Transcription factors

Results: 1770



#Item
1PROTOCOL Universal protein-binding microarrays for the comprehensive characterization of the DNA-binding specificities of transcription factors Michael F Berger1,2 & Martha L Bulyk1–4

PROTOCOL Universal protein-binding microarrays for the comprehensive characterization of the DNA-binding specificities of transcription factors Michael F Berger1,2 & Martha L Bulyk1–4

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Source URL: the_brain.bwh.harvard.edu

Language: English - Date: 2009-03-06 11:16:00
    2Cell Reports Article Genomic Regions Flanking E-Box Binding Sites Influence DNA Binding Specificity of bHLH Transcription Factors through DNA Shape

    Cell Reports Article Genomic Regions Flanking E-Box Binding Sites Influence DNA Binding Specificity of bHLH Transcription Factors through DNA Shape

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    Source URL: the_brain.bwh.harvard.edu

    Language: English - Date: 2013-04-26 11:29:35
      3Integrated network analysis reveals distinct regulatory roles of transcription factors and microRNAs

      Integrated network analysis reveals distinct regulatory roles of transcription factors and microRNAs

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      Source URL: yulab.icmb.cornell.edu

      Language: English - Date: 2016-09-16 11:23:24
        4A Pathway Switch Directs BAFF Signaling to Distinct NFκB Transcription Factors in Maturing and Proliferating B Cells

        A Pathway Switch Directs BAFF Signaling to Distinct NFκB Transcription Factors in Maturing and Proliferating B Cells

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        Source URL: www.signalingsystems.ucla.edu

        Language: English - Date: 2015-07-21 12:10:27
          5DNA-binding specificity changes in the evolution of forkhead transcription factors So Nakagawaa,b,1,2, Stephen S. Gisselbrechtc,1, Julia M. Rogersc,d,1, Daniel L. Hartla,3, and Martha L. Bulykc,d,e,3 a Department of Org

          DNA-binding specificity changes in the evolution of forkhead transcription factors So Nakagawaa,b,1,2, Stephen S. Gisselbrechtc,1, Julia M. Rogersc,d,1, Daniel L. Hartla,3, and Martha L. Bulykc,d,e,3 a Department of Org

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          Source URL: the_brain.bwh.harvard.edu

          Language: English - Date: 2013-07-26 11:04:29
            6Noncooperative Interactions between Transcription Factors and Clustered DNA Binding Sites Enable Graded Transcriptional Responses to Environmental Inputs

            Noncooperative Interactions between Transcription Factors and Clustered DNA Binding Sites Enable Graded Transcriptional Responses to Environmental Inputs

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            Source URL: the_brain.bwh.harvard.edu

            Language: English - Date: 2010-05-08 10:26:33
              7INTRINSIC DISORDER WITHIN AND FLANKING THE DNA-BINDING DOMAINS OF HUMAN TRANSCRIPTION FACTORS XIN GUO1 , MARTHA L. BULYK2† , and ALEXANDER J. HARTEMINK1† 1

              INTRINSIC DISORDER WITHIN AND FLANKING THE DNA-BINDING DOMAINS OF HUMAN TRANSCRIPTION FACTORS XIN GUO1 , MARTHA L. BULYK2† , and ALEXANDER J. HARTEMINK1† 1

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              Source URL: the_brain.bwh.harvard.edu

              Language: English - Date: 2011-12-21 23:44:22
                8A Multiparameter Network Reveals Extensive Divergence between C. elegans bHLH Transcription Factors

                A Multiparameter Network Reveals Extensive Divergence between C. elegans bHLH Transcription Factors

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                Source URL: the_brain.bwh.harvard.edu

                Language: English - Date: 2009-07-23 17:09:47
                  9Identifying interactions between Hpa effectors and Arabidopsis transcription factors Upon infection of plant cells, pathogenic microorganisms deliver a cocktail of effector proteins into the host cytoplasm that function

                  Identifying interactions between Hpa effectors and Arabidopsis transcription factors Upon infection of plant cells, pathogenic microorganisms deliver a cocktail of effector proteins into the host cytoplasm that function

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                  Source URL: www.bspp.org.uk

                  Language: English - Date: 2018-06-04 14:13:01
                    10Genome Informatics 11: 295–A Method for Predicting Transcription Factors Using Local Regions of Biased Amino Acid Composition

                    Genome Informatics 11: 295–A Method for Predicting Transcription Factors Using Local Regions of Biased Amino Acid Composition

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                    Source URL: www.jsbi.org

                    - Date: 2001-02-21 04:26:16