Antibody Optimization
Antibody Optimization - Related Videos
06:34
An Optimized Hemagglutination Inhibition (HI) Assay to Quantify Influenza-specific Antibody Titers
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Cited by 74 •
2017
The presented protocols describe how to perform a hemagglutination inhibition assay to quantify influenza-specific antibody titers from serum samples of influenza vaccine recipients. The first assay determines optimal viral antigen concentrations by hemagglutination. The second assay quantifies influenza-specific antibody titers by hemagglutination inhibition.
12:55
Scalable High Throughput Selection From Phage-displayed Synthetic Antibody Libraries
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Cited by 33 •
2015
A method is described with visual accompaniment for conducting scalable, high throughput selections from phage-displayed combinatorial synthetic antibody libraries against hundreds of antigens simultaneously. Using this parallel approach, we have isolated antibody fragments that exhibit high affinity and specificity for diverse antigens that are functional in standard immunoassays.
13:21
Antibody Generation: Producing Monoclonal Antibodies Using Hybridomas
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2023
Source: Frances V. Sjaastad1,2, Whitney Swanson2,3, and Thomas S. Griffith1,2,3,4 1 Microbiology, Immunology, and Cancer Biology Graduate Program, University of Minnesota, Minneapolis, MN 55455 2 Center for Immunology, University of Minnesota, Minneapolis, MN 55455 3 Department of Urology, University of Minnesota, Minneapolis, MN 55455 4 Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455 Polyclonal antibodies are defined as a collection of antibodies directed against...
01:10
Antibody Structure
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2019
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...
03:37
Optimal Foraging - Concepts
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2019
Optimal Foraging Organisms must acquire and use resources in their environment to survive. While food is one of the primary resources organisms must search for, individuals also need to seek habitats, shelter, and mates. This process of searching for resources is known as foraging, which involves a series of costs and benefits. More specifically, acquiring a resource provides the organism with a benefit, however, searching and capturing the resource requires expenditure of time and energy.
FAQs
These approaches refine the antibody variable regions that determine target recognition. Affinity maturation focuses on improving how strongly the molecule binds its target, while rational protein engineering applies deliberate design changes to improve properties such as specificity, stability, expression, or overall therapeutic performance. In cancer research, these refinements can help antibodies recognize tumor-associated antigens more selectively.
The Fc region can be adjusted to influence antibody effector functions, including interactions that support immune-cell recruitment. This adds a functional design layer beyond target binding, allowing researchers to consider how an antibody may engage immune mechanisms after recognizing a cancer-associated target. Fc refinement therefore contributes to the development of antibody-based immunotherapies with intended immune activity.
Variable-region engineering primarily addresses target binding and specificity, whereas Fc-region adjustment influences downstream effector functions and immune-cell recruitment. Separating these design goals helps researchers refine recognition of tumor-associated antigens while also controlling how the antibody functions after binding. Considering both regions is important when developing molecules intended for therapeutic, diagnostic, or immunotherapeutic use.
A useful evaluation considers binding, specificity, stability, expression, and therapeutic performance rather than relying on a single measurement. Researchers can also examine whether the antibody remains active under physiological conditions and avoids unwanted interactions. Reviewing these properties together helps identify designs that are not only effective at recognizing a target but also suitable for further cancer research development.
For antibody-drug conjugates, optimization can support selective recognition of tumor-associated antigens and improve the molecular properties needed for therapeutic development. Stronger specificity may help researchers distinguish intended cancer targets from unwanted interactions, while stability and expression affect the practicality of producing and evaluating candidate antibodies. These refinements support the design and assessment of targeted cancer interventions.
Optimized molecules can serve as diagnostic reagents or components of immunotherapies, in addition to their use as therapeutic antibodies. Improved binding and specificity can help researchers detect or characterize tumor-associated targets, while consistent performance under physiological conditions supports experimental evaluation. These capabilities allow antibody designs to contribute to treatment-response studies and the development of more effective cancer interventions.