Development of a Sensitive Enzyme-Linked Immunosorbent Assay with Three Amplification Antibodies to Detect Low-Abundant Mouse Antibodies in the Mouse Central Nervous System

  • Shan H
  • Schwab M
  • Maurer M
1Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.

Abstract

Recombinant Abs are gaining increasing importance for the treatment of certain cancers or immunological or neurologic disorders. The ELISA is one of the most used analytical tools for detecting and quantifying Abs of interest. However, the performance of ELISAs often varies because of nonstandard experimental procedures as well as inadequate data analysis. In our study, we standardized a procedure and statistical analysis for a highly sensitive ELISA of a mouse Ab in mouse (C57BL/6J) CNS tissue. The following steps are of crucial importance: 1) calculation of the limit of detection based on control tissue lysate samples in the same testing buffer as the testing samples; 2) calculation of the limit of quantification as measured with acceptable accuracy and precision; and 3) a five-parameter logistic regression model to interpolate the symmetric and asymmetric standard curves. We also show that three amplification Abs can significantly increase the sensitivity of the ELISA compared with a two amplification Ab setup. This standardized procedure may be a valuable tool to increase the sensitivity, reproducibility, and precision of ELISA studies in basic science and translational research.

Cite

CITATION STYLE

APA

Shan, H.-M., Schwab, M. E., & Maurer, M. A. (2023). Development of a Sensitive Enzyme-Linked Immunosorbent Assay with Three Amplification Antibodies to Detect Low-Abundant Mouse Antibodies in the Mouse Central Nervous System. The Journal of Immunology, 210(7), 1004–1010. https://doi.org/10.4049/jimmunol.2200893

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free