Recognition of Neuronal Surface Antigen-Specific Immunostaining Pattern Facilitates Identification of Target Antigens in Autoimmune Encephalitis (P9-8.017)

To make a positive control panel using a commercial rat brain immunohistochemistry (c-IHC) to estimate neuronal surface (NS) antigens.

Authors

Institutions

Publication Details

Journal
Neurology
Published
2025-04-07
DOI
https://doi.org/10.1212/wnl.0000000000208673
Primary Topic
Monoclonal and Polyclonal Antibodies Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Recognition of Neuronal Surface Antigen-Specific Immunostaining Pattern Facilitates Identification of Target Antigens in Autoimmune Encephalitis (P9-8.017)

Masaki Iizuka, Juntaro Kaneko, Naomi Nagata, Eiji Kitamura et al.
Neurology
Monoclonal and Polyclonal Antibodies Research
article

Recognition of Neuronal Surface Antigen-Specific Immunostaining Pattern Facilitates Identification of Target Antigens in Autoimmune Encephalitis (P9-8.017)

Masaki Iizuka, Juntaro Kaneko, Naomi Nagata, Eiji Kitamura, Takahiro Iizuka, Kazutoshi Nishiyama, Hiroki Suga, Hiroya Ohara, Naomi Kanazawa, Hitomi Nakagawa, T. Iwami
article en

Abstract

To make a positive control panel using a commercial rat brain immunohistochemistry (c-IHC) to estimate neuronal surface (NS) antigens.

NeurologyVol. 104(7_Supplement_1)
National Archives and Records Administration (US), Showa General Hospital (JP), Kitasato University (JP)
Zero hunger
Openalex Percentile: Top 89%
Monoclonal and Polyclonal Antibodies Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.