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Park, S.

Publications and source records attributed to Park, S..

At least 217 records · Page 12Linked to original sources
bioRxiv2023

Analysis of spike protein variants evolved in a novel mouse model of persistent SARS-CoV-2 infection

SARS-CoV-2 mutation rates have increased over time, resulting in the emergence of several variants of concern. Persistent infection is assumed to be involved in the evolution of the variants; however, there is currently no animal model to recapitulate persistent infection. We established a novel model of persistent infection using xenografts of Calu-3 human lung cancer cells in immunocompromised mice. After infection with wild-type SARS-CoV-2, viruses were found in the tumor tissues for up to 30 days and acquired various mutations, predominantly in the spike (S) protein, some of which increased while others fluctuated for 30 days. Three isolated viral clones with defined mutations produced higher virus titers than the wild-type virus in Calu-3 cells without cytotoxic effects. In K18-hACE2 mice, the variants were less lethal than the wild-type virus. Infection with each variant induced production of cross-reactive antibodies to the receptor binding domain of wild-type S protein and provided protective immunity against subsequent challenge with wild-type virus. These results suggest that most of the SARS-CoV-2 variants acquired mutations promoting host adaptation in the Calu-3 xenograft mice. This model can be used in the future to further study persistent SARS-CoV-2 infection.

microbiology↗
bioRxiv2023

An ancestral vaccine induces anti-Omicron antibodies by hypermutation

The immune escape of Omicron variants significantly subsides by the third dose of an mRNA vaccine. However, it is unclear how Omicron variant-neutralizing antibodies develop under repeated vaccination. We analyzed blood samples from 41 BNT162b2 vaccinees following the course of three injections and analyzed their B-cell receptor (BCR) repertoires at six time points in total. The concomitant reactivity to both ancestral and Omicron receptor-binding domain (RBD) was achieved by a limited number of BCR clonotypes depending on the accumulation of somatic hypermutation (SHM) after the third dose. Our findings suggest that SHM accumulation in the BCR space to broaden its specificity for unseen antigens is a counter protective mechanism against virus variant immune escape.

bioengineering↗
bioRxiv2023

Similarity in Functional Connectome Architecture Predicts Teenage Grit

Grit is a personality trait that encapsulates the tendency to persevere and maintain consistent interest for long-term goals. While prior studies found that grit predicts positive behavioral outcomes, there is a paucity of work providing explanatory evidence from a neurodevelopmental perspective. Based on previous research suggesting the utility of the functional connectome as a developmental measure, we tested the idea that individual differences in grit might be, in part, rooted in brain development in adolescence and emerging adulthood (N = 64, 11-19 years of age). Our analysis showed that grit was associated with connectome stability across conditions and connectome similarity across individuals. Notably, inter-subject representational similarity analysis revealed that teenagers who were grittier shared similar functional connectome architecture with each other, more so than those with lower grit. Our findings suggest that gritty individuals are more likely to follow a specific neurodevelopmental trajectory, which may underpin subsequent beneficial behavioral outcomes. Statement of RelevanceMaintaining consistent effort and passion for long-term, personally meaningful goals - often referred to as grit - is suggested to be associated with a wide range of positive outcomes such as academic achievement, career success and subjective well-being. Although grit has gained substantial amount of interest not only in the academia but also from the general population, only a handful of studies have examined its neural underpinnings. Here, we examined whether putative developmental measures using whole-brain functional connectivity patterns (i.e., functional connectome) explain individual differences in grit. Using publicly available developmental neuroimaging dataset ranging from early adolescence to emerging adulthood, we found that functional connectome stability within individuals and similarity between individuals uniquely explained self-reported grit. Confirmatory analyses demonstrated the existence of common neural representations shared among gritty teenagers, which were unveiled during movie-watching. These findings highlight that grit may be embedded in the functional connectome architecture during adolescence and emerging adulthood.

neuroscience↗
bioRxiv2023

Systematic analysis of disease-linked rare germline variants reveals new classes of cancer predisposing genes

Despite recent insights into cancer predisposition genes (CPGs), the contribution of rare germline variants to carcinogenesis remains unclear. Here, we examine the enrichment of rare germline variants in Mendelian disease-associated genes using PCAWG and the 1,000 Genomes Project. Using an integrative approach that considers disease classes, cellular pathways, and tissue expression profiles, we find that subsets of Online Mendelian Inheritance in Man (OMIM) genes are strong candidate CPGs. These genes were classified into five clusters suggesting diverse mechanisms underlie tumor progression. We further analyzed PAH gene which shows the strongest prevalence of rare germline variants in cancers (2.2%) compared to controls (0.7%). This enrichment was validated in two independent cancer cohorts and present the possibility of tumorigenesis by contributing immune-associated pathways. Our data argue that rare germline variants of Mendelian disease-associated genes contribute to cancer progression and suggest new CPG classifications that may underlie diverse tumorigenesis mechanisms.

bioinformatics↗
bioRxiv2023

GATA1 knockout in human pluripotent stem cells generates enhanced neutrophils to investigate extracellular trap formation

Human pluripotent stem cell (hPSC)-derived tissues can be used to model diseases and validate targets in cell types that are challenging to harvest and study at-scale, such as neutrophils. Neutrophil dysregulation, specifically unbalanced neutrophil extracellular trap (NET) formation, plays a critical role in the prognosis and progression of multiple diseases, including COVID-19. hPSCs can provide a limitless supply of neutrophils (iNeutrophils) to study these processes and discover and validate targets in vitro. However, current iNeutrophil differentiation protocols are inefficient and generate heterogeneous cultures consisting of different granulocytes and precursors, which can confound the study of neutrophil biology. Here, we describe a method to dramatically improve iNeutrophils yield, purity, functionality, and maturity through the deletion of the transcription factor GATA1. GATA1 knockout (KO) iNeutrophils are nearly identical to primary neutrophils in cell surface marker expression, morphology, and host defense functions. Unlike wild type (WT) iNeutrophils, GATA1 KO iNeutrophils generate NETs in response to the physiologic stimulant lipopolysaccharide (LPS), suggesting they could be used as a more accurate model when performing small-molecule screens to find NET inhibitors. Furthermore, through CRSPR/Cas9 deletion of CYBB we demonstrate that GATA1 KO iNeutrophils are a powerful tool in quickly and definitively determining involvement of a given protein in NET formation.

immunology↗
bioRxiv2023

Novel genetically encoded tools for imaging or silencing neuropeptide release from presynaptic terminals in vivo

Neurons produce and release neuropeptides to communicate with one another. Despite their profound impact on critical brain functions, circuit-based mechanisms of peptidergic transmission are poorly understood, primarily due to the lack of tools for monitoring and manipulating neuropeptide release in vivo. Here, we report the development of two genetically encoded tools for investigating peptidergic transmission in behaving mice: a genetically encoded large dense core vesicle (LDCV) sensor that detects the neuropeptides release presynaptically, and a genetically encoded silencer that specifically degrades neuropeptides inside the LDCV. Monitoring and silencing peptidergic and glutamatergic transmissions from presynaptic terminals using our newly developed tools and existing genetic tools, respectively, reveal that neuropeptides, not glutamate, are the primary transmitter in encoding unconditioned stimulus during Pavlovian threat learning. These results show that our sensor and silencer for peptidergic transmission are reliable tools to investigate neuropeptidergic systems in awake behaving animals.

neuroscience↗
bioRxiv2023

EnsDTI-kinase: Web-server for Predicting Kinase-Inhibitor Interactions with Ensemble Computational Methods and Its Applications

MotivationKinase inhibitors are a major category of drugs. Experimental panel assay protocols are routinely used as a standard procedure to evaluate the efficiency and selectivity of a drug candidate to target kinase. However, current kinase panel assays are time-consuming and expensive. In addition, the panel assay protocols neither provide insights on binding sites nor allow experiments on mutated sequences or newly-characterized kinases. Existing virtual screening or docking simulation technologies require extensive computational resources, thus it is not practical to use them for the panel of kinases. With rapid advances in machine learning and deep learning technologies, a number of DTI tools have been developed over the years. However, these methods are yet to achieve prediction accuracies at the level of practical use. In addition, the performances of current DTI tools vary significantly depending on test sets. In this case, an ensemble model can be used to improve and stabilize DTI prediction accuracies. ResultsIn this work, we propose an ensemble model, EnsDTI-kinase, that integrates eight existing machine learning and deep learning models into a unified model deployed as a web-server. Upon submission of a compound SMILES string, potential target kinases are automatically predicted and evaluated on the web-server. Importantly, EnsDTI-kinase is a computational platform where newly developed DTI tools can be easily incorporated without modifying core components so that its DTI prediction quality can improve over time. Besides, many useful functionalities are provided on our platform for users to further investigate predicted DTI: it allows confidence experiments by changing the amino acid (AA) at a specific position in a kinase sequence, named in silico mutagenesis, to investigate the effect of AA changes in binding affinity; it predicts kinase sequential regions where the query compound likely binds to by slidingly masking the sequence of selected kinases so that confidence in the predicted binding sites can be evaluated. Our model was evaluated in three experimental settings using four independent datasets, and showed accuracy of 0.82 compared to the average accuracy of 0.69 from five deep learning methods on the ChEMBL dataset. It achieved average selectivity of 0.95 within kinase families such as TK, CAMK and STE. For 8 out of 17 recent drugs, our model successfully predicted their interactions with 404 proteins at average accuracy of 0.82. Availabilityhttp://biohealth.snu.ac.kr/software/ensdti Contactsunkim.bioinfo@snu.ac.kr

bioinformatics↗
bioRxiv2023

Dimensional Reduction for Single Molecule Imaging of DNA and Nucleosome Condensation by Polyamines, HP1α and Ki-67

Macromolecules organize themselves into discrete membrane-less compartments. Mounting evidence has suggested that nucleosomes as well as DNA itself can undergo clustering or condensation to regulate genomic activity. Current in vitro condensation studies provide insight into the physical properties of condensates, such as surface tension and diffusion. However, such studies lack the resolution needed for complex kinetic studies of multicomponent condensation. Here, we use a supported lipid bilayer platform in tandem with total internal reflection microscopy to observe the 2-dimensional movement of DNA and nucleosomes at the single-molecule resolution. This dimensional reduction from 3-dimensional studies allows us to observe the initial condensation events and dissolution of these early condensates in the presence of physiological condensing agents. Using polyamines, we observed that the initial condensation happens on a timescale of minutes while dissolution occurs within seconds upon charge inversion. Polyamine valency, DNA length and GC content affect threshold polyamine concentration for condensation. Protein-based nucleosome condensing agents, HP1 and Ki-67, have much lower threshold concentration for condensation than charge-based condensing agents, with Ki-67 being the most effective as low as 100 pM for nucleosome condensation. In addition, we did not observe condensate dissolution even at the highest concentrations of HP1 and Ki-67 tested. We also introduce a two-color imaging scheme where nucleosomes of high density labeled in one color is used to demarcate condensate boundaries and identical nucleosomes of another color at low density can be tracked relative to the boundaries after Ki-67 mediated condensation. Our platform should enable the ultimate resolution of single molecules in condensation dynamics studies of chromatin components under defined physicochemical conditions. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=105 SRC="FIGDIR/small/522433v1_ufig1.gif" ALT="Figure 1"> View larger version (35K): org.highwire.dtl.DTLVardef@1ed0cc9org.highwire.dtl.DTLVardef@1e26b5dorg.highwire.dtl.DTLVardef@1f6e73corg.highwire.dtl.DTLVardef@c7227b_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗
bioRxiv2022

CHESS 3: an improved, comprehensive catalog of human genes and transcripts based on large-scale expression data, phylogenetic analysis, and protein structure

The original CHESS database of human genes was assembled from nearly 10,000 RNA sequencing experiments in 53 human body sites produced by the Genotype-Tissue Expression (GTEx) project, and then augmented with genes from other databases to yield a comprehensive collection of protein-coding and noncoding transcripts. The construction of the new CHESS 3 database employed improved transcript assembly algorithms, a new machine learning classifier, and protein structure predictions to identify genes and transcripts likely to be functional and to eliminate those that appeared more likely to represent noise. The new catalog contains 41,356 genes on the GRCh38 reference human genome, of which 19,839 are protein-coding, and a total of 158,377 transcripts. These include 14,863 novel protein-coding transcripts. The total number of transcripts is substantially smaller than earlier versions due to improved transcriptome assembly methods and to a stricter protocol for filtering out noisy transcripts. Notably, CHESS 3 contains all of the transcripts in the MANE database, and at least one transcript corresponding to the vast majority of protein-coding genes in the RefSeq and GENCODE databases. CHESS 3 has also been mapped onto the complete CHM13 human genome, which gives a more-complete gene count of 43,773 genes and 19,968 protein-coding genes. The CHESS database is available at http://ccb.jhu.edu/chess.

genomics↗
bioRxiv2022

Lateral compression of lipids drives transbilayer coupling of liquid-like protein condensates

Liquid-liquid phase separation of proteins has recently been observed on the surfaces of biological membranes, where it plays a role in diverse cellular processes, from assembly of focal adhesions and the immunological synapse, to biogenesis of trafficking vesicles. Interestingly in each of these cases, proteins on both surfaces of the membrane are thought to participate, suggesting that protein phase separation could be coupled across the membrane. To explore this possibility, we used an array of freestanding planar lipid membranes to observe protein phase separation simultaneously on both surfaces of lipid bilayers. When proteins known to engage in phase separation bound to the surfaces of these membranes, two-dimensional, protein-rich phases rapidly emerged. These phases displayed the hallmarks of a liquid, coarsening over time by fusing and re-rounding. Interestingly, we observed that protein-rich domains on one side of the membrane colocalized with those on the other side, resulting in transbilayer coupling. How do liquid-like protein phases communicate across the lipid bilayer? Our results, based on lipid probe partitioning and the differential mobility of proteins and lipids, collectively suggest an entropic coupling mechanism, which relies on the ability of protein phase separation to locally reduce the entropy of the underlying lipid membrane, most likely by increasing lipid packing. Regions of reduced entropy then colocalize across the bilayer to minimize the overall free energy of the membrane. These findings suggest a previously unknown mechanism by which cellular signals originating from one side of the membrane, triggered by protein phase separation, can be transferred to the opposite side.

biophysics↗
bioRxiv2022

A patterned human heart tube organoid model generated by pluripotent stem cell self-assembly

Human pluripotent stem cells can recapitulate significant features of mammalian organ development in vitro, including key aspects of heart development. We hypothesized that the organoids thus created can be made substantially more relevant by mimicking aspects of in utero gestation, leading to higher physiological and anatomical resemblance to their in vivo counterparts. Here, we report steps towards generating developmentally inspired maturation methodologies to differentiate early human heart organoids into patterned heart-tube-like structures in a reproducible and high-throughput fashion by complete self-organization. The maturation strategy consists of the controlled and stepwise exposure to metabolic (glucose, fatty acids) and hormonal signals (T3, IGF-1) as present during early heart development. These conditions elicit important transcriptomic, cellular, morphological, metabolomic, and functional changes over a 10-day period consistent with continuously increasing heart complexity, maturation, and patterning. Our data reveals the emergence of atrial and ventricular cardiomyocyte populations, valvular cells, epicardial cells, proepicardial-derived cells, endothelial cells, stromal cells, conductance cells, and cardiac progenitors, all of them cell types present in the primitive heart tube. Anatomically, the organoids elongate and develop well-differentiated atrial and ventricular chambers with compacted myocardial muscle walls and a proepicardial organ. For the first time in a completely self-organizing heart organoid, we show anterior-posterior patterning due to an endogenous retinoic acid gradient originating at the atrial pole, where proepicardial and atrial populations reside, mimicking the developmental process present within the primitive heart tube. Collectively, these findings highlight the ability of self-organization and developmental maturation strategies to recapitulate human heart development. Our patterned human heart tube model constitutes a powerful in vitro tool for dissecting the role of different cell types and genes in human heart development, as well as disease modeling congenital heart defects, and represents a step forward in creating fully synthetic human hearts.

bioengineering↗
bioRxiv2022

Neurodegeneration Risk Factor, EIF2AK3 (PERK), Influences Tau Protein Aggregation

Tauopathies are neurodegenerative diseases caused by pathologic misfolded tau protein aggregation in the nervous system. Population studies implicate EIF2AK3 (eukaryotic translation initiation factor 2 alpha kinase 3), better known as PERK (protein kinase R-like endoplasmic reticulum kinase), as a genetic risk factor in several tauopathies. PERK is a key regulator of intracellular proteostatic mechanisms - Unfolded Protein Response (UPR) and Integrated Stress Response (ISR). Previous studies found that tauopathy-associated PERK variants encoded functional hypomorphs with reduced signaling in vitro. But, it remained unclear how altered PERK activity led to tauopathy. Here, we chemically or genetically modulated PERK signaling in cell culture models of tau aggregation and found that PERK pathway activation prevented tau aggregation while inhibition exacerbated tau aggregation. In primary tauopathy patient brain tissues, we found that reduced PERK signaling correlated with increased tau neuropathology. We found that tauopathy-associated PERK variants targeted the ER luminal domain; and two of these variants damaged hydrogen bond formation. Our studies support that PERK activity protects against tau aggregation and pathology. This may explain why people carrying hypomorphic PERK variants have increased risk for developing tauopathies. Finally, our studies identify small molecule augmentation of PERK signaling as an attractive therapeutic strategy to treat tauopathies by preventing tau pathology.

neuroscience↗
bioRxiv2022

Evaluation of the Efficacy of the Hypocretin/orexin Receptor Agonists TAK-925 and ARN-776 in Narcoleptic Orexin/tTA; TetO-DTA Mice

The sleep disorder Narcolepsy, a hypocretin deficiency disorder thought to be due to degeneration of hypothalamic hypocretin/orexin neurons, is currently treated symptomatically. We evaluated the efficacy of two small molecule hypocretin/orexin receptor-2 (HCRTR2) agonists in narcoleptic male orexin/tTA; TetO-DTA mice. TAK- 925 (1-10 mg/kg, s.c.) and ARN-776 (1-10 mg/kg, i.p.) were injected 15 min before dark onset in a repeated measures design. EEG, EMG, subcutaneous temperature (Tsc) and activity were recorded by telemetry; recordings for the first 6-h of the dark period were scored for sleep/wake and cataplexy. At all doses tested, TAK-925 and ARN-776 caused continuous wakefulness and eliminated sleep for the first hour. Both TAK-925 and ARN-776 caused dose-related delays in NREM sleep onset. All doses of TAK-925 and all but the lowest dose of ARN-776 eliminated cataplexy during the first hour after treatment; the anti-cataplectic effect of TAK-925 persisted into the 2nd hour for the highest dose. TAK-925 and ARN-776 also reduced the cumulative amount of cataplexy during the 6-h post-dosing period. The acute increase in wakefulness produced by both HCRTR2 agonists was characterized by increased spectral power in the gamma EEG band. Although neither compound provoked a NREM sleep rebound, both compounds affected NREM EEG during the 2nd hour post-dosing. TAK-925 and ARN-776 also increased gross motor activity, running wheel activity and Tsc, suggesting that the wake-promoting and sleep-suppressing activities of these compounds could be a consequence of hyperactivity. Nonetheless, the anti-cataplectic activity of TAK-925 and ARN-776 is encouraging for the development of HcrtR2 agonists.

neuroscience↗
bioRxiv2022

CD244 regulates both innate and adaptive immune axes in melanoma by inhibiting autophagy-mediated M1 macrophage maturation

Accumulating data have highlighted the role of monocytes/macrophages in immune escape by generating immunologically "cold" tumors that do not respond to immunotherapy. CD244 (SLAMF4, 2B4), a member of the signaling lymphocyte activation molecule family, is expressed on myeloid cells, but its precise role has not been elucidated. Using monocyte lineage-specific CD244-deficient (LysM-cre+/-CD244fl/fl;cKO) mice challenged with B16F10 melanoma, we report for the first time that CD244 negatively regulates tumor immunity by inhibiting the differentiation and functional maturation of CD11b+Ly6ChiF4/80lo monocytes into CD11b+Ly6CloF4/80hi macrophages within the tumor microenvironment. CD244-deficient macrophages more effectively activated antigen-specific T cell responses compared to WT macrophages, thus delaying tumor growth in the B16F10 melanoma model. Moreover, combinatorial intervention of anti-PD-L1 antibodies with CD244-KO BMDM markedly improved tumor rejection compared to the anti-PD-L1 antibody alone or in combination with WT BMDM. Consistent with the murine data, transcriptome analysis of human melanoma tissue single-cell RNA-sequencing dataset (SCP398 from single-cell portal), revealed 221 differentially expressed genes of CD244- monocytes/macrophages were associated with phagocytosis, antigen presentation, and autophagy. Additionally, cell type deconvolution analysis within melanoma patients bulk RNA-seq datasets from TCGA database, revealed presence of CD244- monocytes/macrophages significantly increased patient survival in primary and metastatic tumors. Hence, we proposed that CD244 serve as a critical immune checkpoint receptor on macrophages, and CD244-deficient macrophages may represent a novel therapeutic modality to convert immunologically "cold" tumors to "hot" tumors, which can function synergistically with checkpoint blockade therapies.

immunology↗
bioRxiv2022

The Lamin A/C Ig-fold undergoes cell density-dependent changes that alter epitope accessibility

Lamins A/C are nuclear intermediate filament proteins that are involved in diverse cellular mechanical and biochemical functions. Here, we report that recognition of Lamins A/C by a commonly used antibody (JOL-2) that binds the Lamin A/C Ig-fold and other antibodies targeting similar epitopes is highly dependent on cell density, even though Lamin A/C protein levels do not change with cell density. The density-dependent Lamin A/C labeling was distinct from previously reported differential apico-basal labeling, which was independent of cell density. Comparison of the density-dependent labeling effects of antibodies recognizing different Lamin A/C epitopes suggests that the effect is caused by partial unfolding or masking of the CE and/or EF loops of the Ig-fold in response to cell spreading. Seeding cells on micropatterned surfaces with different areas confirmed that increased cell spreading resulted in reduced Lamin A/C labeling with the JOL-2 antibody. Surprisingly, JOL-2 antibody labeling was insensitive to depolymerization of cytoskeletal filaments or disruption of the Linker of Nucleoskeleton and Cytoskeleton (LINC) complex. Although the density-dependent changes of the Ig-fold did not alter nuclear stiffness or nucleo-cytoskeletal force transmission, they may nonetheless modulate interaction with lamin binding partners and thereby affect cellular functions. Taken together, our results point to a previously unrecognized change in the Lamin A/C Ig-fold that affects recognition by the JOL-2 antibody. These findings are not only important for the interpretation of immunofluorescence data for Lamin A/C, but also raise the intriguing prospect that the conformational changes may play a role in Lamin A/C mediated cellular function.

cell biology↗
bioRxiv2022

A meiotic midbody structure in mouse oocytes acts as a barrier for nascent translation to ensure developmental competence

Successful embryo development is dependent upon maternally deposited components. During egg formation, developmental competence is acquired through regulated translation of maternal mRNA stores. In addition, egg precursors undergo two rounds of chromosome segregation, each coupled to an asymmetric cytokinesis that produces two non-functional polar bodies. In somatic cells, cytokinesis produces two daughter cells and one midbody remnant (MBR), a signaling organelle assembled from the midbody (MB), which first appears in Telophase. MBs contain transcription and translation factors, and epigenetic modifiers. Once MBs mature to MBRs by abscission, they can be subsequently phagocytosed by another cell and influence cellular function or fate. Although the significance of MBs is elucidated in several cell types like neurons, cancer cells and stem cells, the presence and function of MBs in gametes and their roles in reproductive fitness are unknown. Here, we examined the formation and regulation of meiotic midbodies (mMB) in mouse oocytes. We find that although mouse oocyte mMBs contain analogous structures to somatic MBs, they also have a unique cap-like structure composed of the centralspindlin complex, and that cap formation depends upon an asymmetric microtubule abundance in the egg compared to the polar body. Furthermore, our results show that mMBs are translationally active ribonucleoprotein granules, supported by detection of ribosomes, polyadenylated mRNAs and nascent translation. Finally, by pharmacological and laser ablation-based approaches, we demonstrate that the mMB cap is a barrier to prevent translated products from leaving the egg and escaping into the polar body. Crucially, this barrier is critical for successful early embryonic development. Here, we document an evolutionary adaptation to the highly conserved process of cytokinesis in mouse oocytes and describe a new structure and new mechanism by which egg quality and embryonic developmental competence are regulated.

cell biology↗
bioRxiv2022

Exploration of mechanisms of drug resistance by polyaneuploid cancer cells in a microfluidic device and patient tissues

Chemoresistance is a major cause of treatment failure in many cancers. However, the life cycle of cancer cells as they respond to and survive environmental and therapeutic stress is understudied. In this study, we utilized a microfluidic device to induce the development of doxorubicin-resistant (DOXR) cells from triple negative breast cancer (TNBC) cells within 11 days by generating gradients of DOX and medium. In vivo chemoresistant xenograft models, an unbiased genome-wide transcriptome analysis, and a patient data/tissue analysis all showed that chemoresistance arose from failed epigenetic control of the nuclear protein-1 (NUPR1)/histone deacetylase 11 (HDAC11) axis, and high Nupr1 expression correlated with poor clinical outcomes. These results suggest that the chip can rapidly induce resistant cells that increase tumor heterogeneity and chemoresistance, highlighting the need for further studies on the epigenetic control of the NUPR1/HDAC11 axis in TNBC.

cancer biology↗