Oligonucleotide arrays can provide a broad picture of the state of the cell, by monitoring the expression level of thousands of genes at the same time. It is of interest to develop techniques for extracting useful information from the resulting data sets. Here we report the application of a two-way clustering method for analyzing a data set consisting of the expression patterns of different cell types. Gene expression in 40 tumor and 22 normal colon tissue samples was analyzed with an Affymetrix oligonucleotide array complementary to more than 6,500 human genes. An efficient twoway clustering algorithm was applied to both the genes and the tissues, revealing broad coherent patterns that suggest a high degree of organization underlying gene expression in these tissues. Coregulated families of genes clustered together, as demonstrated for the ribosomal proteins. Clustering also separated cancerous from noncancerous tissue and cell lines from in vivo tissues on the basis of subtle distributed patterns of genes even when expression of individual genes varied only slightly between the tissues. Two-way clustering thus may be of use both in classifying genes into functional groups and in classifying tissues based on gene expression.
By means of a selective DNA amplification technique called polymerase chain reaction, proviral sequences of the human immunodeficiency virus (HIV-1) were identified directly in DNA isolated from peripheral blood mononuclear cells (PBMCs) of persons seropositive but not in DNA isolated from PBMCs of persons seronegative for the virus. Primer pairs from multiple regions of the HIV-1 genome were used to achieve maximum sensitivity of provirus detection. HIV-1 sequences were detected in 100% of DNA specimens from seropositive, homosexual men from whom the virus was isolated by coculture, but in none of the DNA specimens from a control group of seronegative, virus culture-negative persons. However, HIV-1 sequences were detected in 64% of DNA specimens from seropositive, virus culture-negative homosexual men. This method of DNA amplification made it possible to obtain results within 3 days, whereas virus isolation takes up to 3 to 4 weeks. The method may therefore be used to complement or replace virus isolation as a routine means of determining HIV-1 infection.
The p53 protein is apparently central to the development of human cancers because both alleles are often found to be mutated in different tumour types. In addition, wild-type p53 can inhibit transformation by viral and cellular oncogenes in vitro, so p53 has been classified as a tumour suppressor. Investigations of the normal function of p53 have indicated that at least one of its functions could involve the activation of gene expression through the binding of specific DNA-regulatory sequences. Also, overexpression of p53 can mediate growth arrest and repress transcription from a variety of promoters. We demonstrate here both in vivo and in vitro that expression of wild-type p53 specifically represses the activity of promoters whose initiation is dependent on the presence of a TATA box. Promoters whose accurate transcription is directed by a pyrimidine-rich initiator element, however, are immune to the effects of p53. Furthermore, we observe that repression is mediated by an interaction of p53 with basal transcription factor(s). Thus, p53 appears to repress the activity of certain promoters through direct communication with TATA box-dependent basal transcription machinery.
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