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Shi, X.

Publications and source records attributed to Shi, X..

At least 55 records · Page 3Linked to original sources

Spatial Transcriptomics Reveal Developmental Dynamics of the Human Cerebral Cortex and Striatum

The human fetal brain undergoes morphological changes that contribute to the development of regional functionalities. However, the features of structural development, the underlying molecular and cellular signatures in the fetal brain remain unclear. With spatial transcriptomics and snRNA-seq, we identified 25 forebrain regions and characterized the dynamic changes in the cortex and striatum during the late first and early second trimesters. In particular, we discovered that temporal lobe enriched NPY-expressing L2/3 EX neuron potentially interacted with L4 EX neurons during cortical expansion and arealization. Additionally, the gyrus and sulcus were developmental asynchronous, in which HOPX and SPARC genes were potentially involved. Further investigation on the striatum showed specific genes and cell types that enriched in patch and matrix compartments, and SST-positive interneurons potentially involved in the development of these structures. Together, our results give insights into the understanding of early fetal brain development.

bioinformatics↗

Ultrasound-activated drug release with extracellular vesicles

Precise, noninvasive targeting and controlled drug release to the nervous system could transform both basic research and clinical therapy. In this work, we developed a focused ultrasound-responsive delivery system based on extracellular vesicles (EVs), which are naturally occurring and biocompatible phospholipid nanocarriers. To enable the ultrasound responsiveness, a lipid-gas phase transition material Perfluoropentane (PFP) was co-encapsulated with therapeutic agents into EVs via low-temperature sonication. The resulting EVs had a size of 100-200 nm and demonstrated efficient, on-demand release upon ultrasound stimulation. In primary cultured neurons, EVs loaded with lidocaine successfully suppressed calcium activity and showed minimum cytotoxicity. Finally, we demonstrated in vivo application of this system for modulation pain sensitivity in rats. Our EVs-drugs platform demonstrated a safe, and ultrasound-activated drug delivery with high spatiotemporal control, showing strong potential therapeutic applications.

bioengineering↗

EphA2 and Ephrin-A1 Use the Same Interface for Both in cis and in trans Interactions That Regulate Distinct Cell Signaling and Function

The 14 members of Eph receptor tyrosine kinases (RTK) bind to membrane-tethered ligand called ephrins and mediate cell contact signaling where the receptors and ligands engage in trans on adjacent cells. Previous studies reveal that some Eph and ephrin pairs are coexpressed on the same cells, including EphA3-ephrin-A3 and EphA4/ephrin-A5, can also interact with each other in cis. However, significant discrepancies persist as to the molecular basis and functional significance of the cis interactions, owning to the difficulties to directly interrogate the interactions. Here, we utilize time-resolved live cell fluorescence spectroscopy to demonstrate direct in cis interactions between EphA2 and ephrin-A1. Structure-guided mutagenesis mapped interactions to two salt bridges between the ligand- and receptor-binding domains of EphA2 and ephrin-A1. Interestingly, the same interface is shared with in trans interaction. Consequently, EphA2-ephrin-A1 interaction in cis competes with their interaction in trans, which leads to attenuation of EphA2 canonical signaling and inhibition of cell rounding when ligand is presented in trans. EphA2 and ephrin-A1 are widely coexpressed in many epithelial tissues, and dysregulation of their expression is known to contribute to tumor initiation and progression. The detailed molecular characterization of the mutually exclusive cis and trans interactions uncovers a new mechanism underpinning their unique roles in oncogenesis. Significance StatementEphA2 exerts dual functions in tumorigenesis, depending on the binding status of its membrane-tethered ephrin-A ligands. Ligands presented in trans on adjacent cells activate EphA2 canonical signaling associated with tumor suppression, whereas loss of ligand expression promotes oncogenic noncanonical signaling of EphA2 via serine 897 phosphorylation. Combining time-resolved spectroscopy in live cells, structure-guided mutagenesis, we show strong in cis interactions between EphA2 and ephrin-A1, which shares the same interface as interaction in trans. Moreover, the cis interaction interferes with ligand binding in trans, attenuates EphA2 canonical signaling. Our results uncover a new mechanism of EphA2 regulation by its co-expressed ligand ephrin-A1 with important implications in its known roles in oncogenesis as well as other disease processes including development of cataract.

biophysics↗

Reconstitution of lamin assembly on nuclear pore complex-containing membranes

Intermediate filaments called lamins line the metazoan nuclear envelope and organize the nucleus and genome. Unlike actin and microtubules, purified intermediate filament proteins assemble into non-physiological structures, making it difficult to connect lamin functions to their assembly and regulation. To overcome this challenge and shed light on physiological lamin assembly mechanisms, we conducted biochemical studies of lamin-B3 endogenously present in Xenopus laevis egg extracts, which recapitulate physiological context. When we mimicked nucleoplasm conditions, which would support assembly of lamin filaments in in-tact cells, lamin-B3 assembled into higher-order structures resembling filamentous meshworks without accompanying nuclear assembly. This ectopic lamin assembly occurs on nuclear pore complex-containing membranes, but does not apparently recruit known nuclear lamina components, demonstrating that a lamin assembly process is partially separable from the rest of the nuclear lamina and nucleus. This assembly assay in the physiological context of cellular components opens the door to further dissecting nuclear lamina function in nuclear organization. SummaryMimicking nucleoplasm conditions in Xenopus laevis egg extracts triggers a lamin assembly reaction independent of nucleus assembly, giving new insights into potential lamin assembly mechanisms.

cell biology↗

ODFormer: a Virtual Organoid for Predicting Personalized Therapeutic Responses in Pancreatic Cancer

Pancreatic cancer (PC) patient-derived organoids (PDOs) faithfully recapitulate therapeutic responses but face clinical translation barriers, including high costs and technical complexity. To address these problems and the lack of frameworks for PDO-based drug-response assays, we developed ODFormer, a computational framework that simulates PC PDOs to predict clinically actionable, patient-specific drug responses by integrating transcriptomic and mutational profiles. ODFormer first employed two encoders, pretrained on 30,000 pan-cancer bulk transcriptomics and 1 million PC single-cell profiles respectively, to distil tissue-and organoid-specific representations. Then, trained on our curated 14,000 PDO drug-response assay (across 183 PDOs and 98 drugs) using a transformer-augmented hybrid contrastive network, ODFormer significantly outperformed state-of-the-art methods, notably achieving a PCC >0.9 in predicting standardized drug response. Multi-cohort retrospective analyses further demonstrated that ODFormer-guided personalized therapy significantly improves clinical outcomes, without requiring physical organoid assays. Furthermore, ODFormer identified novel clinico-biological PC subtypes and revealed therapy resistance biomarkers by stratifying predicted responders and non-responders. These were validated using independent datasets including TCGA-PDAC. Notably, ODFormer-guided treatment efficacy showed high concordance with prospective clinical responses by CA19-9.

bioinformatics↗

Toward pharmacologic therapy for glioblastoma: Identifying inhibitors of very long-chain acyl-CoA synthetase 3 (ACSVL3)

Brain tumors, in particular glioblastoma multiforme (GBM), are among the most aggressive and difficult to treat human neoplasms. Even with combined surgery, radiation and chemotherapy, the 5-year survival rate for GBM is only [~]7%. Thus, new treatment approaches are needed. We previously found that the fatty acid metabolism enzyme "very long-chain acyl-CoA synthetase 3" (ACSVL3) is overproduced in human glioma tissue and in glioblastoma cell lines such as U87MG cells. These cells exhibited malignant growth properties in culture and were tumorigenic in nude mice. When either knockdown or knockout strategies were used to deplete U87MG cells of ACSVL3, they adopted a more normal growth rate and produced significantly fewer, slower growing tumors in mice. An inhibitor of ACSVL3, if identified, could prove to be a valuable pharmacotherapeutic agent in GBM. Therefore, we sought to identify small molecule compounds that decrease or block the enzyme activity of ACSVL3, as measured by the formation of stearoyl-CoA from the 18-carbon saturated fatty acid stearic acid, a preferred substrate for ACSVL3. We approached this in two ways. First, we tested several compounds that were previously shown to inhibit the activity of a structurally and functionally related enzyme, ACSVL1. Several compounds tested showed inhibition of stearoyl-CoA formation in U87MG cells when added to an in vitro enzyme assay. These included drugs triflupromazine, phenazopyridine, chlorpromazine, emodin, and perphenazine which are approved for treating other conditions. Also inhibitory to stearoyl-CoA production were several compounds from a ChemBridge Corporation library designated CB2, CB5, CB6 and CB 16.2. One caveat regarding interpretation of these results is that in addition to ACSVL3, all cells including U87MG contain other acyl-CoA synthetases capable of using stearic acid as substrate. Therefore, we also measured stearoyl-CoA synthetase activity in ACSVL3-deficient U87MG cells (U87-KO). If a drug or compound is an ACSVL3 inhibitor, it should decrease total conversion of stearate to stearoyl-CoA more in U87MG than in U87-KO cells. By this criterion, most of the tested compounds showed some ACSVL3-specific inhibition. At the screening concentration of 80M drug, CB5 and CB16.2 showed the greatest potency to inhibit ACSVL3 enzyme activity; at 10 M, CB5 still showed significant inhibition but CB16.2 did not. We conclude that these compounds are worthy of further investigation as potential therapeutic agents in GBM, but additional drugs that have greater specificity and are effective at significantly lower concentrations must also be identified. Therefore, our second strategy was to develop a high-throughput library screening assay. For this, we took advantage of the fatty acid transport capability of some ACSVL family members. ACSVL1, when heterologously expressed in COS-1 cells, promotes cellular uptake of the fluorescent fatty acid analog C1-BODIPY-C12; in contrast, overexpressed ACSVL3 does not. We used a domain-swapping strategy to replace the N-terminal 210 amino acids of ACSVL3 with the N-terminal 100 amino acids of ACSVL1, producing ACSVL1/3. Unlike ACSVL3, ACSVL1/3 robustly promoted C1-BODIPY-C12 uptake while retaining the catalytically active C-terminus of ACSVL3. Most of the drugs and compounds that decreased stearoyl-CoA synthetase inhibition also inhibited C1-BODIPY-C12 uptake in a concentration-dependent manner. Catalytically defective ACSVL1/3 mutants lost their ability to promote C1-BODIPY-C12 uptake. Thus, we conclude that chimeric ACSVL1/3 gained the fatty acid transport function of ACSVL1 while retaining the catalytic properties of ACSVL3. A pilot screening study of >1280 drugs from an approved drug library and >880 compounds from a library of drugs predicted to cross the blood-brain barrier detected more than 50 molecules that lowered C1-BODIPY-C12 by more than 3 standard deviations. Although secondary screening will likely exclude many or all of these, our findings support the notion that we have developed a viable method for detecting potential ACSVL3 inhibitors. Further characterization may reveal candidate pharmacologic agents for treatment of GBM and other cancers.

biochemistry↗

ZCCHC4 Promotes Translation of Replication-dependent Histone mRNAs by Recruiting Cytoplasmic eIF3 complex

Chromatin instability is a major driving force in tumorigenesis, so the correct chromatin structure is essential for maintaining genome stability during the various stages of the cell cycle and DNA template processes. However, there is limited research on how histones are regulated and whether insufficient histone supply leads to chromatin instability, thereby affecting the process of tumor generation. Our study demonstrates that ZCCHC4 exhibits dual subcellular localization in both the nucleus and cytoplasm. Notably, in the cytoplasm, ZCCHC4 facilitates the translation of replication-dependent (RD) histone mRNAs, potentially through direct interaction with components of the translation initiation machinery. Depletion of ZCCHC4 results in a global reduction in protein translation, particularly affecting the translation of replication-dependent histones. This translational impairment prolongs the S phase of the cell cycle, leading to insufficient histone supply, chromatin relaxation, and genomic instability. Moreover, ZCCHC4 knockout markedly inhibits cell proliferation, colony-forming ability, and the growth of xenograft tumors. In conclusion, this study demonstrates that ZCCHC4 plays a pivotal role in regulating global protein translation by interacting with the eIF3 complex, which is essential for efficient mRNA translation in cancer cells and for sustaining the supply of replication-dependent histones during the S phase.

cancer biology↗

Specific GPCRs Elicit Unique Extracellular Vesicle MiRNA Array Signatures: An Exploratory Study

3.All cells secrete extracellular vesicles (EVs) containing nucleic acid cargo, including microRNAs (miRNAs), that regulate the function of receiving cells. G protein-coupled receptors (GPCRs) affect intracellular function via multiple signaling cascades. However, the mechanisms of GPCR intercellular signaling through EV miRNA activity are unknown. Human U2 osteosarcoma cells expressing native GPCRs were used to selectively stimulate distinct G protein signaling cascades (Gi, Gq, G12/13, and {beta}-arrestin) by members of specific receptor subclasses including the adenosine receptor A1 (ADORA1), the histamine receptor H1 (HRH1), the frizzled class receptor 4 (FZD4), and the atypical chemokine receptor 3 (ACKR3), respectively. We hypothesized that stimulation of specific classes of GPCRs would cause the release of EVs containing miRNAs with receptor-specific up- or down-regulated expression, affecting unique pathological downstream signaling cascades. Receptor-specific agonists dose-dependently increased respective signaling cascade intermediates. We found no change in the quantity of EVs ([~]200nm diameter), but there were distinct EV miRNA signatures following stimulation of GPCRs. Network analyses of differentially expressed miRNA and their predicted targets validated the linkage between specific receptors and cell function and pathological states. The data can be used to reverse engineer mechanisms involving EV miRNAs for various physiological and pathological processes. GPCRs are major pharmacological targets, so understanding the mechanisms that stimulate or inhibit GPCR-mediated changes in extracellular miRNA signatures could improve long- and short-term therapeutic and unwanted drug effects. SummaryStimulation of specific GPCRs elicited unique EV miRNA signatures that up- and down-regulated predicted biological and pathological cellular processes. 4. Significance StatementG protein-coupled receptors (GPCR) are therapeutic targets for various human diseases. However, the mechanisms of GPCR signaling through extracellular vesicle (EV) miRNA activity are unknown. Here, we identified unique EV miRNA signatures resulting from GPCR activation. The miRNA functional analyses indicate that the downstream signaling effects and their functional networks differ by receptor. This study has important implications for developing new drugs and their long-term and "off-target" effects. 5. Visual Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=186 SRC="FIGDIR/small/659918v2_ufig1.gif" ALT="Figure 1"> View larger version (53K): org.highwire.dtl.DTLVardef@1a9812org.highwire.dtl.DTLVardef@1f5cbf3org.highwire.dtl.DTLVardef@20d1fdorg.highwire.dtl.DTLVardef@ba4fad_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

METTL5 Blockade Enhances Anti-Tumor Immune Response via Inducing Neoantigen Generation

Tumor neoantigens play a pivotal role in eliciting tumor-specific immune responses and holds the promise for personalized immunotherapy. However, previous studies mainly focused on the tumor-specific neoantigens derived from genomic mutation and aberrant RNA splicing, limiting the repertoire of targetable neoantigens. Here, we demonstrate that inhibition of rRNA methyltransferase METTL5 translationally increases neoantigen production and enhances anti-tumor immunity. Mechanistically, METTL5-mediated m6A modification at the decoding center of small ribosomal subunit maintains the proper function of ribosome during mRNA translation. METTL5-deficiency decreases translation fidelity and increases production of tumor cell-specific antigens derived from non-canonical translation. Furthermore, we found that Mettl5-depletion increased CD8T cell infiltration density and T cell receptor (TCR) repertoire diversity in murine tumor models. Importantly, this immunostimulatory effect strictly depended on intact antigen presentation pathways, suggesting that Mettl5 knockout exerts its effects primarily through neoantigen generation. Together, this study uncovers the intrinsic mechanisms sustaining mRNA translation accuracy, elucidates a novel source of tumor neoantigen generation, and proposes a new strategy to enhance immunotherapy through targeting mRNA translation.

cancer biology↗

Tissue-like compression stiffening in biopolymer networks induced by aggregated and irregularly shaped inclusions

Biological tissues experience mechanical compression under various physiological and pathological conditions and often exhibit compression stiffening, in which their stiffness increases during compression, a phenomenon that plays a crucial role in regulating cell behavior and maintaining mechanical homeostasis. However, most isolated biopolymer networks, such as fibrin and collagen hydrogels that form the extracellular matrix and actin network that forms the internal cytoskeleton, undergo compression softening, raising questions about how tissues achieve compression stiffening despite the softening properties of their extracellular and intracellular matrix components. Previous studies have shown that spherical inclusions at large volume fractions can induce compression stiffening in biopolymer networks, but they do not account for the effects of aggregation and irregular morphologies of cellular assemblies or other components in tissues. Here, we demonstrate a novel mode of compression stiffening induced by aggregated or irregularly shaped inclusions that occurs at significantly lower volume fractions. Using carbonyl iron particles and coffee ground particles, we find that the morphological diversity of inclusions enables tissue-like compression stiffening at a low volume fraction of inclusions. Through a set of experiments and computational analyses, we demonstrate that these particles can percolate at low volume fractions. We further show that the percolation of stiff inclusions creates a stress-supporting network and enables tension-dominated stress propagation in fibrin fibers, both of which drive macroscopic stiffening during compression. These findings provide insights into the regulation of tissue stiffness and have implications for designing biomaterials with physiologically relevant mechanical properties for biomedical applications. Significance StatementBiological tissues experience a variety of mechanical forces. Many tissues, such as brain, liver, fat, and blood clots, become stiffer under physiological compressive loads, a property known as compression stiffening. In contrast, most biopolymer networks, which are the primary structural components for tissues, soften under compression. Here, we show that incorporating a small amount of aggregated or irregularly shaped particles into biopolymer gels induces robust compression stiffening. These inclusions percolate through the gel and rearrange non-affinely under compression, stretching surrounding fibers and contributing to mechanical reinforcement. Together, these effects reproduce tissue-like compression stiffening. Our findings not only provide new physical models for understanding tissue mechanics but also offer insights for designing biomaterials to achieve physiologically relevant mechanical responses.

biophysics↗

Contrastive Learning-Enhanced Drug Metabolite Prediction Drives the Discovery of an Orally Bioavailable RSK4 Inhibitor for Esophageal Cancer

Drug metabolism liabilities are a major bottleneck in drug development, necessitating accurate metabolite prediction tools. While AI-driven methods have advanced, challenges remain in achieving high-precision, robustness, broad reaction coverage and seamless integration into the drug development workflow. To address this, we first constructed the most comprehensive human-specific drug metabolism database to date, encompassing 11,665 human metabolic reactions and 2,497 high-quality rules. Leveraging this resource, we developed ConMeter (Contrastive learning and feature interaction based Metabolic Reaction prediction), a novel model integrating chemical feature interaction and contrastive learning. ConMeter demonstrates significant improvements, achieving [~]80% accuracy in identifying at least one metabolite within the top 5 predictions and showing an average 25% relative enhancement in ranking true positives compared to state-of-the-art methods. The comprehensive database also expands the range of predictable metabolic reactions. To demonstrate the utility of ConMeter, we integrated it into a metabolite prediction-guided drug design strategy aimed at addressing the low oral bioavailability of a metabolically vulnerable RSK4 lead compound -- a pervasive issue among known RSK inhibitors. This strategy successfully yielded R636, a novel RSK4 inhibitor exhibiting remarkably improved bioavailability (a 63-fold increase, reaching 63% absolute bioavailability) while maintaining its potent activity. Notably, R636 showed favorable safety profile and significant anti-tumor efficacy against esophageal squamous cell carcinoma (ESCC) in vitro and in two distinct patient-derived xenograft (PDX) mouse models. This work introduces ConMeter as a powerful and practical tool for high-accuracy metabolite prediction, demonstrating its potential to accelerate lead optimization, exemplified by the discovery of R636 as a promising orally bioavailable candidate for ESCC.

cancer biology↗

Changing the initiation unit of nonribosomal peptide synthetases to access underexplored biosynthetic potential

Nonribosomal peptide synthases (NRPSs) are large multimodular enzymes, capable of synthesizing nonribosomal peptides (NRPs) with diverse structures and bioactivities. Genome sequencing revealed a large number of uncharacterized NRPS biosynthetic gene clusters (BGCs) and their products are underexplored. The majority of NRPSs remain silent potentially attributed to factors such as the low activity of the initiation unit or insufficient precursor supply. Exchanging the starter condensation (Cs) domains within initiation unit can change the length of acyl chains of NRPs, hinting at a promising strategy through swapping of a well-studied Cs domain to activate the initiation unit and harness primary metabolites as precursors, which may offer a new option to access silent BGCs. Here, we first pinpointed two highly efficient fusion sites for initiation unit exchanges. Subsequently, they were validated by replacing the initiation region of endopyrrole pathway with a Cs-containing initiation unit for generation of a lipo-endopyrrole derivate. We promptly leveraged this strategy of changing initiation unit to target six previously silent NRPS BGCs, three BGCs were successfully activated and five novel lipopeptides were identified, demonstrating its application to recover silent BGCs. Furthermore, we extended this strategy in more BGCs from different bacteria. Utilizing a heterologous Cs-containing unit to replace the initiation region of chitinimide biosynthetic pathway led to successful incorporation of N-terminal fatty acid chains into chitinimide to create artificial lipo-chitinimides. This study provides a feasible strategy to rationally recover silent BGCs and add fatty acid chains to NRPs, enriching the genome mining and combinatorial biosynthesis approach for bacterial natural products. SignificanceNonribosomal peptide synthetases (NRPSs) represent a valuable yet underexplored reservoir for bioactive natural products, but most of them are silent. This study introduces the concept that changing initiation unit to activate and optimize the functional expression of NRPSs, and successfully access three of six previously silent NRPS pathways, providing a feasible complement to the current genome mining approaches. Moreover, the N-terminal lipid chains are crucial for the activity of lipopeptides. We employed a heterologous Cs (starter condensation domain)-containing initiation unit to replace the original initiation region for creation of artificial nonribosomal lipopeptides, ultimately yielding three novel lipo-derivatives. This work presents a groundbreaking approach for activating and optimizing NRPSs and provides profound insight into the exploration of bacterial NRPS pathways.

synthetic biology↗

Microengineered transplantation of human solid tumors for in vitro studies of CAR T immunotherapy

Treatment of solid malignancies using chimeric antigen receptor (CAR) T cells remains a significant challenge, but current efforts to advance this therapy are challenged by our limited capacity to probe and understand cancer-immune interactions in human solid tumors. Here, we present a microengineered platform for in vitro modeling of malignant solid tumors during CAR T therapy. This system makes it possible to vascularize human tumor explants and perfuse them with blood-borne immune cells in a controlled manner. We first present a microphysiological model of human lung adenocarcinomas infused with CAR-T cells and show how this system can be used to simulate, visualize, and interrogate tumor-directed trafficking and effector function of CAR T cells. We then demonstrate the proof-of-principle of testing a chemokine-directed CAR T cell engineering strategy in a model of malignant pleural mesothelioma and validating our in vitro assessment using a matching in vivo mouse model. Finally, we describe a potential therapeutic target discovered by single-cell RNA sequencing that can be pharmacologically modulated to increase the efficacy of CAR T cells for lung adenocarcinoma, for which we also present specific biomarkers identified by global metabolomics analysis. We believe that the bioengineering principle demonstrated here will make important contributions to developing new capabilities for preclinical studies of adoptive cell therapies for cancer and other complex diseases.

bioengineering↗

INSIGHT: In Silico Drug Screening Platform using Interpretable Deep Learning Network

The large-scale multiplexed drug screening platforms like PRISM and GDSC facilitate the screening of drug treatments over 1,000 cancer cell lines. The cancer cell lines are well characterized by multiomics screening in CCLE and DepMap, enabling the application of AI and machine learning techniques to study the association between drug sensitivity and the underlying molecular profiles. The large scale and variety of data modalities enabled us to build an interpretable deep learning framework, INSIGHT, integrating the multiomics data and the drugs molecular structure to predict drug response. We trained our model on the PRISM screen for single treatments and on the DrugComb screen database for combination treatments. Our method enables the in-silico extension of current screens by predicting drug response in cancer cell lines not included in the screen, as well as the drug response to novel single agent or combination therapy by leveraging the drugs molecular structure. Furthermore, the deep learning framework was built to enable biological interpretation. The connections between the hidden layers of the neural network incorporate prior biological knowledge such as signaling pathways. This enables the model, in addition to predicting the drug sensitivity profiles, to prioritize the pathways predictive of drug response and identify pathways related to the mechanism of action (MOA) and potential off target effects of novel drugs. The evaluation of our model using cross-validation on the PRISM and DrugComb dataset showed an improved performance compared to previously developed biologically informed deep learning methods and traditional state of the art machine learning methods like elastic-net and XGBoost. We illustrated with examples the value of incorporating biological knowledge into INSIGHT by relating the pathway activity of the predictive models to the MOA.

bioinformatics↗

Targeting protein glycosylation and cholesterol metabolism in chemoresistant pancreatic cancer

Chemotherapy remains the cornerstone of pancreatic ductal adenocarcinoma (PDAC) treatment. However, most cases of PDAC finally progress to advanced chemoresistant disease. This highlights an urgent need to develop new pharmacological strategies to overcome chemotherapy resistance using clinical grade inhibitors. Here, we established a biobank comprising 260 organoid lines derived from 322 pancreatic cancer patients. These organoids underwent extensive multi-omics profiling and drug sensitivity testing for both chemotherapy and targeted therapy. Increased protein glycosylation and cholesterol metabolism signaling pathways were especially enriched in chemoresistant organoid lines. Importantly, chemoresistant PDAC organoids were effectively targeted with statins, inhibitors of cholesterol synthesis. Statins treatment attenuated protein glycosylation, cholesterol levels, and the epithelial-to-mesenchymal transition (EMT) signature in PDAC organoids. We further conducted a phase 2 clinical trial (NCT06241352) combining atorvastatin with chemotherapy in patients with advanced chemoresistant pancreatic cancer. Among 29 patients, 21 (72.4%) demonstrated a response, with tumor markers decreasing by more than 20%, suggesting durable responses and potential clinical benefits in this challenging patient population. ClinicalTrials.gov identifier: NCT06241352.

cancer biology↗

TRUHiC: A TRansformer-embedded U-2 Net to enhance Hi-C data for 3D chromatin structure characterization

High-throughput chromosome conformation capture sequencing (Hi-C) is a key technology for studying the three-dimensional (3D) structure of genomes and chromatin folding. Hi-C data reveals underlying patterns of genome organization, such as topologically associating domains (TADs) and chromatin loops, with critical roles in transcriptional regulation and disease etiology and progression. However, the sparsity of existing Hi-C data often hinders robust and reliable inference of 3D structures. Hence, we propose TRUHiC, a new computational method that leverages recent state-of-the-art deep generative modeling to augment low-resolution Hi-C data for the characterization of 3D chromatin structures. By applying TRUHiC to real low-resolution Hi-C data from the GM12329 cell line and across other publicly available Hi-C data for human and mice, we demonstrate that the augmented data significantly improve the characterization of TADs and loops across diverse cell lines and species. We further present a pre-trained TRUHiC on human lymphoblastoid cell lines that can be adaptable and transferable to improve chromatin characterization of various cell lines, tissues, and species.

bioinformatics↗

TEMI: Tissue Expansion Mass Spectrometry Imaging

The spatial distribution of diverse biomolecules in multicellular organisms is essential for their physiological functions. High-throughput in situ mapping of biomolecules is crucial for both basic and medical research, and requires high scanning speed, spatial resolution, and chemical sensitivity. Here, we developed a Tissue Expansion method compatible with matrix-assisted laser desorption/ionization Mass spectrometry Imaging (TEMI). TEMI reaches single-cell spatial resolution without sacrificing voxel throughput and enables the profiling of hundreds of biomolecules, including lipids, metabolites, peptides (proteins), and N-glycans. Using TEMI, we mapped the spatial distribution of biomolecules across various mammalian tissues and uncovered metabolic heterogeneity in tumors. TEMI can be easily adapted and broadly applied in biological and medical research, to advance spatial multi-omics profiling.

molecular biology↗

Multifunctional bending magnet beamline with a capillary optic for X-ray fluorescence studies of metals in tissue sections

Scanning fluorescence X-ray microscopy lets one non-destructively and quantitatively map the distribution of most biologically-important metals in cells and tissues. For studies on large-scale tissues and organs, a spatial resolution of several micrometers is often sufficient; in this case, bending magnets at synchrotron light sources provide abundant X-ray flux. We describe here the use of bending magnet beamline 8-BM-B at the Advanced Photon Source (APS) with two distinct microscopy stations: a pre-existing one with Kirkpatrick-Baez (KB) mirror optics for slightly higher throughput and the ability to accommodate samples tens of centimeters across, and a new prototype station with an axially-symmetric, single-bounce, capillary optic with slightly less flux, but slightly higher fluence (which affects achievable resolution at low metal concentration) and higher spatial resolution. The KB station provides{delta} res = 10.5 {micro}m spatial resolution at a per-pixel exposure time of tdwell = 100 ms and a fluence per time of 5.8x 107 photons /({micro}m2 {middle dot}s), while the prototype capillary station provides{delta} res = 6.3 {micro}m at tdwell = 50 ms and a fluence per time of 6.1x 107 photons ({micro}m2 {middle dot}s). We used image power spectral density to estimate the achieved spatial resolution{delta} res from individually acquired images, with{delta} res depending-on the optic, the fluorescence signal strength of the sample being imaged, and the method used to process raw fluorescence spectral data.

biophysics↗