Survey
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
Integrated genome-scale analysis of the transcriptional regulatory landscape in a blood stem/progenitor cell model by Nicola K. Wilson, Stefan Schoenfelder, Rebecca Hannah, Manuel Sánchez Castillo, Judith Schütte, Vasileios Ladopoulos, Joanna Mitchelmore, Debbie K. Goode, Fernando J. Calero-Nieto, Victoria Moignard, Adam C. Wilkinson, Isabel Jimenez-Madrid, Sarah Kinston, Mikhail Spivakov, Peter Fraser, and Berthold Göttgens Blood Volume 127(13):e12-e23 March 31, 2016 ©2016 by American Society of Hematology Genome-wide Promoter Capture Hi-C data reiterate previously known promoter-distal element interactions. Nicola K. Wilson et al. Blood 2016;127:e12-e23 ©2016 by American Society of Hematology A combination of colocalization of TF binding and genome-wide interaction data identifies previously unknown hematopoietic enhancer elements. Nicola K. Wilson et al. Blood 2016;127:e12-e23 ©2016 by American Society of Hematology Additional genome-wide TF-binding profiles and DNase I hypersensitive site mapping enrich the combination binding information of the HSPC cell model, HPC-7. Nicola K. Wilson et al. Blood 2016;127:e12-e23 ©2016 by American Society of Hematology TF correlation analysis highlights combinatorial binding patterns in an HSPC cell model. Nicola K. Wilson et al. Blood 2016;127:e12-e23 ©2016 by American Society of Hematology Combinatorial TF binding is associated with promoter-distal interacting genomic regions. Nicola K. Wilson et al. Blood 2016;127:e12-e23 ©2016 by American Society of Hematology Previously unknown TF combinations are at play in promoter-distal looping interactions. Nicola K. Wilson et al. Blood 2016;127:e12-e23 ©2016 by American Society of Hematology