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The Insulator Protein SU(HW) Fine-Tunes Nuclear Lamina Interactions of the Drosophila Genome

Overview of attention for article published in PLOS ONE, November 2010
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Title
The Insulator Protein SU(HW) Fine-Tunes Nuclear Lamina Interactions of the Drosophila Genome
Published in
PLOS ONE, November 2010
DOI 10.1371/journal.pone.0015013
Pubmed ID
Authors

Joke G. van Bemmel, Ludo Pagie, Ulrich Braunschweig, Wim Brugman, Wouter Meuleman, Ron M. Kerkhoven, Bas van Steensel

Abstract

Specific interactions of the genome with the nuclear lamina (NL) are thought to assist chromosome folding inside the nucleus and to contribute to the regulation of gene expression. High-resolution mapping has recently identified hundreds of large, sharply defined lamina-associated domains (LADs) in the human genome, and suggested that the insulator protein CTCF may help to demarcate these domains. Here, we report the detailed structure of LADs in Drosophila cells, and investigate the putative roles of five insulator proteins in LAD organization. We found that the Drosophila genome is also organized in discrete LADs, which are about five times smaller than human LADs but contain on average a similar number of genes. Systematic comparison to new and published insulator binding maps shows that only SU(HW) binds preferentially at LAD borders and at specific positions inside LADs, while GAF, CTCF, BEAF-32 and DWG are mostly absent from these regions. By knockdown and overexpression studies we demonstrate that SU(HW) weakens genome - NL interactions through a local antagonistic effect, but we did not obtain evidence that it is essential for border formation. Our results provide insights into the evolution of LAD organization and identify SU(HW) as a fine-tuner of genome - NL interactions.

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Geographical breakdown

Country Count As %
Germany 1 <1%
United Kingdom 1 <1%
Denmark 1 <1%
China 1 <1%
Russia 1 <1%
United States 1 <1%
Unknown 111 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 33%
Researcher 26 22%
Student > Master 15 13%
Student > Doctoral Student 7 6%
Student > Bachelor 6 5%
Other 12 10%
Unknown 12 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 58 50%
Biochemistry, Genetics and Molecular Biology 33 28%
Neuroscience 4 3%
Medicine and Dentistry 3 3%
Computer Science 2 2%
Other 5 4%
Unknown 12 10%