5 research outputs found

    Finishing the euchromatic sequence of the human genome

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    The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

    Abstract 3009: Evaluating the role of cell cycle inhibition in celecoxib toxicity through microRNA analysis

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    Abstract Squamous cell carcinoma of the head and neck (SCCHN) is a major health problem worldwide, with over 45,000 new cases predicted to occur in the United States in 2009. Adjuvant therapies that can augment established treatments for SCCHN without causing significant additional morbidity are needed for this disease. Cyclooxygenase-2 (COX-2) inhibition has emerged as a potential adjuvant to established treatment regimens for SCCHN with this concept in mind, as COX-2 is known to be overexpressed in SCCHN. Celecoxib is a COX-2 specific NSAID with known antineoplastic activity against many human tumors, and is currently being used in clinical trials as a chemopreventive agent and adjuvant to established chemotherapy and radiation therapy protocols. The underlying mechanism of celecoxib toxicity remains poorly understood. Previous work from our laboratory has demonstrated marked inhibition of cell cycle progression through the G1 phase and induction of apoptosis following treatment with celecoxib in SCCHN, leading to cell cycle phase-specific toxicity to S and G2 phase cells and induction of p21waf1/cip1 with downstream inhibition of nuclear E2F activity. We therefore hypothesize that decreasing the observed cell cycle inhibition induced by celecoxib treatment may augment celecoxib toxicity by inducing cells to progress through more highly toxic cell cycle phases during celecoxib exposure. Further understanding of the mechanism of G1 arrest following celecoxib administration is therefore needed to effectively exploit this potential toxicity. MicroRNAs have been implicated in the control of cell cycle transition in several recent publications in stem cells and human cancers, and we believe that they may be involved in the cell cycle arrest seen after celecoxib treatment in SCCHN. To evaluate this hypothesis, SCCHN cells were exposed to celecoxib for 24 hours and G1 arrest was confirmed via flow cytometry. RNA and protein were extracted from celecoxib-treated and control cells and microRNA expression profiles were established by quantitative real-time PCR microarray analysis. Alterations in cell cycle gene expression across the cell cycle were assessed by similar microarray, and targets were confirmed by further western blotting and PCR analysis. Correlations between microRNA alterations in celecoxib-treated cells and cell cycle control genes were observed and extrapolated. These data provide a microRNA and cell cycle gene expression signature for celecoxib treatment in SCCHN, and further illustrate the potential role that microRNA expression plays in control of G1 cell cycle checkpoint kinetics and subsequent celecoxib toxicity. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 3009.</jats:p

    Detection of Metastatic Head and Neck Squamous Cell Carcinoma Using the Relative Expression of Tissue-Specific Mir-205

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    The presence of cervical lymph node metastases in head and neck squamous cell carcinoma (HNSCC) is the strongest determinant of patient prognosis. Owing to the impact of nodal metastases on patient survival, a system for sensitive and accurate detection is required. Clinical staging of lymph nodes is far less accurate than pathological staging. Pathological staging also suffers limitations because it fails to detect micrometastasis in a subset of nodal specimens. To improve the sensitivity of existing means of diagnosing metastatic disease, many advocate the use of molecular markers specific for HNSCC cells. MicroRNA (miRNA) are short noncoding segments of RNA that posttranscriptionally regulate gene expression. Approximately one third of all miRNA will exhibit substantial tissue specificity. Using a quantitative reverse transcription-polymerase chain reaction-based assay, we examined the expression of microRNA-205 (mir-205) across tissues and demonstrated that its expression is highly specific for squamous epithelium. We applied this assay to tissue samples, and we could detect metastatic HNSCC in each positive lymph node specimen, whereas benign specimens did not express this marker. When compared to metastases from other primary tumors, HNSCC-positive lymph nodes were distinguishable by the high expression of this marker. Using an in vitro lymphoid tissue model, we were able to detect as little as one squamous cell in a background of 1 million lymphocytes. By combining the sensitivity of quantitative reverse transcription-polymerase chain reaction with the specificity of mir-205 for squamous epithelium, we demonstrate a novel molecular marker for the detection of metastatic HNSCC

    Initial sequencing and analysis of the human genome

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