Real-Time PCR Assay for the Analysis of Alternative Splicing of Immune Mediators in Cancer.


Journal

Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969

Informations de publication

Date de publication:
2020
Historique:
entrez: 16 1 2020
pubmed: 16 1 2020
medline: 28 1 2021
Statut: ppublish

Résumé

Alternative splicing evolved as a very efficient way to generate proteome diversity and to regulate cell homeostasis from a limited number of genes. Moreover, changes in the relative amounts of different splice variants derived from the same pre-mRNA are a hallmark in cancer, and aberrant expression of alternatively spliced mRNAs has been linked to cancer initiation and progression. Therefore, splice variants are critical tools to assess disease progression and clinical prognosis, and hold great promise as potential targets for therapeutic intervention. In order to understand the role that such splice variants play in cancer, it is vital to be able to accurately quantify their expression levels in different cell types and organs, both in normal conditions and in disease. In this chapter we describe a protocol to efficiently detect, analyze, and quantify alternative splicing patterns of immune mediators such as chemokines, cytokine and their receptors and ligands in cancer by quantitative PCR.

Identifiants

pubmed: 31939186
doi: 10.1007/978-1-0716-0247-8_21
doi:

Substances chimiques

Cytokines 0

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

241-258

Subventions

Organisme : NIGMS NIH HHS
ID : R15 GM119099
Pays : United States

Auteurs

Ruizhi Wang (R)

Department of Biological Sciences, St. John's University, Queens, NY, USA.

Md Faruk Hossain (MF)

Department of Biological Sciences, St. John's University, Queens, NY, USA.

Jovan Mirkovic (J)

Department of Biological Sciences, St. John's University, Queens, NY, USA.

Samuel Sabzanov (S)

Department of Biological Sciences, St. John's University, Queens, NY, USA.

Matteo Ruggiu (M)

Department of Biological Sciences, St. John's University, Queens, NY, USA. ruggium@stjohns.edu.

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Classifications MeSH