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MicroRNA-129-1 acts as tumour suppressor and induces cell cycle arrest of GBM cancer cells through targeting IGF2BP3 and MAPK1

Overview of attention for article published in Journal of Medical Genetics, October 2015
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Title
MicroRNA-129-1 acts as tumour suppressor and induces cell cycle arrest of GBM cancer cells through targeting IGF2BP3 and MAPK1
Published in
Journal of Medical Genetics, October 2015
DOI 10.1136/jmedgenet-2015-103225
Pubmed ID
Authors

Fatemeh Kouhkan, Naser Mobarra, Mina Soufi-Zomorrod, Farid Keramati, Seyed Mohammad Ali Hosseini Rad, Mehrnoosh Fathi-Roudsari, Rezvan Tavakoli, Athena Hajarizadeh, Said Ziaei, Reyhaneh Lahmi, Hamed Hanif, Masoud Soleimani

Abstract

MicroRNA-129-1 (miR-129-1) seems to behave as a tumour suppressor since its decreased expression is associated with different tumours such as glioblastoma multiforme (GBM). GBM is the most common form of brain tumours originating from glial cells. The impact of miR-129-1 downregulation on GBM pathogenesis has yet to be elucidated. MiR-129-1 was overexpressed in GBM cells, and its effect on proliferation was investigated by cell cycle assay. MiR-129-1 predicted targets (CDK6, IGF1, HDAC2, IGF2BP3 and MAPK1) were also evaluated by western blot and luciferase assay. Restoration of miR-129-1 reduced cell proliferation and induced G1 accumulation, significantly. Several functional assays confirmed IGF2BP3, MAPK1 and CDK6 as targets of miR-129-1. Despite the fact that IGF1 expression can be suppressed by miR-129-1, through 3'-untranslated region complementary sequence, we could not find any association between IGF1 expression and GBM. MiR-129-1 expression inversely correlates with CDK6, IGF2BP3 and MAPK1 in primary clinical samples. This is the first study to propose miR129-1 as a negative regulator of IGF2BP3 and MAPK1 and also a cell cycle arrest inducer in GBM cells. Our data suggests miR-129-1 as a potential tumour suppressor and presents a rationale for the use of miR-129-1 as a novel strategy to improve treatment response in GBM.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 25%
Student > Bachelor 7 13%
Researcher 7 13%
Student > Master 6 11%
Student > Doctoral Student 3 5%
Other 8 15%
Unknown 10 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 31%
Medicine and Dentistry 8 15%
Agricultural and Biological Sciences 6 11%
Neuroscience 5 9%
Immunology and Microbiology 3 5%
Other 6 11%
Unknown 10 18%
Attention Score in Context

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 31 October 2015.
All research outputs
#20,295,099
of 22,831,537 outputs
Outputs from Journal of Medical Genetics
#2,850
of 2,925 outputs
Outputs of similar age
#238,738
of 284,638 outputs
Outputs of similar age from Journal of Medical Genetics
#27
of 28 outputs
Altmetric has tracked 22,831,537 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 2,925 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 28 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.