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

Overview of attention for article published in BMC Biotechnology, September 2017
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  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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Title
A split ubiquitin system to reveal topology and released peptides of membrane proteins
Published in
BMC Biotechnology, September 2017
DOI 10.1186/s12896-017-0391-0
Pubmed ID
Authors

Qiu-Ping Li, Shuai Wang, Jin-Ying Gou

Abstract

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. 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(WT) or Nub(G) 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. 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(WT)). However, TA fused with the extracellular termini of membrane proteins can't activate reporter genes even with Nub(WT). Interestingly,TA fused with the released peptide of a membrane protein shows autoactivation in the SUT system. 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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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 24%
Student > Ph. D. Student 3 18%
Student > Master 2 12%
Student > Bachelor 2 12%
Professor > Associate Professor 1 6%
Other 2 12%
Unknown 3 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 47%
Agricultural and Biological Sciences 4 24%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Medicine and Dentistry 1 6%
Unknown 3 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 September 2017.
All research outputs
#15,478,452
of 23,001,641 outputs
Outputs from BMC Biotechnology
#675
of 939 outputs
Outputs of similar age
#198,427
of 316,396 outputs
Outputs of similar age from BMC Biotechnology
#3
of 7 outputs
Altmetric has tracked 23,001,641 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 939 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 316,396 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.