Hagemann, Urs B and Mason, Jody M and Müller, Kristian M and Arndt, Katja M (2008) Selectional and mutational scope of peptides sequestering the Jun-Fos coiled-coil domain. Journal of molecular biology, 381 (1). pp. 73-88.
Hagemann, Urs B and Mason, Jody M and Müller, Kristian M and Arndt, Katja M (2008) Selectional and mutational scope of peptides sequestering the Jun-Fos coiled-coil domain. Journal of molecular biology, 381 (1). pp. 73-88.
Hagemann, Urs B and Mason, Jody M and Müller, Kristian M and Arndt, Katja M (2008) Selectional and mutational scope of peptides sequestering the Jun-Fos coiled-coil domain. Journal of molecular biology, 381 (1). pp. 73-88.
Abstract
The activator protein-1 (AP-1) complex plays a crucial role in numerous pathways, and its ability to induce tumorigenesis is well documented. Thus, AP-1 represents an interesting therapeutic target. We selected peptides from phage display and compared their ability to disrupt the cFos/cJun interaction to a previously described in vivo protein-fragment complementation assay (PCA). A cJun-based library was screened to enrich for peptides that disrupt the AP-1 complex by binding to the cFos coiled-coil domain. Interestingly, phage display identified one helix, JunW(Ph1) [phage-selected winning peptide (clone 1) targeting cFos], which differs in only 2 out of 10 randomized positions to JunW (PCA-selected winning peptide targeting cFos). Phage-selected peptides revealed higher affinity to cFos than wild-type cJun, harboring a T(m) of 53 degrees C compared to 16 degrees C for cFos/cJun or 44 degrees C for cFos/JunW. In PCA growth assays in the presence of cJun as competitor, phage-selected JunW(Ph1) conferred shorter generation times than JunW. Bacterial growth was barely detectable, using JunW(Ph1) as a competitor for the wild-type cJun/cFos interaction, indicating efficient cFos removal from the dimeric wild-type complex. Importantly, all inhibitory peptides were able to interfere with DNA binding as demonstrated in gel shift assays. The selected sequences have consequently improved our 'bZIP coiled-coil interaction prediction algorithm' in distinguishing interacting from noninteracting coiled-coil sequences. Predicting and manipulating protein interaction will accelerate the systems biology field, and generated peptides will be valuable tools for analytical and biomedical applications.
Item Type: | Article |
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Subjects: | Q Science > QH Natural history > QH301 Biology |
Divisions: | Faculty of Science and Health > Life Sciences, School of |
Depositing User: | Jim Jamieson |
Date Deposited: | 11 Oct 2011 10:36 |
Last Modified: | 16 Dec 2014 11:21 |
URI: | http://repository.essex.ac.uk/id/eprint/1066 |