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Dive into the research topics where Andrea Balbo is active.

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Featured researches published by Andrea Balbo.


Neuropharmacology | 1999

Increased synaptic depression in the Ts65Dn mouse, a model for mental retardation in Down syndrome

Elaine J. Carlson; Charles J. Epstein; Andrea Balbo; Stanley I. Rapoport; Zygmunt Galdzicki

Long-term potentiation (LTP) and depression (LTD) were investigated in hippocampus of a genetic model of Down syndrome, the segmental trisomy (Ts65Dn) mouse. Field excitatory postsynaptic potentials were recorded from hippocampal slices and LTP and LTD evoked sequentially. LTP decreased whereas LTD increased significantly in Ts65Dn compared with control hippocampus.


Biophysical Journal | 2003

Combined Affinity and Rate Constant Distributions of Ligand Populations from Experimental Surface Binding Kinetics and Equilibria

Juraj Svitel; Andrea Balbo; Roy A. Mariuzza; Noreen R. Gonzales; Peter Schuck

The present article considers the influence of heterogeneity in a mobile analyte or in an immobilized ligand population on the surface binding kinetics and equilibrium isotherms. We describe strategies for solving the inverse problem of calculating two-dimensional distributions of rate and affinity constants from experimental data on surface binding kinetics, such as obtained from optical biosensors. Although the characterization of a heterogeneous population of analytes binding to uniform surface sites may be possible under suitable experimental conditions, computational difficulties currently limit this approach. In contrast, the case of uniform analytes binding to heterogeneous populations of surface sites is computationally feasible, and can be combined with Tikhonov-Phillips and maximum entropy regularization techniques that provide the simplest distribution that is consistent with the data. The properties of this ligand distribution analysis are explored with several experimental and simulated data sets. The resulting two-dimensional rate and affinity constant distributions can describe well experimental kinetic traces measured with optical biosensors. The use of kinetic surface binding data can give significantly higher resolution than affinity distributions from the binding isotherms alone. The shape and the level of detail of the calculated distributions depend on the experimental conditions, such as contact times and the concentration range of the analyte. Despite the flexibility introduced by considering surface site distributions, the impostor application of this model to surface binding data from transport limited binding processes or from analyte distributions can be identified by large residuals, if a sufficient range of analyte concentrations and contact times are used. The distribution analysis can provide a rational interpretation of complex experimental surface binding kinetics, and provides an analytical tool for probing the homogeneity of the populations of immobilized protein.


The EMBO Journal | 2010

Cooperative interactions at the SLP-76 complex are critical for actin polymerization

Mira Barda-Saad; Naoto Shirasu; Maor H. Pauker; Nirit Hassan; Orly Perl; Andrea Balbo; Hiroshi Yamaguchi; Jon C. D. Houtman; Ettore Appella; Peter Schuck; Lawrence E. Samelson

T‐cell antigen receptor (TCR) engagement induces formation of multi‐protein signalling complexes essential for regulating T‐cell functions. Generation of a complex of SLP‐76, Nck and VAV1 is crucial for regulation of the actin machinery. We define the composition, stoichiometry and specificity of interactions in the SLP‐76, Nck and VAV1 complex. Our data reveal that this complex can contain one SLP‐76 molecule, two Nck and two VAV1 molecules. A direct interaction between Nck and VAV1 is mediated by binding between the C‐terminal SH3 domain of Nck and the VAV1 N‐terminal SH3 domain. Disruption of the VAV1:Nck interaction deleteriously affected actin polymerization. These novel findings shed new light on the mechanism of actin polymerization after T‐cell activation.


Journal of Neurochemistry | 2006

Altered signaling pathways underlying abnormal hippocampal synaptic plasticity in the Ts65Dn mouse model of Down syndrome

Angelina Kline-Burgess; Madelaine Cho; Andrea Balbo; Tyler K. Best; Chie Harashima; Eric Klann; Zygmunt Galdzicki

The Ts65Dn mouse model of Down syndrome (DS) has an extra segment of chromosome (Chr.) 16 exhibits abnormal behavior, synaptic plasticity and altered function of several signaling molecules. We have further investigated signaling pathways that may be responsible for the impaired hippocampal plasticity in the Ts65Dn mouse. Here we report that calcium/calmodulin‐dependent protein kinase II (CaMKII), phosphatidylinositol 3‐kinase (PI3K)/Akt, extracellular signal‐regulated kinase (ERK), protein kinase A (PKA) and protein kinase C (PKC), all of which have been shown to be involved in synaptic plasticity, are altered in the Ts65Dn hippocampus. We found that the phosphorylation of CaMKII and protein kinase Akt was increased, whereas ERK was decreased. Activities of PKA and PKC were decreased. Furthermore, abnormal PKC activity and an absence of the increase in Akt phosphorylation were demonstrated in the Ts65Dn hippocampus after high‐frequency stimulation that induces long‐term potentiation. Our findings suggest that abnormal synaptic plasticity in the Ts65Dn hippocampus is the result of compensatory alterations involving the glutamate receptor subunit GluR1 in either one or more of these signaling cascades caused by the expression of genes located on the extra segment of Chr. 16.


Current protocols in immunology | 2008

Characterizing Protein‐Protein Interactions by Sedimentation Velocity Analytical Ultracentrifugation

Patrick H. Brown; Andrea Balbo; Peter Schuck

This unit introduces the basic principles and practice of sedimentation velocity analytical ultracentrifugation for the study of reversible protein interactions, such as the characterization of self‐association, heterogeneous association, multi‐protein complexes, binding stoichiometry, and the determination of association constants. The analytical tools described include sedimentation coefficient and molar mass distributions, multi‐signal sedimentation coefficient distributions, Gilbert‐Jenkins theory, different forms of isotherms, and global Lamm equation modeling. Concepts for the experimental design are discussed, and a detailed step‐by‐step protocol guiding the reader through the experiment and the data analysis is available as an Internet resource. Curr. Protoc. Immunol. 81:18.15.1‐18.15.39.


Journal of Biological Chemistry | 2009

Autoinhibition of Arf GTPase-activating Protein Activity by the BAR Domain in ASAP1

Xiaoying Jian; Patrick O. Brown; Peter Schuck; James M. Gruschus; Andrea Balbo; Jenny E. Hinshaw; Paul A. Randazzo

ASAP1 is an Arf GTPase-activating protein (GAP) that functions on membrane surfaces to catalyze the hydrolysis of GTP bound to Arf. ASAP1 contains a tandem of BAR, pleckstrin homology (PH), and Arf GAP domains and contributes to the formation of invadopodia and podosomes. The PH domain interacts with the catalytic domain influencing both the catalytic and Michaelis constants. Tandem BAR-PH domains have been found to fold into a functional unit. The results of sedimentation velocity studies were consistent with predictions from homology models in which the BAR and PH domains of ASAP1 fold together. We set out to test the hypothesis that the BAR domain of ASAP1 affects GAP activity by interacting with the PH and/or Arf GAP domains. Recombinant proteins composed of the BAR, PH, Arf GAP, and Ankyrin repeat domains (called BAR-PZA) and the PH, Arf GAP, and Ankyrin repeat domains (PZA) were compared. Catalytic power for the two proteins was determined using large unilamellar vesicles as a reaction surface. The catalytic power of PZA was greater than that of BAR-PZA. The effect of the BAR domain was dependent on the N-terminal loop of the BAR domain and was not the consequence of differential membrane association or changes in large unilamellar vesicle curvature. The Km for BAR-PZA was greater and the kcat was smaller than for PZA determined by saturation kinetics. Analysis of single turnover kinetics revealed a transition state intermediate that was affected by the BAR domain. We conclude that BAR domains can affect enzymatic activity through intraprotein interactions.


European Biophysics Journal | 2009

On the analysis of sedimentation velocity in the study of protein complexes

Patrick H. Brown; Andrea Balbo; Peter Schuck

Sedimentation velocity analytical ultracentrifugation has experienced a significant transformation, precipitated by the possibility of efficiently fitting Lamm equation solutions to the experimental data. The precision of this approach depends on the ability to account for the imperfections of the experiment, both regarding the sample and the instrument. In the present work, we explore in more detail the relationship between the sedimentation process, its detection, and the model used in the mathematical data analysis. We focus on configurations that produce steep and fast-moving sedimentation boundaries, such as frequently encountered when studying large multi-protein complexes. First, as a computational tool facilitating the analysis of heterogeneous samples, we introduce the strategy of partial boundary modeling. It can simplify the modeling by restricting the direct boundary analysis to species with sedimentation coefficients in a predefined range. Next, we examine factors related to the experimental detection, including the magnitude of optical aberrations generated by out-of-focus solution columns at high protein concentrations, the relationship between the experimentally recorded signature of the meniscus and the meniscus parameter in the data analysis, and the consequences of the limited radial and temporal resolution of the absorbance optical scanning system. Surprisingly, we find that large errors can be caused by the finite scanning speed of the commercial absorbance optics, exceeding the statistical errors in the measured sedimentation coefficients by more than an order of magnitude. We describe how these effects can be computationally accounted for in SEDFIT and SEDPHAT.


Neuropsychopharmacology | 2003

Imaging brain phospholipase A2 activation in awake rats in response to the 5-HT2A/2C agonist (+/-)2,5-dimethoxy-4-iodophenyl-2-aminopropane (DOI).

Ying Qu; Lisa Chang; Justin Klaff; Andrea Balbo; Stanley I. Rapoport

Incorporation coefficients k* of intravenously injected [3H]arachidonic acid from blood into brain reflect the release from phospholipids of arachidonic acid by receptor-initiated activation of phospholipase A2 (PLA2). In unanesthetized adult rats, 2.5 mg/kg intraperitoneally (i.p.) (±)2,5-dimethoxy-4-iodophenyl-2-aminopropane (DOI), which is a 5-HT2A/2C receptor agonist, has been reported to produce the behavioral changes of what is known as the 5-HT2 syndrome, but only a few small regional decrements in brain glucose metabolism. In this study, 2.5 mg/kg i.p. DOI, when administered to unanesthetized rats, produced widespread and significant increases, of the order of 60%, in k* for arachidonate, particularly in neocortical brain regions reported to have high densities of 5-HT2A receptors. The increases could be entirely blocked by chronic pretreatment with mianserin, a 5-HT2 receptor antagonist. The results suggest that the 5-HT2 syndrome involves widespread brain activation of PLA2 via 5-HT2A receptors, leading to the release of the second messenger, arachidonic acid. Chronic mianserin, a 5-HT2 antagonist, prevents this activation.


Analytical Biochemistry | 2013

Improving the Thermal, Radial and Temporal Accuracy of the Analytical Ultracentrifuge through External References

Rodolfo Ghirlando; Andrea Balbo; Grzegorz Piszczek; Patrick H. Brown; Marc S. Lewis; Chad A. Brautigam; Peter Schuck; Huaying Zhao

Sedimentation velocity (SV) is a method based on first principles that provides a precise hydrodynamic characterization of macromolecules in solution. Due to recent improvements in data analysis, the accuracy of experimental SV data emerges as a limiting factor in its interpretation. Our goal was to unravel the sources of experimental error and develop improved calibration procedures. We implemented the use of a Thermochron iButton temperature logger to directly measure the temperature of a spinning rotor and detected deviations that can translate into an error of as much as 10% in the sedimentation coefficient. We further designed a precision mask with equidistant markers to correct for instrumental errors in the radial calibration that were observed to span a range of 8.6%. The need for an independent time calibration emerged with use of the current data acquisition software (Zhao et al., Anal. Biochem., 437 (2013) 104-108), and we now show that smaller but significant time errors of up to 2% also occur with earlier versions. After application of these calibration corrections, the sedimentation coefficients obtained from 11 instruments displayed a significantly reduced standard deviation of approximately 0.7%. This study demonstrates the need for external calibration procedures and regular control experiments with a sedimentation coefficient standard.


Current protocols in immunology | 2007

Measuring Protein‐Protein Interactions by Equilibrium Sedimentation

Andrea Balbo; Patrick H. Brown; Emory H. Braswell; Peter Schuck

This unit describes basic principles and practice of sedimentation equilibrium analytical ultracentrifugation for the study of reversible protein interactions, such as the characterization of self‐association, heterogeneous association, and binding stoichiometry, as well as the determination of association constants. Advanced tools such as mass conservation analysis, multiwavelength analysis, and global analysis are introduced and discussed in the context of the experimental design. A detailed protocol guiding the investigator through the experimental steps and the data analysis is available as an internet resource. Curr. Protoc. Immunol. 79:18.8.1‐8.18.28.

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Peter Schuck

National Institutes of Health

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Patrick H. Brown

National Institutes of Health

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Stanley I. Rapoport

National Institutes of Health

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Huaying Zhao

National Institutes of Health

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Kishena C. Wadhwani

National Institutes of Health

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Carole H. Latker

National Institutes of Health

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David H. Margulies

National Institutes of Health

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Ettore Appella

National Institutes of Health

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Howard Robinson

Brookhaven National Laboratory

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Janet Mans

National Institutes of Health

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