Specificity Analysis
Specificity Analysis - Related Videos
09:47
Analysis of Histone Antibody Specificity with Peptide Microarrays
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Cited by 22 •
2017
This manuscript describes methods for applying peptide microarray technology to specificity profiling of antibodies that recognize histones and their post-translational modifications.
09:31
Heterokaryon Technique for Analysis of Cell Type-specific Localization
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Cited by 1 •
2011
A flexible and efficient method for the characterization of cell type-specific protein localization and nucleocytoplasmic shuttling is described. This heterokaryon approach uses fluorescently-labeled fusion proteins to image protein localizations after cell fusion. The protocol is amenable to steady-state localizations or more dynamic determinations based on live cell imaging.
11:25
Cell Specific Analysis of Arabidopsis Leaves Using Fluorescence Activated Cell Sorting
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Cited by 21 •
2012
A method for producing Arabidopsis leaf protoplasts that are compatible with fluorescence activated cell sorting (FACS), allowing for studies of specific cell populations. This method is compatible with any Arabidopsis line that expresses GFP in a subset of cells.
08:46
Analysis and Specification of Starch Granule Size Distributions
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Cited by 2 •
2021
Presented here is a procedure for reproducible and statistically valid determinations of starch granule size distributions, and for specifying the determined granule lognormal size distributions using a two-parameter multiplicative form. It is applicable to all granule sizing analyses of gram-scale starch samples for plant and food science research.
06:20
An Assay for Cell Cycle Analysis of Antigen-Specific CD8+ T Cells
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2025
This video demonstrates an assay to analyze antigen-specific CD8+ T cells in different cell cycle stages. Fluorescently-labeled viable cells are selected using flow cytometry, and the cells in the different cell cycle stages are identified by their DNA content using antibodies against cell proliferation-associated nuclear protein and a nucleic acid stain.
FAQs
Recognition depends on complementary interactions between a molecular target and its binding partner. For antibodies, the relevant pairing involves an epitope, the portion of an antigen that is recognized, and the antibody binding site. For T cells, analysis considers peptide–MHC complexes and T-cell receptors. Examining these pairings helps explain why an immune response favors one antigen over related targets.
Cross-reactivity can make an antibody, assay, or diagnostic marker react with related antigens rather than only the intended target. Comparing responses against related targets helps reveal whether observed reactivity reflects pathogen-specific recognition or broader binding. This distinction is important when interpreting immune responses and when deciding how confidently a result represents exposure to a particular infectious agent.
The recognition components differ between these immune responses. Antibody-focused analysis examines binding to antigenic epitopes, whereas T-cell analysis evaluates recognition of peptide–MHC complexes by T-cell receptors. Considering these systems separately helps researchers interpret whether selectivity arises from antibody binding or cellular antigen recognition, which is relevant when characterizing immunity produced by infection or vaccination.
A typical comparison measures reactivity toward the intended antigen alongside responses to related or control antigens. The pattern across these targets indicates whether recognition is selective or extends beyond the intended antigen. This approach provides the basis for distinguishing pathogen-specific responses from cross-reactivity and supports more careful interpretation of assay or immune-response findings.
In serology, examining reactivity against intended and related antigens helps determine whether a measured response reflects the pathogen of interest. Greater selectivity strengthens interpretation of the result, while recognition of related targets can complicate it. Applying this analysis during diagnostic-marker evaluation helps assess diagnostic accuracy and supports more reliable interpretation of immune measurements.
Responses generated by vaccination or infection can be examined for selective recognition of relevant antigens and for reactivity toward related targets. This information helps characterize the quality of the induced immune response rather than treating every detected signal as equally informative. The findings also support biomarker validation and the interpretation of immune protection in immunology and infection research.