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Christine S. Cheng

Researcher at Boston University

Publications -  31
Citations -  3522

Christine S. Cheng is an academic researcher from Boston University. The author has contributed to research in topics: Transcription factor & Regulation of gene expression. The author has an hindex of 17, co-authored 31 publications receiving 3068 citations. Previous affiliations of Christine S. Cheng include Broad Institute & University of California, San Diego.

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Higher-Order Inter-chromosomal Hubs Shape 3D Genome Organization in the Nucleus

TL;DR: This work develops split-pool recognition of interactions by tag extension (SPRITE), a method that enables genome-wide detection of higher-order interactions within the nucleus and generates a global model whereby nuclear bodies act as inter-chromosomal hubs that shape the overall packaging of DNA in the nucleus.
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A Unifying Model for the Selective Regulation of Inducible Transcription By CpG Islands and Nucleosome Remodeling

TL;DR: A broad mechanistic framework for the transcriptional induction of mammalian primary response genes by Toll-like receptors and other stimuli is described, which includes CpG-island promoters, which facilitate promiscuous induction from constitutively active chromatin without a requirement for SWI/SNF nucleosome remodeling complexes.
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Histone methylation-dependent mechanisms impose ligand dependency for gene activation by nuclear receptors.

TL;DR: An unexpected and general strategy that is based on the requirement for specific cohorts of inhibitory histone methyltransferases to impose gene-specific gatekeeper functions that prevent unliganded nuclear receptors and other classes of regulated transcription factors from binding to their target gene promoters and causing constitutive gene activation in the absence of stimulating signals is reported.
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Akt and Autophagy Cooperate to Promote Survival of Drug-Resistant Glioma

TL;DR: The dual PI3K-mTOR inhibitor PI-103 induces autophagy in a form of glioma that is resistant to therapy, and elicited cell death with combinations of drugs that are either now in use in patients or in clinical trials, raising the hope that this approach could be readily translatable to human therapy.