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Time course analysis based on gene expression profile and identification of target molecules for colorectal cancer

Overview of attention for article published in Cancer Cell International, March 2016
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  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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Title
Time course analysis based on gene expression profile and identification of target molecules for colorectal cancer
Published in
Cancer Cell International, March 2016
DOI 10.1186/s12935-016-0296-3
Pubmed ID
Authors

Guoting Chen, Ning Han, Guofeng Li, Xin Li, Guang Li, Zengchun Li, Qinchuan Li

Abstract

The study aimed to investigate the expression changes of genes in colorectal cancer (CRC) and screen the potential molecular targets. The GSE37178 of mRNA expression profile including the CRC samples extracted by surgical resection and the paired normal samples was downloaded from Gene Expression Omnibus database. The genes whose expressions were changed at four different time points were screened and clustered using Mfuzz package. Then DAVID was used to perform the functional and pathway enrichment analysis for genes in different clusters. The protein-protein interaction (PPI) networks were constructed for genes in the clusters according to the STRING database. Furthermore, the related-transcription factors (TFs) and microRNAs (miRNAs) were obtained based on the resources in databases and then were combined with the PPI networks in each cluster to construct the integrated network containing genes, TFs and miRNAs. As a result, 314 genes were clustered into four groups. Genes in cluster 1 and cluster 2 showed a decreasing trend, while genes in cluster 3 and cluster 4 presented an increasing trend. Then 18 TFs (e.g., TCF4, MEF2C and FOS) and 18 miRNAs (e.g., miR-382, miR-217, miR-1184, miR-326 and miR-330-5p) were identified and three integrated networks for cluster 1, 3, and 4 were constructed. The results implied that expression of PITX2, VSNL1, TCF4, MEF2C and FOS are time-related and associated with CRC development, accompanied by several miRNAs including miR-382, miR-217, miR-21, miR-1184, miR-326 and miR-330-5p. All of them might be used as potential diagnostic or therapeutic target molecules for CRC.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 2%
Unknown 41 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 19%
Student > Ph. D. Student 6 14%
Other 4 10%
Student > Master 4 10%
Student > Bachelor 3 7%
Other 8 19%
Unknown 9 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 38%
Agricultural and Biological Sciences 7 17%
Medicine and Dentistry 4 10%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Nursing and Health Professions 1 2%
Other 4 10%
Unknown 9 21%
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 14 April 2016.
All research outputs
#17,795,140
of 22,858,915 outputs
Outputs from Cancer Cell International
#984
of 1,801 outputs
Outputs of similar age
#206,065
of 300,491 outputs
Outputs of similar age from Cancer Cell International
#10
of 24 outputs
Altmetric has tracked 22,858,915 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,801 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 39th percentile – i.e., 39% 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 300,491 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 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 54% of its contemporaries.