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Related Concept Videos

Antibody Structure01:10

Antibody Structure

65.1K
Overview
Antibodies, also known as immunoglobulins (Ig), are essential players of the adaptive immune system. These antigen-binding proteins are produced by B cells and make up 20 percent of the total blood plasma by weight. In mammals, antibodies fall into five different classes, which each elicits a different biological response upon antigen binding.
The Y-Shaped Structure of Antibodies Consists of Four Polypeptide Chains
Antibodies consist of four polypeptide chains: two identical heavy...
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Antibody Structure and Classes01:25

Antibody Structure and Classes

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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.
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Antibody Actions01:26

Antibody Actions

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Antibodies, or immunoglobulins, are critical players in the immune system's arsenal against invading pathogens. Produced by B cells and plasma cells, their primary role is to detect and bind to specific antigens, molecules found on the surface of pathogens like bacteria or viruses. Beyond antigen recognition, antibodies perform several vital functions that contribute to immune defense.
Neutralization
Antibodies can bind to pathogens, preventing them from infecting host cells. This process...
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Related Experiment Video

Updated: Dec 25, 2025

Characterization of Thymus-dependent and Thymus-independent Immunoglobulin Isotype Responses in Mice Using Enzyme-linked Immunosorbent Assay
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Characterization of Thymus-dependent and Thymus-independent Immunoglobulin Isotype Responses in Mice Using Enzyme-linked Immunosorbent Assay

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Antibody characterization using immunosignatures.

Phillip Stafford1, Stephen Albert Johnston2, Orhun H Kantarci3

  • 1Department of Bioinformatics, Caris Life Sciences, Phoenix, Arizona, United States of America.

Plos One
|March 21, 2020
PubMed
Summary
This summary is machine-generated.

Polyspecific binding antibodies, identified using random peptide microarrays, demonstrate greater therapeutic activity. This unbiased method may reveal unknown characteristics of effective therapeutic monoclonal antibodies.

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Area of Science:

  • Biochemistry
  • Immunology
  • Biotechnology

Background:

  • Therapeutic monoclonal antibodies (mAbs) are crucial biological therapeutics, with examples like OKT3, Herceptin, and Keytruda significantly impacting healthcare.
  • While natural antibodies possess high specificity and affinity, potentially missing characteristics may contribute to therapeutic efficacy.
  • Assessing antibodies through unbiased methods could uncover novel insights into their therapeutic potential.

Purpose of the Study:

  • To develop and validate an unbiased method for measuring antibody properties using random peptide microarrays.
  • To investigate the relationship between antibody binding patterns on peptide arrays and their therapeutic activity.
  • To identify potential protein targets for therapeutic monoclonal antibodies based on peptide binding motifs.

Main Methods:

  • Utilized random peptide microarrays to assess binding properties of twenty-four commercial antibodies.
  • Tested twenty-one monoclonal antibodies (13 mouse, 8 human IgM) with known (but blinded) therapeutic activity.
  • Analyzed binding patterns on peptide arrays, including preferences for peptide length and motif location (N-term/C-term).

Main Results:

  • Antibodies exhibited diverse binding patterns on random peptide arrays, with variations in peptide length and motif preferences.
  • A correlation was observed between polyspecific binding patterns and higher therapeutic activity.
  • Predicted potential protein targets for therapeutic mAbs by identifying common sequence motifs in bound peptides, with consistent top candidates across mouse and human antibodies.

Conclusions:

  • Polyspecificity in antibody binding, as detected by random peptide arrays, is associated with significant therapeutic activity.
  • Random peptide microarrays offer an unbiased approach to characterize antibodies and may aid in discovering novel therapeutic targets.
  • This method holds promise for identifying and characterizing effective therapeutic monoclonal antibodies, even when their specific targets are unknown.