Ngoc Nhi Le
Wisconsin Alumni Research Foundation
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Publication
Featured researches published by Ngoc Nhi Le.
Biomaterials Science | 2014
Tyler D. Hansen; Justin T. Koepsel; Ngoc Nhi Le; Eric H. Nguyen; Stefan Zorn; Matthew Parlato; Samuel G. Loveland; Michael P. Schwartz; William L. Murphy
Here, we aimed to investigate migration of a model tumor cell line (HT-1080 fibrosarcoma cells, HT-1080s) using synthetic biomaterials to systematically vary peptide ligand density and substrate stiffness. A range of substrate elastic moduli were investigated by using poly(ethylene glycol) (PEG) hydrogel arrays (0.34 - 17 kPa) and self-assembled monolayer (SAM) arrays (~0.1-1 GPa), while cell adhesion was tuned by varying the presentation of Arg-Gly-Asp (RGD)-containing peptides. HT-1080 motility was insensitive to cell adhesion ligand density on RGD-SAMs, as they migrated with similar speed and directionality for a wide range of RGD densities (0.2-5% mol fraction RGD). Similarly, HT-1080 migration speed was weakly dependent on adhesion on 0.34 kPa PEG surfaces. On 13 kPa surfaces, a sharp initial increase in cell speed was observed at low RGD concentration, with no further changes observed as RGD concentration was increased further. An increase in cell speed ~ two-fold for the 13 kPa relative to the 0.34 kPa PEG surface suggested an important role for substrate stiffness in mediating motility, which was confirmed for HT-1080s migrating on variable modulus PEG hydrogels with constant RGD concentration. Notably, despite ~ two-fold changes in cell speed over a wide range of moduli, HT-1080s adopted rounded morphologies on all surfaces investigated, which contrasted with well spread primary human mesenchymal stem cells (hMSCs). Taken together, our results demonstrate that HT-1080s are morphologically distinct from primary mesenchymal cells (hMSCs) and migrate with minimal dependence on cell adhesion for surfaces within a wide range of moduli, whereas motility is strongly influenced by matrix mechanical properties.
Acta Biomaterialia | 2016
Ngoc Nhi Le; Stefan Zorn; Samantha K. Schmitt; Padma Gopalan; William L. Murphy
UNLABELLED Here, we have developed a novel method for forming hydrogel arrays using surfaces patterned with differential wettability. Our method for benchtop array formation is suitable for enhanced-throughput, combinatorial screening of biochemical and biophysical cues from chemically defined cell culture substrates. We demonstrated the ability to generate these arrays without the need for liquid handling systems and screened the combinatorial effects of substrate stiffness and immobilized cell adhesion peptide concentration on human mesenchymal stem cell (hMSC) behavior during short-term 2-dimensional cell culture. Regardless of substrate stiffness, hMSC initial cell attachment, spreading, and proliferation were linearly correlated with immobilized CRGDS peptide concentration. Increasing substrate stiffness also resulted in increased hMSC initial cell attachment, spreading, and proliferation; however, examination of the combinatorial effects of CRGDS peptide concentration and substrate stiffness revealed potential interplay between these distinct substrate signals. Maximal hMSC proliferation seen on substrates with either high stiffness or high CRGDS peptide concentration suggests that some baseline level of cytoskeletal tension was required for hMSC proliferation on hydrogel substrates and that multiple substrate signals could be engineered to work in synergy to promote mechanosensing and regulate cell behavior. STATEMENT OF SIGNIFICANCE Our novel array formation method using surfaces patterned with differential wettability offers the advantages of benchtop array formation for 2-dimensional cell cultures and enhanced-throughput screening without the need for liquid handling systems. Hydrogel arrays formed via our method are suitable for screening the influence of chemical (e.g. cell adhesive ligands) and physical (stiffness, size, shape, and thickness) substrate properties on stem cell behavior. The arrays are also fully compatible with commercially available micro-array add-on systems, which allows for simultaneous control of the insoluble and soluble cell culture environment. This study used hydrogel arrays to demonstrate that synergy between cell adhesion and mechanosensing can be used to regulate hMSC behavior.
Integrative Biology | 2012
Justin T. Koepsel; Samuel G. Loveland; Michael P. Schwartz; Stefan Zorn; David G. Belair; Ngoc Nhi Le; William L. Murphy
Chemically defined substrates, which rigorously control protein-surface and cell-surface interactions, can be used to probe the effects of specific biomolecules on cell behavior. Here we combined a chemically-defined, array-based format with automated, time-lapse microscopy to efficiently screen cell-substrate interactions. Self-assembled monolayers (SAMs) of alkanethiolates bearing oligo(ethylene glycol) units and reactive terminal groups were used to present cell adhesion peptides while minimizing non-specific protein interactions. Specifically, we describe rapid fabrication of arrays of 1 mm spots, which present varied densities of the integrin-binding ligand Gly-Arg-Gly-Asp-Ser-Pro (GRGDSP). Results indicate that cell attachment, cell spreading, and proliferation exhibit strong dependencies on GRGDSP density for both human mesenchymal stem cells (hMSCs) and human umbilical vein endothelial cells (HUVECs). Furthermore, relative spreading and proliferation over a broad range of GRGDSP densities were similar for both primary cell types, and detailed comparison between cell behaviors identified a 1 : 1 correlation between spreading and proliferation for both HUVECs and hMSCs. Finally, time-lapse microscopy of SAM arrays revealed distinct adhesion-dependent migratory behaviors for HUVECs and hMSCs. These results demonstrate the benefits of using an array-based screening platform for investigating cell function. While the proof-of-concept focuses on simple cellular properties, the quantitative similarities observed for hMSCs and HUVECs provides a direct example of how phenomena that would not easily be predicted can be shown to correlate between different cell types.
Nature Biomedical Engineering | 2017
Eric H. Nguyen; William T. Daly; Ngoc Nhi Le; Mitra Farnoodian; David G. Belair; Michael P. Schwartz; Connie S. Lebakken; Gene E. Ananiev; Mohammad Ali Saghiri; Thomas B. Knudsen; Nader Sheibani; William L. Murphy
The physiological relevance of Matrigel as a cell-culture substrate and in angiogenesis assays is often called into question. Here, we describe an array-based method for the identification of synthetic hydrogels that promote the formation of robust in vitro vascular networks for the detection of putative vascular disruptors, and that support human embryonic stem cell expansion and pluripotency. We identified hydrogel substrates that promoted endothelial-network formation by primary human umbilical vein endothelial cells and by endothelial cells derived from human induced pluripotent stem cells, and used the hydrogels with endothelial networks to identify angiogenesis inhibitors. The synthetic hydrogels show superior sensitivity and reproducibility over Matrigel when evaluating known inhibitors, as well as in a blinded screen of a subset of 38 chemicals, selected according to predicted vascular disruption potential, from the Toxicity ForeCaster library of the US Environmental Protection Agency. The identified synthetic hydrogels should be suitable alternatives to Matrigel for common cell-culture applications.
Chemical Communications | 2014
David G. Belair; Ngoc Nhi Le; William L. Murphy
Archive | 2015
William L. Murphy; Matthew Parlato; James A. Molenda; Ngoc Nhi Le
Archive | 2015
William L. Murphy; Ngoc Nhi Le; Michael P. Schwartz; Eric H. Nguyen; Stefan Zorn; Hamisha Ardalani; Matthew R. Zanotelli; Matthew Parlato; David G. Belair; William T. Daly
Archive | 2015
William L. Murphy; Ngoc Nhi Le; Stefan Zorn; Michael P. Schwartz; Eric H. Nguyen
Archive | 2017
David G. Belair; Ngoc Nhi Le; Michael W. Toepke; Nicholas Impellitteri; Connie S. Chamberlain; William L. Murphy
Biomaterials Science | 2016
David G. Belair; Ngoc Nhi Le; William L. Murphy