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Dive into the research topics where Ulrike S. Eggert is active.

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Featured researches published by Ulrike S. Eggert.


PLOS Biology | 2004

Parallel Chemical Genetic and Genome-Wide RNAi Screens Identify Cytokinesis Inhibitors and Targets

Ulrike S. Eggert; Amy A. Kiger; Constance Richter; Zachary E. Perlman; Norbert Perrimon; Timothy J. Mitchison; Christine M. Field

Cytokinesis involves temporally and spatially coordinated action of the cell cycle and cytoskeletal and membrane systems to achieve separation of daughter cells. To dissect cytokinesis mechanisms it would be useful to have a complete catalog of the proteins involved, and small molecule tools for specifically inhibiting them with tight temporal control. Finding active small molecules by cell-based screening entails the difficult step of identifying their targets. We performed parallel chemical genetic and genome-wide RNA interference screens in Drosophila cells, identifying 50 small molecule inhibitors of cytokinesis and 214 genes important for cytokinesis, including a new protein in the Aurora B pathway (Borr). By comparing small molecule and RNAi phenotypes, we identified a small molecule that inhibits the Aurora B kinase pathway. Our protein list provides a starting point for systematic dissection of cytokinesis, a direction that will be greatly facilitated by also having diverse small molecule inhibitors, which we have identified. Dissection of the Aurora B pathway, where we found a new gene and a specific small molecule inhibitor, should benefit particularly. Our study shows that parallel RNA interference and small molecule screening is a generally useful approach to identifying active small molecules and their target pathways.


Proceedings of the National Academy of Sciences of the United States of America | 2009

Scoring diverse cellular morphologies in image-based screens with iterative feedback and machine learning.

Thouis R. Jones; Anne E. Carpenter; Michael R. Lamprecht; Jason Moffat; Serena J. Silver; Jennifer K. Grenier; Adam B. Castoreno; Ulrike S. Eggert; David E. Root; Polina Golland; David M. Sabatini

Many biological pathways were first uncovered by identifying mutants with visible phenotypes and by scoring every sample in a screen via tedious and subjective visual inspection. Now, automated image analysis can effectively score many phenotypes. In practical application, customizing an image-analysis algorithm or finding a sufficient number of example cells to train a machine learning algorithm can be infeasible, particularly when positive control samples are not available and the phenotype of interest is rare. Here we present a supervised machine learning approach that uses iterative feedback to readily score multiple subtle and complex morphological phenotypes in high-throughput, image-based screens. First, automated cytological profiling extracts hundreds of numerical descriptors for every cell in every image. Next, the researcher generates a rule (i.e., classifier) to recognize cells with a phenotype of interest during a short, interactive training session using iterative feedback. Finally, all of the cells in the experiment are automatically classified and each sample is scored based on the presence of cells displaying the phenotype. By using this approach, we successfully scored images in RNA interference screens in 2 organisms for the prevalence of 15 diverse cellular morphologies, some of which were previously intractable.


Cell | 2014

Dividing cells regulate their lipid composition and localization.

G. Ekin Atilla-Gokcumen; Eleonora Muro; Josep Relat-Goberna; Sofia Sasse; Anne V. Bedigian; Margaret Coughlin; Sergi Garcia-Manyes; Ulrike S. Eggert

Summary Although massive membrane rearrangements occur during cell division, little is known about specific roles that lipids might play in this process. We report that the lipidome changes with the cell cycle. LC-MS-based lipid profiling shows that 11 lipids with specific chemical structures accumulate in dividing cells. Using AFM, we demonstrate differences in the mechanical properties of live dividing cells and their isolated lipids relative to nondividing cells. In parallel, systematic RNAi knockdown of lipid biosynthetic enzymes identified enzymes required for division, which highly correlated with lipids accumulated in dividing cells. We show that cells specifically regulate the localization of lipids to midbodies, membrane-based structures where cleavage occurs. We conclude that cells actively regulate and modulate their lipid composition and localization during division, with both signaling and structural roles likely. This work has broader implications for the active and sustained participation of lipids in basic biology.


Nature Chemical Biology | 2013

The why and how of phenotypic small-molecule screens

Ulrike S. Eggert

Small-molecule phenotypic screening has high potential in the discovery of new chemical probes and new biological small-molecule targets. This commentary will discuss the basic principles underlying the design of phenotypic screens and propose some guidelines to facilitate the discovery of small molecules from phenotypic screens.


PLOS Biology | 2012

The Chromosomal Passenger Complex Activates Polo Kinase at Centromeres

Mar Carmena; Xavier Pinson; Melpi Platani; Zeina Salloum; Zhenjie Xu; Anthony Clark; Fiona MacIsaac; Hiromi Ogawa; Ulrike S. Eggert; David M. Glover; Vincent Archambault; William C. Earnshaw

INCENP acts as a protein scaffold that integrates the functions of two crucial mitotic kinases, Aurora B and Polo, at centromeres of mitotic chromosomes.


Current Biology | 2010

14-3-3 Coordinates Microtubules, Rac, and Myosin II to Control Cell Mechanics and Cytokinesis

Qiongqiong Zhou; Yee Seir Kee; Christopher C. Poirier; Christine A. Jelinek; Jonathan Osborne; Srikanth Divi; Alexandra Surcel; Marie E. Will; Ulrike S. Eggert; Annette Müller-Taubenberger; Pablo A. Iglesias; Robert J. Cotter; Douglas N. Robinson

BACKGROUND During cytokinesis, regulatory signals are presumed to emanate from the mitotic spindle. However, what these signals are and how they lead to the spatiotemporal changes in the cortex structure, mechanics, and regional contractility are not well understood in any system. RESULTS To investigate pathways that link the microtubule network to the cortical changes that promote cytokinesis, we used chemical genetics in Dictyostelium to identify genetic suppressors of nocodazole, a microtubule depolymerizer. We identified 14-3-3 and found that it is enriched in the cortex, helps maintain steady-state microtubule length, contributes to normal cortical tension, modulates actin wave formation, and controls the symmetry and kinetics of cleavage furrow contractility during cytokinesis. Furthermore, 14-3-3 acts downstream of a Rac small GTPase (RacE), associates with myosin II heavy chain, and is needed to promote myosin II bipolar thick filament remodeling. CONCLUSIONS 14-3-3 connects microtubules, Rac, and myosin II to control several aspects of cortical dynamics, mechanics, and cytokinesis cell shape change. Furthermore, 14-3-3 interacts directly with myosin II heavy chain to promote bipolar thick filament remodeling and distribution. Overall, 14-3-3 appears to integrate several critical cytoskeletal elements that drive two important processes-cytokinesis cell shape change and cell mechanics.


Nature Chemical Biology | 2010

Small molecules discovered in a pathway screen target the Rho pathway in cytokinesis

Adam B. Castoreno; Yegor Smurnyy; Angelica D Torres; Martha S. Vokes; Thouis R. Jones; Anne E. Carpenter; Ulrike S. Eggert

We report the discovery of small molecules that target the Rho pathway, a central regulator of cytokinesis, the final step in cell division. We have developed a method to target a small molecule screen towards a specific pathway, which should be widely applicable to study any signaling pathway. In a chemical genetic variant of a classical modifier screen, we used RNA interference (RNAi) to sensitize cells and identified small molecules that suppressed or enhanced the RNAi phenotype. We have discovered promising candidate molecules, which we named Rhodblock 1–8, and we identified the target of Rhodblock 6 as Rho kinase. Several Rhodblocks inhibit a function of the Rho pathway in cells: the correct localization of phosphorylated myosin light chain during cytokinesis. Rhodblocks differentially perturb Rho pathway proteins in cells and can be used to dissect the mechanism of the Rho pathway during cytokinesis.


Molecular Biology of the Cell | 2014

Lipids in cell biology: how can we understand them better?

Eleonora Muro; G. Ekin Atilla-Gokcumen; Ulrike S. Eggert

Lipids are a major class of biological molecules and play many key roles in different processes. The diversity of lipids is on the same order of magnitude as that of proteins: cells express tens of thousands of different lipids and hundreds of proteins to regulate their metabolism and transport. Despite their clear importance and essential functions, lipids have not been as well studied as proteins. We discuss here some of the reasons why it has been challenging to study lipids and outline technological developments that are allowing us to begin lifting lipids out of their “Cinderella” status. We focus on recent advances in lipid identification, visualization, and investigation of their biophysics and perturbations and suggest that the field has sufficiently advanced to encourage broader investigation into these intriguing molecules.


Cytoskeleton | 2012

G-protein-coupled receptors participate in cytokinesis

Xin Zhang; Anne V. Bedigian; Wenchao Wang; Ulrike S. Eggert

Cytokinesis, the last step during cell division, is a highly coordinated process that involves the relay of signals from both the outside and inside of the cell. We have a basic understanding of how cells regulate internal events, but how cells respond to extracellular cues is less explored. In a systematic RNAi screen of G protein‐coupled receptors (GPCRs) and their effectors, we found that some GPCRs are involved in cytokinesis. RNAi knockdown of these GPCRs caused increased binucleated cell formation, and live cell imaging showed that most formed midbodies but failed at the abscission stage. OR2A4 (olfactory receptor, family 2, subfamily A, member 4) localized to cytokinetic structures in cells and its knockdown caused cytokinesis failure at an earlier stage, likely due to effects on the actin cytoskeleton. Identifying the downstream components that transmit GPCR signals during cytokinesis will be the next step and we show that GIPC1 (GIPC PDZ domain containing family, member 1), an adaptor protein for GPCRs, may play a part. RNAi knockdown of GIPC1 significantly increased binucleated cell formation. Understanding the molecular details of GPCRs and their interaction proteins in cytokinesis regulation will give us important clues about GPCRs signaling as well as how cells communicate with their environment during division.


ACS Chemical Biology | 2011

Small Molecule Probes of Cellular Pathways and Networks

Adam B. Castoreno; Ulrike S. Eggert

Small molecules are important not only as therapeutics to treat disease but also as chemical tools to probe complex biological processes. The discovery of novel bioactive small molecules has largely been catalyzed by screening diverse chemical libraries for alterations in specific activities in pure proteins assays or in generating cell-based phenotypes. New approaches are needed to close the vast gap between the ability to study either single proteins or whole cellular processes. This Review focuses on the growing number of studies aimed at understanding in more detail how small molecules perturb particular signaling pathways and larger networks to yield distinct cellular phenotypes. This type of pathway-level analysis and phenotypic profiling provides valuable insight into mechanistic action of small molecules and can reveal off-target effects and improve our understanding of how proteins within a pathway regulate signaling.

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Christine M. Field

Marine Biological Laboratory

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G. Ekin Atilla-Gokcumen

State University of New York System

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Xin Zhang

Chinese Academy of Sciences

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Markus Kalesse

Braunschweig University of Technology

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