Differentially Expressed Genes
E2F, HSF2, and miR-26 in thyroid carcinoma: bioinformatic analysis of RNA-sequencing data
Authors: J.C. Lu and Y.P. Zhang
In this study, we examined the molecular mechanism of thyroid carcinoma (THCA) using bioinformatics. RNA-sequencing data of THCA (N = 498) and normal thyroid tissue (N = 59) were downloaded from The Cancer Genome Atlas. Next, gene expression levels were calculated using the TCC package and differentially expressed genes (DEGs) were identified using the ed.. Read More»
- Genet. Mol. Res. 15(1):
- gmr.15017576
- DOI:
- 10.4238/gmr.15017576
Identification of differentially expressed genes associated with flower color in peach using genome-wide transcriptional analysis
Authors: Y. Zhou, X.X. Wu, Z. Zhang and Z.H. Gao
Flower color is an important trait of the ornamental peach (Prunus persica L.). However, the mechanism responsible for the different colors that appear in the same genotype remains unclear. In this study, red samples showed higher anthocyanins content (0.122 ± 0.009 mg/g), which was significantly different from that in white samples (0.066 ±.. Read More»
- Genet. Mol. Res. 14(2):
- 2015.May.11.5
- DOI:
- 10.4238/2015.May.11.5
Screening of crucial long non-coding RNAs in oral epithelial dysplasia by serial analysis of gene expression
Authors: X. Han, Y.B. Wei, G. Tian, Z. Tang, J.Y. Gao and X.G. Xu
Oral epithelial dysplasia (OED) is a premalignant lesion of the oral mucosa. Considering the poor 5-year survival rate of oral cancer, further investigation is needed in order to determine the pathogenesis of OED. In the present study, serial analysis of gene expression (SAGE) data from patients with OED were compared to norma.. Read More»
- Genet. Mol. Res. 14(4):
- 2015.October.2.6
- DOI:
- 10.4238/2015.October.2.6
Gene expression profile analysis of testis and ovary of oriental river prawn, Macrobrachium nipponense, reveals candidate reproduction-related genes
Authors: H. Qiao, Y.W. Xiong, S.F. Jiang, H.T. Fu, S.M. Sun, S.B. Jin, Y.S. Gong and W.Y. Zhang
This study utilized high-throughput RNA sequencing technology to identify reproduction- and development-related genes of Macrobrachium nipponense by analyzing gene expression profiles of testis and ovary. More than 20 million 1 x 51-bp reads were obtained by Illumina sequencing, generating more than 7.7 and 11.7 million clean reads in the testis and ovary.. Read More»
- Genet. Mol. Res. 14(1):
- 2015.March.20.14
- DOI:
- 10.4238/2015.March.20.14
Protein-protein interaction network and mechanism analysis of hepatitis C
Authors: Y. Tang, Q. Tang, C. Dong, X. Li, Z. Zhang and F. An
We predicted potential genes and identified pathways associated with hepatitis C. The gene expression profiles of GSE40184 from blood samples and GSE38597 from liver biopsy samples were downloaded from the GEO database. Differentially expressed genes (DEGs) were recognized using the Limma Package. The Pearson correlation test was used to construct the co-.. Read More»
- Genet. Mol. Res. 14(1):
- 2015.March.20.17
- DOI:
- 10.4238/2015.March.20.17
Meta-analysis of differentially expressed genes in autism based on gene expression data
Authors: L.F. Ning, Y.Q. Yu, E.T. GuoJi, C.G. Kou, Y.H. Wu, J.P. Shi,L.Z. Ai and Q. Yu
The purpose of this study was to identify differentially expressed (DE) genes and biological processes associated with changes in gene expression in autism. We performed a meta-analysis using new publicly available Gene Expression Omnibus (GEO) datasets of autism. We performed Gene Ontology (GO) enrichment analyses and pathway analysis using the Kyoto Enc.. Read More»
- Genet. Mol. Res. 14(1):
- 2015.March.27.1
- DOI:
- 10.4238/2015.March.27.1
Screening of differentially expressed genes between multiple trauma patients with and without sepsis
Authors: S.C. Ji, Y.T. Pan, Q.Y. Lu, Z.Y. Sun and Y.Z. Liu
The purpose of this study was to identify critical genes associated with septic multiple trauma by comparing peripheral whole blood samples from multiple trauma patients with and without sepsis. A microarray data set was downloaded from the Gene Expression Omnibus (GEO) database. This data set included 70 samples, 36 from mult.. Read More»
- Genet. Mol. Res. 13(1):
- http://dx.doi.org/2014.March.17.13
- DOI:
- http://dx.doi.org/10.4238/2014.March.17.13
Integrated miRNA-mRNA analysis of Epstein-Barr virus-positive nasopharyngeal carcinoma
Authors: L.H. Zhu, X.T. Miao and N.Y. Wang
This study aims to identify the crucial miRNAs in Epstein-Barr virus-positive nasopharyngeal carcinoma (NPC) and their target genes. Gene expression profile data (GSE12452) that included 31 NPC and 10 normal nasopharyngeal tissue specimens were downloaded. Differentially expressed genes (DEGs) were identified using significance analysis of microarrays. Th.. Read More»
- Genet. Mol. Res. 14(2):
- 2015.June.1.20
- DOI:
- 10.4238/2015.June.1.20
Comparative and joint analyses of gene expression profiles under drought and rewatering in Arabidopsis
Authors: Z.H. Xu and W.R. Wu
Drought is a major limiting factor in crop production. Rewatering is a process opposite to drought, allowing plants to recover to their normal physiological state. To understand more thoroughly the set of genes involved in plant response to drought, we comparatively and jointly analyzed the microarray data of drought and rewatering experiments in Arabidop.. Read More»
- Genet. Mol. Res. 12(3):
- 2013.September.13.6
- DOI:
- 10.4238/2013.September.13.6
Differential gene expression in pre-laying and laying period ovaries of Sichuan White geese (Anser cygnoides)
Authors: N. Ding, Q. Han, X.Z. Zhao, Q. Li, J. Li, H.F. Zhang, G.L. Gao,Y. Luo, Y.H. Xie, J. Su and Q.G. Wang
Geese are an economically important poultry species worldwide. Their superior meat production performance and meat quality make them a popular food. However, they are not bred worldwide because their poor laying capacity increases farming costs. To gain a global view of the genes that are differentially expressed between prelaying (P) and laying (L) perio.. Read More»
- Genet. Mol. Res. 14(2):
- 2015.June.18.20
- DOI:
- 10.4238/2015.June.18.20