A split ubiquitin system to reveal topology and released peptides of membrane proteins.

Authors:
Qiu-Ping Li
Qiu-Ping Li
Tongji University
China
Shuai Wang
Shuai Wang
College of Veterinary Medicine
College Station | United States
Dr. Jin-Ying Gou, Dr.
Dr. Jin-Ying Gou, Dr.
Fudan University
Professor
Wheat, fungal resistance, phenolic compounds
Shanghai, Shanghai | China

BMC Biotechnol 2017 Sep 2;17(1):69. Epub 2017 Sep 2.

Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai, 200438, China.

Background: Membrane proteins define biological functions of membranes in cells. Extracellular peptides of transmembrane proteins receive signals from pathogens or environments, and are the major targets of drug developments. Despite of their essential roles, membrane proteins remain elusive in topological studies due to technique difficulties in their expressions and purifications.

Methods: First, the target gene is cloned into a destination vector to fuse with C terminal ubiquitin at the N or C terminus. Then, Cub vector with target gene and Nub or Nub vectors are transformed into AP4 or AP5 yeast cells, respectively. After mating, the diploid cells are dipped onto selection medium to check the growth. Topology of the target protein is determined according to Table 1.

Results: We present a split ubiquitin topology (SUT) analysis system to study the topology and truncation peptide of membrane proteins in a simple yeast experiment. In the SUT system, transcription activator (TA) fused with a nucleo-cytoplasmic protein shows strong auto-activation with both positive and negative control vectors. TA fused with the cytoplasmic end of membrane proteins activates reporter genes only with positive control vector with a wild type N terminal ubiquitin (Nub). However, TA fused with the extracellular termini of membrane proteins can't activate reporter genes even with Nub. Interestingly,TA fused with the released peptide of a membrane protein shows autoactivation in the SUT system.

Conclusion: The SUT system is a simple and fast experimental procedure complementary to computational predictions and large scale proteomic techniques. The preliminary data from SUT are valuable for pathogen recognitions and new drug developments.

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http://dx.doi.org/10.1186/s12896-017-0391-0DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5581432PMC
September 2017
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