Expression profiling of constitutive mast cells reveals a unique identity within the immune system
Mast cells are evolutionarily ancient sentinel cells. Like basophils, mast cells express the high-affinity IgE receptor and are implicated in host defense and diverse immune-mediated diseases. To better characterize the function of these cells, we assessed the transcriptional profiles of mast cells...
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pubmed-50452642016-11-02 Expression profiling of constitutive mast cells reveals a unique identity within the immune system Dwyer, Daniel F. Barrett, Nora A. Austen, K. Frank Article Mast cells are evolutionarily ancient sentinel cells. Like basophils, mast cells express the high-affinity IgE receptor and are implicated in host defense and diverse immune-mediated diseases. To better characterize the function of these cells, we assessed the transcriptional profiles of mast cells isolated from peripheral connective tissues and basophils isolated from spleen and blood. We found that mast cells were transcriptionally distinct, clustering independently from all other profiled cells, and that mast cells demonstrated considerably greater heterogeneity across tissues than previously appreciated. We observed minimal homology between mast cells and basophils, which share more overlap with other circulating granulocytes than with mast cells. Derivation of mast cell and basophil transcriptional signatures underscores their differential capacity to detect environmental signals and influence the inflammatory milieu. 2016-05-02 2016-07 /pmc/articles/PMC5045264/ /pubmed/27135604 http://dx.doi.org/10.1038/ni.3445 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms |
repository_type |
Open Access Journal |
institution_category |
Foreign Institution |
institution |
US National Center for Biotechnology Information |
building |
NCBI PubMed |
collection |
Online Access |
language |
English |
format |
Online |
author |
Dwyer, Daniel F. Barrett, Nora A. Austen, K. Frank |
spellingShingle |
Dwyer, Daniel F. Barrett, Nora A. Austen, K. Frank Expression profiling of constitutive mast cells reveals a unique identity within the immune system |
author_facet |
Dwyer, Daniel F. Barrett, Nora A. Austen, K. Frank |
author_sort |
Dwyer, Daniel F. |
title |
Expression profiling of constitutive mast cells reveals a unique
identity within the immune system |
title_short |
Expression profiling of constitutive mast cells reveals a unique
identity within the immune system |
title_full |
Expression profiling of constitutive mast cells reveals a unique
identity within the immune system |
title_fullStr |
Expression profiling of constitutive mast cells reveals a unique
identity within the immune system |
title_full_unstemmed |
Expression profiling of constitutive mast cells reveals a unique
identity within the immune system |
title_sort |
expression profiling of constitutive mast cells reveals a unique
identity within the immune system |
description |
Mast cells are evolutionarily ancient sentinel cells. Like basophils,
mast cells express the high-affinity IgE receptor and are implicated in host
defense and diverse immune-mediated diseases. To better characterize the
function of these cells, we assessed the transcriptional profiles of mast cells
isolated from peripheral connective tissues and basophils isolated from spleen
and blood. We found that mast cells were transcriptionally distinct, clustering
independently from all other profiled cells, and that mast cells demonstrated
considerably greater heterogeneity across tissues than previously appreciated.
We observed minimal homology between mast cells and basophils, which share more
overlap with other circulating granulocytes than with mast cells. Derivation of
mast cell and basophil transcriptional signatures underscores their differential
capacity to detect environmental signals and influence the inflammatory
milieu. |
publishDate |
2016 |
url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5045264/ |
_version_ |
1613668571274018816 |