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© 2017 Lomaev et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

The Drosophila GAGA factor (GAF) has an extraordinarily diverse set of functions that include the activation and silencing of gene expression, nucleosome organization and remodeling, higher order chromosome architecture and mitosis. One hypothesis that could account for these diverse activities is that GAF is able to interact with partners that have specific and dedicated functions. To test this possibility we used affinity purification coupled with high throughput mass spectrometry to identify GAF associated partners. Consistent with this hypothesis the GAF interacting network includes a large collection of factors and complexes that have been implicated in many different aspects of gene activity, chromosome structure and function. Moreover, we show that GAF interactions with a small subset of partners is direct; however for many others the interactions could be indirect, and depend upon intermediates that serve to diversify the functional capabilities of the GAF protein.

Details

Title
The GAGA factor regulatory network: Identification of GAGA factor associated proteins
Author
Lomaev, Dmitry; Mikhailova, Anna; Erokhin, Maksim; Shaposhnikov, Alexander V; Moresco, James J; Blokhina, Tatiana; Wolle, Daniel; Aoki, Tsutomu; Ryabykh, Vladimir; Yates, John R, III; Shidlovskii, Yulii V; Georgiev, Pavel; Schedl, Paul; Chetverina, Darya
First page
e0173602
Section
Research Article
Publication year
2017
Publication date
Mar 2017
Publisher
Public Library of Science
e-ISSN
19326203
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1877791720
Copyright
© 2017 Lomaev et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.