Chun-Chieh Chao; Chu-Li Chang; Yi-Rong Chiu; Chiun-Jye Yuan
Journal:  Mol Biotechnol       Date:  2012-07       Impact factor: 2.695

2.  Expression of the NH(2)-terminal fragment of RasGAP in pancreatic beta-cells increases their resistance to stresses and protects mice from diabetes.

Authors:  Jiang-Yan Yang; Jöel Walicki; Evrim Jaccard; Gilles Dubuis; Natasa Bulat; Jean-Pierre Hornung; Bernard Thorens; Christian Widmann
Journal:  Diabetes       Date:  2009-08-20       Impact factor: 9.461

  2 in total

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