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Dive into the research topics where Lauren E. Jansen is active.

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Featured researches published by Lauren E. Jansen.


Journal of The Mechanical Behavior of Biomedical Materials | 2015

Mechanics of intact bone marrow.

Lauren E. Jansen; Nathan P. Birch; Jessica D. Schiffman; Alfred J. Crosby; Shelly R. Peyton

The current knowledge of bone marrow mechanics is limited to its viscous properties, neglecting the elastic contribution of the extracellular matrix. To get a more complete view of the mechanics of marrow, we characterized intact yellow porcine bone marrow using three different, but complementary techniques: rheology, indentation, and cavitation. Our analysis shows that bone marrow is elastic, and has a large amount of intra- and inter-sample heterogeneity, with an effective Young׳s modulus ranging from 0.25 to 24.7 kPa at physiological temperature. Each testing method was consistent across matched tissue samples, and each provided unique benefits depending on user needs. We recommend bulk rheology to capture the effects of temperature on tissue elasticity and moduli, indentation for quantifying local tissue heterogeneity, and cavitation rheology for mitigating destructive sample preparation. We anticipate the knowledge of bone marrow elastic properties for building in vitro models will elucidate mechanisms involved in disease progression and regenerative medicine.


Acta Biomaterialia | 2018

Control of thiol-maleimide reaction kinetics in PEG hydrogel networks

Lauren E. Jansen; Lenny J. Negrón-Piñeiro; Sualyneth Galarza; Shelly R. Peyton

Michael-type addition reactions are widely used to polymerize biocompatible hydrogels. The thiol-maleimide modality achieves the highest macromer coupling efficiency of the reported Michael-type pairs, but the resulting hydrogel networks are heterogeneous because polymerization is faster than the individual components can be manually mixed. The reactivity of the thiol dictates the overall reaction speed, which can be slowed in organic solvents and acidic buffers. Since these modifications also reduce the biocompatibility of resulting hydrogels, we investigated a series of biocompatible buffers and crosslinkers to decelerate gelation while maintaining high cell viability. We found that lowering the polymer weight percentage (wt%), buffer concentration, and pH slowed gelation kinetics, but crosslinking with an electronegative peptide was optimal for both kinetics and cell viability. Including a high glucose medium supplement in the polymer solvent buffer improved the viability of the cells being encapsulated without impacting gelation time. Slowing the speed of polymerization resulted in more uniform hydrogels, both in terms of visual inspection and the diffusion of small molecules through the network. However, reactions that were too slow resulted in non-uniform particle dispersion due to settling, thus there is a trade-off in hydrogel network uniformity versus cell distribution in the hydrogels when using these networks in cell applications. STATEMENT OF SIGNIFICANCE The polymer network of thiol-maleimide hydrogels assembles faster than individual components can be uniformly mixed due to their fast gelation kinetics. The lack of homogeneity can result in variable cell-based assay results, resulting in batch-to-batch variability and limiting their use in predictive screening assays. Although these hydrogels are incredibly useful in tissue engineering, this network heterogeneity is a known problem in the field. We screened a variety of possible techniques to slow down the reaction speed and improve the homogeneity of these hydrogels, without sacrificing the viability and distribution of encapsulated cells. As others have reported, an electronegative crosslinker was the most effective technique to slow the reaction, but the chemical modification required is technically challenging. Of interest to a broad community, we screened buffer type, strength, and crosslinker electronegativity to find an optimal reaction speed that allows for high cell viability and small molecule diffusion, without allowing cells to settle during gelation, allowing application of these materials to the drug screening industry and tissue engineering community.


bioRxiv | 2018

A synthetic, three-dimensional bone marrow hydrogel

Lauren E. Jansen; Thomas J. McCarthy; Michael J. Lee; Shelly R. Peyton

Three-dimensional (3D) synthetic hydrogels have recently emerged as desirable in vitro cell culture platforms capable of representing the extracellular geometry, elasticity, and water content of tissue in a tunable fashion. However, they are critically limited in their biological functionality. Hydrogels are typically decorated with a scant 1-3 peptide moieties to direct cell behavior, which vastly underrepresents the proteins found in the extracellular matrix (ECM) of real tissues. Further, peptides chosen are ubiquitous in ECM, and are not derived from specific proteins. We developed an approach to incorporate the protein complexity of specific tissues into the design of biomaterials, and created a hydrogel with the elasticity of marrow, and 20 marrow-specific cell-instructive peptides. Compared to generic PEG hydrogels, our marrow-inspired hydrogel improves stem cell differentiation and proliferation. We propose this tissue-centric approach as the next generation of 3D hydrogel design for applications in tissue engineering.


Biomacromolecules | 2018

Zwitterionic PEG-PC Hydrogels Modulate the Foreign Body Response in a Modulus-Dependent Manner

Lauren E. Jansen; Luke D. Amer; Esther Y. Chen; Thuy V. Nguyen; Leila S. Saleh; Todd Emrick; Wendy F. Liu; Stephanie J. Bryant; Shelly R. Peyton

Reducing the foreign body response (FBR) to implanted biomaterials will enhance their performance in tissue engineering. Poly(ethylene glycol) (PEG) hydrogels are increasingly popular for this application due to their low cost, ease of use, and the ability to tune their compliance via molecular weight and cross-linking densities. PEG hydrogels can elicit chronic inflammation in vivo, but recent evidence has suggested that extremely hydrophilic, zwitterionic materials and particles can evade the immune system. To combine the advantages of PEG-based hydrogels with the hydrophilicity of zwitterions, we synthesized hydrogels with comonomers PEG and the zwitterion phosphorylcholine (PC). Recent evidence suggests that stiff hydrogels elicit increased immune cell adhesion to hydrogels, which we attempted to reduce by increasing hydrogel hydrophilicity. Surprisingly, hydrogels with the highest amount of zwitterionic comonomer elicited the highest FBR. Lowering the hydrogel modulus (165 to 3 kPa), or PC content (20 to 0 wt %), mitigated this effect. A high density of macrophages was found at the surface of implants associated with a high FBR, and mass spectrometry analysis of the proteins adsorbed to these gels implicated extracellular matrix, immune response, and cell adhesion protein categories as drivers of macrophage recruitment. Overall, we show that modulus regulates macrophage adhesion to zwitterionic-PEG hydrogels, and demonstrate that chemical modifications to hydrogels should be studied in parallel with their physical properties to optimize implant design.


APL Bioengineering | 2018

Anomalously Diffusing and Persistently Migrating Cells in 2D and 3D Culture Environments

Igor D. Luzhansky; Alyssa D. Schwartz; Joshua D. Cohen; John P. MacMunn; Lauren E. Barney; Lauren E. Jansen; Shelly R. Peyton

Appropriately chosen descriptive models of cell migration in biomaterials will allow researchers to characterize and ultimately predict the movement of cells in engineered systems for a variety of applications in tissue engineering. The persistent random walk (PRW) model accurately describes cell migration on two-dimensional (2D) substrates. However, this model inherently cannot describe subdiffusive cell movement, i.e., migration paths in which the root mean square displacement increases more slowly than the square root of the time interval. Subdiffusivity is a common characteristic of cells moving in confined environments, such as three-dimensional (3D) porous scaffolds, hydrogel networks, and in vivo tissues. We demonstrate that a generalized anomalous diffusion (AD) model, which uses a simple power law to relate the mean square displacement to time, more accurately captures individual cell migration paths across a range of engineered 2D and 3D environments than does the more commonly used PRW model. We used the AD model parameters to distinguish cell movement profiles on substrates with different chemokinetic factors, geometries (2D vs 3D), substrate adhesivities, and compliances. Although the two models performed with equal precision for superdiffusive cells, we suggest a simple AD model, in lieu of PRW, to describe cell trajectories in populations with a significant subdiffusive fraction, such as cells in confined, 3D environments.


bioRxiv | 2017

Complementary, High-throughput Methods for Creating Multi-dimensional, PEG-based Biomaterials

Elizabeth A. Brooks; Lauren E. Jansen; Maria F. Gencoglu; Annali M. Yurkevicz; Shelly R. Peyton

Tunable biomaterials that mimic selected features of the extracellular matrix (ECM), such as its stiffness, protein composition, and dimensionality, are increasingly popular for studying how cells sense and respond to ECM cues. In the field, there exists a significant trade-off for how complex and how well these biomaterials represent the in vivo microenvironment, versus how easy they are to make and how adaptable they are to high-throughput fabrication techniques. To address this need to integrate more complex biomaterials design with high-throughput screening approaches, we present several methods to fabricate synthetic biomaterials in 96-well plates and demonstrate that they can be adapted to existing liquid handling robotics. These platforms include 1) glass bottom plates with covalently attached ECM proteins, and 2) hydrogels with tunable stiffness and protein composition with either cells seeded on the surface, or 3) laden within the three-dimensional hydrogel matrix. This study includes proof-of-concept results demonstrating control over breast cancer cell line phenotypes via these ECM cues in a high-throughput fashion. We foresee the use of these methods as a mechanism to bridge the gap between high-throughput cell-matrix screening and engineered ECM-mimicking biomaterials.


bioRxiv | 2017

Anomalous Diffusion as a Descriptive Model of Cell Migration

Igor D Luzhanskey; John P. MacMunn; Joshua D. Cohen; Lauren E. Barney; Lauren E. Jansen; Alyssa D. Schwartz; Shelly R. Peyton

Appropriately chosen descriptive models of cell migration in biomaterials will allow researchers to characterize and ultimately predict the movement of cells in engineered systems for a variety of applications in tissue engineering. The persistent random walk (PRW) model accurately describes cell migration on two-dimensional (2D) substrates. However, this model inherently cannot describe subdiffusive cell movement, i.e. migration paths in which the root mean square displacement increases more slowly than the square root of the time interval. Subdiffusivity is a common characteristic of cells moving in confined environments, such as three-dimensional (3D) porous scaffolds, hydrogel networks, and in vivo tissues. We demonstrate that a generalized anomalous diffusion (AD) model, which uses a simple power law to relate the mean square displacement (MSD) to time, more accurately captures individual cell migration paths across a range of engineered 2D and 3D environments than does the more commonly used PRW model. We used the AD model parameters to distinguish cell movement profiles on substrates with different chemokinetic factors, geometries (2D vs 3D), substrate adhesivities, and compliances. Although the two models performed with equal precision for superdiffusive cells, we suggest a simple AD model, in lieu of PRW, to describe cell trajectories in populations with a significant subdiffusive fraction, such as cells in confined, 3D environments.


Integrative Biology | 2015

A cell–ECM screening method to predict breast cancer metastasis

Lauren E. Barney; E. C. Dandley; Lauren E. Jansen; Nicholas G. Reich; Arthur M. Mercurio; Shelly R. Peyton


Current opinion in chemical engineering | 2016

The Predictive Link between Matrix and Metastasis.

Lauren E. Barney; Lauren E. Jansen; S. R. Polio; Sualyneth Galarza; Maureen E. Lynch; Shelly R. Peyton


Integrative Biology | 2017

A biomaterial screening approach reveals microenvironmental mechanisms of drug resistance

Alyssa D. Schwartz; Lauren E. Barney; Lauren E. Jansen; Thuy V. Nguyen; Christopher L. Hall; Aaron S. Meyer; Shelly R. Peyton

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Shelly R. Peyton

University of Massachusetts Amherst

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Lauren E. Barney

University of Massachusetts Amherst

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Alyssa D. Schwartz

University of Massachusetts Amherst

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Annali M. Yurkevicz

University of Massachusetts Amherst

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Elizabeth A. Brooks

University of Massachusetts Amherst

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John P. MacMunn

University of Massachusetts Amherst

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Maria F. Gencoglu

University of Massachusetts Amherst

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Sualyneth Galarza

University of Massachusetts Amherst

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Thuy V. Nguyen

University of Massachusetts Amherst

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