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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Regulatory miRNA–mRNA Network Is Associated with Tissue Repair Induced by Mesenchymal Stromal Cells in Acute Kidney Injury
|
|---|---|
| Published in |
Frontiers in immunology, January 2017
|
| DOI | 10.3389/fimmu.2016.00645 |
| Pubmed ID | |
| Authors |
Danilo Candido de Almeida, Ênio Jose Bassi, Hatylas Azevedo, Letícia Anderson, Clarice Silvia Taemi Origassa, Marcos Antônio Cenedeze, Vinicius de Andrade-Oliveira, Raphael José Ferreira Felizardo, Reinaldo Correia da Silva, Meire Ioshie Hiyane, Patricia Semedo, Marlene Antônia dos Reis, Carlos Alberto Moreira-Filho, Sergio Verjovski-Almeida, Álvaro Pacheco-Silva, Niels Olsen Saraiva Câmara |
| Abstract |
Mesenchymal stromal cells (MSCs) orchestrate tissue repair by releasing cell-derived microvesicles (MVs), which, presumably by small RNA species, modulate global gene expression. The knowledge of miRNA/mRNA signatures linked to a reparative status may elucidate some of the molecular events associated with MSC protection. Here, we used a model of cisplatin-induced kidney injury (acute kidney injury) to assess how MSCs or MVs could restore tissue function. MSCs and MVs presented similar protective effects, which were evidenced in vivo and in vitro by modulating apoptosis, inflammation, oxidative stress, and a set of prosurvival molecules. In addition, we observed that miRNAs (i.e., miR-880, miR-141, miR-377, and miR-21) were modulated, thereby showing active participation on regenerative process. Subsequently, we identified that MSC regulates a particular miRNA subset which mRNA targets are associated with Wnt/TGF-β, fibrosis, and epithelial-mesenchymal transition signaling pathways. Our results suggest that MSCs release MVs that transcriptionally reprogram injured cells, thereby modulating a specific miRNA-mRNA network. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 18% |
| Student > Bachelor | 7 | 12% |
| Other | 6 | 11% |
| Student > Ph. D. Student | 5 | 9% |
| Student > Master | 4 | 7% |
| Other | 11 | 19% |
| Unknown | 14 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 25% |
| Agricultural and Biological Sciences | 6 | 11% |
| Engineering | 4 | 7% |
| Medicine and Dentistry | 3 | 5% |
| Veterinary Science and Veterinary Medicine | 3 | 5% |
| Other | 9 | 16% |
| Unknown | 18 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 04 January 2017.
All research outputs
#22,778,604
of 25,394,764 outputs
Outputs from Frontiers in immunology
#27,447
of 31,554 outputs
Outputs of similar age
#363,295
of 422,503 outputs
Outputs of similar age from Frontiers in immunology
#310
of 343 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,554 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 1st percentile – i.e., 1% 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 422,503 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 343 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.