Literature DB >> 22982520

ELISA rescue protocol: recovery of sample concentrations from an assay with an unsuccessful standard curve.

Sudha Natarajan1, Daniel G Remick.   

Abstract

The Enzyme-linked Immunosorbant Assay (ELISA) is a method commonly used to measure proteins in various biological matrices, due to its ease of performance and relatively low cost. In order for quantitative data to be generated, a reference standard curve must be prepared for each assay; however, due to investigator error or standard protein degradation, otherwise representative experimental sample data are rendered useless. Herein, we describe a protocol by which sample concentrations can be recovered from assays in which the standard curve fails. The ΔOD values of the experimental samples are used to generate a new standard curve, which is applied back to the original plate. For validation of this method, experimental sample concentrations obtained using acceptable standard curves were potted against those calculated using this new method. Using linear regression analysis, we show a near 1:1 correlation between sample concentrations, with r(2) values between 0.98 and 0.99 and slopes between 0.97 and 1.10. This method demonstrates that assays resulting in unusable standard curves do not require re-assay of all samples. Instead, the experimental sample concentrations can be retrieved saving the investigator the time and resources required to rerun samples or repeat entire experiments.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22982520      PMCID: PMC3604139          DOI: 10.1016/j.ymeth.2012.08.013

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  6 in total

1.  Development and optimization of cytokine ELISAs using commercial antibody pairs.

Authors:  J A Nemzek; J Siddiqui; D G Remick
Journal:  J Immunol Methods       Date:  2001-09-01       Impact factor: 2.303

2.  A method for measuring multiple cytokines from small samples.

Authors:  Kevin A O'Connor; Adelina Holguin; Michael K Hansen; Steven F Maier; Linda R Watkins
Journal:  Brain Behav Immun       Date:  2004-05       Impact factor: 7.217

3.  The repetitive use of samples to measure multiple cytokines: the sequential ELISA.

Authors:  Marcin F Osuchowski; Daniel G Remick
Journal:  Methods       Date:  2006-04       Impact factor: 3.608

4.  Stratification is the key: inflammatory biomarkers accurately direct immunomodulatory therapy in experimental sepsis.

Authors:  Marcin F Osuchowski; Judith Connett; Kathleen Welch; Jill Granger; Daniel G Remick
Journal:  Crit Care Med       Date:  2009-05       Impact factor: 7.598

5.  Sandwich ELISA for detection of picogram quantities of interleukin-8.

Authors:  L E DeForge; D G Remick
Journal:  Immunol Invest       Date:  1991-02       Impact factor: 3.657

6.  Rapid solid-phase enzyme immunoassay for antibodies to viruses and other microbes: effects of polyethylene glycol.

Authors:  E M Salonen; A Vaheri
Journal:  J Immunol Methods       Date:  1981       Impact factor: 2.303

  6 in total
  1 in total

1.  A computational solution to improve biomarker reproducibility during long-term projects.

Authors:  Feng Feng; Morgan P Thompson; Beena E Thomas; Elizabeth R Duffy; Jiyoun Kim; Shinichiro Kurosawa; Joseph Y Tashjian; Yibing Wei; Chris Andry; D J Stearns-Kurosawa
Journal:  PLoS One       Date:  2019-04-17       Impact factor: 3.240

  1 in total

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