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Article details
Title
Crystal Structure of the Human FOXK1a-DNA Complex and Its Implications on the Diverse Binding Specificity of Winged Helix/Forkhead Proteins*
Published in
Journal of Biological Chemistry, April 2006
DOI 10.1074/jbc.m600478200
Pubmed ID
Authors
Abstract

Interleukin enhancer binding factor (ILF) is a human transcription factor and a new member of the winged helix/forkhead family. ILF can bind to purine-rich regulatory motifs such as the human T-cell leukemia virus-long terminal region and the interleukin-2 promoter. Here we report the 2.4 A crystal structure of two DNA binding domains of ILF (FOXK1a) binding to a 16-bp DNA duplex containing a promoter sequence. Electrophoretic mobility shift assay studies demonstrate that two ILF-DNA binding domain molecules cooperatively bind to DNA. In addition to the recognition helix recognizing the core sequences through the major groove, the structure shows that wing 1 interacts with the minor groove of DNA, and the H2-H3 loop region makes ionic bonds to the phosphate group, which permits the recognition of DNA. The structure also reveals that the presence of the C-terminal alpha-helix in place of a typical wing 2 in a member of this family alters the orientation of the C-terminal basic residues (RKRRPR) when binding to DNA outside the core sequence. These results provide a new insight into how the DNA binding specificities of winged helix/forkhead proteins may be regulated by their less conserved regions.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
South Africa 1 2%
Unknown 53 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 13 24%
Student > Bachelor 7 13%
Researcher 6 11%
Professor > Associate Professor 4 7%
Student > Doctoral Student 3 6%
Other 9 17%
Unknown 12 22%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 21 39%
Biochemistry, Genetics and Molecular Biology 14 26%
Chemistry 3 6%
Medicine and Dentistry 2 4%
Computer Science 1 2%
Other 2 4%
Unknown 11 20%