| Title |
Transcriptome profiling of the cancer and normal tissues from gastric cancer patients by deep sequencing
|
|---|---|
| Published in |
Tumor Biology, April 2014
|
| DOI | 10.1007/s13277-014-2003-0 |
| Pubmed ID | |
| Authors |
Fei-gong Zhang, Zhi-Ying He, Qiang Wang |
| Abstract |
Gastric cancer is the second highest cause of global cancer mortality. Genome-wide screening of transcriptome dysregulation between cancer and normal tissues would provide insights into the molecular basis of gastric cancer initiation and progression. Recently, next-generation sequencing technique has started to revolutionize biomedical studies. RNA-seq method has become a superior approach in cancer studies, which enables accurate measurement of gene expression levels. In this work, we used RNA-seq data from tumor and matched normal samples to investigate their transcriptional changes. We totally identified 114 significantly differentially expressed genes, and these genes are highly enriched in some gene ontology (GO) categories, such as "digestive system process," "regulation of body fluid levels," "secretion," "digestion," etc. This study provided the preliminary survey of the transcriptome of Chinese gastric cancer patients, which provides better insights into the complexity of regulatory changes during tumorgenesis. |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 7% |
| Unknown | 14 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 20% |
| Student > Ph. D. Student | 3 | 20% |
| Researcher | 3 | 20% |
| Professor | 2 | 13% |
| Student > Master | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 3 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 40% |
| Medicine and Dentistry | 4 | 27% |
| Biochemistry, Genetics and Molecular Biology | 2 | 13% |
| Sports and Recreations | 1 | 7% |
| Unknown | 2 | 13% |
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 05 May 2014.
All research outputs
#17,719,891
of 22,754,104 outputs
Outputs from Tumor Biology
#1,220
of 2,622 outputs
Outputs of similar age
#156,517
of 227,058 outputs
Outputs of similar age from Tumor Biology
#49
of 87 outputs
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