Yeast One-Hybrid Screens for Detection of Transcription Factor DNA Interactions

Author(s):  
Pieter B. F. Ouwerkerk ◽  
Annemarie H. Meijer
2012 ◽  
Vol 27 (4) ◽  
pp. 913-925 ◽  
Author(s):  
Karen F Underwood ◽  
David R D'Souza ◽  
Maria Mochin-Peters ◽  
Adam D Pierce ◽  
Sravya Kommineni ◽  
...  

2017 ◽  
Author(s):  
Luca Tosti ◽  
James Ashmore ◽  
Boon Siang Nicholas Tan ◽  
Benedetta Carbone ◽  
Tapan K Mistri ◽  
...  

AbstractThe identification of transcription factor (TF) binding sites in the genome is critical to understanding gene regulatory networks (GRNs). While ChIP-seq is commonly used to identify TF targets, it requires specific ChIP-grade antibodies and high cell numbers, often limiting its applicability. DNA adenine methyltransferase identification (DamID), developed and widely used in Drosophila, is a distinct technology to investigate protein-DNA interactions. Unlike ChIP-seq, it does not require antibodies, precipitation steps or chemical protein-DNA crosslinking, but to date it has been seldom used in mammalian cells due to technical impediments. Here we describe an optimised DamID method coupled with next generation sequencing (DamID-seq) in mouse cells, and demonstrate the identification of the binding sites of two TFs, OCT4 and SOX2, in as few as 1,000 embryonic stem cells (ESCs) and neural stem cells (NSCs), respectively. Furthermore, we have applied this technique in vivo for the first time in mammals. Oct4 DamID-seq in the gastrulating mouse embryo at 7.5 days post coitum (dpc) successfully identified multiple Oct4 binding sites proximal to genes involved in embryo development, neural tube formation, mesoderm-cardiac tissue development, consistent with the pivotal role of this TF in post-implantation embryo. This technology paves the way to unprecedented investigations of TF-DNA interactions and GRNs in specific cell types with limited availability in mammals including in vivo samples.


2019 ◽  
Vol 74 (3) ◽  
pp. 622-633.e4 ◽  
Author(s):  
S. Ali Shariati ◽  
Antonia Dominguez ◽  
Shicong Xie ◽  
Marius Wernig ◽  
Lei S. Qi ◽  
...  

2016 ◽  
Vol 12 (12) ◽  
pp. 3600-3610 ◽  
Author(s):  
Matthias G. Beuerle ◽  
Neil P. Dufton ◽  
Anna M. Randi ◽  
Ian R. Gould

Molecular dynamics study elucidating the mechanistic background of the DNA-binding process and the sequence specificity of the transcription factor ERG. Along with the biological findings the capabilities of unbiased DNA-binding simulations in combination with various means of analysis in the field of protein DNA-interactions are shown.


2005 ◽  
Vol 9 (3) ◽  
pp. 471-489 ◽  
Author(s):  
Marek Gniazdowski ◽  
William A Denny ◽  
Stephanie M Nelson ◽  
Malgorzata Czyz

Sign in / Sign up

Export Citation Format

Share Document