目次
WordNet
- right of a warehouseman to retain goods until all storage charges have been paid
PrepTutorEJDIC
- =houseboy / 《英》(病院の)インターン
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出典(authority):フリー百科事典『ウィキペディア（Wikipedia）』「2015/12/15 21:29:08」(JST)
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English Journal
- Leukocyte-adjusted epigenome-wide association studies of blood from solid tumor patients.
- Langevin SM1, Houseman EA2, Accomando WP3, Koestler DC4, Christensen BC5, Nelson HH6, Karagas MR4, Marsit CJ5, Wiencke JK7, Kelsey KT8.Author information 1Department of Environmental Health; University of Cincinnati College of Medicine; Cincinnati, OH USA; Department of Epidemiology; Brown University; Providence, RI USA.2Department of Biostatistics; Oregon State University College of Public Health and Human Sciences; Corvallis, OR USA.3Department of Pathology & Laboratory Medicine; Brown University; Providence, RI USA.4Department of Community and Family Medicine; Section of Biostatistics and Epidemiology; Dartmouth Medical School; Lebanon, NH USA.5Department of Community and Family Medicine; Section of Biostatistics and Epidemiology; Dartmouth Medical School; Lebanon, NH USA; Department of Pharmacology and Toxicology; Dartmouth Medical School; Lebanon, NH USA.6Division of Epidemiology and Community Health; University of Minnesota Masonic Cancer Center; Minneapolis, MN USA.7Department of Neurological Surgery; University of California San Francisco; San Francisco, CA USA.8Department of Epidemiology; Brown University; Providence, RI USA; Department of Pathology & Laboratory Medicine; Brown University; Providence, RI USA.AbstractEpigenome-wide studies of DNA methylation using blood-derived DNA from cancer patients are complicated by the heterogeneity of cell types within blood and the associated cell lineage specification of DNA methylation signatures. Here, we applied a novel set of analytic approaches to assess the association between cancer case-status and DNA methylation adjusted for leukocyte variation using blood specimens from three case-control cancer studies (bladder: 223 cases, 205 controls; head and neck: 92 cases, 92 controls; and ovarian: 131 cases, 274 controls). Using previously published data on leukocyte-specific CpG loci and a recently described approach to deconvolute subject-specific blood composition, we performed an epigenome-wide analysis to examine the association between blood-based DNA methylation patterns and each of the three aforementioned solid tumor types adjusted for cellular heterogeneity in blood. After adjusting for leukocyte profile in our epigenome-wide analysis, the omnibus association between case-status and methylation was significant for all three studies (bladder cancer: P = 0.047; HNSCC: P = 0.013; ovarian cancer: P = 0.0002). Subsequent analyses revealed that CpG sites associated with cancer were enriched for transcription factor binding motifs involved with cancer-associated pathways. These results support the existence of cancer-associated DNA methylation profiles in the blood of solid tumor patients that are independent of alterations in normal leukocyte distributions. Adoption of the methods developed here will make it feasible to rigorously assess the influence of variability of normal leukocyte profiles when investigating cancer related changes in blood-based epigenome-wide association studies.
- Epigenetics : official journal of the DNA Methylation Society.Epigenetics.2014 Mar 26;9(6). [Epub ahead of print]
- Epigenome-wide studies of DNA methylation using blood-derived DNA from cancer patients are complicated by the heterogeneity of cell types within blood and the associated cell lineage specification of DNA methylation signatures. Here, we applied a novel set of analytic approaches to assess the associ
- PMID 24671036
- A novel approach to the discovery of survival biomarkers in glioblastoma using a joint analysis of DNA methylation and gene expression.
- Smith AA1, Huang YT2, Eliot M2, Houseman EA3, Marsit CJ4, Wiencke JK5, Kelsey KT6.Author information 1Department of Pathology and Laboratory Medicine; Brown University; Providence, RI USA.2Department of Epidemiology; Brown University; Providence, RI USA.3Department of Public Health; Oregon State University; Corvallis, OR USA.4Department of Pharmacology and Toxicology; Geisel School of Medicine at Dartmouth; Hanover, NH USA; Department of Community and Family Medicine and Section of Biostatistics and Epidemiology; Geisel School of Medicine at Dartmouth; Dartmouth, NH USA.5Department of Neurological Surgery; University of California at San Francisco; San Francisco, CA USA.6Department of Pathology and Laboratory Medicine; Brown University; Providence, RI USA; Department of Epidemiology; Brown University; Providence, RI USA.AbstractGlioblastoma multiforme (GBM) is the most aggressive of all brain tumors with a median survival of less than 1.5 years. Recently, epigenetic alterations were found to play key roles in both glioma genesis and clinical outcome, demonstrating the need to integrate genetic and epigenetic data in predictive models. To enhance current models through discovery of novel predictive biomarkers, we employed a genome-wide, agnostic strategy to specifically capture both methylation-directed changes in gene expression and alternative associations of DNA methylation with disease survival in glioma. Human GBM-associated DNA methylation, gene expression, IDH1 mutation status, and survival data were obtained from The Cancer Genome Atlas. DNA methylation loci and expression probes were paired by gene, and their subsequent association with survival was determined by applying an accelerated failure time model to previously published alternative and expression-based association equations. Significant associations were seen in 27 unique methylation/expression pairs with expression-based, alternative, and combinatorial associations observed (10, 13, and 4 pairs, respectively). The majority of the predictive DNA methylation loci were located within CpG islands, and all but three of the locus pairs were negatively correlated with survival. This finding suggests that for most loci, methylation/expression pairs are inversely related, consistent with methylation-associated gene regulatory action. Our results indicate that changes in DNA methylation are associated with altered survival outcome through both coordinated changes in gene expression and alternative mechanisms. Furthermore, our approach offers an alternative method of biomarker discovery using a priori gene pairing and precise targeting to identify novel sites for loci-specific therapeutic intervention.
- Epigenetics : official journal of the DNA Methylation Society.Epigenetics.2014 Mar 26;9(6). [Epub ahead of print]
- Glioblastoma multiforme (GBM) is the most aggressive of all brain tumors with a median survival of less than 1.5 years. Recently, epigenetic alterations were found to play key roles in both glioma genesis and clinical outcome, demonstrating the need to integrate genetic and epigenetic data in predic
- PMID 24670968
- Quantitative reconstruction of leukocyte subsets using DNA methylation.
- Accomando WP, Wiencke JK, Houseman EA, Nelson HH, Kelsey KT.AbstractBACKGROUND: Cell lineage-specific DNA methylation patterns distinguish normal human leukocyte subsets and can be used to detect and quantify these subsets in peripheral blood. We have developed an approach that uses DNA methylation to simultaneously quantify multiple leukocyte subsets, enabling the investigation of immune modulations in virtually any blood sample including archived samples previously precluded from such analysis. Here we assess the performance characteristics and validity of this approach.
- Genome biology.Genome Biol.2014 Mar 5;15(3):R50. [Epub ahead of print]
- BACKGROUND: Cell lineage-specific DNA methylation patterns distinguish normal human leukocyte subsets and can be used to detect and quantify these subsets in peripheral blood. We have developed an approach that uses DNA methylation to simultaneously quantify multiple leukocyte subsets, enabling the
- PMID 24598480
Japanese Journal
- Intraspecific seed interactions alter seedling emergence of Lespedeza cuneata under field conditions
- Population Ecology 57(3), 539-544, 2015-07
- NAID 40020565563
- 2SBA-04 単粒子クライオ電子顕微鏡法による 8Å 分解能サポウイルスキャプシド構造とホモロジーモデリング(2SBA 日本顕微鏡学会合同シンポジウム:原子レベル分解能へ向かう生物電子顕微鏡技術,シンポジウム,第52回日本生物物理学会年会(2014年度))
- 生物物理 54(supplement1-2), S126, 2014
- NAID 110009932138
- 3E0948 単粒子クライオ電子顕微鏡解析によるサポウイルスキャプシドの8-A^^○構造(蛋白質-構造,口頭発表,日本生物物理学会第50回年会(2012年度))
- 生物物理 52(supplement), S64, 2012
- NAID 110009584829
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