Biology subjects

Yim, D.

Publications and source records attributed to Yim, D..

6 recordsLinked to original sources

bioRxiv2026

Mechanical Checkpoint for Cell Division in Three-Dimensional Microenvironments

Cell division within mechanically confining extracellular matrices (ECMs) is a key regulator of tissue morphogenesis and cancer progression. Although the intracellular force-generation mechanisms that drive volumetric growth and mitotic elongation are well characterized, how ECMs resist these forces remains poorly understood. Unlike linearly elastic materials, fibrillar ECMs exhibit nonlinear and viscoelastic behaviors that fundamentally alter how they oppose cell-generated stresses. Using a fiber-level computational model, we dissected the origins of ECM-mediated mechanical confinement during mitosis. We identified three distinct modes of resistance: compressive resistance at the cell poles, shear resistance from a pericellular shell, and tensile resistance at the cell equator. The relative contributions of these modes depended on fiber architecture and connectivity; however, shear resistance from the pericellular shell--pre-tensed by volumetric growth during G1--consistently dominated as the primary mechanical barrier to mitotic elongation. These findings suggest that the pericellular shell functions as a natural mechanical checkpoint on cell division within collagen-rich microenvironments. Notably, a finite element continuum model, despite being the most widely used framework for tissue mechanics, failed to reproduce these behaviors, underscoring the necessity of fiber-resolution approaches. We propose that overcoming this mechanical checkpoint is a critical step in cancer progression, enabling cells to divide within the dense stromal matrices characteristic of metastatic tumors.

biophysics↗

bioRxiv2026

Durotactic Migration Driven by Anisotropic Matrix Stiffening and Mechanical Feedback

Cell migration is fundamental to various biological processes, including morphogenesis, wound healing, and cancer metastasis. Durotaxis--directed migration of cells in response to spatial variations in stiffness--has been extensively studied using engineered substrates with prescribed stiffness. However, recent work has increasingly shifted toward understanding cell migration in fibrous matrices that can be actively remodeled by the actomyosin contractility, as commonly observed in tumor and epithelial cells. Despite these advances, a theoretical framework explaining how cells structurally remodel their surrounding matrix to promote their own durotaxis, and which cellular forces govern this behavior, remains elusive. To address this gap, we developed a biomechanical model in which polarized cells contract and migrate over a fibrous matrix. Using this model, we first confirmed that cells on an externally strained matrix preferentially migrate along the direction of applied strain. Then, we investigated how cells autonomously remodel the matrix to create stiffness patterns favorable for durotaxis. In the presence of intercellular adhesion, cells acted collectively to stiffen the matrix, after which a small subset of cells escaped the main population and migrated outward. This behavior is reminiscent of intravasation during cancer metastasis, where cohesive cell clusters generate local matrix remodeling that facilitates the departure of more motile subpopulations. These results illustrate how matrix stiffening driven by cell cohesion and contractility regulates durotactic behavior and provide mechanistic insight into collective invasion processes relevant to cancer metastasis.

biophysics↗

bioRxiv2025

Computational Modeling of Motor-Driven Extension of Microtubule Bundles in Axons

In addition to actin assembly at the growth cone, neuronal axons elongate via interactions between microtubules and microtubule-associated proteins including dynein motor proteins and cross-linking proteins. Dynein translocates microtubules toward the growth cone to exert extensile forces for axonal outgrowth. During this process, microtubules are most likely to experience compressive loads, which can result in bending deformation on microtubules called buckling. Such buckled microtubules are impaired in their ability to bear compressive forces and may not contribute significantly to axonal outgrowth. If microtubules are interconnected by cross-linking proteins, they are less likely to be buckled and thus able to resist larger compressive loads. Despite the importance of the buckling and connectivity of microtubules, their effects on the axonal outgrowth have not been investigated to date. In this study, using an agent-based computational model, we created a microtubule bundle to simulate the microtubule system in axons. This bundle increased its length by interactions between dynein-like motors and microtubules against a mechanical load. We found that intermediate cross-linking density resulted in maximal elongation of the bundle, because microtubules were easily buckled at low cross-linking density, whereas the displacement of microtubules was inhibited at high cross-linking density. When individual microtubules were much stiffer, the bundle showed higher elongation even with lower cross-linking density, since stiff microtubules were less likely to be buckled by compressive loads. Our study provides new insights into the mechanisms driving axonal outgrowth.

biophysics↗

bioRxiv2023

Covalent Attachment of Horseradish Peroxidase to Single-Walled Carbon Nanotubes for Hydrogen Peroxide Detection

Single-walled carbon nanotubes (SWCNTs) are desirable nanoparticles for sensing biological analytes due to their photostability and intrinsic near-infrared fluorescence. Previous strategies for generating SWCNT nanosensors have leveraged nonspecific adsorption of sensing modalities to the hydrophobic SWCNT surface that often require engineering new molecular recognition elements. An attractive alternate strategy is to leverage pre-existing molecular recognition of proteins for analyte specificity, yet attaching proteins to SWCNT for nanosensor generation remains challenging. Towards this end, we introduce a generalizable platform to generate protein-SWCNT-based optical sensors and use this strategy to synthesize a hydrogen peroxide (H2O2) nanosensor by covalently attaching horseradish peroxidase (HRP) to the SWCNT surface. We demonstrate a concentration-dependent response to H2O2, confirm the nanosensor can image H2O2 in real-time, and assess the nanosensors selectivity for H2O2 against a panel of biologically relevant analytes. Taken together, these results demonstrate successful covalent attachment of enzymes to SWCNTs while preserving both intrinsic SWCNT fluorescence and enzyme function. We anticipate this platform can be adapted to covalently attach other proteins of interest including other enzymes for sensing or antibodies for targeted imaging and cargo delivery.

bioengineering↗

bioRxiv2019

Sequencing-based quantitative mapping of the cellular small RNA landscape

Current next-generation RNA sequencing methods cannot provide accurate quantification of the population of small RNAs within a sample due to strong sequence-dependent biases in capture, ligation, and amplification during library preparation. We report the development of an RNA sequencing method - AQRNA-seq - that minimizes biases and enables absolute quantification of all small RNA species in a sample mixture. Validation of AQRNA-seq library preparation and data mining algorithms using a 963-member microRNA reference library, RNA oligonucleotide standards of varying lengths, and northern blots demonstrated a direct, linear correlation between sequencing read count and RNA abundance. Application of AQRNA-seq to bacterial tRNA pools, a traditionally hard-to-sequence class of RNAs, revealed 80-fold variation in tRNA isoacceptor copy numbers, patterns of site-specific tRNA fragmentation caused by stress, and quantitative maps of ribonucleoside modifications, all in a single AQRNA-seq experiment. AQRNA-seq thus provides a means to quantitatively map the small RNA landscape in cells and tissues.

molecular biology↗

bioRxiv2017

Dynamic expression of tRNA-derived small RNAs define cellular states

Transfer RNA (tRNA)-derived small RNAs (tsRNAs) have recently emerged as important regulators of protein translation and shown to have diverse biological functions. However, the underlying cellular and molecular mechanisms of tsRNA function in the context of dynamic cell-state transitions remain unclear. Here we report the identification of a set of tsRNAs upregulated in differentiating mouse embryonic stem cells (mESCs). Mechanistic analyses revealed primary functions of tsRNAs in regulating polysome assembly and translation. Notably, interactome studies with differentially-enriched tsRNAs revealed a switch in associations with effector RNPs and target mRNAs in different cell-states. We also demonstrate that a specific pool of tsRNAs can interact with Igf2bp1, an RNA-binding protein, to influence the expression of the pluripotency-promoting factor-c-Myc, thereby providing evidence for tsRNAs in modulating stem cell-states in mESCs. Finally, tsRNA expression analyses in distinct, heterologous cell and tissue models of stem/transformed versus differentiated/normal states reveal that tsRNA-mediated regulation of protein translation may represent a global biological phenomenon associated with cell-state transitions.\n\nOne Sentence SummaryIdentification and functional characterization of tRNA-derived small RNAs (tsRNAs) in cell state switches.

molecular biology↗