Differential display

Abstract: Prostate cancer is the most commonly diagnosed malignancy and the second leading cause of cancer-related deaths in the Western male population. Despite the tremendous efforts that have been made to improve the early detection of this disease and to design new treatment modalities, there is still an urgent need for new markers and therapeutic targets for the management of prostate cancer patients. Using differential display analysis to compare the mRNA expression patterns of normal versus tumor tissue of the human prostate, we identified a cDNA, DD3, which is highly overexpressed in 53 of 56 prostatic tumors in comparison to nonneoplastic prostatic tissue of the same patients. Reverse transcription-PCR analysis using DD3-specific primers indicated that the expression of DD3 is very prostate specific because no product could be amplified in 18 different normal human tissues studied. Also, in a sampling of other tumor types and a large number of cell lines, no expression of DD3 could be detected. Molecular characterization of the DD3 transcription unit revealed that alternative splicing and alternative polyadenylation occur. The fact that no extensive open reading frame could be found suggests that DD3 may function as a noncoding RNA. The DD3 gene was mapped to chromosome 9q21-22, and no homology of DD3 to any gene present in the computer databases was found. Our data indicate that DD3 is one of the most prostate cancer-specific genes yet described, and this makes DD3 a promising marker for the early diagnosis of prostate cancer and provides a powerful tool for the development of new treatment strategies for prostate cancer patients.

Abstract: Differential display has been developed as a tool to detect and characterize altered gene expression in eukaryotic cells. The basic principle is to systematically amplify messenger RNAs and then distribute their 3' termini on a denaturing polyacrylamide gel. Here we provide methodological details and examine in depth the specificity, sensitivity and reproducibility of the method. We show that the number of anchored oligo-dT primers can be reduced from twelve to four that are degenerate at the penultimate base from the 3' end. We also demonstrate that using optimized conditions described here, multiple RNA samples from related cells can be displayed simultaneously. Therefore process-specific rather than cell-specific genes could be more accurately identified. These results enable further streamlining of the technique and make it readily applicable to a broad spectrum of biological systems.

Abstract: Summary Background Results of array studies have suggested abnormalities in expression of lipid and myelin-related genes in schizophrenia. Here, we investigated oligodendrocyte-specific and myelination-associated gene expression in schizophrenia and bipolar affective disorder. Methods We used samples from the Stanley brain collection, consisting of 15 schizophrenia, 15 bipolar affective disorder, and 15 control brains. Indexing-based differential display PCR was done to screen for differences in gene expression in schizophrenia patients versus controls. Results were cross-validated with quantitative PCR, which was also used to investigate expression profiles of 16 other oligodendrocyte and myelin genes in schizophrenia and bipolar disorder. These genes were further investigated with an ongoing microarray analysis. Findings Results of differential display and quantitative PCR analysis showed a reduction of key oligodendrocyte-related and myelin-related genes in schizophrenia and bipolar patients; expression changes for both disorders showed a high degree of overlap. Microarray results of the same genes investigated by quantitative PCR correlated well overall. Interpretation Schizophrenia and bipolar brains showed downregulation of key oligodendrocyte and myelination genes, including transcription factors that regulate these genes, compared with control brains. These results lend support to and extend observations from other microarray investigations. Our study also showed similar expression changes to the schizophrenia group in bipolar brains, which thus lends support to the notion that the disorders share common causative and pathophysiological pathways.

Abstract: involves alterations in specific patterns of gene expression. In order to screen for brain region specific mRNAs which are transcriptionally regulated by acute cocaine and amphetamine, PCR differential display was employed. This approach identified a previously uncharacterized mRNA whose relative levels in the striatum are induced four- to fivefold by acute psychomotor stimulant administration. Isolation and characterization of corresponding cDNA clones resulted in complete nucleotide sequence analysis, including prediction of the encoded protein product. Alternate polyA site utilization in the predicted 3′ noncoding region results in the appearance of an RNA doublet, approximately 700 and 900 bases in length, following Northern analysis. A presumed alternate splicing event further generates diversity within the transcripts, and results in the presence or absence of an in-frame 39 base insert within the putative protein coding region. As a result, the predicted translation products are either 129 or 116 amino acids in length. A common hydrophobic leader sequence at the amino terminus is present within each predicted polypeptide, suggesting that the protein product is targeted for entry into the secretory pathway. Basal expression of the RNA doublet is limited to neuroendocrine tissues, further implying that the protein product plays a functional role in both neuronal and endocrine tissues.

Abstract: We have used high-density oligonucleotide arrays to study global circadian gene expression in Drosophila melanogaster. Coupled with an analysis of clock mutant (Clk) flies, a cell line designed to identify direct targets of the CLOCK (CLK) transcription factor and differential display, we uncovered several striking features of circadian gene networks. These include the identification of 134 cycling genes, which contribute to a wide range of diverse processes. Many of these clock or clock-regulated genes are located in gene clusters, which appear subject to transcriptional coregulation. All oscillating gene expression is under clk control, indicating that Drosophila has no clk-independent circadian systems. An even larger number of genes is affected in Clk flies, suggesting that clk affects other genetic networks. As we identified a small number of direct target genes, the data suggest that most of the circadian gene network is indirectly regulated by clk.