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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Dexamethasone and Monophosphoryl Lipid A Induce a Distinctive Profile on Monocyte-Derived Dendritic Cells through Transcriptional Modulation of Genes Associated With Essential Processes of the Immune Response
|
|---|---|
| Published in |
Frontiers in immunology, October 2017
|
| DOI | 10.3389/fimmu.2017.01350 |
| Pubmed ID | |
| Authors |
Paulina A. García-González, Katina Schinnerling, Alejandro Sepúlveda-Gutiérrez, Jaxaira Maggi, Ahmed M. Mehdi, Hendrik J. Nel, Bárbara Pesce, Milton L. Larrondo, Octavio Aravena, María C. Molina, Diego Catalán, Ranjeny Thomas, Ricardo A. Verdugo, Juan C. Aguillón |
| Abstract |
There is growing interest in the use of tolerogenic dendritic cells (tolDCs) as a potential target for immunotherapy. However, the molecular bases that drive the differentiation of monocyte-derived DCs (moDCs) toward a tolerogenic state are still poorly understood. Here, we studied the transcriptional profile of moDCs from healthy subjects, modulated with dexamethasone (Dex) and activated with monophosphoryl lipid A (MPLA), referred to as Dex-modulated and MPLA-activated DCs (DM-DCs), as an approach to identify molecular regulators and pathways associated with the induction of tolerogenic properties in tolDCs. We found that DM-DCs exhibit a distinctive transcriptional profile compared to untreated (DCs) and MPLA-matured DCs. Differentially expressed genes downregulated by DM included MMP12, CD1c, IL-1B, and FCER1A involved in DC maturation/inflammation and genes upregulated by DM included JAG1, MERTK, IL-10, and IDO1 involved in tolerance. Genes related to chemotactic responses, cell-to-cell signaling and interaction, fatty acid oxidation, metal homeostasis, and free radical scavenging were strongly enriched, predicting the activation of alternative metabolic processes than those driven by counterpart DCs. Furthermore, we identified a set of genes that were regulated exclusively by the combined action of Dex and MPLA, which are mainly involved in the control of zinc homeostasis and reactive oxygen species production. These data further support the important role of metabolic processes on the control of the DC-driven regulatory immune response. Thus, Dex and MPLA treatments modify gene expression in moDCs by inducing a particular transcriptional profile characterized by the activation of tolerance-associated genes and suppression of the expression of inflammatory genes, conferring the potential to exert regulatory functions and immune response modulation. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 30% |
| Student > Ph. D. Student | 9 | 27% |
| Student > Master | 4 | 12% |
| Lecturer | 1 | 3% |
| Student > Doctoral Student | 1 | 3% |
| Other | 4 | 12% |
| Unknown | 4 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 12 | 36% |
| Medicine and Dentistry | 5 | 15% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Agricultural and Biological Sciences | 2 | 6% |
| Unspecified | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 10 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 November 2017.
All research outputs
#16,725,651
of 25,382,440 outputs
Outputs from Frontiers in immunology
#18,341
of 31,537 outputs
Outputs of similar age
#204,779
of 338,323 outputs
Outputs of similar age from Frontiers in immunology
#386
of 567 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,537 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 338,323 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 567 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.