A comprehensive p75 neurotrophin receptor gene network and pathway analyses identifying new target genes

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Sajanti , A , Lyne , S B , Girard , R , Frantzen , J , Rantamaki , T , Heino , I , Cao , Y , Diniz , C , Umemori , J , Li , Y , Takala , R , Posti , J P , Roine , S , Koskimäki , F , Rahi , M , Rinne , J , Castren , E & Koskimäki , J 2020 , ' A comprehensive p75 neurotrophin receptor gene network and pathway analyses identifying new target genes ' , Scientific Reports , vol. 10 , no. 1 , 14984 . https://doi.org/10.1038/s41598-020-72061-z

Title: A comprehensive p75 neurotrophin receptor gene network and pathway analyses identifying new target genes
Author: Sajanti, Antti; Lyne, Sean B.; Girard, Romuald; Frantzen, Janek; Rantamaki, Tomi; Heino, Iiro; Cao, Ying; Diniz, Cassiano; Umemori, Juzoh; Li, Yan; Takala, Riikka; Posti, Jussi P.; Roine, Susanna; Koskimäki, Fredrika; Rahi, Melissa; Rinne, Jaakko; Castren, Eero; Koskimäki, Janne
Contributor organization: Drug Research Program
Division of Pharmacology and Pharmacotherapy
Laboratory of Neurotherapeutics
Molecular and Integrative Biosciences Research Programme
Neuroscience Center
Date: 2020-09-11
Language: eng
Number of pages: 9
Belongs to series: Scientific Reports
ISSN: 2045-2322
DOI: https://doi.org/10.1038/s41598-020-72061-z
URI: http://hdl.handle.net/10138/320205
Abstract: P75 neurotrophic receptor (p75NTR) is an important receptor for the role of neurotrophins in modulating brain plasticity and apoptosis. The current understanding of the role of p75NTR in cellular adaptation following pathological insults remains blurred, which makes p75NTR's related signaling networks an interesting and challenging initial point of investigation. We identified p75NTR and related genes through extensive data mining of a PubMed literature search including published works related to p75NTR from the past 20 years. Bioinformatic network and pathway analyses of identified genes (n=235) were performed using ReactomeFIViz in Cytoscape based on the highly reliable Reactome functional interaction network algorithm. This approach merges interactions extracted from human curated pathways with predicted interactions from machine learning. Genome-wide pathway analysis showed total of 16 enriched hierarchical clusters. A total of 278 enriched single pathways were also identified (p
Subject: GROWTH-FACTOR RECEPTOR
TRK RECEPTORS
BRAIN
P75(NTR)
ACTIVATION
KINASE
EXPRESSION
MOLECULE
RECOVERY
TISSUES
3112 Neurosciences
Peer reviewed: Yes
Rights: cc_by
Usage restriction: openAccess
Self-archived version: publishedVersion


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