Circular RNA In Invasive and Recurrent Clinical Nonfunctioning Pituitary Adenomas: Expression Profiles and Bioinformatic Analysis
Jianpeng WangDong WangDehong WanQingxia MaQian LiuJiye LiZhaojian LiYang GaoGuohui JiangLeina MaJia LiuChuzhong Li
20
Citation
40
Reference
10
Related Paper
Citation Trend
Keywords:
Circular RNA
Adherens junction
Tumor progression
Tissue microarray
Gene chip analysis
Cite
Citations (0)
Gene chip analysis
Microarray databases
Cite
Citations (10)
Circular RNA
Competing Endogenous RNA
Cite
Citations (91)
PRV,PPV and JEV detection microarray have been prepared in this test.The microarray has been fabricated by spotting target genes on animated slide with the best concentration 200 mg/L of each target gene firstly,then the slide dried,hydrated,UV cross-linked and washed.Probes were labelled by PCR with CY3-dCTP to evaluate the qualification of the microarray.The best concentration of the probe was 3 000 μg/L,with the sensitivity of the microarray detection system of 3 μg/L.The results showed that PRV,PPV and JEV can be detected simultaneously by the microarray with high sensitivity and specificity.The microarray can be reutilized for at least 10 times and conserved for at least 4 months.
Spotting
Gene chip analysis
Cite
Citations (0)
This study aimed to use gene chips to investigate differential gene expression profiles in the occurrence and development of acute myocardial infarction (AMI). The study included 12 AMI patients and 12 healthy individuals. Total mRNA of peripheral bloodwas extracted and reversed-transcribed to cDNA for microarray analysis. After establishing two pools with three subjects each (3 AMI patients and 3 healthy individuals), the remaining samples were used for RT-qPCR to confirm the microarray data. From the microarray results, seven genes were randomly selected for RT-qPCR. RT-qPCR results were analyzed by the 2-ΔΔCt method. Microarray analysis showed that 228 genes were up- regulated and 271 were down-regulated (p ≤ 0.05, |logFC| > 1). Gene ontology showed that these genes belong to 128 cellular components, 521 biological processes, and 151 molecular functions. KEGG pathway analysis showed that these genes are involved in 107 gene pathways. RT-qPCR results for the seven genes showed expression levels consistent with those obtained by microarray. Thus, microarray data could be used to select the pathogenic genes for AMI. Investigating the abnormal expression of these differentially expressed genes might suggest efficient strategies for the prevention, diagnosis, and treatment of AMI.
Microarray databases
KEGG
Gene chip analysis
Cite
Citations (18)
Gene chip analysis
Microarray databases
Cite
Citations (8)
A Schwann cell has regenerative capabilities and is an important cell in the peripheral nervous system. This microarray study is part of a bioinformatics study that focuses mainly on Schwann cells. Microarray data provide information on differences between microarray-based and experiment-based gene expression analyses. According to microarray data, several genes exhibit increased expression (fold change) but they are weakly expressed in experimental studies (based on morphology, protein and mRNA levels). In contrast, some genes are weakly expressed in microarray data and highly expressed in experimental studies; such genes may represent future target genes in Schwann cell studies. These studies allow us to learn about additional genes that could be used to achieve targeted results from experimental studies. In the current big data study by retrieving more than 5000 scientific articles from PubMed or NCBI, Google Scholar, and Google, 1016 (up- and downregulated) genes were determined to be related to Schwann cells. However, no experiment was performed in the laboratory; rather, the present study is part of a big data analysis. Our study will contribute to our understanding of Schwann cell biology by aiding in the identification of genes. Based on a comparative analysis of all microarray data, we conclude that the microarray could be a good tool for predicting the expression and intensity of different genes of interest in actual experiments.
Schwann cell
Gene chip analysis
Microarray databases
Cite
Citations (9)
Murine transplantation models are used extensively to research immunological rejection and tolerance. Here we studied both murine heart and liver allograft models using microarray technology. We had difficulty in identifying genes related to acute rejections expressed in both heart and liver transplantation models using two standard methodologies: Student's t test and linear models for microarray data (Limma). Here we describe a new method, standardized fold change (SFC), for differential analysis of microarray data. We estimated the performance of SFC, the t test and Limma by generating simulated microarray data 100 times. SFC performed better than the t test and showed a higher sensitivity than Limma where there is a larger value for fold change of expression. SFC gave better reproducibility than Limma and the t test with real experimental data from the MicroArray Quality Control platform and expression data from a mouse cardiac allograft. Eventually, a group of significant overlapping genes was detected by SFC in the expression data of mouse cardiac and hepatic allografts and further validated with the quantitative RT-PCR assay. The group included genes for important reactions of transplantation rejection and revealed functional changes of the immune system in both heart and liver of the mouse model. We suggest that SFC can be utilized to stably and effectively detect differential gene expression and to explore microarray data in further studies.
Gene chip analysis
Fold change
Microarray databases
Cite
Citations (3)
RiceDB，在各种各样的生物上下文注解米饭 microarray 的一个基于万维网的综合数据库被开发。它由八个模块组成。Affymetrix 探查的进程设置关于米饭印射到不同数据库的 RiceMap 模块档案，和到 microarray 代表的基因的目的由经由标识符或每个数据库的就职数字检索注解信息设定；RiceGO 模块显示在一个 microarray 集合和基因本体论之间的协会(去) 范畴；RiceKO 模块被用来基于 KEGG 生物化学的小径注解一个 microarray 集合；RiceDO 模块显示与一个 microarray 集合联系的领域的信息；RiceUP 模块被用来为一个 microarray 集合代表的所有基因获得倡导者序列；调整了基因的 RiceMR 模块表潜力 microRNA 由一个 microarray 集合代表了；RiceCD 和 RiceGF 被用来注解一个 microarray 集合在染色体分发和米饭 paralogous 家庭分发的上下文代表的基因。自动注解的结果与用手的注解主要一致。microarray 数据的生物解释被 RiceDB 的帮助加快。
Microarray databases
Gene chip analysis
Antibody microarray
Cite
Citations (1)
UniGene
Microarray databases
Gene chip analysis
Cite
Citations (2)