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Identification of carcinogenic potential-associated molecular mechanisms in CD133+ A549 cells based on microRNA profiles

Overview of attention for article published in Tumor Biology, August 2015
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20 Mendeley
Title
Identification of carcinogenic potential-associated molecular mechanisms in CD133+ A549 cells based on microRNA profiles
Published in
Tumor Biology, August 2015
DOI 10.1007/s13277-015-3675-9
Pubmed ID
Authors

Qing-yong Chen, De-min Jiao, Ya Zhu, Huizhen Hu, Jian Wang, Xiali Tang, Jun Chen, Li Yan

Abstract

This study aimed to identify carcinogenic potential-related molecular mechanisms in cancer stem cells (CSCs) in lung cancer. CD133(+) and CD133(-) subpopulations were sorted from A549 cells using magnetic-activated cell sorting. The abilities to form sphere and clone, proliferate, migrate, and invade were compared between CD133(+) and CD133(-) cells, as well as drug sensitivity. Thereafter, microRNA (miRNA) profiles were performed to identify differentially expressed miRNAs between CD133(+) and CD133(-) subpopulation. Following, bioinformatic methods were used to predict target genes for differentially expressed miRNAs and perform enrichment analysis. Furthermore, the mammalian target of rapamycin (mTOR) signaling pathways and CSC property-associated signaling pathways were explored and visualized in regulatory network among competitive endogenous RNA (ceRNA), miRNA, and target gene. CD133(+) subpopulation showed greater oncogenic potential than CD133(-) subpopulation. In all, 14 differentially expressed miRNAs were obtained and enriched in 119 pathways, including five upregulated (hsa-miR-23b-3p, -23a-3p, -15b-5p, -24-3p, and -4734) and nine downregulated (hsa-miR-1246, -30b-5p, -5096, -6510-5p, has-miR-7110-5p, -7641, -3197, -7108-5p, and -6791-5p). For mTOR signaling pathway, eight differential miRNAs (hsa-miR-23b-3p, -23a-3p, -15b-5p, -24-3p, -4734, -1246, -7641, and -3197) and 39 target genes (e.g., AKT1, AKT2, PIK3CB, PIK3CG, PIK3R1, PIK3CA, and PIK3CD) were involved, as well as some ceRNAs. Besides, for CSC property-related signaling pathways, six miRNAs (hsa-miR-1246, -15b-5p, -30b-5p, -3197, -4734, and -7110-5p) were dramatically enriched in Hedgehog, Notch, and Wnt signaling pathways via regulating 108 target genes (e.g., DVL1, DVL3, WNT3A, and WNT5A). The mTOR and CSC property-associated signaling pathways may be important oncogenic molecular mechanisms in CD133(+) A549 cells.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 5%
Unknown 19 95%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 15%
Researcher 3 15%
Student > Ph. D. Student 3 15%
Student > Doctoral Student 2 10%
Student > Master 2 10%
Other 2 10%
Unknown 5 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 25%
Agricultural and Biological Sciences 4 20%
Medicine and Dentistry 3 15%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Engineering 1 5%
Other 0 0%
Unknown 6 30%
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 19 August 2015.
All research outputs
#15,340,815
of 22,818,766 outputs
Outputs from Tumor Biology
#1,050
of 2,622 outputs
Outputs of similar age
#154,510
of 264,249 outputs
Outputs of similar age from Tumor Biology
#46
of 173 outputs
Altmetric has tracked 22,818,766 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,622 research outputs from this source. They receive a mean Attention Score of 2.2. This one has gotten more attention than average, scoring higher than 53% 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 264,249 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 173 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.