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Dive into the research topics where Kirill Zaslavsky is active.

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Featured researches published by Kirill Zaslavsky.


The Journal of Neuroscience | 2011

Stimulation of Entorhinal Cortex Promotes Adult Neurogenesis and Facilitates Spatial Memory

Scellig Stone; Cátia Teixeira; Loren M. DeVito; Kirill Zaslavsky; Sheena A. Josselyn; Andres M. Lozano; Paul W. Frankland

Deep brain stimulation (DBS) is an established therapeutic modality for the treatment of movement disorders and an emerging therapeutic approach for the treatment of disorders of mood and thought. For example, recently we have shown that DBS of the fornix may ameliorate cognitive decline associated with dementia. However, like other applications of DBS, the mechanisms mediating these clinical effects are unknown. As DBS modulates neurophysiological activity in targeted brain regions, DBS might influence cognitive function via activity-dependent regulation of hippocampal neurogenesis. Using stimulation parameters analogous to clinical high-frequency DBS, here we addressed this question in mice. We found that acute stimulation of the entorhinal cortex (EC) transiently promoted proliferation in the dentate gyrus (DG). Cells generated as a consequence of stimulation differentiated into neurons, survived for at least several weeks, and acquired normal dentate granule cell (DGC) morphology. Importantly, stimulation-induced promotion of neurogenesis was limited to the DG and not associated with changes in apoptotic cell death. Using immunohistochemical approaches, we found that, once sufficiently mature, these stimulation-induced neurons integrated into hippocampal circuits supporting water-maze memory. Finally, formation of water-maze memory was facilitated 6 weeks (but not 1 week) after bilateral stimulation of the EC. The delay-dependent nature of these effects matches the maturation-dependent integration of adult-generated DGCs into dentate circuits supporting water-maze memory. Furthermore, because the beneficial effects of EC stimulation were prevented by blocking neurogenesis, this suggests a causal relationship between stimulation-induced promotion of adult neurogenesis and enhanced spatial memory.


Frontiers in Integrative Neuroscience | 2009

What is the most sensitive measure of water maze probe test performance

Hamid Reza Maei; Kirill Zaslavsky; Cátia M. Teixeira; Paul W. Frankland

The water maze is commonly used to assay spatial cognition, or, more generally, learning and memory in experimental rodent models. In the water maze, mice or rats are trained to navigate to a platform located below the waters surface. Spatial learning is then typically assessed in a probe test, where the platform is removed from the pool and the mouse or rat is allowed to search for it. Performance in the probe test may then be evaluated using either occupancy-based (percent time in a virtual quadrant [Q] or zone [Z] centered on former platform location), error-based (mean proximity to former platform location [P]) or counting-based (platform crossings [X]) measures. While these measures differ in their popularity, whether they differ in their ability to detect group differences is not known. To address this question we compiled five separate databases, containing more than 1600 mouse probe tests. Random selection of individual trials from respective databases then allowed us to simulate experiments with varying sample and effect sizes. Using this Monte Carlo-based method, we found that the P measure consistently outperformed the Q, Z and X measures in its ability to detect group differences. This was the case regardless of sample or effect size, and using both parametric and non-parametric statistical analyses. The relative superiority of P over other commonly used measures suggests that it is the most appropriate measure to employ in both low- and high-throughput water maze screens.


Hippocampus | 2011

Functional Convergence of Developmentally and Adult-Generated Granule Cells in Dentate Gyrus Circuits Supporting Hippocampus-Dependent Memory

Scellig Stone; Cátia Teixeira; Kirill Zaslavsky; Anne L. Wheeler; Alonso Martinez-Canabal; Afra H. Wang; Masanori Sakaguchi; Andres M. Lozano; Paul W. Frankland

In the hippocampus, the production of dentate granule cells (DGCs) persists into adulthood. As adult‐generated neurons are thought to contribute to hippocampal memory processing, promoting adult neurogenesis therefore offers the potential for restoring mnemonic function in the aged or diseased brain. Within this regenerative context, one key issue is whether developmentally generated and adult‐generated DGCs represent functionally equivalent or distinct neuronal populations. To address this, we labeled separate cohorts of developmentally generated and adult‐generated DGCs and used immunohistochemical approaches to compare their integration into circuits supporting hippocampus‐dependent memory in intact mice. First, in the water maze task, rates of integration of adult‐generated DGCs were regulated by maturation, with maximal integration not occurring until DGCs were five or more weeks in age. Second, these rates of integration were equivalent for embryonically, postnatally, and adult‐generated DGCs. Third, these findings generalized to another hippocampus‐dependent task, contextual fear conditioning. Together, these experiments indicate that developmentally generated and adult‐generated DGCs are integrated into hippocampal memory networks at similar rates, and suggest a functional equivalence between DGCs generated at different developmental stages.


Frontiers in Cellular Neuroscience | 2014

Optimizing neuronal differentiation from induced pluripotent stem cells to model ASD

Dae-Sung Kim; P. Joel Ross; Kirill Zaslavsky; James Ellis

Autism spectrum disorder (ASD) is an early-onset neurodevelopmental disorder characterized by deficits in social communication, and restricted and repetitive patterns of behavior. Despite its high prevalence, discovery of pathophysiological mechanisms underlying ASD has lagged due to a lack of appropriate model systems. Recent advances in induced pluripotent stem cell (iPSC) technology and neural differentiation techniques allow for detailed functional analyses of neurons generated from living individuals with ASD. Refinement of cortical neuron differentiation methods from iPSCs will enable mechanistic studies of specific neuronal subpopulations that may be preferentially impaired in ASD. In this review, we summarize recent accomplishments in differentiation of cortical neurons from human pluripotent stems cells and efforts to establish in vitro model systems to study ASD using personalized neurons.


Molecular Brain | 2015

Human induced pluripotent stem cell derived neurons as a model for Williams-Beuren syndrome.

Shahryar Khattak; Elise Brimble; Wenbo Zhang; Kirill Zaslavsky; Emma Strong; P. Joel Ross; Jason Hendry; Seema Mital; Michael W. Salter; Lucy R. Osborne; James Ellis

BackgroundWilliams-Beuren Syndrome (WBS) is caused by the microdeletion of approximately 25 genes on chromosome 7q11.23, and is characterized by a spectrum of cognitive and behavioural features.ResultsWe generated cortical neurons from a WBS individual and unaffected (WT) control by directed differentiation of induced pluripotent stem cells (iPSCs). Single cell mRNA analyses and immunostaining demonstrated very efficient production of differentiated cells expressing markers of mature neurons of mixed subtypes and from multiple cortical layers. We found that there was a profound alteration in action potentials, with significantly prolonged WBS repolarization times and a WBS deficit in voltage-activated K+ currents. Miniature excitatory synaptic currents were normal, indicating that unitary excitatory synaptic transmission was not altered. Gene expression profiling identified 136 negatively enriched gene sets in WBS compared to WT neurons including gene sets involved in neurotransmitter receptor activity, synaptic assembly, and potassium channel complexes.ConclusionsOur findings provide insight into gene dysregulation and electrophysiological defects in WBS patient neurons.


Frontiers in Integrative Neuroscience | 2009

Development and validation of a sensitive entropy-based measure for the water maze

Hamid Reza Maei; Kirill Zaslavsky; Afra H. Wang; Adelaide P. Yiu; Cátia Teixeira; Sheena A. Josselyn; Paul W. Frankland

In the water maze, mice are trained to navigate to an escape platform located below the waters surface, and spatial learning is most commonly evaluated in a probe test in which the platform is removed from the pool. While contemporary tracking software provides precise positional information of mice for the duration of the probe test, existing performance measures (e.g., percent quadrant time, platform crossings) fail to exploit fully the richness of this positional data. Using the concept of entropy (H), here we develop a new measure that considers both how focused the search is and the degree to which searching is centered on the former platform location. To evaluate how H performs compared to existing measures of water maze performance we compiled five separate databases, containing more than 1600 mouse probe tests. Random selection of individual trials from respective databases then allowed us to simulate experiments with varying sample and effect sizes. Using this Monte Carlo-based method, we found that H outperformed existing measures in its ability to detect group differences over a range of sample or effect sizes. Additionally, we validated the new measure using three models of experimentally induced hippocampal dysfunction: (1) complete hippocampal lesions, (2) genetic deletion of αCaMKII, a gene implicated in hippocampal behavioral and synaptic plasticity, and (3) a mouse model of Alzheimers disease. Together, these data indicate that H offers greater sensitivity than existing measures, most likely because it exploits the richness of the precise positional information of the mouse throughout the probe test.


CMAJ Open | 2017

Characteristics and outcomes of Canadian MD/PhD program graduates: a cross-sectional survey

Michael A. Skinnider; Jordan W. Squair; David D.W. Twa; Jennifer X. Ji; Alexandra Kuzyk; Xin Wang; Patrick E. Steadman; Kirill Zaslavsky; Ayan K. Dey; Mark J. Eisenberg; Ève-Reine Gagné; Kent T. HayGlass; James F. Lewis; Peter J. Margetts; D. Alan Underhill; Norman D. Rosenblum; Lynn A. Raymond

BACKGROUND Combined MD/PhD programs provide a structured path for physician-scientist training, but assessment of their success within Canada is limited by a lack of quantitative data. We collected outcomes data for graduates of Canadian MD/PhD programs. METHODS We developed and implemented a Web-based survey consisting of 41 questions designed to collect outcomes data for Canadian MD/PhD program alumni from 8 Canadian universities who had graduated before September 2015. Respondents were categorized into 2 groups according to whether they had or had not completed all training. RESULTS Of the 186 eligible alumni of MD/PhD programs, 139 (74.7%) completed the survey. A total of 136/138 respondents (98.6%) had completed or were currently completing residency training, and 66/80 (82%) had completed at least 1 postgraduate fellowship. Most (58 [83%]) of the 70 respondents who had completed all training were appointed as faculty at academic institutions, and 37 (53%) had been principal investigators on at least 1 recent funded project. Among the 58 respondents appointed at academic institutions, 44/57 (77%) dedicated at least 20% of their time to research, and 25/57 (44%) dedicated at least 50% to research. During their combined degree, 102/136 respondents (75.0%) published 3 or more first-author papers, and 133/136 (97.8%) matched with their first choice of specialty. The median length of physician-scientist training was 13.5 years. Most respondents graduated with debt despite having been supported by Canadian Institutes of Health Research MD/PhD studentships. INTERPRETATION Most Canadian MD/PhD program alumni pursued careers consistent with their physician-scientist training, which indicates that these programs are meeting their primary objective. Nevertheless, our findings highlight that a minority of these positions are research intensive; this finding warrants further study. Our data provide a baseline for future monitoring of the output of Canadian MD/PhD programs.


bioRxiv | 2018

Complete Disruption of Autism-Susceptibility Genes by Gene-Editing Predominantly Reduces Functional Connectivity of Isogenic Human Neurons

Eric Deneault; Sean H White; Deivid C. Rodrigues; Joel Ross; Muhammad Faheem; Kirill Zaslavsky; Z. B. Wang; Roumiana Alexandrova; Giovanna Pellecchia; Wei Wei; Alina Piekna; Gaganjot Kaur; Jennifer L. Howe; Vickie Kwan; Bhooma Thiruvahindrapuram; Susan Walker; Peter Pasceri; Daniele Merico; Ryan Kc Yuen; Karun K. Singh; Jim R. Ellis; Stephen W. Scherer

Autism Spectrum Disorder is phenotypically and genetically heterogeneous, but genomic analyses have identified candidate susceptibility genes. We present a CRISPR gene editing strategy to insert a protein tag and premature termination sites creating an induced pluripotent stem cell (iPSC) knockout resource for functional studies of 10 ASD-relevant genes (AFF2/FMR2, ANOS1, ASTN2, ATRX, CACNA1C, CHD8, DLGAP2, KCNQ2, SCN2A, TENM1). Neurogenin 2 (NEUROG2)-directed differentiation of iPSCs allowed production of cortical excitatory neurons, and mutant proteins were not detectable. RNAseq revealed convergence of several neuronal networks. Using both patch-clamp and multi-electrode array approaches, the electrophysiological deficits measured were distinct for different mutations. However, they culminated in a consistent reduction in synaptic activity, including reduced spontaneous excitatory post-synaptic current frequencies in AFF2/FMR2-, ASTN2-, ATRX-, KCNQ2- and SCN2A-null neurons. Despite ASD susceptibility genes belonging to different gene ontologies, isogenic stem cell resources can reveal common functional phenotypes, such as reduced functional connectivity.


Cell Reports | 2016

MECP2 Is Post-transcriptionally Regulated during Human Neurodevelopment by Combinatorial Action of RNA-Binding Proteins and miRNAs

Deivid C. Rodrigues; Dae-Sung Kim; Guang Yang; Kirill Zaslavsky; Kevin C.H. Ha; Rebecca S.F. Mok; P. Joel Ross; Melody Zhao; Alina Piekna; Wei Wei; Benjamin J. Blencowe; Quaid Morris; James Ellis


Clinical and Investigative Medicine | 2017

Scientific Overview on CSCI-CITAC Annual General Meeting and 2016 Young Investigators’ Forum

Tianwei E Zhou; K.I. Barton; Elina K. Cook; Matthew G.K. Benesch; Nicholas Jette; Christophe Moderie; Katarina Ondrusova; Caitlin Lees; Patrick E. Steadman; Tina Binesh Marvasti; Sara Mirali; Peter J Liu; Ege M Babadagli; Kara J Abraham; Kirill Zaslavsky

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