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dc.contributor.authorMatsumoto, Tomonorien
dc.contributor.authorShimizu, Takahiroen
dc.contributor.authorTakai, Atsushien
dc.contributor.authorMarusawa, Hiroyukien
dc.contributor.alternative松本, 知訓ja
dc.contributor.alternative丸澤, 宏之ja
dc.date.accessioned2015-11-13T06:06:20Z-
dc.date.available2015-11-13T06:06:20Z-
dc.date.issued2015-06-15-
dc.identifier.issn2072-6694-
dc.identifier.urihttp://hdl.handle.net/2433/201559-
dc.description.abstractNext-generation sequencing (NGS) technologies have revolutionized cancer genomics due to their high throughput sequencing capacity. Reports of the gene mutation profiles of various cancers by many researchers, including international cancer genome research consortia, have increased over recent years. In addition to detecting somatic mutations in tumor cells, NGS technologies enable us to approach the subject of carcinogenic mechanisms from new perspectives. Deep sequencing, a method of optimizing the high throughput capacity of NGS technologies, allows for the detection of genetic aberrations in small subsets of premalignant and/or tumor cells in noncancerous chronically inflamed tissues. Genome-wide NGS data also make it possible to clarify the mutational signatures of each cancer tissue by identifying the precise pattern of nucleotide alterations in the cancer genome, providing new information regarding the mechanisms of tumorigenesis. In this review, we highlight these new methods taking advantage of NGS technologies, and discuss our current understanding of carcinogenic mechanisms elucidated from such approaches.en
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherMDPIen
dc.rightsThis is an open access article distributed under the Creative Commons Attribution License (CC BY) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en
dc.subjectmutational signatureen
dc.subjectdeep sequencingen
dc.subjectnext-generation sequencingen
dc.subjectinflammation-associated carcinogenesisen
dc.subjectactivation-induced cytidine deaminaseen
dc.subjectAIDen
dc.subjectAPOBECen
dc.subjecttransitionen
dc.subjecttransversionen
dc.subjectnoncancerous tissuesen
dc.titleExploring the Mechanisms of Gastrointestinal Cancer Development Using Deep Sequencing Analysis.en
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitleCancersen
dc.identifier.volume7-
dc.identifier.issue2-
dc.identifier.spage1037-
dc.identifier.epage1051-
dc.relation.doi10.3390/cancers7020823-
dc.textversionpublisher-
dc.identifier.pmid26083936-
dcterms.accessRightsopen access-
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