U
Ulrich Unnerstall
Researcher at Ludwig Maximilian University of Munich
Publications - 13
Citations - 3664
Ulrich Unnerstall is an academic researcher from Ludwig Maximilian University of Munich. The author has contributed to research in topics: Enhancer & Binding site. The author has an hindex of 7, co-authored 13 publications receiving 3429 citations. Previous affiliations of Ulrich Unnerstall include Rockefeller University & Center for Integrated Protein Science Munich.
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Journal ArticleDOI
The role of site accessibility in microRNA target recognition
TL;DR: This study systematically investigates the role of target-site accessibility, as determined by base-pairing interactions within the mRNA, in microRNA target recognition, and devise a parameter-free model that explains the variability in experiments, predicts validated targets more accurately than existing algorithms, and shows that genomes accommodate site accessibility by preferentially positioning targets in highly accessible regions.
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Predicting expression patterns from regulatory sequence in Drosophila segmentation
TL;DR: A novel thermodynamic model is described that computes expression patterns as a function of cis-regulatory sequence and of the binding-site preferences and expression of participating transcription factors and is applied to the segmentation gene network of Drosophila melanogaster.
Journal ArticleDOI
Antisense-Mediated Depletion Reveals Essential and Specific Functions of MicroRNAs in Drosophila Development
Daniel P. Leaman,Po Yu Chen,John J. Fak,Abdullah Yalcin,Michael C. Pearce,Ulrich Unnerstall,Debora S. Marks,Chris Sander,Thomas Tuschl,Ulrike Gaul +9 more
TL;DR: It is demonstrated that injection of 2'O-methyl antisense oligoribonucleotides into early Drosophila embryos leads to specific and efficient depletion of microRNAs and thus permits systematic loss-of-function analysis in vivo.
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Transcriptional control in the segmentation gene network of Drosophila.
Mark D Schroeder,Michael C. Pearce,John J. Fak,HongQing Fan,Ulrich Unnerstall,Eldon Emberly,Nikolaus Rajewsky,Eric D. Siggia,Ulrike Gaul +8 more
TL;DR: It is shown that maternal factors consistently act as activators and that gap factors act as repressors, except for the bimodal factor Hunchback, which suggests a simple context-dependent rule for its switch from repressive to activating function.
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Cross-species comparison significantly improves genome-wide prediction of cis-regulatory modules in Drosophila
TL;DR: It is demonstrated that the use of a second genome (D. pseudoobscura) for cross-species comparison significantly improves the prediction accuracy of Stubb, and is a more sensitive approach than intersecting the results of separate runs over the two genomes.