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In cancer chemotherapy,one axiom,which has practically solidified into dogma,is that acquired resistance to antitumor agents or regimens,nearly inevitable in all patients with metastatic disease,remains unalterable and irreversible,rendering therapeutic rechallenge futile. However,the introduction of epigenetic therapies,including histone deacetylase inhibitors (HDACis) and DNA methyltransferase inhibitors (DNMTIs),provides oncologists,like computer programmers,with new techniques to overwrite" the modifiable software pattern of gene expression in tumors and challenge the "one and done" treatment prescription. Taking the epigenetic code-as-software analogy a step further� View Publication

As a critical immune checkpoint molecule,PD-L1 is expressed at significantly higher levels in multiple neoplastic tissues compared to normal ones. PD-L1/PD-1 axis is a critical target for tumor immunotherapy,blocking the PD-L1/PD-1 axis is recognized and has achieved unprecedented success in clinical applications. However,the clinical efficacy of therapies targeting the PD-1/PD-L1 pathway remains limited,emphasizing the need for the mechanistic elucidation of PD-1/PD-L1 expression. In this study,we found that RNF125 interacted with PD-L1 and regulated PD-L1 protein expression. Mechanistically,RNF125 promoted K48-linked polyubiquitination of PD-L1 and mediated its degradation. Notably,MC-38 and H22 cell lines with RNF125 knockout,transplanted in C57BL/6 mice,exhibited a higher PD-L1 level and faster tumor growth than their parental cell lines. In contrast,overexpression of RNF125 in MC-38 and H22 cells had the opposite effect,resulting in lower PD-L1 levels and delayed tumor growth compared with parental cell lines. In addition,immunohistochemical analysis of MC-38 tumors with RNF125 overexpression showed significantly increased infiltration of CD4+,CD8+ T cells and macrophages. Consistent with these findings,analyses using The Cancer Genome Atlas (TCGA) public database revealed a positive correlation of RNF125 expression with CD4+,CD8+ T cell and macrophage tumor infiltration. Moreover,RNF125 expression was significantly downregulated in several human cancer tissues,and was negatively correlated with the clinical stage of these tumors,and patients with higher RNF125 expression had better clinical outcomes. Our findings identify a novel mechanism for regulating PD-L1 expression and may provide a new strategy to increase the efficacy of immunotherapy. View Publication

Exosomes are nanosized membranous vesicles secreted by a variety of cells. Due to their unique and pharmacologically important properties,cell-derived exosome nanoparticles have drawn significant interest for drug development. By genetically modifying exosomes with two distinct types of surface-displayed monoclonal antibodies,we have developed an exosome platform termed synthetic multivalent antibodies retargeted exosome (SMART-Exo) for controlling cellular immunity. Here,we apply this approach to human epidermal growth factor receptor 2 (HER2)-expressing breast cancer by engineering exosomes through genetic display of both anti-human CD3 and anti-human HER2 antibodies,resulting in SMART-Exos dually targeting T cell CD3 and breast cancer-associated HER2 receptors. By redirecting and activating cytotoxic T cells toward attacking HER2-expressing breast cancer cells,the designed SMART-Exos exhibited highly potent and specific anti-tumor activity both in vitro and in vivo. This work demonstrates preclinical feasibility of utilizing endogenous exosomes for targeted breast cancer immunotherapy and the SMART-Exos as a broadly applicable platform technology for the development of next-generation immuno-nanomedicines. View Publication

Respiratory organoids have emerged as a powerful in vitro model for studying respiratory diseases and drug discovery. However,the high-throughput analysis of organoid images remains a challenge due to the lack of automated and accurate segmentation tools. This study presents a semi-automatic algorithm for image analysis of respiratory organoids (nasal and lung organoids),employing the U-Net architecture and CellProfiler for organoids segmentation. The algorithm processes bright-field images acquired through z-stack fusion and stitching. The model demonstrated a high level of accuracy,as evidenced by an intersection-over-union metric (IoU) of 0.8856,F1-score = 0.937 and an accuracy of 0.9953. Applied to forskolin-induced swelling assays of lung organoids,the algorithm successfully quantified functional differences in Cystic Fibrosis Transmembrane conductance Regulator (CFTR)-channel activity between healthy donor and cystic fibrosis patient-derived organoids,without fluorescent dyes. Additionally,an open-source dataset of 827 annotated respiratory organoid images was provided to facilitate further research. Our results demonstrate the potential of deep learning to enhance the efficiency and accuracy of high-throughput respiratory organoid analysis for future therapeutic screening applications. Author summaryIn this study,we developed a semi-automated tool to analyze images of respiratory organoids—3D cell structures that mimic the human respiratory system. These organoids are vital for studying diseases like cystic fibrosis and testing potential drugs,but manually analyzing their images is time-consuming and prone to errors. Our tool uses artificial intelligence (AI) to quickly and accurately measure organoid size and shape from bright-field microscope images,eliminating the need for fluorescent dyes that can harm cells. We trained our AI model on a publicly shared dataset of 827 annotated organoid images,achieving high accuracy in detecting and quantifying organoids. When applied to cystic fibrosis research,the tool successfully measured differences in organoid swelling (forskolin-induced swelling - a key test for drug response) between healthy and patient-derived samples. By making our dataset and method openly available,we hope to support further research into respiratory diseases. Our work bridges the gap between complex lab techniques and practical applications,offering a faster,more reliable way to study human health and disease. View Publication

Metabolic labeling with stable isotopes is a prominent technique for comparative quantitative proteomics,and stable isotope labeling with amino acids in cell culture (SILAC) is the most commonly used approach. SILAC is,however,traditionally limited to simple tissue culture regimens and only rarely employed in the context of complex culturing conditions as those required for human embryonic stem cells (hESCs). Classic hESC culture is based on the use of mouse embryonic fibroblasts (MEFs) as a feeder layer,and as a result,possible xenogeneic contamination,contribution of unlabeled amino acids by the feeders,interlaboratory variability of MEF preparation,and the overall complexity of the culture system are all of concern in conjunction with SILAC. We demonstrate a feeder-free SILAC culture system based on a customized version of a commonly used,chemically defined hESC medium developed by Ludwig et al. and commercially available as mTeSR1 [mTeSR1 is a trade mark of WiCell (Madison,WI) licensed to STEMCELL Technologies (Vancouver,Canada)]. This medium,together with adjustments to the culturing protocol,facilitates reproducible labeling that is easily scalable to the protein amounts required by proteomic work flows. It greatly enhances the usability of quantitative proteomics as a tool for the study of mechanisms underlying hESCs differentiation and self-renewal. Associated data have been deposited to the ProteomeXchange with the identifier PXD000151. View Publication

Human mesenchymal stromal cells (hMSCs) have generated significant interest due to their potential use in clinical applications. hMSCs are present at low frequency in vivo,but after isolation can be expanded considerably,generating clinically useful numbers of cells. In this study,we demonstrate the use of a defined embryonic stem cell expansion medium,mTeSR (Stem Cell Technologies),for the expansion of bone-marrow-derived hMSCs. The hMSCs grow at comparable rates,demonstrate tri-lineage differentiation potential,and show similar surface marker profiles (CD29(+),CD44(+),CD49a(+),CD73(+),CD90(+),CD105(+),CD146(+),CD166(+),CD34(-),and CD45(-)) in both the fetal bovine serum (FBS)-supplemented medium and mTeSR. However,expression of early differentiation transcription factors runt-related transcription factor 2,sex-determining region Y box 9,and peroxisome proliferator-activated receptor gamma changed significantly. Both runt-related transcription factor 2 and sex-determining region Y box 9 were upregulated,whereas peroxisome proliferator-activated receptor gamma was downregulated in mTeSR compared with FBS. Although osteogenic and chondrogenic differentiation was comparable in cells grown in mTeSR compared to FBS,adipogenic differentiation was significantly decreased in mTeSR-expanded cells,both in terms of gene expression and absolute numbers of adipocytes. The removal of the FBS from the medium and the provision of a defined medium with disclosed composition make mTeSR a superior study platform for hMSC biology in a controlled environment. Further,this provides a key step toward generating a clinical-grade medium for expansion of hMSCs for clinical applications that rely on osteo- and chondroinduction of MSCs,such as bone repair and cartilage generation. View Publication

INTRODUCTION Triple-negative breast cancer (TNBC) high rate of relapse is thought to be due to the presence of tumor-initiating cells (TICs),molecularly defined as being CD44high/CD24-/low. TICs are resilient to chemotherapy and radiation. However,no currently accepted molecular target exists against TNBC and,moreover,TICs. Therefore,we sought the identification of kinase targets that inhibit TNBC growth and eliminate TICs. METHODS A genome-wide human kinase small interfering RNA (siRNA) library (691 kinases) was screened against the TNBC cell line SUM149 for growth inhibition. Selected siRNAs were then tested on four different breast cancer cell lines to confirm the spectrum of activity. Their effect on the CD44high subpopulation and sorted CD44high/CD24-/low cells of SUM149 also was studied. Further studies were focused on polo-like kinase 1 (PLK1),including its expression in breast cancer cell lines,effect on the CD44high/CD24-/low TIC subpopulation,growth inhibition,mammosphere formation,and apoptosis,as well as the activity of the PLK1 inhibitor,BI 2536. RESULTS Of the 85 kinases identified in the screen,28 of them were further silenced by siRNAs on MDA-MB-231 (TNBC),BT474-M1 (ER+/HER2+,a metastatic variant),and HR5 (ER+/HER2+,a trastuzumab-resistant model) cells and showed a broad spectrum of growth inhibition. Importantly,12 of 28 kinases also reduced the CD44high subpopulation compared with control in SUM149. Further tests of these 12 kinases directly on a sorted CD44high/CD24-/low TIC subpopulation of SUM149 cells confirmed their effect. Blocking PLK1 had the greatest growth inhibition on breast cancer cells and TICs by about 80% to 90% after 72 hours. PLK1 was universally expressed in breast cancer cell lines,representing all of the breast cancer subtypes,and was positively correlated to CD44. The PLK1 inhibitor BI 2536 showed similar effects on growth,mammosphere formation,and apoptosis as did PLK1 siRNAs. Finally,whereas paclitaxel,doxorubicin,and 5-fluorouracil enriched the CD44high/CD24-/low population compared with control in SUM149,subsequent treatment with BI 2536 killed the emergent population,suggesting that it could potentially be used to prevent relapse. CONCLUSION Inhibiting PLK1 with siRNA or BI 2536 blocked growth of TNBCs including the CD44high/CD24-/low TIC subpopulation and mammosphere formation. Thus,PLK1 could be a potential therapeutic target for the treatment of TNBC as well as other subtypes of breast cancer. View Publication

Priming of human NK cells with IL-2 is necessary to render them functionally competent upon NKG2D engagement. We examined the underlying mechanisms that control NKG2D responsiveness in NK cells and found that IL-2 upregulates expression of the amino acid transporters SLC1A5 and CD98. Using specific inhibitors to block SLC1A5 and CD98 function,we found that production of IFN-γ and degranulation by CD56bright and CD56dim NK cells following NKG2D stimulation were dependent on both transporters. IL-2 priming increased the activity of mTORC1,and inhibition of mTORC1 abrogated the ability of the IL-2-primed NK cells to produce IFN-γ in response to NKG2D-mediated stimulation. This study identifies a series of IL-2-induced cellular changes that regulates the NKG2D responsiveness in human NK cells. View Publication

RATIONALE: Human embryonic stem cell (hESC) derivatives are attractive candidates for therapeutic use. The engraftment and survival of hESC derivatives as xenografts or allografts require effective immunosuppression to prevent immune cell infiltration and graft destruction.backslashnbackslashnOBJECTIVE: To test the hypothesis that a short-course,dual-agent regimen of two costimulation-adhesion blockade agents can induce better engraftment of hESC derivatives compared to current immunosuppressive agents.backslashnbackslashnMETHODS AND RESULTS: We transduced hESCs with a double fusion reporter gene construct expressing firefly luciferase (Fluc) and enhanced green fluorescent protein,and differentiated these cells to endothelial cells (hESC-ECs). Reporter gene expression enabled longitudinal assessment of cell engraftment by bioluminescence imaging. Costimulation-adhesion therapy resulted in superior hESC-EC and mouse EC engraftment compared to cyclosporine therapy in a hind limb model. Costimulation-adhesion therapy also promoted robust hESC-EC and hESC-derived cardiomyocyte survival in an ischemic myocardial injury model. Improved hESC-EC engraftment had a cardioprotective effect after myocardial injury,as assessed by magnetic resonance imaging. Mechanistically,costimulation-adhesion therapy is associated with systemic and intragraft upregulation of T-cell immunoglobulin and mucin domain 3 (TIM3) and a reduced proinflammatory cytokine profile.backslashnbackslashnCONCLUSIONS: Costimulation-adhesion therapy is a superior alternative to current clinical immunosuppressive strategies for preventing the post-transplant rejection of hESC derivatives. By extending the window for cellular engraftment,costimulation-adhesion therapy enhances functional preservation following ischemic injury. This regimen may function through a TIM3-dependent mechanism. View Publication

Human pluripotent stem cells (hPSCs) display a very short G1 phase and rapid proliferation kinetics. Regulation of the cell cycle,which is linked to pluripotency and differentiation,is dependent on the stem cell environment,particularly on culture density. This link has been so far empirical and central to disparities in the growth rates and fractions of self-renewing hPSCs residing in different cycle phases. In this study,hPSC cycle progression in conjunction with proliferation and differentiation were comprehensively investigated for different culture densities. Cell proliferation decelerated significantly at densities beyond 50×10(4) cells/cm(2). Correspondingly,the G1 fraction increased from 25% up to 60% at densities greater than 40×10(4) cells/cm(2) while still hPSC pluripotency marker expression was maintained. In parallel,expression of the cycle inhibitor CDKN1A (p21) was increased,while that of p27 and p53 did not change significantly. After 4 days of culture in an unconditioned medium,greater heterogeneity was noted in the differentiation outcomes and was limited by reducing the density variation. A quantitative model was constructed for self-renewing and differentiating hPSC ensembles to gain a better understanding of the link between culture density,cycle progression,and stem cell state. Results for multiple hPSC lines and medium types corroborated experimental findings. Media commonly used for maintenance of self-renewing hPSCs exhibited the slowest kinetics of induction of differentiation (kdiff),while BMP4 supplementation led to 14-fold higher kdiff values. Spontaneous differentiation in a growth factor-free medium exhibited the largest variation in outcomes at different densities. In conjunction with the quantitative framework,our findings will facilitate rationalizing the selection of cultivation conditions for the generation of stem cell therapeutics. View Publication