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Cited by 365

The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.

Expression profiling of constitutive mast cells reveals a unique identity within the immune system

Open access
The Immunological Genome Project Consortium, Dwyer, Daniel F, Barrett, Nora A, Austen, K Frank·2016·Nature Immunology

Abstract

Mast cells are evolutionarily ancient sentinel cells. Like basophils, mast cells express the high-affinity receptor for immunoglobulin E (IgE) and have been linked to host defense and diverse immune-system-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 shared more overlap with other circulating granulocytes than with mast cells. The derivation of mast-cell and basophil transcriptional signatures underscores their differential capacities to detect environmental signals and influence the inflammatory milieu.

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Metadata

Authors
The Immunological Genome Project Consortium, Dwyer, D. F., Barrett, N. A., & Austen, K. F.
Venue
Nature Immunology
Published
2016-05-02
Volume
17
Issue
7
Pages
878-887
ISSN
  • 1529-2908 (ISSN-L)
  • 1529-2916
OpenAlex
W2347163170
Cited by
365
References
50
FWCI
16.99
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Expression profiling of constitutive mast cells reveals a unique identity within the immune system. https://app.cochat.ai/papers/10.1038/ni.3445
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The Immunological Genome Project Consortium, Dwyer, D. F., Barrett, N. A., & Austen, K. F. (2016). Expression profiling of constitutive mast cells reveals a unique identity within the immune system. Nature Immunology. https://doi.org/10.1038/ni.3445

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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