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Hilary A. Coller

Researcher at University of California, Los Angeles

Publications -  103
Citations -  28264

Hilary A. Coller is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Cell cycle & Cellular differentiation. The author has an hindex of 40, co-authored 95 publications receiving 25863 citations. Previous affiliations of Hilary A. Coller include Rutgers University & University of California.

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Molecular classification of cancer: class discovery and class prediction by gene expression monitoring.

TL;DR: A generic approach to cancer classification based on gene expression monitoring by DNA microarrays is described and applied to human acute leukemias as a test case and suggests a general strategy for discovering and predicting cancer classes for other types of cancer, independent of previous biological knowledge.
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Guidelines for the use and interpretation of assays for monitoring autophagy

Daniel J. Klionsky, +1287 more
- 01 Apr 2012 - 
TL;DR: These guidelines are presented for the selection and interpretation of methods for use by investigators who aim to examine macroautophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes.
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The Common Feature of Leukemia-Associated IDH1 and IDH2 Mutations Is a Neomorphic Enzyme Activity Converting α-Ketoglutarate to 2-Hydroxyglutarate

TL;DR: It is reported that tumor 2HG is elevated in a high percentage of patients with cytogenetically normal acute myeloid leukemia (AML), and AML patients with IDH mutations display a significantly reduced number of other well characterized AML-associated mutations and/or associated chromosomal abnormalities, potentially implicating IDH mutation in a distinct mechanism of AML pathogenesis.
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Expression analysis with oligonucleotide microarrays reveals that MYC regulates genes involved in growth, cell cycle, signaling, and adhesion

TL;DR: The genes that displayed an expression profile most similar to endogenous Myc in microarray-based expression profiling of myeloid differentiation models were highly enriched for MYC target genes.