Abstract:
:HOX11 is a homeobox-containing oncogene of specific T-cell leukemias. We determined the DNA binding specificity of the Hox11 protein by using a novel technique of random oligonucleotide selection developed in this study. The optimal Hox11 binding sequence, GGCGGTAAGTGG, contained a core TAAGTG motif that is consistent with a prediction based on the residues at specific positions that potentially make DNA base contacts and models of homeodomain-DNA interaction proposed from studies with other homeodomains. The specific interaction between Hox11 and the selected optimal binding sequence was further confirmed by band-shift and DNA competition assays. Given that the Hox11 homeodomain shares low homology with other well studied homeodomains, the presence of a predictable recognition core motif in its optimal binding sequence supports the notion that different homeodomains interact with DNA in a similar manner, through highly conserved residues at specific positions that allow contact with DNA.
journal_name
Nucleic Acids Resjournal_title
Nucleic acids researchauthors
Tang S,Breitman MLdoi
10.1093/nar/23.11.1928subject
Has Abstractpub_date
1995-06-11 00:00:00pages
1928-35issue
11eissn
0305-1048issn
1362-4962pii
5e0107journal_volume
23pub_type
杂志文章abstract::PASMet (Prediction, Analysis and Simulation of Metabolic networks) is a web-based platform for proposing and verifying mathematical models to understand the dynamics of metabolism. The advantages of PASMet include user-friendliness and accessibility, which enable biologists and biochemists to easily perform mathematic...
journal_title:Nucleic acids research
pub_type: 杂志文章
doi:10.1093/nar/gkw415
更新日期:2016-07-08 00:00:00
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journal_title:Nucleic acids research
pub_type: 杂志文章
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abstract::Nucleobase analogs 5-methylisocytosine ((Me)isoC) and isoguanine (isoG) form a non-natural base pair in duplex nucleic acids with base pairing specificity orthogonal to the natural nucleobase pairs. Sequencing reactions were conducted with oligodeoxyribonucleotides (ODNs) containing d(Me)isoC and disoG using modified ...
journal_title:Nucleic acids research
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pub_type: 杂志文章
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journal_title:Nucleic acids research
pub_type: 杂志文章
doi:10.1093/nar/26.22.5061
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journal_title:Nucleic acids research
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journal_title:Nucleic acids research
pub_type: 杂志文章
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journal_title:Nucleic acids research
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journal_title:Nucleic acids research
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更新日期:2005-11-10 00:00:00
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journal_title:Nucleic acids research
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journal_title:Nucleic acids research
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更新日期:2018-11-02 00:00:00
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journal_title:Nucleic acids research
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更新日期:2014-01-01 00:00:00
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journal_title:Nucleic acids research
pub_type: 杂志文章
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更新日期:2003-02-01 00:00:00
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journal_title:Nucleic acids research
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更新日期:2008-12-01 00:00:00
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journal_title:Nucleic acids research
pub_type: 杂志文章
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更新日期:2013-08-01 00:00:00
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journal_title:Nucleic acids research
pub_type: 杂志文章
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更新日期:2017-06-20 00:00:00
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journal_title:Nucleic acids research
pub_type: 杂志文章
doi:10.1093/nar/24.22.4495
更新日期:1996-11-15 00:00:00
abstract::The gene co-expression analysis toolbox (GeneCAT) introduces several novel microarray data analyzing tools. First, the multigene co-expression analysis, combined with co-expressed gene networks, provides a more powerful data mining technique than standard, single-gene co-expression analysis. Second, the high-throughpu...
journal_title:Nucleic acids research
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journal_title:Nucleic acids research
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journal_title:Nucleic acids research
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journal_title:Nucleic acids research
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journal_title:Nucleic acids research
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更新日期:1982-12-11 00:00:00
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更新日期:2007-01-01 00:00:00
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journal_title:Nucleic acids research
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journal_title:Nucleic acids research
pub_type: 杂志文章
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journal_title:Nucleic acids research
pub_type: 杂志文章
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更新日期:2004-05-11 00:00:00
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journal_title:Nucleic acids research
pub_type: 杂志文章
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更新日期:1981-03-25 00:00:00