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Yeast one-hybrid assays for gene-centered human gene regulatory network mapping
Gateway-compatible yeast one-hybrid (Y1H) assays provide a convenient gene-centered (DNA-to-protein) approach to identify the repertoire of transcription factors that can bind a DNA sequence of interest. We present a set of Y1H resources, including clones for 988 of 1,434 (69%) predicted human trans...
| Autores principales: | , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2011
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3263363/ https://www.ncbi.nlm.nih.gov/pubmed/22037702 http://dx.doi.org/10.1038/nmeth.1764 |
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| author | Reece-Hoyes, John S Barutcu, A Rasim McCord, Rachel Patton Jeong, Jun Seop Jiang, Lizhi MacWilliams, Andrew Yang, Xinping Salehi-Ashtiani, Kourosh Hill, David E Blackshaw, Seth Zhu, Heng Dekker, Job Walhout, Albertha J M |
| author_facet | Reece-Hoyes, John S Barutcu, A Rasim McCord, Rachel Patton Jeong, Jun Seop Jiang, Lizhi MacWilliams, Andrew Yang, Xinping Salehi-Ashtiani, Kourosh Hill, David E Blackshaw, Seth Zhu, Heng Dekker, Job Walhout, Albertha J M |
| author_sort | Reece-Hoyes, John S |
| collection | PubMed |
| description | Gateway-compatible yeast one-hybrid (Y1H) assays provide a convenient gene-centered (DNA-to-protein) approach to identify the repertoire of transcription factors that can bind a DNA sequence of interest. We present a set of Y1H resources, including clones for 988 of 1,434 (69%) predicted human transcription factors, for the interrogation of interactions using either low or high-throughput settings. These approaches detect both known and novel interactions between human DNA regions and transcription factors. |
| format | Online Article Text |
| id | pubmed-3263363 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2011 |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-32633632012-06-01 Yeast one-hybrid assays for gene-centered human gene regulatory network mapping Reece-Hoyes, John S Barutcu, A Rasim McCord, Rachel Patton Jeong, Jun Seop Jiang, Lizhi MacWilliams, Andrew Yang, Xinping Salehi-Ashtiani, Kourosh Hill, David E Blackshaw, Seth Zhu, Heng Dekker, Job Walhout, Albertha J M Nat Methods Article Gateway-compatible yeast one-hybrid (Y1H) assays provide a convenient gene-centered (DNA-to-protein) approach to identify the repertoire of transcription factors that can bind a DNA sequence of interest. We present a set of Y1H resources, including clones for 988 of 1,434 (69%) predicted human transcription factors, for the interrogation of interactions using either low or high-throughput settings. These approaches detect both known and novel interactions between human DNA regions and transcription factors. 2011-10-30 /pmc/articles/PMC3263363/ /pubmed/22037702 http://dx.doi.org/10.1038/nmeth.1764 Text en Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms |
| spellingShingle | Article Reece-Hoyes, John S Barutcu, A Rasim McCord, Rachel Patton Jeong, Jun Seop Jiang, Lizhi MacWilliams, Andrew Yang, Xinping Salehi-Ashtiani, Kourosh Hill, David E Blackshaw, Seth Zhu, Heng Dekker, Job Walhout, Albertha J M Yeast one-hybrid assays for gene-centered human gene regulatory network mapping |
| title | Yeast one-hybrid assays for gene-centered human gene regulatory network mapping |
| title_full | Yeast one-hybrid assays for gene-centered human gene regulatory network mapping |
| title_fullStr | Yeast one-hybrid assays for gene-centered human gene regulatory network mapping |
| title_full_unstemmed | Yeast one-hybrid assays for gene-centered human gene regulatory network mapping |
| title_short | Yeast one-hybrid assays for gene-centered human gene regulatory network mapping |
| title_sort | yeast one-hybrid assays for gene-centered human gene regulatory network mapping |
| topic | Article |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3263363/ https://www.ncbi.nlm.nih.gov/pubmed/22037702 http://dx.doi.org/10.1038/nmeth.1764 |
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