Duke DNaseI HS Tracks
 
Duke DNaseI Hypersensitivity in CD4+ T-cells tracks   (All Regulation tracks)

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Duke DNase Sig  Duke DNaseI Hypersensitivity Signal in CD4+ T-cells  
Duke DNase Sites  Duke DNaseI Hypersensitive Sites in CD4+ T-cells  
Assembly: Human May 2004 (NCBI35/hg17)

Overview

This super-track combines related tracks of DNaseI sensitivity data from Duke University. These tracks contain DNaseI analysis of CD4+ T-cells, using DNase-sequencing and DNase-chip methods. CD4+ T-cells, also known as helper or inducer T cells, are involved in generating an immune response. CD4+ T-cells are also one of the primary targets of the HIV virus.

DNaseI has long been used to map general chromatin accessibility and the DNaseI "hyperaccessibility" or "hypersensitivity" that is a universal feature of active cis-regulatory sequences. The use of this method has led to the discovery of functional regulatory elements that include enhancers, insulators, promotors, locus control regions and novel elements. DNaseI hypersensitivity signifies chromatin accessibility following binding of trans-acting factors in place of a canonical nucleosome, and is a universal feature of active cis-regulatory sequences in vivo.

Credits

These annotations were created by Alan Boyle, Terry Furey, and Greg Crawford at Duke University's Institute for Genome Sciences & Policy (IGSP).

References

Boyle AP, Davis S, Shulha HP, Meltzer P, Margulies EH, Weng Z, Furey TS, Crawford GE. High-resolution mapping and characterization of open chromatin across the genome. Cell. 2008 Jan 25;132(2):311-22.

Crawford GE, Davis S, Scacheri PC, Renaud G, Halawi MJ, Erdos MR, Green R, Meltzer PS, Wolfsberg TG, Collins FS. DNase-chip: a high-resolution method to identify DNase I hypersensitive sites using tiled microarrays. Nat Methods. 2006 Jul;3(7):503-9.

Crawford GE, Holt IE, Whittle J, Webb BD, Tai D, Davis S, Margulies EH, Chen Y, Bernat JA, Ginsburg D, Zhou D, Luo S, Vasicek TJ, Daly MJ, Wolfsberg TG, Collins FS. Genome-wide mapping of DNase hypersensitive sites using massively parallel signature sequencing (MPSS). Genome Res. 2006 Jan;16(1):123-31.