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A Novel Human Polycomb Binding Site Acts As a Functional Polycomb Response Element in Drosophila

Overview of attention for article published in PLOS ONE, May 2012
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Title
A Novel Human Polycomb Binding Site Acts As a Functional Polycomb Response Element in Drosophila
Published in
PLOS ONE, May 2012
DOI 10.1371/journal.pone.0036365
Pubmed ID
Authors

Suresh Cuddapah, Tae-Young Roh, Kairong Cui, Cynthia C. Jose, Margaret T. Fuller, Keji Zhao, Xin Chen

Abstract

Polycomb group (PcG) proteins are key chromatin regulators implicated in multiple processes including embryonic development, tissue homeostasis, genomic imprinting, X-chromosome inactivation, and germ cell differentiation. The PcG proteins recognize target genomic loci through cis DNA sequences known as Polycomb Response Elements (PREs), which are well characterized in Drosophila. However, mammalian PREs have been elusive until two groups reported putative mammalian PREs recently. Consistent with the existence of mammalian PREs, here we report the identification and characterization of a potential PRE from human T cells. The putative human PRE has enriched binding of PcG proteins, and such binding is dependent on a key PcG component SUZ12. We demonstrate that the putative human PRE carries both genetic and molecular features of Drosophila PRE in transgenic flies, implying that not only the trans PcG proteins but also certain features of the cis PREs are conserved between mammals and Drosophila.

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Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 3%
Germany 1 3%
Unknown 32 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 26%
Student > Doctoral Student 5 15%
Student > Master 4 12%
Student > Bachelor 3 9%
Researcher 3 9%
Other 4 12%
Unknown 6 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 47%
Biochemistry, Genetics and Molecular Biology 8 24%
Environmental Science 1 3%
Computer Science 1 3%
Immunology and Microbiology 1 3%
Other 2 6%
Unknown 5 15%