MDA (Malondialdehyde) Neat Antiserum Antibody (General)
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Catalog numberMD20S-G1b
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PricePlease ask
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Size1.0 mililiters
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General descriptionOur MDA (Malondialdehyde) Neat Antiserum Antibody is an affinity purified Pab raised in Goat with high specificity againstMDA (Malondialdehyde) Neat Antiserum
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Long nameGoat Polyclonal Antibody to General MDA (Malondialdehyde) Neat Antiserum
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Synonym nameGoat Antibody to General MDA (Malondialdehyde) Neat Antiserum
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Species reactivityGeneral
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Conjugationnon-conjugated
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ClonalityPolyclonal antibodies
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Recognized antigenMDA (Malondialdehyde) Neat Antiserum
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PropertiesIf you buy Antibodies supplied by Academy Bio-Mediacal they should be stored frozen at - 24°C for long term storage and for short term at + 5°C.
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French translationanticorps
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Gene target
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Gene symbolSDCBP, IFIH1, IL24
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Short nameAnti-MDA (Malondialdehyde) Neat Antiserum
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TechniqueAntibody, antibodies against human proteins, antibodies for
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HostGoat
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Alternative nameGoat Anti-MDA (Malondialdehyde) Neat Antiserum
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Alternative techniqueantibodies
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Gene info
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Identity
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Gene
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Long gene namesyndecan binding protein
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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 year1998-02-11
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Entrez gene record
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Pubmed identfication
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RefSeq identity
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Classification
- PDZ domain containing
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VEGA ID
Gene info
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Identity
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Gene
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Long gene nameinterferon induced with helicase C domain 1
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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 year2004-06-25
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Entrez gene record
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RefSeq identity
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Classification
- RNA helicases
- Caspase recruitment domain containing
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VEGA ID
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Locus Specific Databases
Gene info
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Identity
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Gene
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Long gene nameinterleukin 24
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Synonyms gene
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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 year1999-12-02
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Entrez gene record
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Pubmed identfication
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RefSeq identity
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Classification
- Interleukins
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VEGA ID
MeSH Data
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Name
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ConceptScope note: The initial culturing of cells derived directly from fresh TISSUES.
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Tree numbers
- E01.370.225.500.223.500
- E05.200.500.265.500
- E05.242.223.500
- E05.481.500.249.500
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Qualifiersethics, trends, veterinary, history, classification, economics, instrumentation, methods, standards, statistics & numerical data