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Department of Health and Human ServicesNational Institutes of HealthNational Heart Lung and Blood Institute
Genome-wide Mapping of Histone H3 Modifications in Human T Cells
NHLBI Division of Intramural ResearchLaboratory of Molecular Immunology
Chr:        position:     

To see "High Resolution Profiles of Histone Methylations in the Human Genome",
use this recent data set [Cell 2007 (129) 823-837]

The genome-wide distributions of K9/K14 di-acetylated histone H3 (H3Ac2), K4 trimethylated histone H3 (H3K4me3), and K27 trimethylated histone H3 (H3K27me3) in resting and activated human T lymphocytes were mapped by Genome-wide MApping Technique (GMAT), a combination of chromatin immunoprecipitation and SAGE technique. The level of the histone modification at a genetic locus is positively correlated with the detection frequency of a 21-bp sequence tag identified by the GMAT analysis. The detection frequency (y-axis) is plotted against the chromosome coordinate (x-axis). The bottom panel represents a gene map generated by the UCSC genome Browser.

References:

  1. Proc. Natl. Acad. Sci USA 2006 (103) 15782-15787
  2. Genes & Dev. 2005 (19) 542-552
  3. Nat. Biotechnol. 2004 (22) 1013-1016

Tips for using this browser

If you know the position of a gene on a chromosome, choose the chromosome number from the pull-down box on the left side and enter the genomic position in the blank box in the middle. The size of query should not exceed 200,000 bp because of the limitation of server resources. Examples of valid queries are as following:

  1. A specific position (e.g., 15000)
  2. A range (e.g., 62000-70000 or 62,000-70,000)

If you do not know the position of your gene, please find the information from the UCSC Genome Browser. The GMAT analysis are based on the July 2003 human reference sequence (UCSC hg16/NCBI build 34).

System requirements:

Adobe SVG viewer 3.0 or above is required to view and print high quality GMAT figures. If you cannot see the figures properly, please download SVG viewer plug-in from Adobe website. We recommend using Internet Explorer 5.x, Mozilla Firefox 1.5 and Netscape 4.7 for PC, Internet Explorer 5.x and Netscape 7.x for Mac computers.

If you have any questions, please contact Keji Zhao at zhaok@nhlbi.nih.gov