| Title |
Post-transcriptional control during chronic inflammation and cancer: a focus on AU-rich elements
|
|---|---|
| Published in |
Cellular and Molecular Life Sciences, May 2010
|
| DOI | 10.1007/s00018-010-0383-x |
| Pubmed ID | |
| Authors |
Khalid S. A. Khabar |
| Abstract |
A considerable number of genes that code for AU-rich mRNAs including cytokines, growth factors, transcriptional factors, and certain receptors are involved in both chronic inflammation and cancer. Overexpression of these genes is affected by aberrations or by prolonged activation of several signaling pathways. AU-rich elements (ARE) are important cis-acting short sequences in the 3'UTR that mediate recognition of an array of RNA-binding proteins and affect mRNA stability and translation. This review addresses the cellular and molecular mechanisms that are common between inflammation and cancer and that also govern ARE-mediated post-transcriptional control. The first part examines the role of the ARE-genes in inflammation and cancer and sequence characteristics of AU-rich elements. The second part addresses the common signaling pathways in inflammation and cancer that regulate the ARE-mediated pathways and how their deregulations affect ARE-gene regulation and disease outcome. |
Mendeley readers
The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 2% |
| United States | 2 | 2% |
| United Kingdom | 2 | 2% |
| Korea, Republic of | 1 | <1% |
| Italy | 1 | <1% |
| Austria | 1 | <1% |
| Netherlands | 1 | <1% |
| France | 1 | <1% |
| India | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 111 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 40 | 32% |
| Researcher | 26 | 21% |
| Student > Master | 19 | 15% |
| Student > Bachelor | 8 | 6% |
| Professor > Associate Professor | 6 | 5% |
| Other | 12 | 10% |
| Unknown | 14 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 58 | 46% |
| Biochemistry, Genetics and Molecular Biology | 22 | 18% |
| Medicine and Dentistry | 10 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 3% |
| Computer Science | 3 | 2% |
| Other | 10 | 8% |
| Unknown | 18 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 30 August 2017.
All research outputs
#3,460,684
of 23,794,258 outputs
Outputs from Cellular and Molecular Life Sciences
#571
of 4,151 outputs
Outputs of similar age
#13,148
of 96,859 outputs
Outputs of similar age from Cellular and Molecular Life Sciences
#2
of 26 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,151 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done well, scoring higher than 88% of its peers.
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 96,859 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.