Temporal profiling of therapy resistance in human medulloblastoma identifies novel targetable drivers of recurrence | Zendy

David Bakhshinyan | Zendy; Ashley Adile | Zendy; Jeff Liu | Zendy; William D. Gwynne | Zendy; Yujin Suk | Zendy; Stefan Custers | Zendy; Ian Burns | Zendy; Mohini Singh | Zendy; Nicole McFarlane | Zendy; Minomi Subapanditha | Zendy; Maleeha Qazi | Zendy; Parvez Vora | Zendy; Michelle Kameda-Smith | Zendy; Neil Savage | Zendy; Kim L. Desmond | Zendy; Nazanin Tatari | Zendy; Damian Tran | Zendy; Mathieu Seyfrid | Zendy; Kristin J. Hope | Zendy; Nicholas A. Bock | Zendy; Chitra Venugopal | Zendy; Gary D. Bader | Zendy; Sheila K. Singh | Zendy

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Temporal profiling of therapy resistance in human medulloblastoma identifies novel targetable drivers of recurrence

Author(s) -

David Bakhshinyan,

Ashley Adile,

Jeff Liu,

William D. Gwynne,

Yujin Suk,

Stefan Custers,

Ian Burns,

Mohini Singh,

Nicole McFarlane,

Minomi Subapanditha,

Maleeha Qazi,

Parvez Vora,

Michelle Kameda-Smith,

Neil Savage,

Kim L. Desmond,

Nazanin Tatari,

Damian Tran,

Mathieu Seyfrid,

Kristin J. Hope,

Nicholas A. Bock,

Chitra Venugopal,

Gary D. Bader,

Sheila K. Singh

Publication year - 2021

Publication title -

science advances

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 5.928

H-Index - 146

ISSN - 2375-2548

DOI - 10.1126/sciadv.abi5568

Subject(s) - medulloblastoma , profiling (computer programming) , gene expression profiling , medicine , oncology , bioinformatics , computational biology , cancer research , gene , biology , gene expression , computer science , genetics , operating system

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