Integrative Biology

Anti-angiogenic cancer therapies attempt to withhold necessary nutrients and oxygen from growing tumors by targeting the major promoters of endothelial cell (EC) angiogenesis: vascular endothelial growth factor (VEGF) and VEGF receptor 2 (VEGFR-2). Unfortunately, these treatments are often insufficient, even when coupled with chemotherapies, and fail to significantly increase survival rates. The tumor microenvironment (TME) is mechanically distinct compared to normal tissue, including increased matrix deformations or strains caused by cancer-associated fibroblasts (CAFs). In this report, we detail the specific and independent roles of two tyrosine residues, Y1054 and Y1214, on mechanical activation of VEGFR-2. Furthermore, we characterize CAF biochemical and mechanical signaling and demonstrate how ECs exhibit decreased vessel growth when co-cultured with CAFs and treated with a contractility inhibitor. Using non-phosphorylatable VEGFR-2 mutants, we reveal Y1054 and Y1214 are each necessary for EC angiogenesis, particularly in response to strain. Overall, this research highlights the need to study how mechanics in the TME promote vessel growth and thus tumor progression, which is important to consider when developing future anti-angiogenic therapies.

Tumors consist of heterogeneous phenotypic cells, such as normoxic cells, which are highly proliferative, and hypoxic cells, which are less proliferative. Their phenotypic switching depends on tumor microenvironmental factors, such as oxygen and nutrient concentrations supplied by local blood vessels. However, during ongoing angiogenesis, the process of sprouting new blood vessels at the tumor site from pre-existing blood vessels, and how this phenotypic switching affects and impacts tumor growth, remains poorly understood. In this article, we formulate a mathematical model to elucidate the crosstalk between vasculature and tumor cellular heterogeneity during tumor progression. The model results show a strong agreement with the experimental data. Our simulation results demonstrate that ongoing angiogenesis increases tumor growth rate. In addition, we observe that the influence of hypoxic cells on phenotypic switching from normoxic to hypoxic is more pronounced than their influence on the transition from hypoxic to normoxic. Furthermore, we perform a global sensitivity analysis using the Sobol's method to assess the importance of the model's parameters. It highlights that the volume at which blood vessels attain half-maximal rate has the maximum effect on the model.

During tumor growth and progression, cancer cells are exposed to sustained physical confinement and volumetric compression that can alter cell volume, cytoskeletal organization, mechanotransduction, and invasive behavior. However, whether breast cancer cells retain a compression-induced mechanical memory after release from sustained volumetric compression, and how this memory influences subsequent migration and invasion, remains poorly understood. Here, by controlling cell volume using PEG - mediated volumetric compression, we investigated the compression and post-compression recovery responses of MCF-7 breast cancer cells. Cells were compressed for four days, followed by four days of recovery after PEG removal, and analyzed using daily morphological tracking, single-cell time-lapse imaging, F-actin and YAP staining, wound healing assays, and 3D spheroid invasion assays. We show that sustained volumetric compression shifts MCF-7 cells into a compact, jammed-like, low-motility state characterized by reduced morphodynamic remodeling, suppressed collective migration, and limited spheroid invasion. In contrast, post-compression recovery induces a distinct mechanobiological state marked by increased cell area and perimeter, altered single-cell trajectories, heterogeneous F-actin remodeling, enhanced YAP nuclear localization in enlarged recovered cells, accelerated wound closure, and increased spheroid invasion and cell dissemination. These findings suggest that prior volumetric compression can prime breast cancer cells for enhanced migration and invasion after stress release, supporting post-compression recovery as a form of mechanical memory that may contribute to tumor dissemination.

Solid tumors are often surrounded by abnormal vasculature and a dense collagen-rich extracellular matrix that severely restrict the infiltration of T cells, including tumor-infiltrating lymphocytes (TILs) and chimeric antigen receptor (CAR)-T cells. These physical barriers represent a major obstacle to the efficacy of adoptive T cell therapies in solid tumors. We previously identified Formin-like 1 (FMNL1) as a cytoskeletal regulator critical for T cell extravasation and migration through restrictive environments, making it a promising target to improve T cell infiltration into tumors. Here, we developed a bioengineering platform to enhance T cell cytoskeletal dynamics by overexpressing FMNL1 in TILs and CAR-T cells. FMNL1 overexpression significantly increased T cell migration through restrictive pores in transwell assays, supporting enhanced migratory capacity of T cells under mechanically constraining conditions. Importantly, FMNL1 overexpression did not impair T cell reactivation or cytotoxic function in vitro. In murine models of melanoma and lung carcinoma characterized by limited effector T cell infiltration, FMNL1-overexpressing TILs and CAR-T cells had significantly increased accumulation at tumor sites compared to controls. Importantly, enhanced tumor accumulation resulted in improved therapeutic activity, as adoptive transfer of FMNL1-overexpressing CAR-T cells limited tumor growth and prolonged the survival of tumor-bearing mice in multiple melanoma models. Together, our findings identify FMNL1 as a broadly applicable cytoskeletal engineering target to enhance T cell accumulation and persistence in restrictive tumor microenvironments, thereby overcoming a fundamental limitation of adoptive cellular immunotherapy in solid tumors.

Cell therapies involving human adipose-derived stromal cells (hASCs) have shown promise for a range of clinical applications due to their ability to stimulate angiogenesis and dampen inflammation via paracrine mechanisms. However, a major barrier to the successful clinical translation of hASC-based therapies is that standard culture methods for expansion on rigid 2D tissue-culture polystyrene under static conditions diminish the pro-regenerative functionality of the cells. To address these limitations, the current project focused on the development of an in vitro bioreactor system for preconditioning hASCs to augment their capacity to stimulate regeneration through paracrine mechanisms. Specifically, the combined effects of decellularized adipose tissue (DAT) coatings, shear-stress stimulation, and varying oxygen tensions on hASC expansion and paracrine factor secretion were assessed. Additional studies were performed to characterize the effects of stimulating hASCs within the rocking bioreactor system using the pro-inflammatory cytokines IFN-{gamma} and TNF-. Expansion in the bioreactor under all conditions supported hASC growth with no observable morphological differences. However, dynamic culture on DAT coatings enhanced intracellular indoleamine 2,3-dioxygenase (IDO) expression in hASCs cultured under 20% O2. Moreover, culturing under dynamic conditions and/or on DAT coatings significantly increased secretion of the pro-angiogenic factors VEGF, HGF, and angiogenin. When pro-inflammatory cytokine priming was introduced, the expression of all tested paracrine factors was enhanced, particularly the immunomodulatory factors IL-6, IL-8 and MCP-1. Overall, a novel bioreactor system was developed for hASC expansion and preconditioning, demonstrating that the cell microenvironment can be tuned to modulate hASC paracrine factor secretion.

Endothelial-to-mesenchymal transition (EndMT) has become a central mechanism in developmental biology, fibrosis, vascular disease, and cancer. We previously reported on an integrated signaling model in which TGF-{beta}2 induces EndMT through coordinated activation of Smad-dependent and Smad-independent signaling pathways converging on Snail, while GSK-3{beta} regulates Snail activity. We performed a systematic figure-by-figure reproducibility analysis of the original publication. Independent studies published between 2011 and 2026 were identified and curated according to predefined inclusion criteria. Each original experimental conclusion was evaluated for independent confirmation. In parallel, selected biochemical experiments were independently reproduced using newly acquired reagents and contemporary Western blot methodologies. Independent publications consistently reproduced each major mechanistic conclusion of the original study, including activation of Smad, ERK, PI3K/AKT, and p38 MAPK signaling, regulation of Snail expression, EndMT-associated marker switching, and GSK-3{beta}-dependent control of Snail activity. Independent laboratory experiments reproduced the principal biochemical findings using contemporary reagents and experimental workflows. The combined literature analysis and independent laboratory replication demonstrate that the mechanistic framework in our previous study has remained reproducible across multiple laboratories, endothelial cell types, disease models, and fifteen years of investigation. This work illustrates a complementary framework for assessing reproducibility that integrates direct experimental replication with cumulative independent validation.

Endothelial cells (ECs) derived from human induced pluripotent stem cells (hiPSCs) are increasingly used to model vascular diseases and test therapeutic strategies. However, the efficiency and reproducibility of differentiation can vary depending on the culture medium and its supplemented factors and stages. Here, we directly compared two defined media, APEL and BPEL, for iPSC-to-ECs differentiation. iPSCs were differentiated over 10 days with sequential growth factor induction, followed by magnetic-activated cell sorting or flow cytometry for CD31+ cells. Both media produced ECs with similar morphology and marker expression, including CD31 and VE-cadherin. Functional assays demonstrated comparable tube formation, indicating equivalent endothelial functionality. Cost analysis indicated that APEL had a higher total reagent cost but generated a higher total cell yield, resulting in a comparable cost per 10 total cells, whereas BPEL was more cost-efficient for producing CD31/VE-cadherin endothelial-specific cells. Our results suggest that APEL and BPEL media are equally effective for generating iPSC-derived ECs, providing flexibility in method selection for vascular disease modeling and drug discovery applications.

Hydrogels have emerged as attractive vaccine delivery platforms because they enable controlled modulation of antigen availability. However, how different hydrogel environments affect the release and functionality of mRNA-loaded lipid nanoparticles (mRNA-LNPs) remains poorly understood. Here, we investigated the release, stability, cellular uptake, and transfection capability of LNPs released from four hydrogel systems representing distinct crosslinking mechanisms: covalently crosslinked poly(ethylene glycol) (PEG), ionically crosslinked alginate, thermoresponsive Poloxamer 407 (P407), and protein-based Matrigel/collagen hydrogels. All hydrogels enabled release of LNPs over days, with kinetics strongly depending on hydrogel composition and polymer concentration. LNPs were quantitatively recovered from all hydrogel types, except from Matrigel/collagen where incomplete matrix dissolution was the limiting step. Lower polymer concentrations generally accelerated nanoparticle release. PEG offered greatest tunability of release kinetics; at the same time the recovery of the LNP-incorporated fluorescent dye DiI was reduced to about 80 %, indicating partial dye leakage. Alginate hydrogels exhibited recovery of DiI below 50 % and broader particle size distributions after release, while P407 hydrogels largely preserved LNP characteristics. Although quantitative recovery from Matrigel/collagen hydrogels was limited, released LNPs remained readily available for cellular uptake. Notably, LNPs released from low- and intermediate-concentration Matrigel/collagen hydrogels achieved approximately 80-90 % of the eGFP expression compared to mRNA-LNP that were not embedded into a hydrogel. Importantly, cellular uptake and transfection experiments demonstrated that all investigated hydrogels released biologically active mRNA-LNPs capable of mediating protein expression. Moreover, our findings show that hydrogel composition is a critical determinant of mRNA-LNP release, stability, and functional delivery. This work provides design principles for the development of hydrogel-based mRNA delivery systems aimed at sustained antigen availability and prolonged vaccine responses. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=156 SRC="FIGDIR/small/741169v1_ufig1.gif" ALT="Figure 1"> View larger version (42K): org.highwire.dtl.DTLVardef@138d9eforg.highwire.dtl.DTLVardef@16c0edaorg.highwire.dtl.DTLVardef@1432dd1org.highwire.dtl.DTLVardef@17511b5_HPS_FORMAT_FIGEXP M_FIG C_FIG

High-dimensional population balance equations (PBEs) provide a natural framework for modeling heterogeneous cell populations, but their direct numerical solution becomes computationally prohibitive when the internal state space contains many molecular variables. We propose a hybrid mechanistic-machine learning framework for reducing and simulating PBEs defined over high-dimensional intracellular coordinates. The cell population is described by a number density n(x, t), where x [isin] [R]N represents gene and protein states associated with macrophage activation. A dynamics-preserving autoencoder maps this state space to a low-dimensional latent coordinate z [isin] [R]d, with d << N, while retaining key qualitative features of the underlying gene regulatory network, including attractor structure and multistability. Mechanistic information from the original regulatory dynamics is used to construct interpretable drift and diffusion terms for the reduced latent-space PBE. The reduced PBE is solved using a stochastic Lagrangian particle representation, in which particles evolve according to stochastic differential equations (SDEs) corresponding to the latent drift and diffusion fields. The resulting latent-space solution is subsequently decoded and propagated back into the original state space to recover physically interpretable cellular dynamics. We demonstrate the framework on macrophage polarization under cytokine-dependent regulation, including gene knockout perturbations. Overall, the proposed framework provides a computationally tractable and mechanistically interpretable route for integrating single-cell genomic data with population balance models of cell-state dynamics.

Neutrophil swarming is a critical immune response in mammals and fish, in which neutrophils are recruited to inflammatory sites where they coordinate into a swarm that neutralizes pathogens. While excessive swarming can drive prolonged inflammation, a quantitative understanding of swarming dynamics remains limited. We developed a one-dimensional radial reaction-diffusion model of neutrophil swarming with two kinetic parameters, in order to capture the self-limiting swarming dynamics in both murine and human neutrophils in response to different inflammatory stimulus sizes. To ensure that the inverse problem is well-posed, we first performed sensitivity and identifiability analyses. We then developed a physics-informed neural network (PINN) to infer the key parameters governing swarm expansion and self-limitation. To account for uncertainty in noisy experimental measurements, we further extended this framework to a Bayesian PINN (B-PINN), which provides credible intervals for the inferred parameters. Both models were validated against synthetic data generated by numerical simulation and subsequently applied to in vitro experimental data from human and murine neutrophils in response to three bioparticle cluster sizes. The PINN-inferred dynamics show that larger bioparticle clusters are associated with greater cumulative recruitment and larger swarms in both species. The models further reveal species-specific differences in both the amplitude of initial recruitment and the timescale on which it self-limits. Additionally, the B-PINN posterior distributions quantify uncertainty in these species- and cluster size-dependent trends and identify where additional measurements would be most informative. To our knowledge, this is the first application of physics-informed machine learning to model neutrophil swarming dynamics. This framework provides a starting point for systematically comparing recruitment dynamics between human and murine neutrophils and offers guidance for future experimental design.

T cell repertoire sequencing has unveiled a vast, complex array of T cells responsible for the human immune responses. Traditional analytic methodology fails to fully characterize and quantify the diversity of T cell receptors constituting the T cell repertoire. T cell receptor clonal frequency measured in terms of T cell receptor beta (TRB) V gene segment usage when arrayed in correspondence with the respective V gene segment positions on the TRB loci yields a periodic, undulating curve in the spatial domain of the TRB genomic locus. Using the genomic distance from the TRB-D1 segment to the TRB-V1-29 segments, Fourier analysis was performed utilizing Lomb-Scargle periodogram to obtain Spectral Power curves quantifying the TRB V clonal frequencies from 6 allogeneic stem cell transplant donors (baseline) and recipients (>/=100 days) using a variety of analytic software. Spectral Power curves revealed dominant spectral peaks at wavelengths ranging from 4-9 kb (113-252 millicycles/kb) in the six donors, with consistent frequency domain spectral patterns. This is consistent with similar use of V segments across healthy individuals. Recipients on the other hand demonstrated more dispersed spectra, with a spectral centroid shifted towards higher frequencies compared to donors (260 vs. 247 millicycles/kb). Consistent with this observation, the Low Frequency Index was lower in the recipients (0.18 vs 0.20). Power was concentrated in the <3 kb and 3-12 kb wavelengths in both groups. The analyses reported here demonstrate that the healthy SCT donors have a remarkably similar spectral signature occupying short to intermediate wavelegnths in the frequency domain, whereas recipients tend to shift towards higher frequencies. These findings are consistent with a normal organized distribution of TRB V segment usage in healthy individuals (by analogy other loci), and a more diffuse and disorderly usage in recipients, consistent with the notion of T cell responses constituting a dynamical system which evolves as a function of time. Fourier analysis of TRB (and potentially TRA) sequencing data provides a repertoire wide summary of T cell clonal distribution.

Endothelial dysfunction is a hallmark of numerous vascular pathologies and is strongly influenced by mechanobiological forces within the vascular microenvironment. While the effects of shear stress have been extensively investigated, the mechanisms by which elevated hydrostatic pressure regulates endothelial junctional organisation remain sparsely investigated. Here, we employed a microfluidic platform to investigate the combined effects of low shear stress (1.4 dyne/cm2) and elevated hydrostatic pressure (~3972 Pa) on endothelial junctional dynamics. Elevated hydrostatic pressure induced marked remodelling of VE-cadherin junctions, characterised by formation of serrated, finger-like structures accompanied by increased YAP1 nuclear localisation and reduced YAP1-VE-cadherin cytoplasmic colocalisation compared to shear stress alone conditions. Further, elevated hydrostatic pressure also demonstrated an increase in cytoplasmic accumulation of EPS8, an actin adaptor protein, and increased cytoplasmic EPS8-VE-cadherin colocalisation. These observations were accompanied by functional changes marked by increased endothelial permeability, and enhanced THP-1 monocyte adhesion, thus suggesting activation of mechanosensitive pathways linked to dynamic junctional reorganisation. Inhibition of PI3K at elevated hydrostatic pressure exhibited a thin VE-cadherin patterning and increased cytoplasmic EPS8-VE-cadherin colocalisation, thus demonstrating a prominent role for PI3K signalling in regulating the junction organisation. Interestingly, Piezo-1 activation using Yoda1 produced context-dependent effects. Under shear stress alone, Yoda1 promoted YAP1 nuclear translocation, reduced YAP1-VE-cadherin colocalisation, increased endothelial permeability but strikingly did not impact THP-1 adhesion compared to shear stress alone conditions. In contrast, under elevated hydrostatic pressure conditions, Yoda1 significantly reduced both endothelial permeability and THP-1 adhesion while increasing YAP1-VE-cadherin colocalisation and decreasing YAP1 nuclear accumulation. Collectively, these findings identify a previously underappreciated elevated hydrostatic pressure-Piezo-1-PI3K signalling axis that regulates endothelial barrier integrity and pro-adhesive endothelial activation through coordinated regulation of VE-cadherin, YAP1, and EPS8. These results highlight elevated hydrostatic pressure as a unique mechanobiological stimulus, distinct from that of shear stress alone and provide novel insights into mechanisms underlying microvascular dysfunction.

Successful cartilage repair remains one of the most significant challenges in the musculoskeletal field. Microfracture (MFx), a form of marrow stimulation, remains the predominant repair technique, but it exhibits routine failure due to inadequate defect fill and inferior fibrotic tissue formation. Whereas current strategies focus on augmenting MFx with scaffolds and bioactive factors, the potential to target the MFx clot itself and use the capabilities of this dynamic environment to guide MFx repair remains largely unexplored. We verified that MFx contraction and fibrosis hinder repair success in minipigs and become evident as early as one week in multiple animal models. Therefore, our objective was to investigate and direct microenvironmental interactions in the MFx clot to promote volumetric maintenance and reprogram cells from a fibrotic to more chondrogenic phenotype. Extracellular control of cell-environment interactions, through fibrinogen augmentation or anti-fibrinolytic treatment, limited contraction but had no effect on or even exacerbated the fibrotic susceptibility of marrow-derived cells (MDCs). Intracellular control of microenvironmental interactions, through modulation of the Rho-ROCK pathway, drove TGF-{beta}3 activity of MDCs along a "chondro-fibro axis". In particular, treatment with the ROCK inhibitor Fasudil drove TGF-{beta}3-treated cells away from a myofibroblast phenotype and towards chondrogenesis. Short-term Fasudil treatment prevented TGF-{beta}3-driven macroscale clot contraction and enhanced cartilage-specific matrix deposition in vitro. In a pilot rat study, this combination treatment improved GAG deposition and better protected surrounding cartilage. These findings suggest that Rho-ROCK modulates TGF-{beta} signaling along this chondro-fibro axis and its precise control could be the key to promoting precise and volumetric cartilage repair through microenvironmental interactions.

Collagen, a major component of the extracellular matrix, regulates cellular behaviors, such as adhesion, differentiation, and angiogenesis. These functions are mediated by interactions between specific amino acid motifs within the collagen triple-helical structure and collagen-binding biomolecules. These include cell-surface receptors, such as integrins, discoidin domain receptors (DDRs), and syndecans, a family of transmembrane heparan sulfate proteoglycans (HSPGs). Signals mediated by these receptors are integrated to regulate cell fate. However, native collagen simultaneously presents multiple receptor-binding motifs, making it difficult to isolate receptor-specific functions and to evaluate receptor crosstalk. Here, we introduce a composition-controlled artificial collagen matrix platform that enables independent tuning of multiple receptor-binding motifs within a constant triple-helical scaffold. This material was produced by disulfide crosslinking of chemically synthesized collagen-like triple-helical peptides, each bearing a single defined receptor-binding sequence. By varying the mixing ratios of these peptides before crosslinking, we systematically controlled the composition of receptor-binding motifs within the matrices. We applied this platform to nerve growth factor-dependent neuronal differentiation of PC12 cells, a process supported by collagen. Matrices containing only integrin-binding sequences were sufficient to support this differentiation. Incorporation of an HSPG-binding sequence had little additional effect, whereas incorporation of a DDR-binding sequence suppressed integrin-mediated differentiation and coincided with DDR phosphorylation. These results reveal opposing roles of collagen-binding integrins and DDRs in regulating PC12 cell differentiation. Composition-controlled artificial collagen provides a versatile matrix platform for dissecting functional crosstalk among collagen receptors.

Zero-dimensional chemical master equations, ordinary differential equations, and compartmental population models replace spatial stochastic biological systems by vectors of total counts or densities. This study asks when that projection is exact and whether information retained in spatial correlations can diagnose its practical failure. Exact Markov closure is characterized by an aggregate-rate lumpability condition: for every retained transition, the sum of microscopic transition rates must be constant over all spatial configurations with the same counts. Violations are connected to BBGKY-type correlation hierarchies and to mean-field, pair, and triplet closures. Conditional rate, finite-time predictive, memory, path-space, and correlation Kullback-Leibler risks quantify distinct losses. An exactly solvable two-compartment reaction separates structural non-closure from recovery of a well-mixed law under fast hidden mixing. Copy number and a spatial mixing-interaction ratio connect concentration, volume, diffusion, and reaction parameters to practical screening, including an Escherichia coli-scale example. The same projection logic is evaluated in controlled spatial susceptible-infectious-removed and predator-prey benchmarks. Across mixed and segregated initial conditions and four mobility regimes, pair-correlation risk was strongly associated with the error of the corresponding zero-dimensional ordinary differential equations (Spearman correlations 0.95 and 1.00; pooled 0.99). A nearest-neighbour exchange sensitivity analysis preserved the positive risk-error ranking. These benchmarks do not establish a universal threshold, but support correlation information as a transferable diagnostic for selecting among count, pair, higher-order, and explicit spatial descriptions.

Immune checkpoint blockade has revolutionized cancer therapy, but the therapeutic efficacy is limited. Clinical trials on blockade of newly identified immune checkpoints didn't show promising result, suggesting that it might be insufficient to understand the function of immune checkpoints in cancer merely in the context of immunity. Here, we found mutually exclusive expression patterns of the immune checkpoint VISTA (or VSIR) and the neural stemness factor SETDB1, an oncoprotein that promotes immunoevasion, in xenograft tumors, suggesting that cells with high VISTA expression represents a differentiated, and hence, less or non-malignant state in tumor. Non-neural differentiation factors HHEX, MYOD1 and PPARG promote, whereas oncoproteins KRAS (and the mutant KRAS(G12D)) and SOX2, both being embryonic neural factors, repress VISTA expression. This tendency can be inferred from the finding that neural stemness is the core property of cancer cell. Manipulated expression of VISTA in cancer cells generated no significant effect on cell tumorigenicity and differentiation state, but led to change in cell morphology and actin cytoskeleton. Mechanistically, VISTA regulates a key cytoskeleton regulator, WASF2, leading to the change in cell morphology, which might interfere with signal transduction of immune response. The results suggest that 1) high expression of a protein in tumor might represent a less or non-malignant state, targeting of which would leave malignant cells intact, and consequently, leading to weak or even no therapeutic efficacy, a key factor worth considering for target selection; 2) immune checkpoints might play other roles in cells that interfere with regulation of anti-tumor immunity.

Hydrogels are widely used in sensing, delivery, and tissue engineering because their transport properties can be tuned through material design. However, while hydrogel permeability is often characterized using small molecules, many practical applications depend on the uptake and retention of much larger species, including protein conjugates and nanoparticles. Here, we systematically investigate how polyethylene glycol (PEG)-acrylate hydrogel microparticle formulation influences accumulation of signal-generating probes spanning a broad size range. We fabricated particles across a 36-condition design space varying nominal PEG-acrylate molecular weight, polymer weight percent, and UV crosslinking dose, and related formulation-dependent probe accumulation to particle swelling behavior. Increasing nominal PEG-acrylate molecular weight and decreasing polymer weight percent produced more highly swollen particles and strongly enhanced accumulation of fluorescent streptavidin conjugates, with the largest effects observed for bulky labels such as allophycocyanin and phycoerythrin. Gold nanoparticle accumulation was even more formulation-restricted, with detectable colorimetric signal observed primarily in the most permissive formulations. These findings establish design rules linking PEG hydrogel formulation to size-dependent accumulation and show that formulations suitable for small probes may be inadequate for larger reporters. More broadly, this framework may inform the design of hydrogels for particle-based assays as well as other applications where transport of macromolecules or nanoscale materials is important.

Human iPSC-derived brain organoids are revolutionizing tools to study layers biology, synergize disease modeling, and accelerate therapeutic discoveries that overcome obstacles in monolayer cell culture or animal models. The neurovascular unit including vasculature and microglia is critical for brain development, maintenance of synaptic plasticity and neural activity, and the high metabolic demands of long-term culture. We present a methodology to incorporate these important components during organoid generation and discuss potential approach, aiming consistent production of vascularized organoids for longitudinal study. We also demonstrate that this vascularized organoid is a versatile platform to model brain cancer and traumatic brain injury.

We present an active mixing toolhead for extrusion bioprinting. The tool enables the programmable fabrication of tumor microenvironment gradient arrays, through controlled deposition of mixed hydrogel precursor formulations into 384-well plates, pre-seeded with tumor cells. It operates on an open-source bioprinter and can actively mix arbitrary ratios of two hydrogel precursors prior to extrusion. These concentration gradient arrays are compatible with quantitative image analysis of cell viability and morphological responses to hydrogels conditioned with drug or extracellular matrix (ECM) proteins. The tools capacity to mix and print hydrogel precursor gradients was demonstrated using alginate and highly concentrated mCherry-conjugated mini-spidroin solutions. Hydrogel precursor stocks contained fluorescent reporters to facilitate quantifications of mixing efficiency, and as proxies for drug and ECM protein concentrations. The tool was applied to generate hydrogel-based gradients of the apoptosis-inducer staurosporine, from which concentration-dependent MDA-MB-231 breast cancer cell death responses were quantified. Gradient arrays of the ECM protein laminin-511, implicated in breast cancer tumorigenesis, were generated and revealed that increasing laminin-511 concentrations potentiated staurosporine-induced cell death. The study demonstrates the utility of this active mixing toolhead for producing hydrogel gradient arrays, and demonstrates the relevance of studying drug-responses in tumor microenvironment models that account for disease-specific ECM components.

The emergence of bispecific antibodies (BsAbs) targeting T cells (CD3+) and tumor plasma B cells (BCMA+) has provided a new therapeutic option for patients with relapsed/refractory multiple myeloma cancer. However, responses to CD3xBCMA BsAb therapy remain heterogeneous, and treatment is associated with frequent immune-related adverse events. Although baseline immune characteristics have been associated with clinical outcomes, little is known about the early immune dynamics induced by this therapy. Here, we investigated whether longitudinal clinical monitoring and high-dimensional profiling of blood circulating T cells could identify early biomarkers of response or toxicity during treatment. Our results indicate that all treated patients exhibit an early depletion of circulating T cells associated with T-cell activation within the first two weeks. Integration of clinical and immunological parameters using Factorial Analysis of Mixed Data (FAMD) identified immune features associated with treatment outcome. Responders had lower plasma soluble BCMA concentrations, fewer bone lesions, higher circulating lymphocyte counts at baseline. During the first days of treatment, responders exhibited a more pronounced increase in plasma CXCL10 levels, associated with a greater decrease in T lymphocyte counts. Overall, our findings suggest that integrating clinical and immune parameters measured during the first days of treatment may enable early patient stratification and support the development of a predictive score to identify patients with multiple myeloma who are most likely to benefit from CD3xBCMA BsAb therapy. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=94 SRC="FIGDIR/small/743749v1_ufig1.gif" ALT="Figure 1"> View larger version (34K): org.highwire.dtl.DTLVardef@1cb079org.highwire.dtl.DTLVardef@1860106org.highwire.dtl.DTLVardef@ad36d3org.highwire.dtl.DTLVardef@1ea5c1e_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIIntegrated clinical and blood T-cell immune profiling using FAMD enables patient stratification following CD3xBCMA BsAb therapy. C_LIO_LIT-cell immune activation occurs predominantly within the first two weeks of therapy. C_LIO_LIFirst-week clinical and immune parameters identify patients most likely to benefit from therapy. C_LIO_LIHigh CXCL10 levels, a profound early decline in circulating T cells, low sBCMA levels, and fewer bone lesions are candidate predictive markers of treatment response. C_LI