An anatomic transcriptional atlas of human glioblastoma.
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| Title: | An anatomic transcriptional atlas of human glioblastoma. |
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| Authors: | Puchalski, Ralph B. (AUTHOR), Shah, Nameeta (AUTHOR), Miller, Jeremy (AUTHOR), Dalley, Rachel (AUTHOR), Nomura, Steve R. (AUTHOR), Jae-Guen Yoon (AUTHOR), Smith, Kimberly A. (AUTHOR), Lankerovich, Michael (AUTHOR), Bertagnolli, Darren (AUTHOR), Bickley, Kris (AUTHOR), Boe, Andrew F. (AUTHOR), Brouner, Krissy (AUTHOR), Butler, Stephanie (AUTHOR), Caldejon, Shiella (AUTHOR), Chapin, Mike (AUTHOR), Datta, Suvro (AUTHOR), Dee, Nick (AUTHOR), Desta, Tsega (AUTHOR), Dolbeare, Tim (AUTHOR), Dotson, Nadezhda (AUTHOR) |
| Source: | Science (pre-March 2025). 5/11/2018, Vol. 360 Issue 6389, p660-663. 4p. 1 Color Photograph, 1 Graph. |
| Subjects: | Glioblastoma multiforme, Genetic transcription, Gene expression |
| Abstract: | Glioblastoma is an aggressive brain tumor that carries a poor prognosis. The tumor’s molecular and cellular landscapes are complex, and their relationships to histologic features routinely used for diagnosis are unclear. We present the Ivy Glioblastoma Atlas, an anatomically based transcriptional atlas of human glioblastoma that aligns individual histologic features with genomic alterations and gene expression patterns, thus assigning molecular information to the most important morphologic hallmarks of the tumor. The atlas and its clinical and genomic database are freely accessible online data resources that will serve as a valuable platform for future investigations of glioblastoma pathogenesis, diagnosis, and treatment. [ABSTRACT FROM AUTHOR] |
| Copyright of Science (pre-March 2025) is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Abstract: | Glioblastoma is an aggressive brain tumor that carries a poor prognosis. The tumor’s molecular and cellular landscapes are complex, and their relationships to histologic features routinely used for diagnosis are unclear. We present the Ivy Glioblastoma Atlas, an anatomically based transcriptional atlas of human glioblastoma that aligns individual histologic features with genomic alterations and gene expression patterns, thus assigning molecular information to the most important morphologic hallmarks of the tumor. The atlas and its clinical and genomic database are freely accessible online data resources that will serve as a valuable platform for future investigations of glioblastoma pathogenesis, diagnosis, and treatment. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 00368075 |
| DOI: | 10.1126/science.aaf2666 |
