• Medientyp: E-Artikel
  • Titel: An anatomic transcriptional atlas of human glioblastoma
  • Beteiligte: Puchalski, Ralph B.; Shah, Nameeta; Miller, Jeremy; Dalley, Rachel; Nomura, Steve R.; Yoon, Jae-Guen; Smith, Kimberly A.; Lankerovich, Michael; Bertagnolli, Darren; Bickley, Kris; Boe, Andrew F.; Brouner, Krissy; Butler, Stephanie; Caldejon, Shiella; Chapin, Mike; Datta, Suvro; Dee, Nick; Desta, Tsega; Dolbeare, Tim; Dotson, Nadezhda; Ebbert, Amanda; Feng, David; Feng, Xu; Fisher, Michael; [...]
  • Erschienen: American Association for the Advancement of Science (AAAS), 2018
  • Erschienen in: Science
  • Sprache: Englisch
  • DOI: 10.1126/science.aaf2666
  • ISSN: 0036-8075; 1095-9203
  • Schlagwörter: Multidisciplinary
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: <jats:title>Anatomically correct tumor genomics</jats:title> <jats:p> Glioblastoma is the most lethal form of human brain cancer. The genomic alterations and gene expression profiles characterizing this tumor type have been widely studied. Puchalski <jats:italic>et al.</jats:italic> created the Ivy Glioblastoma Atlas, a freely available online resource for the research community. The atlas, a collaborative effort between bioinformaticians and pathologists, maps molecular features of glioblastomas, such as transcriptional signatures, to histologically defined anatomical regions of the tumors. The relationships identified in this atlas, in conjunction with associated databases of clinical and genomic information, could provide new insights into the pathogenesis, diagnosis, and treatment of glioblastoma. </jats:p> <jats:p> <jats:italic>Science</jats:italic> , this issue p. <jats:related-article xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="doi" issue="6389" page="660" related-article-type="in-this-issue" vol="360" xlink:href="10.1126/science.aaf2666">660</jats:related-article> </jats:p>