Lihua Jin

University of California
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United States

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Articles (16)

Rate-dependent stress-order coupling in main-chain liquid crystal elastomers

This study reports rate-dependent measurements and relaxation of stress, director rotation, and shear strain in main-chain nematic LCEs subjected to uniaxial tension with various initial directors, which is further explained by an analytical model.

Year:

2023

Matrix Stiffness Influences Tubular Formation in Renal Tissue Engineering

Tubular structures contribute to essential organ functions. Therefore, controlling tubulogenesis is essential for bottom-up tissue engineering approaches. Tissue engineering strategies to form tubular structures utilize extracellular matrix (ECM) components and micropatterned molds. To improve the tubular formation rate, we studied the substrate stiffness’s influence on the tubulogenesis of murine inner medullary collecting duct (mIMCD) cells. mIMCD cells were seeded in micropatterned molds with different compositions of polydimethylsiloxane (PDMS) (1:5, 1:10, 1:15, 1:20, 1:30) and agarose (1%, 2%, 3% 5%). We established the Young’s modulus of the PDMS and agarose substrates and determined the ideal substrate stiffness for tube formation to be between 277 kPa and 2610 kPa. Within our parameters, optimal tube formation was observed at 439.9 kPa, a value similar to the Young’s Modulus found in the basement membrane of the murine renal tubular compartment. We also found that different substrate concentrations of agarose or PDMS are associated with different expression levels of the apical polarization marker Zonula occludens 1 (ZO-1) in the generated tubular structures. In addition to the substrate stiffness, we observed that the tube formation differed based on the substrate material, with agarose showing a generally greater tube formation rate. While previous research demonstrated that ECM stiffness influences cellular behavior towards tube formation, our results suggest that the stiffness of the substrate influences tubular formation independently of the ECM.

Year:

2023

Collaborators (3)

Peter V. Hauser

University of California, Los Angeles

UNITED STATES

Jin Young Oh

-

SOUTH KOREA

Jeffrey B.-H. Tok

Stanford University

UNITED STATES
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