MHC Class I (HLA-A, HLA-B, HLA-C)[MHC Class I]

  • Catalog number
    MBS378067
  • Price
    Please ask
  • Size
    NA
  • Products_type
    Antibody
  • Reactivity
    Human
  • Gene target
    MHC   Class   HLA-A   HLA-B   HLA-C   [MHC   Class  
  • Gene symbol
    HLA-A, HLA-DPA2, HLA-C, HLA-DOA, HLA-DQA1, HLA-B, HLA-N, HLA-DPB1, HLA-DQA2, HLA-DQB2
  • Short name
    MHC Class I (HLA-A, HLA-B, HLA-C)[MHC Class I]
  • Host
    Mouse
  • Alternative name
    Major histocompabitility complex Class I (major histocompatibility complex, class I, A, major histocompatibility complex, class I, B, major histocompatibility complex, class I, C)[Major histocompabitility complex Class I]
  • Alternative to gene target
    major histocompatibility complex, class I, C, D6S204 and HLA-JY3 and HLC-C and PSORS1, HLA-C and IDBG-77290 and ENSG00000204525 and 3107, peptide antigen binding, Cell surfaces
Gene info
Gene info
Gene info
Gene info
Gene info
Gene info
  • Identity
  • Gene
  • Long gene name
    major histocompatibility complex, class I, B
  • Synonyms gene
  • Synonyms gene name
    • ankylosing spondylitis
  • GenBank acession
  • Locus
  • Discovery year
    2001-06-22
  • Entrez gene record
  • Pubmed identfication
  • RefSeq identity
  • Classification
    • C1-set domain containing
    • Histocompatibility complex
    • MicroRNA protein coding host genes
  • VEGA ID
  • Locus Specific Databases
Gene info
Gene info
Gene info
Gene info
MeSH Data
  • Name
  • Concept
    Scope note: Testing erythrocytes to determine presence or absence of blood-group antigens, testing of serum to determine the presence or absence of antibodies to these antigens, and selecting biocompatible blood by crossmatching samples from the donor against samples from the recipient. Crossmatching is performed prior to transfusion.
  • Tree numbers
    • E01.370.225.625.120
    • E01.370.225.812.385.120
    • E05.200.625.120
    • E05.200.812.385.120
    • E05.478.594.385.120
  • Qualifiers
    ethics, mortality, psychology, trends, veterinary, history, classification, economics, instrumentation, methods, nursing, standards, adverse effects, statistics & numerical data
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