Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Denis Tsygankov is active.

Publication


Featured researches published by Denis Tsygankov.


Journal of Cell Biology | 2014

CellGeo: a computational platform for the analysis of shape changes in cells with complex geometries.

Denis Tsygankov; Colleen G. Bilancia; Eric Vitriol; Klaus M. Hahn; Mark Peifer; Timothy C. Elston

The open source MATLAB application CellGeo is a user-friendly computational platform that allows simultaneous, automated tracking and analysis of dynamic changes in cell shape, including protrusions ranging from filopodia to lamellipodia to growth cones.


Developmental Cell | 2014

Enabled negatively regulates diaphanous-driven actin dynamics in vitro and in vivo.

Colleen G. Bilancia; Jonathan D. Winkelman; Denis Tsygankov; Stephanie H. Nowotarski; Jennifer A. Sees; Kate Comber; Iwan Evans; Vinal V. Lakhani; Will J Wood; Timothy C. Elston; David R. Kovar; Mark Peifer

Summary Actin regulators facilitate cell migration by controlling cell protrusion architecture and dynamics. As the behavior of individual actin regulators becomes clear, we must address why cells require multiple regulators with similar functions and how they cooperate to create diverse protrusions. We characterized Diaphanous (Dia) and Enabled (Ena) as a model, using complementary approaches: cell culture, biophysical analysis, and Drosophila morphogenesis. We found that Dia and Ena have distinct biochemical properties that contribute to the different protrusion morphologies each induces. Dia is a more processive, faster elongator, paralleling the long, stable filopodia it induces in vivo, while Ena promotes filopodia with more dynamic changes in number, length, and lifetime. Acting together, Ena and Dia induce protrusions distinct from those induced by either alone, with Ena reducing Dia-driven protrusion length and number. Consistent with this, EnaEVH1 binds Dia directly and inhibits DiaFH1FH2-mediated nucleation in vitro. Finally, Ena rescues hemocyte migration defects caused by activated Dia.


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

A quantitative model for age-dependent expression of the p16INK4a tumor suppressor

Denis Tsygankov; Yan Liu; Hanna K. Sanoff; Norman E. Sharpless; Timothy C. Elston

Recent work has shown that expression of the p16INK4a tumor suppressor increases with chronological age. Expression is accelerated by gerontogenic behaviors such as tobacco use and physical inactivity, and is also influenced by allelic genotype of a polymorphic single nucleotide polymorphism (SNP) rs10757278 that is physically linked with the p16INK4a ORF. To understand the relationship between p16INK4a expression, chronologic age, subject characteristics and host genetics, we sought to develop a mathematical model that links p16INK4a expression with aging. Using an annotated dataset of 170 healthy adults for whom p16INK4a expression and subject genotypes were known, we developed two alternative stochastic models that relate p16INK4a expression to age, smoking, exercise and rs10757278 genotype. Levels of p16INK4a increased exponentially and then saturated at later chronologic ages. The model, which best fit the data, suggests saturation occurs because of p16INK4a-dependent attrition of subjects at older chronologic ages, presumably due to death or chronic illness. An important feature of our model is that factors that contribute to death in a non p16INK4a-dependent manner do not affect our analysis. Interestingly, tobacco-related increases in p16INK4a expression are predicted to arise from a decrease in the rate of p16INK4a-dependent death. This analysis is most consistent with the model that p16INK4a expression monotonically increases with age, and higher expression is associated with increased subject attrition.


Nature Chemical Biology | 2014

Dissecting motility signaling through activation of specific Src-effector complexes

Andrei V. Karginov; Denis Tsygankov; Matthew E. Berginski; Pei Hsuan Chu; Evan D. Trudeau; Jason Yi; Shawn M. Gomez; Timothy C. Elston; Klaus M. Hahn

We describe an approach to selectively activate a kinase in a specific protein complex or at a specific subcellular location within living cells, and within minutes. This reveals the effects of specific kinase pathways without time for genetic compensation. The new technique, dubbed RapRTAP (rapamycin regulated targeted activation of pathways) was used to dissect the role of Src kinase interactions with FAK and p130Cas in cell motility and morphodynamics. The overall effects of Src activation on cell morphology and adhesion dynamics were first quantified, without restricting effector access. Subsets of Src induced behaviors were then attributed to specific interactions between Src and the two downstream proteins. Activation of Src in the cytoplasm versus at the cell membrane also produced distinct phenotypes. The conserved nature of the kinase site modified for RapRTAP indicates that the technique can be applied to many kinases.


eLife | 2015

Role of competition between polarity sites in establishing a unique front

Chi-Fang Wu; Jian-Geng Chiou; Maria Minakova; Benjamin Woods; Denis Tsygankov; Trevin R. Zyla; Natasha S. Savage; Timothy C. Elston; Daniel J. Lew

Polarity establishment in many cells is thought to occur via positive feedback that reinforces even tiny asymmetries in polarity protein distribution. Cdc42 and related GTPases are activated and accumulate in a patch of the cortex that defines the front of the cell. Positive feedback enables spontaneous polarization triggered by stochastic fluctuations, but as such fluctuations can occur at multiple locations, how do cells ensure that they make only one front? In polarizing cells of the model yeast Saccharomyces cerevisiae, positive feedback can trigger growth of several Cdc42 clusters at the same time, but this multi-cluster stage rapidly evolves to a single-cluster state, which then promotes bud emergence. By manipulating polarity protein dynamics, we show that resolution of multi-cluster intermediates occurs through a greedy competition between clusters to recruit and retain polarity proteins from a shared intracellular pool. DOI: http://dx.doi.org/10.7554/eLife.11611.001


Proceedings of the National Academy of Sciences of the United States of America | 2007

Mechanoenzymes under superstall and large assisting loads reveal structural features

Denis Tsygankov; Michael E. Fisher

Single-molecule experiments on the motor protein kinesin have observed runs of backsteps and thus a negative, that is, reverse mean velocity, V, under superstall loads, F; but, counterintuitively, beyond stall, V(F) displays a shallow minimum and then decreases in magnitude. Conversely, under assisting loads V(F) rises to a maximum before decreasing monotonically. By contrast, while the velocity of myosin V also saturates under assisting loads, the motor moves backward increasingly rapidly under superstall loads. For both kinesin and myosin V this behavior is implied remarkably well by simple two-state kinetic models when extrapolated to large loads. To understand the origins of such results in general mechanoenzymes, biochemical kinetic descriptions are discussed on the basis of a free-energy landscape picture. It transpires that the large-load performance is determined by the geometrical placement of the intermediate mechanochemical states of the enzymatic cycles relative to the associated transition states. Explicit criteria are presented for N-state sequential kinetics, including side-reaction chains, etc., and for parallel-pathway models. Physical colocalization of biochemically distinct states generally implies large-load velocity saturation.


Proceedings of the National Academy of Sciences of the United States of America | 2014

Engineered kinase activation reveals unique morphodynamic phenotypes and associated trafficking for Src family isoforms

Pei Hsuan Chu; Denis Tsygankov; Matthew E. Berginski; Onur Dagliyan; Shawn M. Gomez; Timothy C. Elston; Andrei V. Karginov; Klaus M. Hahn

Significance Src family kinases (SFKs), critical in many aspects of homeostasis and disease, occur as multiple isoforms. It has been difficult to dissect the unique function of each isoform because their structures are so similar. Here we specifically activated each SFK isoform through insertion of an engineered domain. The domain caused the kinases to be catalytically inactive until they were reactivated by the small molecule rapamycin. Computational methods for quantifying dynamic changes in cell shape revealed that activation of each isoform produced dramatically different cell behaviors. Quantitative analysis showed that these behaviors correlated with specific patterns of subcellular trafficking, and depended on isoform acylation. The Src kinase family comprises nine homologous members whose distinct expression patterns and cellular distributions indicate that they have unique roles. These roles have not been determined because genetic manipulation has not produced clearly distinct phenotypes, and the kinases’ homology complicates generation of specific inhibitors. Through insertion of a modified FK506 binding protein (insertable FKBP12, iFKBP) into the protein kinase isoforms Fyn, Src, Lyn, and Yes, we engineered kinase analogs that can be activated within minutes in living cells (RapR analogs). Combining our RapR analogs with computational tools for quantifying and characterizing cellular dynamics, we demonstrate that Src family isoforms produce very different phenotypes, encompassing cell spreading, polarized motility, and production of long, thin cell extensions. Activation of Src and Fyn led to patterns of kinase translocation that correlated with morphological changes in temporally distinct stages. Phenotypes were dependent on N-terminal acylation, not on Src homology 3 (SH3) and Src homology 2 (SH2) domains, and correlated with movement between a perinuclear compartment, adhesions, and the plasma membrane.


Journal of Chemical Physics | 2009

Kinetic models for the coordinated stepping of cytoplasmic dynein

Denis Tsygankov; Adrian W. R. Serohijos; Nikolay V. Dokholyan; Timothy C. Elston

To generate processive motion along a polymer track requires that motor proteins couple their ATP hydrolysis cycle with conformational changes in their structural subunits. Numerous experimental and theoretical efforts have been devoted to establishing how this chemomechanical coupling occurs. However, most processive motors function as dimers. Therefore a full understanding of the motors performance also requires knowledge of the coordination between the chemomechanical cycles of the two heads. We consider a general two-headed model for cytoplasmic dynein that is built from experimental measurements on the chemomechanical states of monomeric dynein. We explore different possible scenarios of coordination that simultaneously satisfy two main requirements of the dimeric protein: high processivity (long run length) and high motor velocity (fast ATP turnover). To demonstrate the interplay between these requirements and the necessity for coordination, we first develop and analyze a simple mechanical model for the force-induced stepping in the absence of ATP. Next we use a simplified model of dimeric dyneins chemomechanical cycle to establish the kinetic rules that must be satisfied for the model to be consistent with recent data for the motors performance from single molecule experiments. Finally, we use the results of these investigations to develop a full model for dimeric dyneins chemomechanical cycle and analyze this model to make experimentally testable predictions.


Physical Review E | 2007

Back-stepping, hidden substeps, and conditional dwell times in molecular motors.

Denis Tsygankov; Martin Lindén; Michael E. Fisher

Processive molecular motors take more-or-less uniformly sized steps, along spatially periodic tracks, mostly forwards but increasingly backwards under loads. Experimentally, the major steps can be resolved clearly within the noise but one knows biochemically that one or more mechanochemical substeps remain hidden in each enzymatic cycle. In order to properly interpret experimental data for back-to-forward step ratios, mean conditional step-to-step dwell times, etc., a first-passage analysis has been developed that takes account of hidden substeps in N -state sequential models. The explicit, general results differ significantly from previous treatments that identify the observed steps with complete mechanochemical cycles; e.g., the mean dwell times tau(+) and tau(-) prior to forward and back steps, respectively, are normally unequal although the dwell times tau(++) and tau(--) between successive forward and back steps are equal. Illustrative (N=2) -state examples display a wide range of behavior. The formulation extends to the case of two or more detectable transitions in a multistate cycle with hidden substeps.


Journal of Biological Chemistry | 2015

Divergent Roles of CAAX Motif-signaled Posttranslational Modifications in the Regulation and Subcellular Localization of Ral GTPases

Leanna R. Gentry; Akiyuki Nishimura; Adrienne D. Cox; Timothy D. Martin; Denis Tsygankov; Motohiro Nishida; Timothy C. Elston; Channing J. Der

Background: The highly related small GTPases RalA and RalB exhibit distinct functions in cancer cell processes. Results: Posttranslational modifications signaled by the C-terminal CAAX motif contribute to Ral isoform differences in subcellular localization, activation, and protein stability. Conclusion: Modifications catalyzed by RCE1, ICMT, and protein palmitoyl acyltransferase cause Ral isoform-specific functional consequences. Significance: Inhibitors of CAAX motif modifications will have complex consequences on Ral GTPase regulation. The Ras-like small GTPases RalA and RalB are well validated effectors of RAS oncogene-driven human cancer growth, and pharmacologic inhibitors of Ral function may provide an effective anti-Ras therapeutic strategy. Intriguingly, although RalA and RalB share strong overall amino acid sequence identity, exhibit essentially identical structural and biochemical properties, and can utilize the same downstream effectors, they also exhibit divergent and sometimes opposing roles in the tumorigenic and metastatic growth of different cancer types. These distinct biological functions have been attributed largely to sequence divergence in their carboxyl-terminal hypervariable regions. However, the role of posttranslational modifications signaled by the hypervariable region carboxyl-terminal tetrapeptide CAAX motif (C = cysteine, A = aliphatic amino acid, X = terminal residue) in Ral isoform-selective functions has not been addressed. We determined that these modifications have distinct roles and consequences. Both RalA and RalB require Ras converting CAAX endopeptidase 1 (RCE1) for association with the plasma membrane, albeit not with endomembranes, and loss of RCE1 caused mislocalization as well as sustained activation of both RalA and RalB. In contrast, isoprenylcysteine carboxylmethyltransferase (ICMT) deficiency disrupted plasma membrane localization only of RalB, whereas RalA depended on ICMT for efficient endosomal localization. Furthermore, the absence of ICMT increased stability of RalB but not RalA protein. Finally, palmitoylation was critical for subcellular localization of RalB but not RalA. In summary, we have identified striking isoform-specific consequences of distinct CAAX-signaled posttranslational modifications that contribute to the divergent subcellular localization and activity of RalA and RalB.

Collaboration


Dive into the Denis Tsygankov's collaboration.

Top Co-Authors

Avatar

Timothy C. Elston

University of North Carolina at Chapel Hill

View shared research outputs
Top Co-Authors

Avatar

Klaus M. Hahn

University of North Carolina at Chapel Hill

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Kurt Wiesenfeld

Georgia Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Nikolay V. Dokholyan

University of North Carolina at Chapel Hill

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Pei Hsuan Chu

University of North Carolina at Chapel Hill

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Andrei V. Karginov

University of Illinois at Chicago

View shared research outputs
Top Co-Authors

Avatar

Colleen G. Bilancia

University of North Carolina at Chapel Hill

View shared research outputs
Researchain Logo
Decentralizing Knowledge