Transcriptomics

Dataset Information

0

Transcriptomic analysis of airway macrophages from a murine experimental allergic airway disease model


ABSTRACT: Airway macrophages (AMs) are the most abundant leukocytes in the healthy airway lumen and have a highly specialised but plastic phenotype that is governed by the local microenvironment. AMs are thought to maintain immunological homeostasis in the steady state, but have also been implicated in the pathogenesis of allergic airway disease (AAD). To better understand these potentially contrasting AM functions, bulk RNA sequencing was performed on murine AMs obtained during experimental AAD driven by repeated house dust mite inhalation (AM[HDM]s), comparing to control AMs from non-allergic mice. AM[HDM]s showed increased expression of genes associated with antigen presentation, inflammatory cell recruitment and tissue repair, including several chemokines and matrix metalloproteinases. This was accompanied by increased expression of mitochondrial electron transport chain subunit genes and the retinoic acid biosynthetic enzyme gene Raldh2. Conversely, AM[HDM]s displayed decreased expression of a number of cell cycle genes, genes related to cytoskeletal functions and a subset of genes implicated in antimicrobial innate immunity, such as Tlr5, Il18 and Tnf. Differential gene expression in AM[HDM]s was consistent with upstream effects of the cytokines IL-4 and IFN-γ, both of which were at increased concentrations in lung tissue after HDM treatment. These data highlight diverse gene expression changes in the total AM population in a clinically relevant mouse model of AAD, overall suggestive of contributions to inflammation and tissue repair/remodelling, but decreases in certain steady state cellular and immunological functions.

ORGANISM(S): Mus musculus

PROVIDER: GSE148590 | GEO | 2020/05/20

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2023-06-02 | PXD029715 | Pride
2018-01-31 | GSE71822 | GEO
2018-01-31 | GSE71821 | GEO
2015-11-19 | E-GEOD-71718 | biostudies-arrayexpress
2015-11-19 | GSE71718 | GEO
2013-12-03 | E-GEOD-49047 | biostudies-arrayexpress
2017-08-10 | GSE100858 | GEO
2015-03-01 | E-GEOD-57772 | biostudies-arrayexpress
2022-04-01 | GSE190345 | GEO
2013-12-03 | GSE49047 | GEO