<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Duncan CG</submitter><funding>NCI NIH HHS</funding><funding>NINDS NIH HHS</funding><pagination>22</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC2685141</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>2</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Microorganisms have been associated with many types of human diseases; however, a significant number of clinically important microbial pathogens remain to be discovered.&lt;h4>Methods&lt;/h4>We have developed a genome-wide approach, called Digital Karyotyping Microbe Identification (DK-MICROBE), to identify genomic DNA of bacteria and viruses in human disease tissues. This method involves the generation of an experimental DNA tag library through Digital Karyotyping (DK) followed by analysis of the tag sequences for the presence of microbial DNA content using a compiled microbial DNA virtual tag library.&lt;h4>Results&lt;/h4>To validate this technology and to identify pathogens that may be associated with human cancer pathogenesis, we used DK-MICROBE to determine the presence of micr</pubmed_abstract><journal>BMC medical genomics</journal><pubmed_title>Identification of microbial DNA in human cancer.</pubmed_title><pmcid>PMC2685141</pmcid><funding_grant_id>P50 CA108786</funding_grant_id><funding_grant_id>R01 NS052507</funding_grant_id><funding_grant_id>R01 CA121113</funding_grant_id><funding_grant_id>P20 CA096890</funding_grant_id><funding_grant_id>R01 CA118822</funding_grant_id><funding_grant_id>P50 NS020023</funding_grant_id><funding_grant_id>P30 CA014236</funding_grant_id><funding_grant_id>R37 CA011898</funding_grant_id><pubmed_authors>Lin JC</pubmed_authors><pubmed_authors>Bigner D</pubmed_authors><pubmed_authors>Kinzler KW</pubmed_authors><pubmed_authors>Di C</pubmed_authors><pubmed_authors>Edwards J</pubmed_authors><pubmed_authors>Duncan CG</pubmed_authors><pubmed_authors>Riggins GJ</pubmed_authors><pubmed_authors>Velculescu VE</pubmed_authors><pubmed_authors>Cummins J</pubmed_authors><pubmed_authors>Wang TL</pubmed_authors><pubmed_authors>Vogelstein B</pubmed_authors><pubmed_authors>Kopelovich L</pubmed_authors><pubmed_authors>Leary RJ</pubmed_authors><pubmed_authors>Yan H</pubmed_authors><pubmed_authors>Schaefer CF</pubmed_authors></additional><is_claimable>false</is_claimable><name>Identification of microbial DNA in human cancer.</name><description>&lt;h4>Background&lt;/h4>Microorganisms have been associated with many types of human diseases; however, a significant number of clinically important microbial pathogens remain to be discovered.&lt;h4>Methods&lt;/h4>We have developed a genome-wide approach, called Digital Karyotyping Microbe Identification (DK-MICROBE), to identify genomic DNA of bacteria and viruses in human disease tissues. This method involves the generation of an experimental DNA tag library through Digital Karyotyping (DK) followed by analysis of the tag sequences for the presence of microbial DNA content using a compiled microbial DNA virtual tag library.&lt;h4>Results&lt;/h4>To validate this technology and to identify pathogens that may be associated with human cancer pathogenesis, we used DK-MICROBE to determine the presence of micr</description><dates><release>2009-01-01T00:00:00Z</release><publication>2009 May</publication><modification>2025-05-29T21:51:57.908Z</modification><creation>2025-05-29T21:51:57.908Z</creation></dates><accession>S-EPMC2685141</accession><cross_references><pubmed>19426505</pubmed><doi>10.1186/1755-8794-2-22</doi></cross_references></HashMap>