Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2018 Oct 13;56(6):4346–4363. doi: 10.1007/s12035-018-1368-2

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© The Author(s) 2018

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

PMC Copyright notice

Fig. 8 — Modeling in silico the interaction between selected genes involved in PGC-1α pathway and neuronal differentiation. The in silico analysis of function and interaction between PPAR receptors (PPARA, PPARD, PPARG), coactivator PAPRGC1A gene and neural (NES), neuronal (DCX, NEFL, NEFM, NEFH), neuronal subtypes (TH, CHAT, SLC17A7, SLC1A1, GAD1, SLC6A4), as well as astrocyte (ALDH1L1, SLC1A3, SLC1A2, S100B) and oligodendrocyte (CSPG4) markers was performed in the Genemania web tool (https://genemania.org/) to show the networks of interaction between the selected genes (cytoscape). The in silico evaluation present function of analyzed genes and network of interactions between them. Within the function category, analyzed genes were divided into the following groups: neuron projection (NEFH, NEFM, BEFL, DCX, TH); intermediate filament cytoskeleton (NES, NEFH, NEFL); intracellular receptor signaling pathway (PPARA, PPARD, PAPRG, PPARGC1A); S100B protein binding (S100B); regulation of neurotransmitter level (CHAT, SLC17A7, SLC1A3, SLC6A4, GAD1); carboxylic acid transport (PPARA, PPARG, PAPRD, SLC1A3, SCL17A7, SLC1A1, SLC1A2). Within the network category analyzed genes were divided, based on the type of interaction, to the following groups: physical interaction (1.41%), prediction (63.88%), genetic interaction (0.33%), shared protein domains (12.06%), co-localization (3.71%), co-expression (17.75%), and pathway (0.86%)