Noah E. Berlow
Texas Tech University
56 Papers
113 Citations
Noah E. Berlow is an academic researcher from Texas Tech University. The author has contributed to research in topics: Rhabdomyosarcoma & Medicine. The author has an hindex of 11, co-authored 48 publications.
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Papers
Functionally defined therapeutic targets in diffuse intrinsic pontine glioma
Catherine S. Grasso,Yujie Tang,Yujie Tang,Nathalene Truffaux,Noah E. Berlow,Lining Liu,Marie-Anne Debily,Marie-Anne Debily,Michael J. Quist,Lara E. Davis,Elaine C. Huang,Pamelyn Woo,Anitha Ponnuswami,S. Chen,Tessa Johung,Wenchao Sun,Mari Kogiso,Yuchen Du,Lin Qi,Yulun Huang,Yulun Huang,Marianne Hütt-Cabezas,Katherine E. Warren,Ludivine Le Dret,Paul S. Meltzer,Hua Mao,Martha Quezado,Dannis G. van Vuurden,Jinu Abraham,Maryam Fouladi,Matthew N. Svalina,Nicholas J. Wang,Cynthia Hawkins,Javad Nazarian,Marta M. Alonso,Eric H. Raabe,Esther Hulleman,Paul T. Spellman,Xiao-Nan Li,Charles Keller,Ranadip Pal,Jacques Grill,Jacques Grill,Michelle Monje +43 more
TL;DR: Combination testing of panobinostat and the histone demethylase inhibitor GSK-J4 revealed that the two had synergistic effects, and these data suggest a promising therapeutic strategy for DIPG.
A new approach for prediction of tumor sensitivity to targeted drugs based on functional data
TL;DR: The proposed framework provides a unique input-output based methodology to model a cancer pathway and predict the effectiveness of targeted anti-cancer drugs and can be developed as a viable approach for personalized cancer therapy.
A kinase inhibition map approach for tumor sensitivity prediction and combination therapy design for targeted drugs.
Ranadip Pal,Noah E. Berlow +1 more
- 01 Dec 2011
TL;DR: This article builds sensitivity maps or truth tables for a cell line from experimentally generated tumor sensitivities to kinase inhibitor drugs and uses them to predict the sensitivity of a new drug or drug combinations based on known Kinase inhibitor targets.
An integrated approach to anti-cancer drug sensitivity prediction
Noah E. Berlow,Saad Haider,Qian Wan,Mathew Geltzeiler,Lara E. Davis,Charles Keller,Ranadip Pal +6 more
TL;DR: This paper presents a new approach for drug sensitivity prediction and combination therapy design based on integrated functional and genomic characterizations, and shows a significant gain in prediction accuracy when applied to data from the Cancer Cell Line Encyclopedia.
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IL-13 receptors as possible therapeutic targets in diffuse intrinsic pontine glioma.
Noah E. Berlow,Matthew N. Svalina,Michael J. Quist,Teagan P. Settelmeyer,Viktor Zherebitskiy,Mari Kogiso,Lin Qi,Yuchen Du,Cynthia Hawkins,Esther Hulleman,Xiao-Nan Li,Sakir H. Gultekin,Charles Keller +12 more
TL;DR: Transcript-level analysis and immunohistochemical studies create a foundation for the design of potential new immunotherapies targeting IL-13 cell surface receptors in DIPG, and correlated cytokine and receptor expression with expression of the oncogenes EGFR and c-MET.