Trait Data and Analysis for ENSRNOG00000013829

Cholinergic receptor nicotinic alpha 3 subunit

Details and Links

Group Rat: HSNIH-Palmer group
Tissue Nucleus Accumbens mRNA
Gene Symbol Chrna3
Aliases Wikidata: BAIPRCK; LNCR2; NACHRA3; PAOD2; (a)3; A730007P14Rik; Acra-3; Acra3
GeneNetwork: Chrna3
Location Chr 8 @ 55.401981 Mb on the minus strand
Summary Enables acetylcholine binding activity; heterocyclic compound binding activity; and postsynaptic neurotransmitter receptor activity. Involved in several processes, including acetylcholine receptor signaling pathway; regulation of synaptic vesicle exocytosis; and response to nicotine. Located in several cellular components, including neuronal cell body; plasma membrane raft; and postsynaptic density. Part of acetylcholine-gated channel complex. Is active in cholinergic synapse and dopaminergic synapse. Is integral component of postsynaptic specialization membrane. Used to study visual epilepsy. Human ortholog(s) of this gene implicated in lung cancer. Orthologous to human CHRNA3 (cholinergic receptor nicotinic alpha 3 subunit). [provided by Alliance of Genome Resources, Apr 2022]
Database HSNIH-Palmer Nucleus Accumbens Core RNA-Seq (Aug18) rlog
Resource Links Gene    GeneMANIA    Protein Atlas    Rat Genome DB    GTEx Portal    PhenoGen   
UCSC    BioGPS    STRING    PANTHER    Gemma    EBI GWAS   

Statistics


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Calculate Correlations

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Sample Correlation
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Literature Correlation
The Literature Correlation (Lit r) between this gene and all other genes is computed
using the Semantic Gene Organizer and human, rat, and mouse data from PubMed. Values are ranked by Lit r, but Sample r and Tissue r are also displayed.
More on using Lit r
Tissue Correlation
The Tissue Correlation (Tissue r) estimates the similarity of expression of two genes or transcripts across different cells, tissues, or organs (glossary). Tissue correlations are generated by analyzing expression in multiple samples usually taken from single cases.
Pearson and Spearman Rank correlations have been computed for all pairs of genes using data from mouse samples.

Mapping Tools

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Review and Edit Data

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  # read into R
  trait <- read.csv("ENSRNOG00000013829.csv", header = TRUE, comment.char = "#")

  # read into python
  import pandas as pd
  trait = pd.read_csv("ENSRNOG00000013829.csv", header = 0, comment = "#")
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Samples


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