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Integrated network analysis to explore the key genes regulated by parathyroid hormone receptor 1 in osteosarcoma

Overview of attention for article published in World Journal of Surgical Oncology, September 2017
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Title
Integrated network analysis to explore the key genes regulated by parathyroid hormone receptor 1 in osteosarcoma
Published in
World Journal of Surgical Oncology, September 2017
DOI 10.1186/s12957-017-1242-0
Pubmed ID
Authors

Donghui Guan, Honglai Tian

Abstract

As an invasive malignant tumor, osteosarcoma (OS) has high mortality. Parathyroid hormone receptor 1 (PTHR1) contributes to maintaining proliferation and undifferentiated state of OS. This study is designed to reveal the action mechanisms of PTHR1 in OS. Microarray dataset GSE46861, which included six PTHR1 knockdown OS samples and six control OS samples, was obtained from the Gene Expression Omnibus database. The differentially expressed genes (DEGs) were identified and then performed with enrichment analysis separately using the limma package and DAVID online tool. Then, protein-protein interaction (PPI) network and module analyses were conducted using Cytoscape software. Using the WebGestalt tool, microRNAs (miRNAs) were predicted for the DEGs involved in the PPI network. Following this, transcription factors (TFs) were predicted and an integrated network was constructed by Cytoscape software. There were 871 DEGs in the PTHR1 knockdown OS samples compared with the control OS samples. Besides, upregulated ZFPM2 was involved in the miRNA-DEG regulatory network. Moreover, TF LEF1 was predicted for the miRNA-DEG regulatory network of the downregulated genes. In addition, LEF1, NR4A2, HAS2, and RHOC had higher degrees in the integrated network. ZFPM2, LEF1, NR4A2, HAS2, and RHOC might be potential targets of PTHR1 in OS.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 18%
Unspecified 1 9%
Student > Bachelor 1 9%
Student > Master 1 9%
Unknown 6 55%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 18%
Unspecified 1 9%
Medicine and Dentistry 1 9%
Unknown 7 64%
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 23 September 2017.
All research outputs
#18,572,844
of 23,003,906 outputs
Outputs from World Journal of Surgical Oncology
#1,019
of 2,054 outputs
Outputs of similar age
#244,303
of 318,503 outputs
Outputs of similar age from World Journal of Surgical Oncology
#14
of 18 outputs
Altmetric has tracked 23,003,906 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,054 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.