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Dive into the research topics where Peter Tseng is active.

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Featured researches published by Peter Tseng.


Nature Methods | 2012

Magnetic nanoparticle-mediated massively parallel mechanical modulation of single-cell behavior

Peter Tseng; Jack W. Judy; Dino Di Carlo

We report a technique for generating controllable, time-varying and localizable forces on arrays of cells in a massively parallel fashion. To achieve this, we grow magnetic nanoparticle–dosed cells in defined patterns on micromagnetic substrates. By manipulating and coalescing nanoparticles within cells, we apply localized nanoparticle-mediated forces approaching cellular yield tensions on the cortex of HeLa cells. We observed highly coordinated responses in cellular behavior, including the p21-activated kinase–dependent generation of active, leading edge–type filopodia and biasing of the metaphase plate during mitosis. The large sample size and rapid sample generation inherent to this approach allow the analysis of cells at an unprecedented rate: in a single experiment, potentially tens of thousands of cells can be stimulated for high statistical accuracy in measurements. This technique shows promise as a tool for both cell analysis and control.


Current Opinion in Biotechnology | 2014

Advances in High-Throughput Single-Cell Microtechnologies

Westbrook M. Weaver; Peter Tseng; Anja Kunze; Mahdohkht Masaeli; Aram J. Chung; Jaideep S. Dudani; Harsha Kittur; Rajan P. Kulkarni; Dino Di Carlo

Micro-scale biological tools that have allowed probing of individual cells--from the genetic, to proteomic, to phenotypic level--have revealed important contributions of single cells to direct normal and diseased body processes. In analyzing single cells, sample heterogeneity between and within specific cell types drives the need for high-throughput and quantitative measurement of cellular parameters. In recent years, high-throughput single-cell analysis platforms have revealed rare genetic subpopulations in growing tumors, begun to uncover the mechanisms of antibiotic resistance in bacteria, and described the cell-to-cell variations in stem cell differentiation and immune cell response to activation by pathogens. This review surveys these recent technologies, presenting their strengths and contributions to the field, and identifies needs still unmet toward the development of high-throughput single-cell analysis tools to benefit life science research and clinical diagnostics.


Nano Letters | 2009

Rapid and dynamic intracellular patterning of cell-internalized magnetic fluorescent nanoparticles.

Peter Tseng; Dino Di Carlo; Jack W. Judy

Conjugated magnetic nanoparticles have recently demonstrated potential in activating unique and specific activity within cells. Leveraging microfabrication, we have developed a technique of localizing nanoparticles to specific, subcellular locations by a micropatterned ferromagnetic substrate. Controlled patterns of nanoparticles were assembled and dynamically controlled with submicrometer precision within live cells. We anticipate that the technique will be useful as a compact, simple method of generating localizable, subcellular chemical and mechanical signals, compatible with standard microscopy.


Nature Nanotechnology | 2017

Directed assembly of bio-inspired hierarchical materials with controlled nanofibrillar architectures

Peter Tseng; Bradley Napier; Siwei Zhao; Alexander N. Mitropoulos; Matthew B. Applegate; Benedetto Marelli; David L. Kaplan; Fiorenzo G. Omenetto

In natural systems, directed self-assembly of structural proteins produces complex, hierarchical materials that exhibit a unique combination of mechanical, chemical and transport properties. This controlled process covers dimensions ranging from the nano- to the macroscale. Such materials are desirable to synthesize integrated and adaptive materials and systems. We describe a bio-inspired process to generate hierarchically defined structures with multiscale morphology by using regenerated silk fibroin. The combination of protein self-assembly and microscale mechanical constraints is used to form oriented, porous nanofibrillar networks within predesigned macroscopic structures. This approach allows us to predefine the mechanical and physical properties of these materials, achieved by the definition of gradients in nano- to macroscale order. We fabricate centimetre-scale material geometries including anchors, cables, lattices and webs, as well as functional materials with structure-dependent strength and anisotropic thermal transport. Finally, multiple three-dimensional geometries and doped nanofibrillar constructs are presented to illustrate the facile integration of synthetic and natural additives to form functional, interactive, hierarchical networks.


Advanced Materials | 2014

Substrates with Patterned Extracellular Matrix and Subcellular Stiffness Gradients Reveal Local Biomechanical Responses

Peter Tseng; Dino Di Carlo

A substrate fabrication process is developed to pattern both the extracellular matrix (ECM) and rigidity at sub-cellular spatial resolution. When growing cells on these substrates, it is found that cells respond locally in their cytoskeleton assembly. The presented method allows unique insight into the biological interpretation of mechanical signals, whereas photolithography-based fabrication is amenable to integration with complex microfabricated substructures.


ACS Nano | 2015

Engineering cortical neuron polarity with nanomagnets on a chip.

Anja Kunze; Peter Tseng; Chanya Godzich; Coleman Murray; Anna Caputo; Felix E. Schweizer; Dino Di Carlo

Intra- and extracellular signaling play critical roles in cell polarity, ultimately leading to the development of functional cell-cell connections, tissues, and organs. In the brain, pathologically oriented neurons are often the cause for disordered circuits, severely impacting motor function, perception, and memory. Aside from control through gene expression and signaling pathways, it is known that nervous system development can be manipulated by mechanical stimuli (e.g., outgrowth of axons through externally applied forces). The inverse is true as well: intracellular molecular signals can be converted into forces to yield axonal outgrowth. The complete role played by mechanical signals in mediating single-cell polarity, however, remains currently unclear. Here we employ highly parallelized nanomagnets on a chip to exert local mechanical stimuli on cortical neurons, independently of the amount of superparamagnetic nanoparticles taken up by the cells. The chip-based approach was utilized to quantify the effect of nanoparticle-mediated forces on the intracellular cytoskeleton as visualized by the distribution of the microtubule-associated protein tau. While single cortical neurons prefer to assemble tau proteins following poly-L-lysine surface cues, an optimal force range of 4.5-70 pN by the nanomagnets initiated a tau distribution opposed to the pattern cue. In larger cell clusters (groups comprising six or more cells), nanoparticle-mediated forces induced tau repositioning in an observed range of 190-270 pN, and initiation of magnetic field-directed cell displacement was observed at forces above 300 pN. Our findings lay the groundwork for high-resolution mechanical encoding of neural networks in vitro, mechanically driven cell polarization in brain tissues, and neurotherapeutic approaches using functionalized superparamagnetic nanoparticles to potentially restore disordered neural circuits.


Small | 2016

Quantitative Magnetic Separation of Particles and Cells Using Gradient Magnetic Ratcheting

Coleman Murray; Edward Pao; Peter Tseng; Shayan Aftab; Rajan P. Kulkarni; Matthew Rettig; Dino Di Carlo

Extraction of rare target cells from biosamples is enabling for life science research. Traditional rare cell separation techniques, such as magnetic activated cell sorting, are robust but perform coarse, qualitative separations based on surface antigen expression. A quantitative magnetic separation technology is reported using high-force magnetic ratcheting over arrays of magnetically soft micropillars with gradient spacing, and the system is used to separate and concentrate magnetic beads based on iron oxide content (IOC) and cells based on surface expression. The system consists of a microchip of permalloy micropillar arrays with increasing lateral pitch and a mechatronic device to generate a cycling magnetic field. Particles with higher IOC separate and equilibrate along the miropillar array at larger pitches. A semi-analytical model is developed that predicts behavior for particles and cells. Using the system, LNCaP cells are separated based on the bound quantity of 1 μm anti-epithelial cell adhesion molecule (EpCAM) particles as a metric for expression. The ratcheting cytometry system is able to resolve a ±13 bound particle differential, successfully distinguishing LNCaP from PC3 populations based on EpCAM expression, correlating with flow cytometry analysis. As a proof-of-concept, EpCAM-labeled cells from patient blood are isolated with 74% purity, demonstrating potential toward a quantitative magnetic separation instrument.


PLOS ONE | 2014

Metallization and biopatterning on ultra-flexible substrates via dextran sacrificial layers.

Peter Tseng; Ivan Pushkarsky; Dino Di Carlo

Micro-patterning tools adopted from the semiconductor industry have mostly been optimized to pattern features onto rigid silicon and glass substrates, however, recently the need to pattern on soft substrates has been identified in simulating cellular environments or developing flexible biosensors. We present a simple method of introducing a variety of patterned materials and structures into ultra-flexible polydimethylsiloxane (PDMS) layers (elastic moduli down to 3 kPa) utilizing water-soluble dextran sacrificial thin films. Dextran films provided a stable template for photolithography, metal deposition, particle adsorption, and protein stamping. These materials and structures (including dextran itself) were then readily transferrable to an elastomer surface following PDMS (10 to 70∶1 base to crosslinker ratios) curing over the patterned dextran layer and after sacrificial etch of the dextran in water. We demonstrate that this simple and straightforward approach can controllably manipulate surface wetting and protein adsorption characteristics of PDMS, covalently link protein patterns for stable cell patterning, generate composite structures of epoxy or particles for study of cell mechanical response, and stably integrate certain metals with use of vinyl molecular adhesives. This method is compatible over the complete moduli range of PDMS, and potentially generalizable over a host of additional micro- and nano-structures and materials.


Advanced Materials | 2015

Flexible and Stretchable Micromagnet Arrays for Tunable Biointerfacing

Peter Tseng; Jonathan Lin; Keegan Owsley; Janay Kong; Anja Kunze; Coleman Murray; Dino Di Carlo

A process to surface pattern polydimethylsiloxane (PDMS) with ferromagnetic structures of varying sizes (micrometer to millimeter) and thicknesses (>70 μm) is developed. Their flexibility and magnetic reach are utilized to confer dynamic, additive properties to a variety of substrates, such as coverslips and Eppendorf tubes. It is found that these substrates can generate additional modes of magnetic droplet manipulation, and can tunably steer magnetic-cell organization.


Lab on a Chip | 2014

Research highlights: microfluidics and magnets

Ivan Pushkarsky; Peter Tseng; Coleman Murray; Dino Di Carlo

In this highlight we present a snapshot of recent work using magnetic forces and particles to perform lab on a chip operations. Magnetic micro- & nanoparticles have been widely used for separations in cell biology & clinical diagnostics and as solid phase supports for reactions and chemical assays. Microscale approaches to control and manipulate magnetic particles can enable new functionality; allowing parallel and complex automation of assays, manipulation of fluids themselves, and precise separations based on small differences in magnetic properties. Here we discuss recent work demonstrating advances in these three areas.

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Dino Di Carlo

University of California

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Coleman Murray

University of California

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Jack W. Judy

University of California

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Anja Kunze

University of California

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Jonathan Lin

University of California

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