Literature DB >> 21956507

How ELISPOT morphology reflects on the productivity and kinetics of cells' secretory activity.

Alexey Y Karulin1, Paul V Lehmann.   

Abstract

Over the past decade, ELISPOT has become well-established as a mainstream technology for the study of immune responses in vivo mainly due to its unique ability to detect rare antigen-specific lymphocytes ex vivo. The primary readout for ELISPOT assays has traditionally been the measurement of the frequency of analyte-secreting cells within a test population. While it has been generally appreciated that ELISPOT is a high-information-content assay system in which spot morphologies provide additional valuable information on the amount of analyte secreted by individual cells as well as the kinetics of the secretory process, the precise relationships involved have not been fully characterized and the specific relevant information -conveyed by spot morphologies has remained largely unexplored. In an attempt to bridge this gap, we formulated an in silico kinetic model for spot formation and derived a solution for the model in both a general and a numerical form. Both solutions suggested a logarithmic relationship between spot size and cell productivity. This chapter involves an in-depth analysis of the relationship between observed spot morphologies and cells' secretory functions (as well as an examination of additional assay parameters), and predictions based on the mathematical model are verified under experimental assay conditions where possible.

Mesh:

Substances:

Year:  2012        PMID: 21956507     DOI: 10.1007/978-1-61779-325-7_11

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  6 in total

1.  High Reproducibility of ELISPOT Counts from Nine Different Laboratories.

Authors:  Srividya Sundararaman; Alexey Y Karulin; Tameem Ansari; Nadine BenHamouda; Judith Gottwein; Sreenivas Laxmanan; Steven M Levine; John T Loffredo; Stephanie McArdle; Christine Neudoerfl; Diana Roen; Karina Silina; Mackenzie Welch; Paul V Lehmann
Journal:  Cells       Date:  2015-01-09       Impact factor: 6.600

2.  Reagent Tracker Dyes Permit Quality Control for Verifying Plating Accuracy in ELISPOT Tests.

Authors:  Alexander Lehmann; Zoltan Megyesi; Anna Przybyla; Paul V Lehmann
Journal:  Cells       Date:  2018-01-03       Impact factor: 6.600

3.  Characterization of the HCMV-Specific CD4 T Cell Responses that Are Associated with Protective Immunity.

Authors:  Marie Wunsch; Wenji Zhang; Jodi Hanson; Richard Caspell; Alexey Y Karulin; Mascha S Recks; Stefanie Kuerten; Srividya Sundararaman; Paul V Lehmann
Journal:  Viruses       Date:  2015-08-06       Impact factor: 5.048

4.  Memory T cell proliferative responses and IFN-γ productivity sustain long-lasting efficacy of a Cap-based PCV2 vaccine upon PCV2 natural infection and associated disease.

Authors:  Luca Ferrari; Paolo Borghetti; Elena De Angelis; Paolo Martelli
Journal:  Vet Res       Date:  2014-04-16       Impact factor: 3.683

5.  The Correlation between the Virus- and Brain Antigen-Specific B Cell Response in the Blood of Patients with Multiple Sclerosis.

Authors:  Marie Wunsch; Christopher Hohmann; Bianca Milles; Christina Rostermund; Paul V Lehmann; Michael Schroeter; Antonios Bayas; Jochen Ulzheimer; Mathias Mäurer; Süleyman Ergün; Stefanie Kuerten
Journal:  Viruses       Date:  2016-04-23       Impact factor: 5.048

6.  Delayed Activation Kinetics of Th2- and Th17 Cells Compared to Th1 Cells.

Authors:  Andrea Duechting; Anna Przybyla; Stefanie Kuerten; Paul V Lehmann
Journal:  Cells       Date:  2017-09-12       Impact factor: 6.600

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.