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David A. Orlando

Researcher at Massachusetts Institute of Technology

Publications -  46
Citations -  14690

David A. Orlando is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Transcription factor & Enhancer. The author has an hindex of 25, co-authored 45 publications receiving 12897 citations. Previous affiliations of David A. Orlando include University of California, Berkeley & Duke University.

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Master Transcription Factors and Mediator Establish Super-Enhancers at Key Cell Identity Genes

TL;DR: In this article, the ESC master transcription factors form unusual enhancer domains at most genes that control the pluripotent state, called super-enhancers, which consist of clusters of enhancers that are densely occupied by the master regulators and Mediator.
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Selective Inhibition of Tumor Oncogenes by Disruption of Super-Enhancers

TL;DR: This work investigates how inhibition of the widely expressed transcriptional coactivator BRD4 leads to selective inhibition ofThe MYC oncogene in multiple myeloma (MM), and finds that super-enhancers were found at key oncogenic drivers in many other tumor cells.

Master Transcription Factors and Mediator Establish Super-Enhancers at Key Cell Identity Genes

TL;DR: It is reported here that the ESC master transcription factors form unusual enhancer domains at most genes that control the pluripotent state, which consist of clusters of enhancers that are densely occupied by the master regulators and Mediator.

Mediator and cohesin connect gene expression and chromatin architecture

TL;DR: It is reported that mediator and cohesin physically and functionally connect the enhancers and core promoters of active genes in murine embryonic stem cells.
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A High-Resolution Root Spatiotemporal Map Reveals Dominant Expression Patterns

TL;DR: Methods that combine microarray expression profiles of a high-resolution set of developmental time points within a single Arabidopsis root and a comprehensive map of nearly all root cell types demonstrate transcriptionally rich and complex programs that define Arabidrosis root development in both space and time.