Predicting expression patterns from regulatory sequence in Drosophila segmentation
By Eran Segal, Tali Raveh-Sadka, Mark D. Schroeder, Ulrich Unnerstall, Ulrike Gaul. Nature, 2008
504 citations recorded by the source corpus.
Subfields: Molecular Biology, Plant Science
View Paper: https://www.semanticscholar.org/paper/d148029bb30fe80f345733c37fcfd35725bf5b69
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Molecular Biology
- Bernhard O. Palsson
- Adam M. Feist
- Ines Thiele
- Jennie L. Reed
- Markus J. Herrgård
- Aviv Regev
- J. Sáez-Rodríguez
- Gustavo A. Stolovitzky
In Plant Science
Citations in the corpus
- DNA-binding specificities of human transcription factors. (2013, unknown): “To understand TF binding, it is necessary to develop a model that is based on biochemical principles of affinity andmass action (e.g., Hallikas et al., 2006; Segal et al., 2008).”
- Metabolic labeling of RNA uncovers principles of RNA production and degradation dynamics in mammalian cells (2011, background): “Most works focus on transcriptional mechanisms 8-12 , tacitly assuming that degradation rates (per gene) are constant over time 13 (‘constant degradation hypothesis’).”
- Impacts of the ubiquitous factor Zelda on Bicoid-dependent DNA binding and transcription in Drosophila (2014, background): “Previous studies suggested that there is no global correlation between boundary positioning and Bcd-binding strength (Ochoa-Espinosa et al. 2005; Segal et al. 2008).”
- Morphogen gradients: from generation to interpretation. (2011, background): “For example, some genes controlled by high-affinity Bicoid binding sites have more restricted expression domains than do genes controlled by lower-affinity sites (Burz et al. 1998, Ochoa-Espinosa et al. 2005, Segal et al. 2008).”
- Reconstruction of Biochemical Networks in Microbial Organisms (2008, background): “Most large-scale regulatory network models built so far have used Boolean network approaches and a range of probabilistic modelling frameworks, including simplified additive kinetic modelling approaches using, for example, log-linear kinetic”
- Systematic image-driven analysis of the spatial Drosophila embryonic expression landscape (2010, background): “Misexpression profoundly changes embryonic morphology, and genes known to control early development have been used for modeling transcriptional regulation in early embryogenesis (Reinitz et al , 1995; Segal et al , 2008).”
- Evaluation of methods for modeling transcription-factor sequence specificity (2013, background): “Indeed, previous studies have demonstrated the importance of low affinity binding sites in vivo 35-38 .”