Publications by authors named "Peter P Tolias"

Article Synopsis
  • A major goal of cancer research is to find specific biomarkers that can help diagnose cancer, guide drug development, and predict patient outcomes, but there are still many challenges with microarray data analysis.
  • This study proposes a non-parametric approach combined with noise filtering to more accurately identify genes that show different expression levels between normal and cancerous tissue in various tumor types.
  • The developed noise model not only reduces false positives but also allows for the integration of findings from multiple research groups, enhancing the overall analysis.
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Genome-wide scans for DNA and RNA changes in the HL-60 cell line relative to normal leukocytes were conducted. Microarray-based comparative genome hybridization (CGH) studies were performed with the Spectral Genomics Human Bacterial Artificial Chromosome (BAC) 3MB system. Transcriptional measurements of approximately 12,500 human genes were monitored using Affymetrix U95A GeneChips.

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Over a dozen human genes code for proteins that specifically bind to double-stranded RNA. These proteins have been implicated in several important cellular processes such as transcriptional activation, inhibition of translational initiation, RNA editing, mRNA localization, signal transduction, and posttranscriptional gene silencing (PTGS or RNAi). The recent discovery that PTGS or RNAi is a dsRNA-mediated pathway has further added to the study of dsRNA binding proteins.

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To verify the genome annotation and to create a resource to functionally characterize the proteome, we attempted to Gateway-clone all predicted protein-encoding open reading frames (ORFs), or the 'ORFeome,' of Caenorhabditis elegans. We successfully cloned approximately 12,000 ORFs (ORFeome 1.1), of which roughly 4,000 correspond to genes that are untouched by any cDNA or expressed-sequence tag (EST).

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The availability of a draft human genome sequence and ability to monitor the transcription of thousands of genes with DNA microarrays has necessitated the need for new computational tools that can analyze cis-regulatory elements controlling genes that display similar expression patterns. We have developed a tool designated EZ-Retrieve that can: (i) retrieve any particular region of human genome sequence from the NCBI database and (ii) analyze retrieved sequences for putative transcription factor-binding sites (TFBSs) as they appear on the TRANSFAC database. The tool is web-based, user-friendly and offers both batch sequence retrieval and batch TFBS prediction.

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A major challenge in the post-sequencing era is to elucidate the activity and biological function of genes that reside in the human genome. An important subset includes genes that encode proteins that regulate gene expression or maintain the structural integrity of the genome. Using a novel oligonucleotide-binding substrate as bait, we show the feasibility of a modified functional expression-cloning strategy to identify human cDNAs that encode a spectrum of nucleic acid-binding proteins (NBPs).

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