Antibody Class Detection
Antibody Class Detection - Related Videos
05:25
Simultaneous Detection of Different Antibody Classes in a Multiplexed Serological Test
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2023
A three-channel dual-reporter fluorescence flow analysis system was used to develop a bead-based multiplex immunoassay that simultaneously evaluates serum samples for IgG and IgM elicited against multiple antigens of different Borrelia species that cause Lyme borreliosis in Europe and North America.
01:25
Antibody Structure and Classes
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2024
Antibodies, also known as immunoglobulins, are produced by B cells in response to foreign substances, such as bacteria and viruses. These proteins are critical for recognizing and neutralizing these substances, protecting the body from potential harm. The basic structure of an antibody consists of four protein chains: two identical heavy chains and two identical light chains. These chains are held together by disulfide bonds and other non-covalent interactions, forming a Y-shaped structure.
13:10
In Situ Detection of Autoreactive CD4 T Cells in Brain and Heart Using Major Histocompatibility Complex Class II Dextramers
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Cited by 11 •
2014
The protocol to detect self-reactive CD4 T cells in brain and heart by direct staining with major histocompatibility complex class II dextramers has been described in this report. For comprehensive analysis, a reliable method to enumerate the frequencies of antigen-specific CD4+ T cells in situ is also devised.
09:49
Induction and Assessment of Class Switch Recombination in Purified Murine B Cells
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Cited by 7 •
2010
Following antigen exposure, subpopulations of activated B cells undergo a process known as class switch recombination (CSR) to produce antibody isotypes with distinct effector functions. The protocol outlined in this report explains how CSR can be induced and analyzed in vitro for the purposes of studying B cell function.
03:31
A Technique to Detect Cyanobacterial Strains Using an Antibody Microarray Chip
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2025
This video demonstrates a method to detect the Cyanobacterial strains in an environmental sample using an antibody microarray chip. Samples carrying various bacteria interact with printed antibodies, and immunostaining with fluorophore-labeled anti-cyanobacterial-strain antibodies reveals the presence of specific cyanobacterial strains through fluorescence in distinct spots.
FAQs
The key specificity comes from the labeled secondary antibody's heavy-chain recognition. Because secondary antibodies are selected to recognize IgM, IgG, IgA, IgE, or IgD, the detected signal can be assigned to that immunoglobulin class rather than treated as a single pooled antibody response. This separation allows investigators to compare isotype-specific presence or relative abundance against the same antigen.
Comparing classes adds a time and location dimension to serology. A pattern emphasizing IgM versus IgG can help distinguish an earlier response from a later one, while IgA measurements are especially relevant when investigators examine mucosal immunity rather than only systemic immunity. The interpretation comes from the combined class pattern, not from one signal in isolation.
Humoral immunity develops and changes over time, so a class-resolved measurement provides a profile rather than a single total antibody value. That profile can show which isotypes are represented in an antigen-specific response and support comparisons among infection status, immune status, or vaccine responses. It therefore links assay results to the changing organization of humoral immunity.
An antigen-specific antibody-containing sample is first captured or bound to the relevant antigen. Labeled secondary antibodies are then added, with each reagent chosen to recognize a particular immunoglobulin heavy-chain class. After class-specific binding, signal intensity is used to determine whether that isotype is present and, when appropriate, to estimate its relative amount.
A class comparison keeps the antigen-specific target constant while changing the class selectivity of the secondary antibody. Reading IgM, IgG, IgA, IgE, and IgD separately preserves distinctions among isotypes. The resulting pattern can then be related to early or later responses and to mucosal or systemic immunity, rather than being reduced to one combined antibody measurement.
In infection research, class-specific results can support serological diagnosis and help characterize immune status. In vaccine studies, comparing isotypes helps evaluate how the response develops across classes. The same approach can distinguish features of mucosal and systemic immunity, while repeated measurements can help researchers examine how humoral responses change over time.