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Innate Immune Activation

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Cover of 'Innate Immune Activation'

Table of Contents

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    Book Overview
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    Chapter 1 Emerging Concepts in Innate Immunity
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    Chapter 2 Bioinformatic Assessment of Macrophage Activation by the Innate Immune System
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    Chapter 3 Generation of Genetic Knockouts in Myeloid Cell Lines Using a Lentiviral CRISPR/Cas9 System
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    Chapter 4 Modeling Primary Human Monocytes with the Trans–Differentiation Cell Line BLaER1
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    Chapter 5 Measurement of NF-κB Activation in TLR-Activated Macrophages
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    Chapter 6 Biochemical Isolation of the Myddosome from Murine Macrophages
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    Chapter 7 Generation of Innate Immune Reporter Cells Using Retroviral Transduction
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    Chapter 8 Examining Myddosome Formation by Luminescence-Based Mammalian Interactome Mapping (LUMIER)
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    Chapter 9 Inflammatory Caspases: Activation and Cleavage of Gasdermin-D In Vitro and During Pyroptosis
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    Chapter 10 Detection of ASC Speck Formation by Flow Cytometry and Chemical Cross-linking
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    Chapter 11 Measuring Innate Immune Responses to Bacterial Viability
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    Chapter 12 Methods to Study Cell Swelling-Induced Inflammasome Activation
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    Chapter 13 Detecting Release of Bacterial dsDNA into the Host Cytosol Using Fluorescence Microscopy
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    Chapter 14 Quantitative Proteomics of Secreted Proteins
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    Chapter 15 Simultaneous Detection of Cellular Viability and Interleukin-1β Secretion from Single Cells by ELISpot
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    Chapter 16 Detection and Quantification of MAVS Aggregation via Confocal Microscopy
Attention for Chapter 4: Modeling Primary Human Monocytes with the Trans–Differentiation Cell Line BLaER1
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Chapter title
Modeling Primary Human Monocytes with the Trans–Differentiation Cell Line BLaER1
Chapter number 4
Book title
Innate Immune Activation
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7519-8_4
Pubmed ID
Book ISBNs
978-1-4939-7518-1, 978-1-4939-7519-8
Authors

Moritz M. Gaidt, Francesca Rapino, Thomas Graf, Veit Hornung

Abstract

Monocytes and macrophages play a pivotal role in the induction and shaping of immune responses. Expressing a broad array of pattern recognition receptors (PRRs), monocytes and macrophages constitute an integral component of the innate branch of the immune system. Traditionally, the majority of innate immune sensing and signaling pathways have been studied in macrophages of the murine system. This is largely due to the fact that genetic loss-of-function studies are amenable in this species. On the other hand, human cell lines of the monocyte-macrophage cell lineage have been widely used to study myeloid cells in vitro. However, commonly utilized models (e.g., THP-1 cells) only mimic a limited spectrum of the immunobiology of primary human myeloid cells. Recently, we have explored the possibility to fill this gap with a human trans-differentiation cell culture system, in which lineage conversion from malignant B-lineage cells to monocytes/macrophages is caused by the inducible nuclear translocation of a C/EBPα transgene, BLaER1 cells. Using this model, we were able to characterize a novel inflammasome signaling entity that could not have been uncovered in the murine system or THP-1 cells. Here, we describe the handling of BLaER1 cells, providing a detailed protocol for their induced trans-differentiation. We also provide data to demonstrate the applicability of the BLaER1 monocyte/macrophage system to study phagocytosis and various PRR cascades in human cells.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 26%
Researcher 7 15%
Student > Doctoral Student 3 7%
Student > Bachelor 3 7%
Other 3 7%
Other 6 13%
Unknown 12 26%
Readers by discipline Count As %
Immunology and Microbiology 12 26%
Biochemistry, Genetics and Molecular Biology 9 20%
Agricultural and Biological Sciences 4 9%
Medicine and Dentistry 4 9%
Arts and Humanities 1 2%
Other 3 7%
Unknown 13 28%