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Dive into the research topics where Kevin R. Pilkiewicz is active.

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Featured researches published by Kevin R. Pilkiewicz.


Biophysical Journal | 2015

DNA Motion Capture Reveals the Mechanical Properties of DNA at the Mesoscale

Allen C. Price; Kevin R. Pilkiewicz; Thomas G.W. Graham; Dan Song; Joel D. Eaves; Joseph J. Loparo

Single-molecule studies probing the end-to-end extension of long DNAs have established that the mechanical properties of DNA are well described by a wormlike chain force law, a polymer model where persistence length is the only adjustable parameter. We present a DNA motion-capture technique in which DNA molecules are labeled with fluorescent quantum dots at specific sites along the DNA contour and their positions are imaged. Tracking these positions in time allows us to characterize how segments within a long DNA are extended by flow and how fluctuations within the molecule are correlated. Utilizing a linear response theory of small fluctuations, we extract elastic forces for the different, ∼2-μm-long segments along the DNA backbone. We find that the average force-extension behavior of the segments can be well described by a wormlike chain force law with an anomalously small persistence length.


Colloids and Surfaces B: Biointerfaces | 2018

Genetically tunable M13 phage films utilizing evaporating droplets

Erik M. Alberts; Chris Warner; Eftihia Barnes; Kevin R. Pilkiewicz; Edward J. Perkins; Aimee R. Poda

This effort utilizes a genetically tunable system of bacteriophage to evaluate the effect of charge, temperature and particle concentration on biomaterial synthesis utilizing the coffee ring (CR) effect. There was a 1.6-3 fold suppression of the CR at higher temperatures while maintaining self-assembled structures of thin films. This suppression was observed in phage with charged and uncharged surface chemistry, which formed ordered and disordered assemblies respectively, indicating CR suppression is not dependent on short-range ordering or surface chemistry. Analysis of the drying process suggests weakened capillary flow at elevated temperatures caused CR suppression and could be further enhanced for controlled assembly for advanced biomaterials.


AIP Advances | 2018

Benchmarking the communication fidelity of biomolecular signaling cascades featuring pseudo-one-dimensional transport

Pratip Rana; Kevin R. Pilkiewicz; Michael L. Mayo; Preetam Ghosh

Synthetic biologists endeavor to predict how the increasing complexity of multi-step signaling cascades impacts the fidelity of molecular signaling, whereby information about the cellular state is often transmitted with proteins that diffuse by a pseudo-one-dimensional stochastic process. This begs the question of how the cell leverages passive transport mechanisms to distinguish informative signals from the intrinsic noise of diffusion. We address this problem by using a one-dimensional drift-diffusion model to derive an approximate lower bound on the degree of facilitation needed to achieve single-bit informational efficiency in signaling cascades as a function of their length. Within the assumptions of our model, we find that a universal curve of the Shannon-Hartley form describes the information transmitted by a signaling chain of arbitrary length and depends upon only a small number of physically measurable parameters. This enables our model to be used in conjunction with experimental measurements to aid in the selective design of biomolecular systems that can overcome noise to function reliably, even at the single-cell level.Synthetic biologists endeavor to predict how the increasing complexity of multi-step signaling cascades impacts the fidelity of molecular signaling, whereby information about the cellular state is often transmitted with proteins that diffuse by a pseudo-one-dimensional stochastic process. This begs the question of how the cell leverages passive transport mechanisms to distinguish informative signals from the intrinsic noise of diffusion. We address this problem by using a one-dimensional drift-diffusion model to derive an approximate lower bound on the degree of facilitation needed to achieve single-bit informational efficiency in signaling cascades as a function of their length. Within the assumptions of our model, we find that a universal curve of the Shannon-Hartley form describes the information transmitted by a signaling chain of arbitrary length and depends upon only a small number of physically measurable parameters. This enables our model to be used in conjunction with experimental measurements to...


Physical Review E | 2014

Flocking with minimal cooperativity: the panic model.

Kevin R. Pilkiewicz; Joel D. Eaves


Soft Matter | 2014

Reentrance in an active glass mixture

Kevin R. Pilkiewicz; Joel D. Eaves


Physical Review E | 2016

Fluctuation sensitivity of a transcriptional signaling cascade.

Kevin R. Pilkiewicz; Michael L. Mayo


EAI Endorsed Transactions on Wireless Spectrum | 2016

Capacity estimates of additive inverse Gaussian molecular channels with relay characteristics

Pratip Rana; Preetam Ghosh; Kevin R. Pilkiewicz; Edward J. Perkins; Chris Warner; Michael L. Mayo


EAI Endorsed Transactions on Serious Games | 2016

Multiscale Modeling of Information Conveyed by Gene-Regulatory Signaling

Michael L. Mayo; Kevin R. Pilkiewicz


BICT | 2015

Capacity estimates of additive inverse Gaussian molecular channels with relay characteristics.

Pratip Rana; Preetam Ghosh; Kevin R. Pilkiewicz; Edward J. Perkins; Chris Warner; Michael L. Mayo


BICT | 2015

Multiscale Modeling of Information Conveyed by Gene-Regulatory Signaling.

Michael L. Mayo; Kevin R. Pilkiewicz

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Michael L. Mayo

Engineer Research and Development Center

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Joel D. Eaves

University of Colorado Boulder

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Chris Warner

Engineer Research and Development Center

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Edward J. Perkins

Engineer Research and Development Center

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Pratip Rana

Virginia Commonwealth University

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Preetam Ghosh

Virginia Commonwealth University

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Aimee R. Poda

Engineer Research and Development Center

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Eftihia Barnes

Engineer Research and Development Center

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