scholarly journals Bioinformatics analysis of RNA sequencing data reveals multiple key genes in uterine corpus endometrial carcinoma

2017 ◽  
Author(s):  
Liang Shen ◽  
Ming Liu ◽  
Wei Liu ◽  
Jing Cui ◽  
Changzhong Li
Keyword(s):  
Endometrial Carcinoma ◽  
Rna Sequencing ◽  
Bioinformatics Analysis ◽  
Sequencing Data ◽  
Uterine Corpus ◽  
Key Genes

scholarly journals Identifying key genes associated with Hirschsprung’s disease based on bioinformatics analysis of RNA-sequencing data

2017 ◽  
Vol 13 (3) ◽  
pp. 267-273 ◽  
Author(s):  
Wei-Kang Pan ◽  
Ya-Fei Zhang ◽  
Hui Yu ◽  
Ya Gao ◽  
Bai-Jun Zheng ◽  
...  
Keyword(s):  
Rna Sequencing ◽  
Hirschsprung's Disease ◽  
Hirschsprung’S Disease ◽  
Bioinformatics Analysis ◽  
Sequencing Data ◽  
Key Genes

scholarly journals Identification of Key Genes and Potential New Biomarkers for Ovarian Aging: A Study Based on RNA-Sequencing Data

2020 ◽  
Vol 11 ◽  
Author(s):  
Lingwei Ma ◽  
Huan Lu ◽  
Runhua Chen ◽  
Meng Wu ◽  
Yan Jin ◽  
...  
Keyword(s):  
Rna Sequencing ◽  
Sequencing Data ◽  
Ovarian Aging ◽  
Key Genes ◽  
New Biomarkers

scholarly journals Exploring Prognosis-Associated Biomarkers of Estrogen-Independent Uterine Corpus Endometrial Carcinoma by Bioinformatics Analysis

2021 ◽  
Vol Volume 14 ◽  
pp. 9067-9081
Author(s):  
Youchun Ye ◽  
Hongfeng Li ◽  
Jia Bian ◽  
Liangfei Wang ◽  
Yijie Wang ◽  
...  
Keyword(s):  
Endometrial Carcinoma ◽  
Bioinformatics Analysis ◽  
Uterine Corpus

Exploiting RNA-sequencing data from the porcine testes to identify the key genes involved in spermatogenesis in Large White pigs

Gene ◽  
2015 ◽  
Vol 573 (2) ◽  
pp. 303-309 ◽  
Author(s):  
Huibin Song ◽  
Lihua Zhu ◽  
Yan Li ◽  
Changping Ma ◽  
Kaifeng Guan ◽  
...  
Keyword(s):  
Rna Sequencing ◽  
Sequencing Data ◽  
Large White ◽  
Key Genes

scholarly journals HEDGEHOG/GLI Modulates the PRR11-SKA2 Bidirectional Transcription Unit in Lung Squamous Cell Carcinomas

Genes ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 120
Author(s):  
Yiyun Sun ◽  
Dandan Xu ◽  
Chundong Zhang ◽  
Yitao Wang ◽  
Lian Zhang ◽  
...  
Keyword(s):  
Rna Sequencing ◽  
Squamous Cell ◽  
Gene Pair ◽  
Gene List ◽  
Ectopic Expression ◽  
Lung Squamous Cell Carcinoma ◽  
Gene Set Enrichment Analysis ◽  
The Cancer Genome Atlas ◽  
Sequencing Data ◽  
Gene Set

We previously demonstrated that proline-rich protein 11 (PRR11) and spindle and kinetochore associated 2 (SKA2) constituted a head-to-head gene pair driven by a prototypical bidirectional promoter. This gene pair synergistically promoted the development of non-small cell lung cancer. However, the signaling pathways leading to the ectopic expression of this gene pair remains obscure. In the present study, we first analyzed the lung squamous cell carcinoma (LSCC) relevant RNA sequencing data from The Cancer Genome Atlas (TCGA) database using the correlation analysis of gene expression and gene set enrichment analysis (GSEA), which revealed that the PRR11-SKA2 correlated gene list highly resembled the Hedgehog (Hh) pathway activation-related gene set. Subsequently, GLI1/2 inhibitor GANT-61 or GLI1/2-siRNA inhibited the Hh pathway of LSCC cells, concomitantly decreasing the expression levels of PRR11 and SKA2. Furthermore, the mRNA expression profile of LSCC cells treated with GANT-61 was detected using RNA sequencing, displaying 397 differentially expressed genes (203 upregulated genes and 194 downregulated genes). Out of them, one gene set, including BIRC5, NCAPG, CCNB2, and BUB1, was involved in cell division and interacted with both PRR11 and SKA2. These genes were verified as the downregulated genes via RT-PCR and their high expression significantly correlated with the shorter overall survival of LSCC patients. Taken together, our results indicate that GLI1/2 mediates the expression of the PRR11-SKA2-centric gene set that serves as an unfavorable prognostic indicator for LSCC patients, potentializing new combinatorial diagnostic and therapeutic strategies in LSCC.

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