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Detection and Characterization of Autoantibodies to Neuronal Cell-Surface Antigens in the Central Nervous System

Overview of attention for article published in Frontiers in Molecular Neuroscience, May 2016
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Title
Detection and Characterization of Autoantibodies to Neuronal Cell-Surface Antigens in the Central Nervous System
Published in
Frontiers in Molecular Neuroscience, May 2016
DOI 10.3389/fnmol.2016.00037
Pubmed ID
Authors

van Coevorden-Hameete, Marleen H., Titulaer, Maarten J., Schreurs, Marco W. J., de Graaff, Esther, Sillevis Smitt, Peter A. E., Hoogenraad, Casper C.

Abstract

Autoimmune encephalitis (AIE) is a group of disorders in which autoantibodies directed at antigens located on the plasma membrane of neurons induce severe neurological symptoms. In contrast to classical paraneoplastic disorders, AIE patients respond well to immunotherapy. The detection of neuronal surface autoantibodies in patients' serum or CSF therefore has serious consequences for the patients' treatment and follow-up and requires the availability of sensitive and specific diagnostic tests. This mini-review provides a guideline for both diagnostic and research laboratories that work on the detection of known surface autoantibodies and/or the identification of novel surface antigens. We discuss the strengths and pitfalls of different techniques for anti-neuronal antibody detection: (1) Immunohistochemistry (IHC) and immunofluorescence on rat/primate brain sections; (2) Immunocytochemistry (ICC) of living cultured hippocampal neurons; and (3) Cell Based Assay (CBA). In addition, we discuss the use of immunoprecipitation and mass spectrometry analysis for the detection of novel neuronal surface antigens, which is a crucial step in further disease classification and the development of novel CBAs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 1%
Unknown 81 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 15%
Student > Bachelor 11 13%
Student > Master 10 12%
Researcher 8 10%
Other 8 10%
Other 15 18%
Unknown 18 22%
Readers by discipline Count As %
Medicine and Dentistry 25 30%
Neuroscience 14 17%
Agricultural and Biological Sciences 8 10%
Biochemistry, Genetics and Molecular Biology 5 6%
Immunology and Microbiology 4 5%
Other 6 7%
Unknown 20 24%
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 31 May 2016.
All research outputs
#20,330,976
of 22,875,477 outputs
Outputs from Frontiers in Molecular Neuroscience
#2,484
of 2,890 outputs
Outputs of similar age
#291,454
of 338,929 outputs
Outputs of similar age from Frontiers in Molecular Neuroscience
#27
of 30 outputs
Altmetric has tracked 22,875,477 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,890 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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