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Sergey Vorobiev

Bio: Sergey Vorobiev is an academic researcher from University Health Network. The author has contributed to research in topics: Quadrupole mass analyzer & Reflectron. The author has an hindex of 1, co-authored 1 publications receiving 914 citations.

Papers
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Journal ArticleDOI
TL;DR: A novel instrument for real time analysis of individual biological cells or other microparticles is described and real-time simultaneous detection of multiple isotopes from individual 1.8 microm polystyrene beads labeled with lanthanides is shown.
Abstract: A novel instrument for real time analysis of individual biological cells or other microparticles is described. The instrument is based on inductively coupled plasma time-of-flight mass spectrometry and comprises a three-aperture plasma−vacuum interface, a dc quadrupole turning optics for decoupling ions from neutral components, an rf quadrupole ion guide discriminating against low-mass dominant plasma ions, a point-to-parallel focusing dc quadrupole doublet, an orthogonal acceleration reflectron analyzer, a discrete dynode fast ion detector, and an 8-bit 1 GHz digitizer. A high spectrum generation frequency of 76.8 kHz provides capability for collecting multiple spectra from each particle-induced transient ion cloud, typically of 200−300 μs duration. It is shown that the transients can be resolved and characterized individually at a peak frequency of 1100 particles per second. Design considerations and optimization data are presented. The figures of merit of the instrument are measured under standard indu...

1,072 citations


Cited by
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Journal ArticleDOI
06 May 2011-Science
TL;DR: Single-cell “mass cytometry” analyses provide system-wide views of immune signaling in healthy human hematopoiesis, against which drug action and disease can be compared for mechanistic studies and pharmacologic intervention.
Abstract: Flow cytometry is an essential tool for dissecting the functional complexity of hematopoiesis. We used single-cell "mass cytometry" to examine healthy human bone marrow, measuring 34 parameters simultaneously in single cells (binding of 31 antibodies, viability, DNA content, and relative cell size). The signaling behavior of cell subsets spanning a defined hematopoietic hierarchy was monitored with 18 simultaneous markers of functional signaling states perturbed by a set of ex vivo stimuli and inhibitors. The data set allowed for an algorithmically driven assembly of related cell types defined by surface antigen expression, providing a superimposable map of cell signaling responses in combination with drug inhibition. Visualized in this manner, the analysis revealed previously unappreciated instances of both precise signaling responses that were bounded within conventionally defined cell subsets and more continuous phosphorylation responses that crossed cell population boundaries in unexpected manners yet tracked closely with cellular phenotype. Collectively, such single-cell analyses provide system-wide views of immune signaling in healthy human hematopoiesis, against which drug action and disease can be compared for mechanistic studies and pharmacologic intervention.

2,147 citations

Journal ArticleDOI
TL;DR: In this article, the authors present viSNE, a tool that allows one to map high-dimensional cytometry data onto two dimensions, yet conserve the highdimensional structure of the data by using all pairwise distances in high dimension to determine each cell's location in the plot.
Abstract: New high-dimensional, single-cell technologies offer unprecedented resolution in the analysis of heterogeneous tissues. However, because these technologies can measure dozens of parameters simultaneously in individual cells, data interpretation can be challenging. Here we present viSNE, a tool that allows one to map high-dimensional cytometry data onto two dimensions, yet conserve the high-dimensional structure of the data. viSNE plots individual cells in a visual similar to a scatter plot, while using all pairwise distances in high dimension to determine each cell's location in the plot. We integrated mass cytometry with viSNE to map healthy and cancerous bone marrow samples. Healthy bone marrow automatically maps into a consistent shape, whereas leukemia samples map into malformed shapes that are distinct from healthy bone marrow and from each other. We also use viSNE and mass cytometry to compare leukemia diagnosis and relapse samples, and to identify a rare leukemia population reminiscent of minimal residual disease. viSNE can be applied to any multi-dimensional single-cell technology.

1,474 citations

Journal ArticleDOI
15 Sep 2016-Nature
TL;DR: Powerful mass-spectrometry-based technologies now provide unprecedented insights into the composition, structure, function and control of the proteome, shedding light on complex biological processes and phenotypes.
Abstract: Numerous biological processes are concurrently and coordinately active in every living cell. Each of them encompasses synthetic, catalytic and regulatory functions that are, almost always, carried out by proteins organized further into higher-order structures and networks. For decades, the structures and functions of selected proteins have been studied using biochemical and biophysical methods. However, the properties and behaviour of the proteome as an integrated system have largely remained elusive. Powerful mass-spectrometry-based technologies now provide unprecedented insights into the composition, structure, function and control of the proteome, shedding light on complex biological processes and phenotypes.

1,458 citations

Journal ArticleDOI
Aviv Regev1, Aviv Regev2, Aviv Regev3, Sarah A. Teichmann4, Sarah A. Teichmann5, Sarah A. Teichmann6, Eric S. Lander7, Eric S. Lander1, Eric S. Lander3, Ido Amit8, Christophe Benoist7, Ewan Birney4, Bernd Bodenmiller9, Bernd Bodenmiller4, Peter J. Campbell6, Peter J. Campbell5, Piero Carninci6, Menna R. Clatworthy10, Hans Clevers11, Bart Deplancke12, Ian Dunham4, James Eberwine13, Roland Eils14, Roland Eils15, Wolfgang Enard16, Andrew Farmer, Lars Fugger17, Berthold Göttgens6, Nir Hacohen7, Nir Hacohen3, Muzlifah Haniffa18, Martin Hemberg5, Seung K. Kim19, Paul Klenerman20, Paul Klenerman17, Arnold R. Kriegstein21, Ed S. Lein22, Sten Linnarsson23, Emma Lundberg24, Emma Lundberg19, Joakim Lundeberg24, Partha P. Majumder, John C. Marioni4, John C. Marioni6, John C. Marioni5, Miriam Merad25, Musa M. Mhlanga26, Martijn C. Nawijn27, Mihai G. Netea28, Garry P. Nolan19, Dana Pe'er29, Anthony Phillipakis3, Chris P. Ponting30, Stephen R. Quake19, Wolf Reik31, Wolf Reik6, Wolf Reik5, Orit Rozenblatt-Rosen3, Joshua R. Sanes7, Rahul Satija32, Ton N. Schumacher33, Alex K. Shalek3, Alex K. Shalek1, Alex K. Shalek34, Ehud Shapiro8, Padmanee Sharma35, Jay W. Shin, Oliver Stegle4, Michael R. Stratton5, Michael J. T. Stubbington5, Fabian J. Theis36, Matthias Uhlen37, Matthias Uhlen24, Alexander van Oudenaarden11, Allon Wagner38, Fiona M. Watt39, Jonathan S. Weissman, Barbara J. Wold40, Ramnik J. Xavier, Nir Yosef34, Nir Yosef38, Human Cell Atlas Meeting Participants 
05 Dec 2017-eLife
TL;DR: An open comprehensive reference map of the molecular state of cells in healthy human tissues would propel the systematic study of physiological states, developmental trajectories, regulatory circuitry and interactions of cells, and also provide a framework for understanding cellular dysregulation in human disease.
Abstract: The recent advent of methods for high-throughput single-cell molecular profiling has catalyzed a growing sense in the scientific community that the time is ripe to complete the 150-year-old effort to identify all cell types in the human body. The Human Cell Atlas Project is an international collaborative effort that aims to define all human cell types in terms of distinctive molecular profiles (such as gene expression profiles) and to connect this information with classical cellular descriptions (such as location and morphology). An open comprehensive reference map of the molecular state of cells in healthy human tissues would propel the systematic study of physiological states, developmental trajectories, regulatory circuitry and interactions of cells, and also provide a framework for understanding cellular dysregulation in human disease. Here we describe the idea, its potential utility, early proofs-of-concept, and some design considerations for the Human Cell Atlas, including a commitment to open data, code, and community.

1,391 citations

Journal ArticleDOI
TL;DR: The coupled immunohistochemical and immunocytochemical methods with high-resolution laser ablation to CyTOF mass cytometry enables the simultaneous imaging of 32 proteins and protein modifications at subcellular resolution and complements existing imaging approaches.
Abstract: Mass cytometry enables high-dimensional, single-cell analysis of cell type and state. In mass cytometry, rare earth metals are used as reporters on antibodies. Analysis of metal abundances using the mass cytometer allows determination of marker expression in individual cells. Mass cytometry has previously been applied only to cell suspensions. To gain spatial information, we have coupled immunohistochemical and immunocytochemical methods with high-resolution laser ablation to CyTOF mass cytometry. This approach enables the simultaneous imaging of 32 proteins and protein modifications at subcellular resolution; with the availability of additional isotopes, measurement of over 100 markers will be possible. We applied imaging mass cytometry to human breast cancer samples, allowing delineation of cell subpopulations and cell-cell interactions and highlighting tumor heterogeneity. Imaging mass cytometry complements existing imaging approaches. It will enable basic studies of tissue heterogeneity and function and support the transition of medicine toward individualized molecularly targeted diagnosis and therapies.

1,288 citations