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| Chapter title |
Using Cytokine Reporter Mice to Visualize Type-2 Immunity In Vivo
|
|---|---|
| Book title |
Type 2 Immunity
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7896-0_16 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7895-3, 978-1-4939-7896-0
|
| Authors |
Mark Dell’Aringa, R. Lee Reinhardt |
| Abstract |
Type-2 cytokine production plays a critical role in the context of type 2 immunity and allergic inflammation. Interleukin-4 (IL-4) and IL-13 are key modulators of the cell-mediated and humoral immune hallmarks most commonly associated with type-2 immune responses. However, production of these cytokines by lymphocytes and their tissue localization has been difficult to detect in vivo. As such, the field has relied heavily on ex vivo restimulation and in vitro differentiation assays to understand type-2 cytokine biology. Although these studies have greatly informed our understanding of type-2 cytokine regulation, it is becoming increasingly clear that the data does not always provide a true accounting of the complexity of type-2 immune cell biology in vivo. Described below is a protocol used to detect IL-4-competent and protein-producing cells in the lung and lymph nodes of mice after infection with a helminth. Importantly, this protocol has also been used to successfully identify reporter expression and cell function in vivo using various other cytokine-reporter systems. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 50% |
| Student > Bachelor | 1 | 17% |
| Unknown | 2 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 2 | 33% |
| Biochemistry, Genetics and Molecular Biology | 1 | 17% |
| Neuroscience | 1 | 17% |
| Unknown | 2 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 June 2018.
All research outputs
#18,640,437
of 23,092,602 outputs
Outputs from Methods in molecular biology
#7,988
of 13,207 outputs
Outputs of similar age
#330,857
of 442,643 outputs
Outputs of similar age from Methods in molecular biology
#950
of 1,499 outputs
Altmetric has tracked 23,092,602 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,207 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.