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Identification of genes associated with methotrexate resistance in methotrexate-resistant osteosarcoma cell lines

Overview of attention for article published in Journal of Orthopaedic Surgery and Research, September 2015
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Title
Identification of genes associated with methotrexate resistance in methotrexate-resistant osteosarcoma cell lines
Published in
Journal of Orthopaedic Surgery and Research, September 2015
DOI 10.1186/s13018-015-0275-8
Pubmed ID
Authors

Xiao-rong Yang, Yan Xiong, Hong Duan, Ren-rong Gong

Abstract

This study aimed to better understand the mechanisms underlying methotrexate (MTX)-resistance in osteosarcoma. The raw transcription microarray data GSE16089 collected from three MTX-sensitive osteosarcoma (Saos-2) cell samples and three MTX-resistant osteosarcoma (Saos-2) cell samples were downloaded from Gene Expression Omnibus. After data processing, the differentially expressed genes (DEGs) were identified. Next, DEGs were submitted to DAVID for functional annotation based on the GO (Gene Ontology) database, as well as pathway enrichment analysis based on the KEGG (Kyoto Encyclopedia of Genes and Genomes) database. Transcription factors (TFs) and tumor-associated genes (TAGs) were identified with reference to TRANSFAC and TAG, and TSGene databases, respectively. The protein-protein interaction (PPI) network of the gene-encoded products was constructed, and the subnetwork with the highest score was also detected using Search Tool for the Retrieval of Interacting Genes and BioNet package. A total of 690 up-regulated genes and down-regulated 626 genes were identified. Up-regulated DEGs (including AARS and PARS2) were associated to transfer RNA (tRNA) aminoacylation while down-regulated DEGs (including AURKA, CCNB1, CCNE2, CDK1, and CENPA) were correlated with mitotic cell cycle. Totally, 13 TFs (including HMGB2), 13 oncogenes (including CCNA2 and AURKA), and 19 tumor suppressor genes (TSGs) (including CDKN2C) were identified from the down-regulated DEGs. Ten DEGs, including nine down-regulated genes (such as AURKA, CDK1, CCNE2, and CENPA) and one up-regulated gene (GADD45A), were involved in the highest score subnetwork. AARS, AURKA, AURKB, CENPA, CCNB1, CCNE2, and CDK may contribute to MTX resistance via aminoacyl-tRNA biosynthesis pathway, cell cycle pathway, or p53 signaling pathway.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 25 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 15%
Student > Doctoral Student 3 12%
Student > Master 3 12%
Student > Postgraduate 3 12%
Student > Ph. D. Student 3 12%
Other 5 19%
Unknown 5 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 19%
Medicine and Dentistry 4 15%
Agricultural and Biological Sciences 4 15%
Pharmacology, Toxicology and Pharmaceutical Science 2 8%
Computer Science 2 8%
Other 1 4%
Unknown 8 31%
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 04 September 2015.
All research outputs
#15,345,593
of 22,826,360 outputs
Outputs from Journal of Orthopaedic Surgery and Research
#646
of 1,371 outputs
Outputs of similar age
#156,539
of 267,016 outputs
Outputs of similar age from Journal of Orthopaedic Surgery and Research
#16
of 35 outputs
Altmetric has tracked 22,826,360 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 1,371 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 34th percentile – i.e., 34% 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 267,016 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 35 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.