实验库 数据相关信息

题目:
Transcription profiling of Arabidopsis to assess spiking
ID:
状态:
发布时间Nov. 23, 2004 , 更新时间 May 2, 2014 , 提交时间 Aug. 5, 2004,
物种:
Arabidopsis thaliana
摘要:
Transcript profiling is crucial to study biological systems and various platforms have been implemented to survey mRNAs at the genome scale. We have assessed the characteristics of the CATMA microarray designed for Arabidopsis thaliana transcriptome analysis, and compared it with two commercial platforms from Agilent and Affymetrix. The CATMA array consists of gene-specific sequence tags of 150 to 500 base pairs, the Agilent (Arabidopsis 2) array of 60mer oligonucleotides, and the Affymetrix gene chip (ATH1) of 25mer oligonucleotide sets. We have matched each probe repertoire with the Arabidopsis genome annotation (TIGR release 5.0) and determined the correspondence between them. Array performance was analyzed by hybridization with labeled target derived from eight RNA samples made of shoot total RNA spiked with a calibrated series of 14 control transcripts. CATMA arrays showed the largest dynamic range extending over three to four logs. Agilent and Affymetrix arrays displayed a narrower range because signal saturation occurred for transcripts at concentrations beyond 1000 copies per cell. Sensitivity is comparable for all three platforms. For Affymetrix genechip data, the RMA software package outperformed MAS 5.0 for all investigated criteria, confirming that the information provided by the mismatch oligonucleotides has no added value analysis. In addition, taking advantage of replicates in our dataset we conducted a robust in statistical analysis of the platform propensity to yield false positive and negative differentially expressed genes, and all platforms gave satisfactory results. With adequate production and processing management, the CATMA array may offer a significant cost benefit to potential users.
实验种类:
transcription profiling by array
样本量:
8
实验设计:
无设计数据
数据号:
E-MEXP-197
数据状态:

无法自动分析,您可以尝试手动分析数据。

联系方式

山东省济南市 高新区 崇华路359号 三庆世纪财富中心C1115室

电话: 0531-88819269

E-mail: product@genelibs.com

微信公众号

关注微信订阅号,实时查看信息,关注医学生物学动态。