IgG (H+L) Cross-Adsorbed Chicken anti-Goat, Alexa Fluor™ 647, Invitrogen™
Chicken Polyclonal Secondary Antibody
Manufacturer: Invitrogen A21469
This Chicken anti-goat antibody reacts with IgG heavy chains and all classes of immunoglobulin light chains from goat. Chicken secondary antibodies have gained popularity because they demonstrate a lower level of nonspecific binding. Chicken antibodies lack a classic “Fc” domain and will not bind to protein A or protein G, nor will they bind to mammalian IgG Fc receptors. Fluorescence of this long-wavelength Alexa Fluor dye is not visible by looking through a conventional fluorescence microscope.Anti-Goat secondary antibodies are affinity-purified antibodies with well-characterized specificity for goat immunoglobulins and are useful in the detection, sorting or purification of its specified target. Secondary antibodies offer increased versatility enabling users to use many detection systems (e.g. HRP, AP, fluorescence). They can also provide greater sensitivity through signal amplification as multiple secondary antibodies can bind to a single primary antibody. Most commonly, secondary antibodies are generated by immunizing the host animal with a pooled population of immunoglobulins from the target species and can be further purified and modified (i.e. immunoaffinity chromatography, antibody fragmentation, label conjugation, etc.) to generate highly specific reagents.
|Goat IgG (H+L) Cross-Adsorbed|
|Alexa Fluor™ 647|
|Gamma Immunoglobins Heavy and Light chains|
|Immunocytochemistry, Immunofluorescence, Immunohistochemistry|
|PBS with 5mM sodium azide; pH 7.5|
|4° C, store in dark|
The Fisher Scientific Encompass Program offers items which are not part of our distribution portfolio. These products typically do not have pictures or detailed descriptions. However, we are committed to improving your shopping experience. Please use the form below to provide feedback related to the content on this product.
Your feedback has been submitted. Fisher Scientific is always working to improve our content for you. We appreciate your feedback.Ok