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Protocol for cytokine and uterine immune cell characterization in a mouse model of LPS-induced preterm birth
Inflammation-driven preterm birth (PTB) is modeled in mice using lipopolysaccharide (LPS) challenge. Here, we present a protocol for cytokine and uterine immune cell characterization in a mouse model of LPS-induced PTB. We describe steps for LPS challenge, in vivo cytokine capture assay, and isolati...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10594632/ https://www.ncbi.nlm.nih.gov/pubmed/37858473 http://dx.doi.org/10.1016/j.xpro.2023.102643 |
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author | Wayland, Jennifer L. Stemen, Emma L. Doll, Jessica R. Divanovic, Senad |
author_facet | Wayland, Jennifer L. Stemen, Emma L. Doll, Jessica R. Divanovic, Senad |
author_sort | Wayland, Jennifer L. |
collection | PubMed |
description | Inflammation-driven preterm birth (PTB) is modeled in mice using lipopolysaccharide (LPS) challenge. Here, we present a protocol for cytokine and uterine immune cell characterization in a mouse model of LPS-induced PTB. We describe steps for LPS challenge, in vivo cytokine capture assay, and isolation of uterine immune cells for flow cytometry. These techniques allow examination of systemic inflammation in vivo and immune cell characterization at the maternal-fetal interface, facilitating exploration of inflammatory dynamics in mouse models of PTB susceptibility. For complete details on the use and execution of this protocol, please refer to Doll et al.(1) |
format | Online Article Text |
id | pubmed-10594632 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-105946322023-10-25 Protocol for cytokine and uterine immune cell characterization in a mouse model of LPS-induced preterm birth Wayland, Jennifer L. Stemen, Emma L. Doll, Jessica R. Divanovic, Senad STAR Protoc Protocol Inflammation-driven preterm birth (PTB) is modeled in mice using lipopolysaccharide (LPS) challenge. Here, we present a protocol for cytokine and uterine immune cell characterization in a mouse model of LPS-induced PTB. We describe steps for LPS challenge, in vivo cytokine capture assay, and isolation of uterine immune cells for flow cytometry. These techniques allow examination of systemic inflammation in vivo and immune cell characterization at the maternal-fetal interface, facilitating exploration of inflammatory dynamics in mouse models of PTB susceptibility. For complete details on the use and execution of this protocol, please refer to Doll et al.(1) Elsevier 2023-10-19 /pmc/articles/PMC10594632/ /pubmed/37858473 http://dx.doi.org/10.1016/j.xpro.2023.102643 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Wayland, Jennifer L. Stemen, Emma L. Doll, Jessica R. Divanovic, Senad Protocol for cytokine and uterine immune cell characterization in a mouse model of LPS-induced preterm birth |
title | Protocol for cytokine and uterine immune cell characterization in a mouse model of LPS-induced preterm birth |
title_full | Protocol for cytokine and uterine immune cell characterization in a mouse model of LPS-induced preterm birth |
title_fullStr | Protocol for cytokine and uterine immune cell characterization in a mouse model of LPS-induced preterm birth |
title_full_unstemmed | Protocol for cytokine and uterine immune cell characterization in a mouse model of LPS-induced preterm birth |
title_short | Protocol for cytokine and uterine immune cell characterization in a mouse model of LPS-induced preterm birth |
title_sort | protocol for cytokine and uterine immune cell characterization in a mouse model of lps-induced preterm birth |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10594632/ https://www.ncbi.nlm.nih.gov/pubmed/37858473 http://dx.doi.org/10.1016/j.xpro.2023.102643 |
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