Evidence map›Paper›PMID 28474499›Full record

ArticleImmunity, inflammation and disease2017

Inhibition of the BET family of epigenetic reader proteins: A novel principle for modulating gene expression in IgE-activated mast cells.

Gianni Garcia-Faroldi, Elin Rönnberg, Mirjana Grujic, Gunnar Pejler

Open access · goldAbstract read
In one paragraph

Article in Immunity, inflammation and disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 50% of its field
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Gianni Garcia-FaroldiDepartment of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.
Elin RönnbergDepartment of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.
Mirjana GrujicDepartment of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.
Gunnar PejlerDepartment of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-6779-391X
Uppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe BET family of bromodomain-containing proteins constitute epigenetic readers that bind to acetylated lysine residues of core histones, thereby translating epigenetic histone marks to effects on gene expression. BET inhibitors are currently emerging as promising therapeutic agents for treatment of various pathological conditions. Here, we explored the potential of using BET inhibition to modulate IgE-mediated responses in mast cells.

methodsWe assessed the effects of BET inhibitors PFI-1, I-BET151, and I-BET762 on responses downstream of mast cell activation through IgE receptor cross-linking.

resultsBET inhibitors were neither toxic for mast cells (at doses up to 20 μM), nor did they prevent IgE-mediated mast cell degranulation. However, we found that BET inhibition, in particular by I-BET151, suppressed IL-6 gene expression and IL-6 protein release in response to IgE-mediated mast cell activation. This was observed in both bone marrow-derived mast cells (BMMCs) and in mature peritoneal-cell derived mast cells. Further analysis showed that BET inhibition also suppressed the expression of a number of additional genes of those that were upregulated by IgE receptor cross-linking, including IL-3, IL-7R, CCR1, and ADAMTS9. However, BET inhibition was selective, i.e., several genes that were upregulated by IgE receptor cross-linking were not affected by BET inhibitors.

conclusionsThese findings suggest that BET inhibition can interfere with the upregulated expression of selected genes in mast cells activated by IgE receptor cross-linking. Further, our findings introduce the concept of utilizing epigenetic mechanisms for modulating mast cell function in the context of IgE-driven disease.

Indexed as

ADAMTS9 ProteinAnimalsBenzodiazepinesEpigenesis, GeneticHeterocyclic Compounds, 4 or More RingsImmunoglobulin EInterleukin-3Mast CellsMiceReceptors, CCR1Receptors, Interleukin-7ADAMTS9 ProteinAdamts9 protein, mouseBenzodiazepinesCcr1 protein, mouseGSK1210151AHeterocyclic Compounds, 4 or More RingsImmunoglobulin EInterleukin-3molibresibReceptors, CCR1Receptors, Interleukin-7BET proteinsepigeneticsIgEIL-6mast cells

Identifiers

PMID28474499
PMCPMC5418135
OpenAlexW2611784532

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.