Research Article

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We searched for key genes that could accurately predict bone mineral density. The gene expression profile GSE7429 was downloaded from the Gene Expression Omnibus database, which includes 20 samples, 10 with high and 10 with low bone mineral density. The differentially expressed genes (DEGs) were identified with packages in R language. Further, BLASTX was used to obtain COG function ... more

Y. Chen; R.G. Xia
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Arabidopsis; Differentially expressed genes; Drought; Microarray; Rewatering

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 Arabidopsis. A total of 3833 ... more

Z.H. Xu; W.R. Wu
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Bioinformatics; Differentially expressed genes; Leukemia

The purpose of this study was to identify differentially expressed genes and analyze biological processes related to leukemia. A meta-analysis was performed using the Rank Product package of Gene Expression Omnibus datasets for leukemia. Next, Gene Ontology-enrichment analysis and pathway analysis were performed using the Gene Ontology website and Kyoto Encyclopedia of Genes and Genomes ... more

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Breast cancer; Differentially expressed genes; Gene coexpression network analysis; Pathway analysis

The aim of this study was to identify key genes related to invasive ductal carcinoma (IDC) of the breast by analyzing gene expression data with bioinformatic tools. Microarray data set GSE31138 was downloaded from Gene Expression Omnibus, including 3 breast cancer tissue samples and 3 normal controls. Differentially expressed genes (DEGs) between breast cancer and normal control were ... more

J.L. Huan; X. Gao; L. Xing; X.J. Qin; H.X. Qian; Q. Zhou; L. Zhu
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Differentially expressed genes; Functional enrichment analysis; Interaction network; Multiple trauma; Pathway analysis; Sepsis

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 multiple trauma patients with sepsis and 34 from multiple trauma ... more

S.C. Ji; Y.T. Pan; Q.Y. Lu; Z.Y. Sun; Y.Z. Liu
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Differentially expressed genes; Endothelial progenitor cells; Folic acid; Immune response; Type 1 diabetes mellitus

We investigated the effects of type 1 diabetes mellitus (T1DM) on endothelial progenitor cells (EPCs) at the molecular level and assessed the therapeutic potential of folic acid (FA) in DM. We downloaded the gene expression profile of the EPCs from T1DM patients before and after treatment with FA and from healthy controls. We identified the differentially expressed genes (DEGs) in the ... more

D.N. Fang; X.D. He; X.H. Li; H. Jia; P.Y. Li; Q. Lu; Z. Quan; Q.L. Wang
01/08/2014
Adenocarcinoma; Differentially expressed genes; Non-small cell lung cancer; Squamous cell carcinoma

Non-small cell lung carcinoma, NSCLC, accounts for 80-85% of lung cancers. NSCLC can be mainly divided into two types: adenocarcinoma (ADC) and squamous cell carcinoma (SCC). The purpose of our study was to identify and differentiate the pathogenesis of ADC and SCC at the molecular level. The gene expression profiles of ADC and SCC were downloaded from Gene Expression Omnibus under ... more

J. Liu; X.Y. Yang; W.J. Shi
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Differentially expressed genes; Geese; Ovary; Transcriptome

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 pre-laying (P) and laying (L) periods and to develop a database ... more

N. Ding; Q. Han; X.Z. Zhao; Q. Li; J. Li; H.F. Zhang; G.L. Gao; Y. Luo; Y.H. Xie; J. Su; Q.G. Wang
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Differentially expressed genes; Flower color; Illumina sequencing; Prunus persica

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 ± 0.010 mg/g). Similarly to ... more

Y. Zhou; X.X. Wu; Z. Zhang; Z.H. Gao
03/27/2015
Autism; Differentially expressed genes; Expression data; Meta-analysis; Microarray

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 Encyclopedia of Genes and Genomes ( ... more

L.F. Ning; Y.Q. Yu; E.T. GuoJi; C.G. Kou; Y.H. Wu; J.P. Shi; L.Z. Ai; Q. Yu

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