Literature DB >> 32000910

Enzyme-linked immunospot assay to monitor antigen-specific cellular immune responses in mouse tumor models.

Donatella Negri1, Paola Sestili2, Martina Borghi3, Maria Ciccolella4, Laura Bracci5.   

Abstract

Critical to the advancement of tumor immunotherapy is the reliable identification of responders and the quantification of the tumor-specific immune response elicited by treatments. In this regard, Enzyme-Linked Immunospot assay (ELISpot) is an ideal monitoring technique due to its high sensitivity, ease of execution and cost-effectiveness. Originally developed for the enumeration of B cells secreting antigen-specific antibodies, ELISpot assay has been adapted to detect and quantify cytokine-secreting immune cells present at low frequency in a variety of biological samples, including blood, in response to antigen-specific stimuli. The above-mentioned features emphasize the role of ELISpot as valuable assay for translational research and clinical applications. In the present chapter, we will focus on the use of ELISpot assay for monitoring the tumor-specific effector responses induced by different treatments in preclinical models and will provide some protocols and technical hints for its application.
© 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Blood samples; ELISpot; IFNγ; Immune response; Protocol

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Year:  2019        PMID: 32000910     DOI: 10.1016/bs.mie.2019.05.058

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  2 in total

1.  Development of an in-house SARS-CoV-2 interferon-gamma ELISpot and plate reader-free spot detection method.

Authors:  Willem A Mak; Johannes G M Koeleman; David S Y Ong
Journal:  J Virol Methods       Date:  2021-12-01       Impact factor: 2.014

2.  Tumor-Intrinsic or Drug-Induced Immunogenicity Dictates the Therapeutic Success of the PD1/PDL Axis Blockade.

Authors:  Alessandra Rossi; Valeria Lucarini; Iole Macchia; Paola Sestili; Carla Buccione; Simona Donati; Maria Ciccolella; Antonella Sistigu; Maria Teresa D'Urso; Anna Maria Pacca; Enrico Cardarelli; Fabrizio Mattei; Enrico Proietti; Giovanna Schiavoni; Laura Bracci
Journal:  Cells       Date:  2020-04-10       Impact factor: 6.600

  2 in total

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