Combination of PCR subtraction and cDNA microarray for differential gene expression profiling.

PCR subtraction hybridization has been used effectively to enrich and single out differentially expressed genes. However identification of these genes by means of cloning and sequencing individual cDNAs is a tedious and lengthy process. In this report, an attempt has been made to combine the use of PCR select cDNA subtraction hybridization and cDNA microarrays to identify differentially expressed genes using a nonradioactive chemiluminescent detection method. mRNA from human prolactin (hPRL) or human prolactin antagonist (hPRL-G129R) treated and non-treated breast cancer cells was isolated, and cDNAs were synthesized and used for the PCR subtraction to enrich the differentially expressed genes in the treated cells. The PCR-amplified and subtracted cDNA pools were purified and labeled using the digoxigenin method. Labeled cDNAs were hybridized to a human apoptosis cDNA microarray membrane and identified by chemiluminescence. The results suggest that the strategy of combining all three methods will allow for a more efficient, nonradioactive way of identifying differentially expressed genes in target cells.     

Methods for the identification of differentially expressed genes in human post-mortem brain

Microarrays can be used to monitor the expression of thousands of genes simultaneously. This technique requires high-quality RNA which can be extracted from a variety of tissues and cells including post-mortem human brain. Given the vast amount of information obtained from microarray studies, it is critical to establish valid analysis techniques to identify differentially expressed genes. This technical report describes the basic methodology and analyses used to identify such genes in human post-mortem brain tissue.     

Differences in gene expression between B-cell chronic lymphocytic leukemia and normal B cells: a meta-analysis of three microarray studies

MOTIVATION: A major focus of current cancer research is to identify genes that can be used as markers for prognosis and diagnosis, and as targets for therapy. Microarray technology has been applied extensively for this purpose, even though it has been reported that the agreement between microarray platforms is poor. A critical question is: how can we best combine the measurements of matched genes across microarray platforms to develop diagnostic and prognostic tools related to the underlying biology? RESULTS: We introduce a statistical approach within a Bayesian framework to combine the microarray data on matched genes from three investigations of gene expression profiling of B-cell chronic lymphocytic leukemia (CLL) and normal B cells (NBC) using three different microarray platforms, oligonucleotide arrays, cDNA arrays printed on glass slides and cDNA arrays printed on nylon membranes. Using this approach, we identified a number of genes that were consistently differentially expressed between CLL and NBC samples.     

Insights from the clustering of microarray data associated with the heart disease

Heart failure (HF) is the major of cause of mortality and morbidity in the developed world. Gene expression profiles of animal model of heart failure have been used in number of studies to understand human cardiac disease. In this study, statistical methods of analysing microarray data on cardiac tissues from dogs with pacing induced HF were used to identify differentially expressed genes between normal and two abnormal tissues. The unsupervised techniques principal component analysis (PCA) and cluster analysis were explored to distinguish between three different groups of 12 arrays and to separate the genes which are up regulated in different conditions among 23912 genes in heart failure canines'' microarray data. It was found that out of 23912 genes, 1802 genes were differentially expressed in the three groups at 5% level of significance and 496 genes were differentially expressed at 1% level of significance using one way analysis of variance (ANOVA). The genes clustered using PCA and clustering analysis were explored in the paper to understand HF and a small number of differentially expressed genes related to HF were identified.     

Use of SMART-generated cDNA for gene expression studies in multiple human tumors

We demonstrate here that SMART PCR-amplified cDNAs arrayed on a nylon membrane are suitable for high-throughput tissue expression profiling when starting biological materials are limited. We show that SMART cDNA accurately reflects gene expression patterns found in total RNA by comparing the expression level of several target genes in SMART PCR-amplified cDNAs and their corresponding total RNAs. We also arrayed cDNAs from 68 matched tumor and normal samples on a nylon membrane to determine whether SMART PCR-amplified cDNA could be used for detecting differentially expressed genes in these tissues. These arrays containing normalized tumor and normal cDNAs were hybridized with probes for glutathione peroxidase and gelsolin. The hybridization results revealed cancer-related and patient-specific gene expression differences between tumor and normal tissues for these genes. These studies show that SMART PCR-amplified cDNAs maintain the complexity of the original mRNA population and are thus suitable for high-throughput studies to compare the relative abundance of target genes and to detect differentially expressed genes in a wide variety of tissues simultaneously.     

cDNA surveying of specific tissue expression of human chromosome 19 sequences.

cDNA surveying is a straightforward approach for identifying sequences in genomic clones expressed in specific tissues. It has been applied to a subchromosomal region of human chromosome 19 (19q13.2-q13.4), a region that contains several known expressed sequences including the locus for myotonic dystrophy (DM). Genomic clones were selected from this region by probing a human placental cosmid library with a chromosome 19q-specific minisatellite sequence, or human genomic clones were isolated from a cosmid library constructed from a human chromosome 19q13.2-q13.3 hamster hybrid cell line using human repetitive DNA as probe. Pooled cDNAs synthesized from RNA of specific tissues characteristically affected in DM were depleted in repetitive sequences and used as hybridization probes against gridded cosmid arrays. DNA from the cDNA-positive cosmid clones was transferred to nylon filters and reprobed with cDNAs to identify restriction fragments that were expressed in these tissues. Hybridizing restriction fragments were subcloned, sequenced, and demonstrated to be nonrepetitive. Primer pairs complementary to subcloned sequences were constructed and used for PCR amplification of cDNA synthesized from RNA of tissues affected in myotonic dystrophy. PCR products were sequenced to verify the identity of expressed genomic DNA and its corresponding cDNA.     

Isolation of developmentally regulated genes by differential display screening of cDNA libraries.

mRNA differential display RT-PCR has been extensively used for the isolation of genes differentially expressed between RNA populations. We have assessed its utility for the identification of developmentally regulated genes in plasmid cDNA libraries derived from individual tissues dissected from early mouse embryos. Using plasmid Southern blot hybridisation as a secondary screen, we are able to identify such genes and show by whole-mount in situ hybridisation that their expression pattern is that expected from the differential display profile.     

Identification and analysis of differentially expressed cDNAs during nonself-competitive interaction between Phlebiopsis gigantea and Heterobasidion parviporum

The molecular factors regulating interspecific interaction between the saprotrophic biocontrol fungus Phlebiopsis gigantea and the conifer pathogen Heterobasidion parviporum were investigated. We constructed cDNA libraries and used expressed sequence tag analysis for the identification and characterization of genes expressed during the self and nonself-hyphal interaction. cDNA clones from either the pathogen or biocontrol agent were arrayed on nylon membrane filters and differentially screened with cDNA probes made from mycelia forming the barrage zone during nonself-interactions, mycelia growing outside the barrage zones or monocultures. BlastX analysis of the differentially expressed clones led to the identification of genes with diverse functions, including those with potential as virulence factors, such as hydrophobins. Because of the high sequence conservation (r2 = 0.81) between P. gigantea and H. parviporum, a selected number of genes from either fungus were used to monitor the expression profile under varying interaction conditions by virtual northern blot. The results are discussed with respect to the potential role of the induced genes during the nonself-competitive interaction for space and nutrients between P. gigantea and H. parviporum.     

鼻咽癌上皮细胞株HNE1差异表达基因的分离与鉴定

为了分离鼻咽癌差异表达基因 ,应用抑制性扣除杂交技术 ,在正向抑制性扣除杂交中 ,以鼻咽癌上皮细胞株HNE1cDNA作为检测子 ,以人胚鼻咽上皮细胞cDNA作为驱赶子 ;在反向抑制性扣除杂交中 ,以人胚鼻咽上皮细胞cDNA作为检测子 ,以鼻咽癌上皮细胞株HNE1cDNA作为驱赶子 ,分别通过抑制性扣除杂交 ,构建了鼻咽癌上皮细胞株HNE1表达下调和表达上调的两个扣除cDNA文库 .从鼻咽癌相关的扣除cDNA文库中随机挑取 1 2 0 0个克隆 ,采用菌落PCR扩增其插入cDNA片段 ,自动点膜制备成cDNA微阵列膜 ,分别用鼻咽癌上皮细胞株HNE1、人胚鼻咽上皮mRNA经逆转录标记cDNA探针 ,分别与cDNA微阵列膜杂交 ,通过杂交信号的自动扫描分析 ,对杂交信号存在 5倍差异的克隆进行测序 ,获得了 1 0个鼻咽癌差异表达基因的cDNA片段 ,其中 3个为新基因序列 ,其GenBank登录号为 :AF5 1 0 1 88、AF5 1 0 1 89和AF5 1 0 1 90 ,7个代表已知基因序列 .采用RT PCR证实S1 0 0A8,CK1 9和RBP1基因在人胚鼻咽上皮中高表达而在鼻咽癌细胞株HNE1中低表达 .这些结果显示上述基因可能是鼻咽癌发生的重要因素     

A Novel mRNA Level Subtraction Method for Quick Identification of Target-Orientated Uniquely Expressed Genes Between Peanut Immature Pod and Leaf

Subtraction technique has been broadly applied for target gene discovery. However, most current protocols apply relative differential subtraction and result in great amount clone mixtures of unique and differentially expressed genes. This makes it more difficult to identify unique or target-orientated expressed genes. In this study, we developed a novel method for subtraction at mRNA level by integrating magnetic particle technology into driver preparation and tester–driver hybridization to facilitate uniquely expressed gene discovery between peanut immature pod and leaf through a single round subtraction. The resulting target clones were further validated through polymerase chain reaction screening using peanut immature pod and leaf cDNA libraries as templates. This study has resulted in identifying several genes expressed uniquely in immature peanut pod. These target genes can be used for future peanut functional genome and genetic engineering research.     

A generalized likelihood ratio test to identify differentially expressed genes from microarray data

MOTIVATION: Microarray technology emerges as a powerful tool in life science. One major application of microarray technology is to identify differentially expressed genes under various conditions. Currently, the statistical methods to analyze microarray data are generally unsatisfactory, mainly due to the lack of understanding of the distribution and error structure of microarray data. RESULTS: We develop a generalized likelihood ratio (GLR) test based on the two-component model proposed by Rocke and Durbin to identify differentially expressed genes from microarray data. Simulation studies show that the GLR test is more powerful than commonly used methods, like the fold-change method and the two-sample t-test. When applied to microarray data, the GLR test identifies more differentially expressed genes than the t-test, has a lower false discovery rate and shows more consistency over independently repeated experiments. AVAILABILITY: The approach is implemented in software called GLR, which is freely available for downloading at http://www.cc.utah.edu/~jw27c60