CD22 antibody Spectral Red
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Catalog number61R-CD22cMSSP
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Price:
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Size100 µg
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CategoryPrimary Antibody
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Antibody SubtypeConjugated Monoclonal Antibodies
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Area of researchImmunology
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Type of ImmunogenCD22 antibody (Spectral Red) was raised in rat using CD22 ..
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Raised inRat
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SpecificityMurine
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Cross ReactivityShould be determined by the end user
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IsotypesIgG1
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Clone2D6
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Conjugate TagSpectral Red
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Concentration0.1 mg/ml
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Form BufferProvided as a liquid in PBS, with NaN3 added as preservative.
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StorageStore at 4 deg C.
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Shipping conditionsBlue Ice
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Tested forFC
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Usage RecommendationsOptimal conditions to be determined by end user
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PropertiesIf you buy Antibodies supplied by fitzgerald they should be stored frozen at - 24°C for long term storage and for short term at + 5°C.
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Conjugationred dye
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French translationanticorps
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Gene target
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Gene symbolCD22
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Short nameCD22 antibody Spectral Red
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TechniqueAntibody, antibodies against human proteins, antibodies for
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LabelRed
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Alternative nameRat monoclonal CD22 antibody (Spectral Red)
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Alternative techniqueantibodies
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Alternative to gene targetCD22 molecule, SIGLEC-2 and SIGLEC2, CD22 and IDBG-44001 and ENSG00000012124 and 933, protein binding, Cell surfaces, Cd22 and IDBG-171574 and ENSMUSG00000030577 and 12483, CD22 and IDBG-635610 and ENSBTAG00000011887 and 514582
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Gene info
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Identity
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Gene
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Long gene nameCD22 molecule
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Synonyms gene name
- CD22 antigen
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Synonyms
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Synonyms name
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GenBank acession
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Locus
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Discovery year1991-06-06
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Entrez gene record
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Pubmed identfication
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RefSeq identity
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Classification
- CD molecules
- MicroRNA protein coding host genes
- C2-set domain containing
- Sialic acid binding Ig like lectins
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VEGA ID
MeSH Data
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Name
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ConceptScope note: Identification of proteins or peptides that have been electrophoretically separated by blot transferring from the electrophoresis gel to strips of nitrocellulose paper, followed by labeling with antibody probes.
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Tree numbers
- E05.196.401.143
- E05.301.300.096
- E05.478.566.320.200
- E05.601.262
- E05.601.470.320.200
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Qualifiersethics, trends, veterinary, history, classification, economics, instrumentation, methods, standards, statistics & numerical data