Gene Information |
Gene ID: | | 12010 |
Symbol: | | B2m |
Full Name: | | beta-2 microglobulin |
Alias: | | Ly-m11|beta2-m |
Organism: | | Mus musculus (Mouse) |
Chromosome: | | 2 |
Genetic Location: | | 2 F1-F3|2 69.0 cM |
Physical Location: | | 121973422-121978817 on NC_000068.6 |
Gene Type: | | protein-coding |
Human Ortholog: | | GeneID: 567 Symbol (Name): B2M (beta-2-microglobulin) |
Ortholog Status: | | The human GeneID 567 is also in human dataset(s). |
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Gene in Ethanol Study Datasets |
Gene Information | Original ID1: | | B2m | P Value: | | 0.005 | Note: | | Differentially expressed genes in brains of HAFT and LAFT mice. The P_value is the QTL P_value. |
| Dataset Information | Name: | | 12805289 | Method: | | Microarray and QTL | Tissue: | | Whole brain | Phenotype: | | Acute functional tolerance to ethanol | Publication: | | Tabakoff et al. J Neurosci. (2003) Selective breeding, quantitative trait locus analysis, and gene arrays identify candidate genes for complex drug-related behaviors. PubMed | Summary: | | We describe a novel approach that uses a combination of selective breeding, quantitative trait locus analysis, and DNA microarray technology to identify candidate genes for the complex phenotype of ethanol tolerance. Tolerance that develops during a single exposure to alcohol is defined as acute functional tolerance (AFT). Lines of mice to display high acute functional tolerance (HAFT mice) and low acute functional tolerance (LAFT mice) to the incoordinating effect of ethanol were used. |
| Gene Information | | Dataset Information | Name: | | 16618939 | Method: | | Microarray | Tissue: | | Whole brain | Phenotype: | | Alcohol preference | Publication: | | Mulligan et al. Proc Natl Acad Sci U S A. (2006) Toward understanding the genetics of alcohol drinking through transcriptome meta-analysis. PubMed | Summary: | | Microarray analyses of brain gene expression in three selected lines, and six isogenic strains of mice known to differ markedly in voluntary alcohol consumption provided >4.5 million data points for a meta-analysis. A total of 107 arrays were obtained and arranged into six experimental data sets, allowing the identification of 3,800 unique genes significantly and consistently changed between all models of high or low amounts of alcohol consumption. Here we select the 75 genes with the largest effect size (|d|) and lowest Q values. |
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Gene Refseq Sequence Annotation |
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Gene Ontology (GO) Annotation |
GO ID | GO Term | Category | Evidence (PubMed) | |
GO:0005576 | extracellular region | Cellular Component | IEA | |
GO:0005615 | extracellular space | Cellular Component | RCA (12466851) | |
GO:0042612 | MHC class I protein complex | Cellular Component | IEA | |
GO:0005515 | protein binding | Molecular Function | IPI (14735325) | |
GO:0002474 | antigen processing and presentation of peptide antigen via MHC class I | Biological Process | IEA | |
GO:0006955 | immune response | Biological Process | IEA | |
GO:0006968 | cellular defense response | Biological Process | TAS (2685607) | |
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Other Database Cross Links |
NCBI Entrez Gene: | | 12010 |
MGI: | |
Ensembl: | | ENSMUSG00000060802 |
dbSNP: | | B2m |
AceView: | | B2m |