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Sequential ELISA to profile multiple cytokines from small volumes
Marcin F Osuchowski1, Javed Siddiqui, Shannon Copeland
1Department of Pathology, University of Michigan, 1301 Catherine Road, Ann Arbor, Michigan 48109, USA.
Journal of Immunological Methods
|July 19, 2005
Summary
This study introduces a sequential enzyme-linked immunosorbent assay (ELISA) method. This technique allows measuring multiple inflammatory cytokines from small blood volumes, overcoming limitations in mouse models.
Area of Science:
- Biomedical Science
- Immunology
- Assay Development
Background:
- Enzyme-linked immunosorbent assay (ELISA) is crucial for measuring inflammatory cytokines.
- Limited blood volume in mouse models restricts the number of cytokines measurable by traditional ELISA.
- Repeated sampling is often necessary to track inflammatory processes, further straining limited blood volumes.
Purpose of the Study:
- To develop a sequential ELISA protocol to increase the number of measurable cytokines from small plasma volumes.
- To enable multiple cytokine measurements from a single blood sample, reducing the need for repeated collections.
- To provide a cost-effective alternative to advanced methods for cytokine analysis.
Main Methods:
- Implementation of a sequential ELISA protocol allowing sample reuse.
- Assaying up to fifteen cytokines in five consecutive cycles from an initial 20 µL plasma volume.
- Prioritizing unstable cytokines for initial assay cycles to prevent sample deterioration.
Main Results:
- Successful measurement of up to fifteen cytokines from a single, small plasma sample.
- Demonstrated no inter-assay interference or sample degradation across five consecutive cycles.
- Validated the protocol using commercially available antibody pairs.
Conclusions:
- The sequential ELISA protocol significantly enhances cytokine analysis efficiency from limited sample volumes.
- This method offers a cost-effective and practical alternative for monitoring inflammatory processes in research settings.
- The protocol shows potential for adaptation to measure other inflammation-related targets.