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Vectors for Expression of Signal Peptide-Dependent Proteins in Baculovirus/Insect Cell Systems and Their Application to Expression and Purification of the High-Affinity Immunoglobulin Gamma Fc…

Overview of attention for article published in Molecular Biotechnology, November 2017
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Title
Vectors for Expression of Signal Peptide-Dependent Proteins in Baculovirus/Insect Cell Systems and Their Application to Expression and Purification of the High-Affinity Immunoglobulin Gamma Fc Receptor I in Complex with Its Gamma Chain
Published in
Molecular Biotechnology, November 2017
DOI 10.1007/s12033-017-0041-8
Pubmed ID
Authors

Le T. M. Le, Jens R. Nyengaard, Monika M. Golas, Bjoern Sander

Abstract

Integral membrane proteins play a central role in various cellular functions and are important therapeutic targets. However, technical challenges in the overexpression and purification of membrane proteins often represent a limiting factor for biochemical and structural studies. Here, we constructed a set of vectors, derivatives of MultiBac vectors that can be used to express proteins with a cleavable N-terminal signal peptide in insect cells. We propose these vectors for expression of type I membrane proteins and other secretory pathway proteins that require the signal recognition particle for translocation to the endoplasmic reticulum (ER). The vectors code for N-terminal and C-terminal affinity tags including 3 × FLAG and Twin-Strep, which represent tags compatible with efficient translocation to the ER as well as with purification under mild conditions that preserve protein structure and function. As a model, we used our system to express and purify the engineered high-affinity immunoglobulin gamma Fc receptor I (CD64) in complex with its gamma subunit (γ-chain). We demonstrate that CD64 expressed in complex with the γ-chain is functional in immunoglobulin G (IgG) binding. The sedimentation of CD64 in complex with IgG suggests individual CD64/IgG complexes in addition to formation of high-molecular weight complexes. In summary, our vectors can be used as a tool for expression of membrane proteins, other secretory pathway proteins and their protein complexes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 31%
Student > Master 4 13%
Student > Ph. D. Student 4 13%
Student > Doctoral Student 3 9%
Student > Bachelor 2 6%
Other 2 6%
Unknown 7 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 31%
Agricultural and Biological Sciences 4 13%
Engineering 3 9%
Chemical Engineering 2 6%
Medicine and Dentistry 1 3%
Other 3 9%
Unknown 9 28%
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 17 November 2017.
All research outputs
#18,576,855
of 23,008,860 outputs
Outputs from Molecular Biotechnology
#746
of 974 outputs
Outputs of similar age
#248,822
of 324,977 outputs
Outputs of similar age from Molecular Biotechnology
#5
of 7 outputs
Altmetric has tracked 23,008,860 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 974 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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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 2 of them.