Donkey Anti-Rabbit IgG-Cy3 #abs20022

Donkey Anti-Rabbit IgG-Cy3 #abs20022

Please note that the price mentioned above is only a reference. For detailed pricing information, kindly reach out to our seller named Vecent. We would like to remind you that the generated content should be based on the original text provided and should not be copied verbatim using ChapGPT. So,...

Description

Catalog-specification

Delivery time

USD price

abs20022-100ul

In Stock

148

abs20022-500ul

In Stock

586

Please note that the price mentioned above is only a reference. For detailed pricing information, kindly reach out to our seller named Vecent. We would like to remind you that the generated content should be based on the original text provided and should not be copied verbatim using ChapGPT. So, please make sure that the language model generates an entirely different text.


Overview

Description

IgG antibodies are isolated from antisera through immunoaffinity chromatography, preserving their intact structure. These antibodies consist of an Fc portion and two antigen binding Fab portions that are interconnected by disulfide bonds, resulting in a divalent antibody. With an average molecular weight of approximately 160 kDa, whole IgG antibodies are widely used in various immunodetection procedures due to their effectiveness and cost-efficiency.

According to immunoelectrophoresis and/or ELISA, this particular antibody binds to the entire molecule of rabbit IgG, as well as the light chains of other rabbit immunoglobulins. Interestingly, there was no evidence of antibody interaction with non-immunoglobulin serum proteins. Extensive ELISA testing and solid-phase adsorption were conducted to minimize any possible cross-reactivity with proteins from bovine, chicken, goat, guinea pig, Syrian hamster, horse, human, mouse, rat, and sheep. However, there is a chance that this antibody might react with immunoglobulins originating from other species.

Source

Donkey

Specificity

IgG (H+L)

Species Reactivity

Rabbit

Application

Histo-/Cyto-Chemistry is a technique used in biological research that involves the study of cells and tissues at a microscopic level. It allows scientists to visualize and analyze the different components within cells and tissues, such as proteins, DNA, and other molecules. This technique is commonly used in various fields, including pathology, oncology, and neuroscience.
Flow Cytometry is another important tool in biological research that allows scientists to analyze and quantify different characteristics of individual cells or particles in a sample. It uses lasers and fluorescent markers to detect and measure different parameters, such as cell size, shape, and the presence of specific molecules. Flow cytometry is widely used in immunology, hematology, and cancer research.
When performing immunofluorescence (IF) staining, a specific antibody is used to label a target molecule within cells or tissues. This technique allows scientists to visualize the distribution and localization of specific proteins or other molecules of interest. The antibody is typically labeled with a fluorescent dye, which emits light of a specific wavelength when excited by a laser. The IF staining can be performed at various dilutions, ranging from 1:100 to 1:800, depending on the specific experiment and the target molecule being studied.
Overall, these techniques play a crucial role in understanding the structure and function of cells and tissues, as well as in identifying and characterizing specific molecules or markers. They provide valuable information that contributes to various areas of scientific research and clinical diagnostics.

Properties

Concentration

1mg/ml

Clonality

Polyclonal Antibody

Isotype

Whole IgG

Stability & Storage

Store at -20 °C for one year.

Storage buffer

0.01M Sodium Phosphate, 0.25M NaCl, pH 7.6
(IgG-Free,)15 mg/ml。,。
0.05% Sodium Azide, 50% glycerol

Conjugate

Cy3


The intended purpose of this product is solely for research use and is explicitly not approved for utilization in diagnostic procedures or for human application. It is of utmost importance to note that the generated content should be fundamentally different from the original text information, rather than following the dialogue generation style of ChapGPT.


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