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Zhou, J.

Publications and source records attributed to Zhou, J..

At least 199 records · Page 11Linked to original sources

CDK9 degradation Inhibits Gastroesophageal Cancer growth and Overcomes Radiation Resistance by Increasing Chromatin Accessibility and Downregulating YAP1/TEAD signaling

BackgroundGastroesophageal cancer (GEAC) remains a major health burden and urgently needs novel therapeutic targets. The inhibition of CDK9s activity holds the potential to be a highly effective anti-cancer therapeutic. However, the functional role of CDK9, and its potential targeting in GEAC, remain largely unknown. ObjectiveWe aim to evaluate the potential of degradation CDK9 in GEAC treatment and explore its mechanisms. DesignWe evaluated the expression and distribution of CDK9 in GEAC tissue. We designed and synthesized novel CDK9 degraders using proteolysis targeting chimeras (PROTACs) strategy and selected the promising one for further anti-tumor activity evaluation both in vitro and in vivo. We evaluated the effects of CDK9 degradation on epigenetic reactivation, gene expression and chromatin accessibility. We evaluated the co-targeting of CDK9 and YAP/Tead signaling for GEAC treatment, especially for radiation-resistant tumor treatment. ResultsWe demonstrated significantly elevated CDK9 expression in primary GEAC tumor tissues compared to normal tissues, in association with poor survival. We developed a novel CDK9 degrader, YX0597, reducing RNA Pol II Serine 2 phosphorylation, and inhibition MCL-1; this was accompanied by potent inhibition of GEAC cell growth, especially in radiation-resistant tumor cells. Mechanistically, YX0597 strongly enhanced chromatin accessibility, activating epigenetically silenced genes; and dramatically inhibited YAP/TEAD signaling. CDK9 closely interacts with YAP/TEAD signaling, and co-targeting these two mediators could be a novel treatment strategy for the treatment of GEAC. ConclusionOur studies reveal a new avenue for targeting CDK9-hyperactivated GEAC tumors, especially in combination with YAP1/TEAD inhibition in radiation-resistant GEAC tumors. What is already known on this subject?Gastroesophageal cancer (GEAC), the third-leading cause of global cancer death and urgently needs novel targeted therapies. Targeted protein degradation has emerged as an attractive strategy to fight cancer, complementing the activity of traditional small-molecule inhibitors. Cyclin-dependent kinase 9 (CDK9) has been implicated in various cancers. Recently, CDK9 degraders have now been developed for future clinical benefit in targeting tumors with highly activated CDK9. What are the new findings?In this study, we show that CDK9 expression was significantly elevated in primary GEAC tumor tissues including PDXs compared to normal tissues, in association with poor survival. We developed a novel CDK9 degrader XY0597 and proved that it inhibits the progression of GEAC by increasing chromatin accessibility and down-regulating YAP/Tead signaling. We also proved a strong connection between CDK9 and YAP/TEAD signaling and Co-targeting them synergistically inhibits GEAC tumor cell growth, especially in tumors with high YAP signaling activity, such as radiation-resistant cancer. How might it impact on clinical practice in the foreseeable future?Our data suggests that CDK9 is a viable anticancer target in GEAC. We demonstrate that a novel CDK9 degrader, YX0597, has high potential clinical application for GEAC treatment, especially in radiation-resistant cancer. We reveal the crosstalk of CDK9 and YAP/TEAD signaling, and that co-targeting these two mediators could be a new avenue for targeting CDK9-hyperactivated GEAC primary and radiation-resistant tumors.

cancer biology↗

Distinct prelimbic cortex ensembles encode response execution and inhibition

Learning when to initiate or withhold actions is essential for survival and requires integration of past experiences with new information to adapt to changing environments. While stable prelimbic cortex (PL) ensembles have been identified during reward learning, it remains unclear how they adapt when contingencies shift. Does the same ensemble adjust its activity to support behavioral suppression upon reward omission, or is a distinct ensemble recruited for this new learning? We used single-cell calcium imaging to longitudinally track PL neurons in rats across operant food reward Training, Extinction and Reinstatement, trained rat-specific decoders to predict trial-wise behavior, and implemented an in-silico deletion approach to characterize ensemble contributions to behavior. We show that operant training and extinction recruit distinct PL ensembles that encode response execution and inhibition, and that both ensembles are re-engaged and maintain their roles during Reinstatement. These findings highlight ensemble-based encoding of multiple learned associations within a region, with selective ensemble recruitment supporting behavioral flexibility under changing contingencies.

neuroscience↗

Dissecting Force Transmission across SUN Proteins Using Nuclear Tension Sensors

Forces on the linker of the nucleoskeleton and cytoskeleton (LINC) complex control nuclear mechano-sensing and mechano-adaptation. However, the force transmission dynamics across the LINC complex are not fully understood, mainly because of the lack of imaging tools. We developed a set of genetically-encoded fluorescence resonance energy transfer (FRET)-based nuclear tension sensors (NuTS) that measure tension forces across SUN1/2 proteins in living cells with high sensitivity. SUN2-based NuTS (NuTS2) responded rapidly to mechanical changes in cell contractility and matrix stiffness. Notably, NuTS2 dynamically showed force transmission with high spatiotemporal resolution during cell adhesion, migration and squeeze. We also used NuTS2 to monitor tension force changes as the notochord matures in zebrafish development. NuTS2 detected a gradient tension force that increased from the posterior tail buds to the anterior as vacuoles expanded in notochord cells. Force reduction affected notochord maturation and zebrafish embryo development. Our results provide a biophysical cue for dissecting how force transmission on SUN2 protein regulates embryo development. TeaserNuclear tension sensor (NuTS) was developed for direct force measurement across SUN proteins in living cells and zebrafish.

biophysics↗

Targeting Non-Catalytic Sites of SRC Sensitizes the Efficacy of SRC Kinase Inhibitors in Solid Tumors

The non-receptor tyrosine kinase SRC promotes the progression of hematologic malignancies and numerous solid tumors. Several SRC kinase inhibitors have been approved for the treatment of hematologic malignancies. However, drug resistance to sole ATP pocket-targeted kinase inhibition, coupled with low potency for solid tumors and insufficient selectivity, has limited the clinical application of SRC kinase inhibitors. The non-catalytic functions of kinases have provided crucial mechanisms underlying kinase inhibitor resistance, thereby presenting new opportunities for discovery SRC-targeted strategies. In this study, we discovered that upon abrogation of phosphorylation by SRC kinase inhibitors, non-catalytic SRC promotes the transcription of the oncogenes TRIB3 and SPC24 transcription by binding to their promoter sequence. Simultaneously, it interacts with TRIB3 and prevents their proteasome-mediated degradation by the E3 ligase CHIP, ultimately inducing resistance to SRC kinase inhibitors. The peptide TS1-2, blocking SRC/TRIB3 interaction in non-catalytic regions, inhibits the tumor progression of pancreatic ductal adenocarcinoma (PDAC), kidney renal clear cell carcinoma (KIRC), liver hepatocellular carcinoma (LIHC), and breast invasive carcinoma (BRCA), and enhances the efficacy of SRC kinase inhibitors in solid tumors. This study provides the insights of non-catalytic functions of SRC, validates the tumor-promoting function and mechanism of nuclear accumulation of SRC/TRIB3 following SRC kinase inhibitor treatment, identifies SRC/TRIB3 interaction as a potential non-catalytic target, and offers the candidate peptide TS1-2 as a potential combination strategy for overcoming SRC kinase inhibitor resistance. SignificanceThe scaffolding functions of SRC reduced the efficacy of SRC kinase inhibitors, and targeting SRC/TRIB3 non-catalytic functions synergizes the therapeutic effects of SRC kinase inhibitors in SRC-dependent solid tumors. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=177 SRC="FIGDIR/small/638389v2_ufig1.gif" ALT="Figure 1"> View larger version (55K): org.highwire.dtl.DTLVardef@17aa618org.highwire.dtl.DTLVardef@12e86eeorg.highwire.dtl.DTLVardef@19c8d82org.highwire.dtl.DTLVardef@10e6c46_HPS_FORMAT_FIGEXP M_FIG C_FIG SRC kinase inhibitors block myristoylation-dependent membrane location and catalytic phosphorylation of SRC. Phosphorylated SRC activates STAT1 and thereby represses TRIB3 transcription. Accumulated non-catalytic SRC promotes TRIB3, SPC24 transcription. Upregulated TIRB3 interacts with SRC to reduce CHIP-mediated ubiquitin-proteasomal degradation. The peptide TS1-2 disrupts TRIB3/SRC complex by targeting Non-kinase regions of SRC, consequently enhancing the therapeutic efficacy of SRC kinase inhibitors.

cancer biology↗

Few-shot in-context learning with large language models for antibody characterization

Large language models (LLMs) can learn new tasks by in-context learning (ICL), but it is unknown whether this ability reliably transfers to biological sequence classification. Here, we systematically evaluate how demonstration selection, shot count, and prompting strategies affect performance across 20 general-purpose LLMs. Using antibody characterization as a representative test case, we compare zero-shot, few-shot, and chain-of-thought (CoT) ICL on three classification tasks: humanness, antigen specificity, and isotype. Our results reveal a clear performance hierarchy: while zero-shot prompting performs near chance, few-shot prompting with randomly selected demonstrations improves performance, showing that LLMs can perform ICL using biological sequences from minimal supervision. However, matching protein-language model (pLM)-based classifier accuracy is only achieved when using label-diverse demonstrations drawn from antibodies similar to the query sequence. To leverage this insight, we introduce Sim-ICL, a framework that automatically retrieves such demonstrations. Using only 32-shot prompting, Sim-ICL achieves performance competitive with pLM-based classifiers, matching or outperforming them in two of the three tasks. Furthermore, reasoning-oriented prompts yield marginal gains and often produce fluent but biologically incorrect rationales, suggesting that current CoT explanations function as after-the-fact rationalizations rather than capturing mechanistic determinants of antibody properties. From these experiments, we derive practical design principles for ICL on biological sequences: use similarity-based, label-diverse demonstrations and modest shot counts, and treat reasoning prompts primarily as post hoc narratives rather than drivers of performance. Sim-ICL implements these principles in a streamlined, prompt-based framework for antibody sequence classification and, in principle, could be adapted to other biological sequence tasks.

bioinformatics↗

Divergent stem cell mechanisms governing the primary body axis and appendage regeneration in the axolotl

Exploring the fundamental mechanisms of organ regeneration is crucial for advancing regenerative medicine. The axolotl tail represents a unique opportunity to study regeneration of the primary axis including segmented muscle, vertebrae and skin. During tail development, muscle stem cells (MuSCs) displayed expected specificity to the muscle lineage. Tail amputation, however, induced expansion of MuSC potential yielding clonal contribution to muscle, connective tissue including cartilage, pericytes, and fibroblasts. This expanded potential was not observed during limb regeneration, and cross-transplantation showed these differences in potential are intrinsic. ScRNA-Seq profiling revealed that tail MuSCs revert to an embryonic mesoderm-like state. Through genetic manipulation involving the over-expression of constitutively active TGF-{beta} receptors or Smad7 (antagonist of TGF-{beta} signaling) in MuSCs, we demonstrated that the levels of TGF-{beta} signal determine the fate outcome of MuSCs to connective tissue lineage or muscle respectively. Our findings illustrate a fundamental difference between regeneration of primary axis versus limb and offers a novel stem cell source for regeneration of axial skeletal tissues.

developmental biology↗

Learning single-cell spatial context through integrated spatial multiomics with CORAL

Cellular organization is central to tissue function and homeostasis, influencing development, disease progression, and therapeutic outcomes. The emergence of spatial omics technologies, including spatial transcriptomics and proteomics, has enabled the integration of molecular and histological features within tissues. Analyzing these multimodal data presents unique challenges, including variable resolutions, imperfect tissue alignment, and limited or variable spatial coverage. To address these issues, we introduce CORAL, a probabilistic deep generative model that leverages graph attention mechanisms to learn expressive, integrated representations of multimodal spatial omics data. CORAL deconvolves low-resolution spatial data into high-resolution single-cell profiles and detects functional spatial domains. It also characterizes cell-cell interactions and elucidates disease-relevant spatial features. Validated on synthetic data and experimental datasets, including Stero-CITE-seq data from mouse thymus, and paired CODEX and Visium data from hepatocellular carcinoma, CORAL demonstrates robustness and versatility. In hepatocellular carcinoma, CORAL uncovered key immune cell subsets that drive the failure of response to immunotherapy, highlighting its potential to advance spatial single-cell analyses and accelerate translational research.

bioinformatics↗

Protein-Like Polymer for Inhibition of Tau Fibril Propagation in Human-Derived Models of Neurodegeneration

The misfolding, aggregation, and spread of tau protein fibrils underlie tauopathies, a diverse class of neurodegenerative diseases for which effective treatments remain elusive. Among these are corticobasal dementia (CBD) and progressive supranuclear palsy (PSP), canonical examples of 4-repeat (4R) tauopathies characterized by tau isoforms exclusively with four microtubule-binding repeat domains. We target this 4R tau isoform-specific mechanism by focusing on misfolded taus distinctive stem-loop-stem structural motif formed by the junction of the 4R-defining alternatively spliced exon and the adjacent constitutive exon. A synthetic peptide based on this stem-loop-stem sequence can induce aggregation and spread in an isoform-specific manner. Here, we develop a protein-like polymer (PLP) in which multiple copies of this synthetic peptide form a brush-like structure capable of preventing tau aggregation by binding and capping fibril ends in vitro, in human brain organoids, and in cellular models with an EC50 of 105 {+/-} 14 nM. PLPs demonstrate robust activity against fibrils derived from CBD and PSP patient brains and a PS19 mouse tauopathy model. Previous tau-targeted treatments have primarily focused on broad tau clearance, aggregation inhibition, or microtubule stabilization, often lacking isoform specificity and precision. In contrast, this approach targets the 4R tau isoforms unique structural motif, offering a tailored therapeutic intervention for diseases like CBD and PSP. Supported by prior studies showing blood-brain barrier penetrance and safety profiles, this tau-binding PLP offers a promising translational path toward clinical applications in tauopathy treatment.

neuroscience↗

Transferring functional chromosomes between intergeneric yeast generates monochromosomal hybrids with improved phenotypes and transcriptional responses

Interspecific genetic exchanges caused by natural hybridization or horizontal gene transfer can lead to enhanced phenotypes, which are often of interest for industrial applications and evolutionary research. However, transferring genetic materials between distantly related species, such as intergeneric yeasts, presents technical challenges. In this study, we established a method to transfer individual chromosomes from Saccharomyces cerevisiae (Sc) into Kluyveromyces marxianus (Km), an emerging model for bioproduction. The Sc chromosome of interest was circularized, genetically modified to carry Km centromeres and replication origins, and transformed into Km via protoplast transformation. Using this method, we generated two synthetic strains, each containing a full set of Km chromosomes and either Sc chromosome I or III. The Sc chromosomes exhibited normal replication, segregation, and active transcription after the transfer. The synthetic strains displayed enhanced phenotypes in flocculation and salt tolerance, which were found to be caused by transgressive expression of FLO9 and SPS22 on the transferred Sc chromosomes, respectively. Transcriptomic analysis revealed that transgressive expression was prevalent among the transferred Sc genes, suggesting evolution of lineage-specific cis- and trans-regulatory interactions across a long evolutionary timescale. Our strategy has potential applications in optimizing cell factories, constructing synthetic genomes, and advancing evolutionary research.

synthetic biology↗

Super-omics and PCAS reveal rheumatoid arthritis as a tumor-like disease

Rheumatoid arthritis (RA) is a debilitating systemic autoimmune disorder that significantly impairs quality of life. To elucidate the molecular alterations in RA progression, we performed comprehensive super-omics analyses on synovial tissues from patients with joint trauma, arthritis, and RA. These analyses included transcriptomics, proteomics, metabolomics, microbiomics, and fourteen PTMs (phosphorylation, acetylation, lactylation, O-GlcNAc glycosylation, arginine monomethylation, lysine monomethylation, lysine dimethylation, lysine trimethylation, succinylation, malonylation, glutarylation, tyrosine nitration, N-glycosylation, and O-glycosylation). Additionally, we developed a protein-centered association study (PCAS) method to integrate these complex datasets. Using this approach, we identified key proteins, such as STK17B, and its interactors, which may be crucial in RA pathogenesis. Tumor-like features, including aberrant angiogenesis and epithelial-mesenchymal transition, were observed in RA, alongside the potential involvement of oncogenes and tumor suppressor genes. Finally, we constructed a molecular interaction blueprint of RA, providing a comprehensive framework for advancing RA pathogenesis, diagnosis, and therapy.

immunology↗

Single cell resolved spatial immune repertoire unveils spatial heterogeneity of lymphoid aggregates in human immune disorders

Adaptive immunity, mediated by T and B cell responses, is essential for defending against infections and cancers while also being implicated in autoimmune diseases. Tracking T and B cell repertoires in situ at single-cell resolution is essential for understanding adaptive immune responses. To address the lack of tools for in situ single-cell T/BCR (XCR) sequencing, we developed Stereo-XCR-seq, an efficient strategy for retrieving and sequencing TCR and BCR from Stereo-seq cDNA libraries at subcellular resolution. Stereo-XCR-seq provides unbiased full-length XCR reads alongside spatial transcriptomics, enabling the identification of heterogeneous lymphoid aggregates with distinct clonal activities in cancers and inflammatory bowel disease (IBD). We identified plasma cell aggregates that differ from tertiary lymphoid structures (TLSs) in both transcriptomic profiles and clonal activities, with spatial positioning potentially mediating unique immune responses. Collectively, Stereo-XCR-seq enables in situ single-cell profiling of T and B cell clonal activities within tissue microenvironments, providing insights into lymphocyte adaption to environmental stimuli. This technology provides potential for advancing our understanding of tissue immunity and the development of therapeutic strategies for immune disorders.

immunology↗

Star-Shaped Glatiramer Acetate Mitigates Pulmonary Dysfunction and Brain Neurodegeneration in a Murine Model of Cryptococcus-Associated IRIS

Cryptococcal-associated immune reconstitution inflammatory syndrome (C-IRIS) is a clinical worsening or new presentation of cryptococcal disease following the initiation of antiretroviral therapy. C-IRIS is primarily driven by an influx of pathological CD4+ T cells, which triggers a hyperinflammatory response. The murine model of C-IRIS is a way to study the disease in mice and understand how the immune system triggers life-threatening outcomes in patients. We previously developed a murine C-IRIS model and demonstrated that C-IRIS is triggered by pathological CD4+ T cells, particularly Th1 cells, in the brain, which triggers neurodegeneration and pulmonary dysfunction. Using this unique mouse model, we tested the therapeutic effect of a star-shaped glatiramer acetate (sGA), which is a more effective isomeric form than linear GA. Here, we observed that sGA suppresses Th1 differentiation in the lung tissues, reducing CD4+ T cell and Th1 cell count. It also reduced microglia populations in the brain. Together, these changes improved respiratory dysfunction caused by C-IRIS, lowered mortality rate, and reduced brain neurodegeneration. These findings suggest that sGA could be an effective therapeutic strategy for managing C-IRIS.

immunology↗

Bacterial and host enzymes modulate the inflammatory response produced by the peptidoglycan of the Lyme disease agent

The spirochete Borrelia burgdorferi causes Lyme disease. In some patients, an excessive, dysregulated proinflammatory immune response can develop in joints leading to persistent arthritis even after antibiotic therapy. In such patients, persistence of antigenic B. burgdorferi peptidoglycan (PGBb) fragments within joint tissues may contribute to immunopathogenesis pre- and post-antibiotic treatment. In live B. burgdorferi cells, the outer membrane shields the polymeric PGBb sacculus from exposure to the immune system. However, unlike most diderm bacteria, B. burgdorferi releases PGBb turnover products into its environment due to the absence of recycling activity. In this study, we identified the released PGBb fragments using a mass spectrometry-based approach. By characterizing the L,D-carboxypeptidase activity of B. burgdorferi protein BB0605 (renamed DacA), we found that PGBb turnover largely occurs at sites of PGBb synthesis. In parallel, we demonstrated that the lytic transglycosylase activity associated with BB0259 (renamed MltS) releases PGBb fragments with 1,6-anhydro bond on their N-acetylmuramyl residues. Stimulation of human cell lines with various synthetic PGBb fragments revealed that 1,6-anhydromuramyl-containing PGBb fragments are poor inducers of a NOD2-dependent immune response relative to their hydrated counterparts found in the polymeric PGBb isolated from dead bacteria. We also showed that the activity of the human N-acetylmuramyl-L-alanine amidase PGLYRP2, which reduces the immunogenicity of PGBb material, is low in joint (synovial) fluids relative to serum. Altogether, our findings suggest that MltS activity helps B. burgdorferi evade PG-based immune detection by NOD2 during growth despite shedding PGBb fragments and that PGBb-induced immunopathology likely results from host sensing of PGBb material from dead (lysed) spirochetes. Additionally, our results suggest the possibility that natural variation in PGLYRP2 activity may contribute to differences in susceptibility to PG-induced inflammation across tissues and individuals. Author summaryDuring bacterial infection, the presence of peptidoglycan- a polymeric element of bacterial cell walls-triggers a host inflammatory response. Although generally protective during acute phases, inflammation, when chronic, can contribute to disease development. Recent work has suggested that the persistence of pro-inflammatory peptidoglycan derived from the Lyme disease spirochete Borrelia burgdorferi in joints may contribute to persistent arthritis in some patients despite appropriate antibiotic therapy. Interestingly, B. burgdorferi sheds peptidoglycan turnover products into the environment during growth. Here, we show that these shed products from live spirochetes are poor effectors of an immune response by the human NOD2 immune receptor due to the formation of an anhydro bond on the N-acetyl-muramic residue during peptidoglycan hydrolysis by a B. burgdorferi lytic transglycosylase. We also show that human N-acetylmuramyl-L-alanine amidase activity, which abrogates the NOD2-dependent response to the immunogenic peptidoglycan isolated from lysed B. burgdorferi cells, is low in human joint fluids relative to serum. Based on our findings, we propose that immunopathogenesis by peptidoglycan material more likely derives from lysed spirochetes (killed by an immune attack or antibiotics) than live ones and that the level of human peptidoglycan hydrolytic enzymes across tissues and individuals influences susceptibility to chronic inflammation.

microbiology↗

The atypical filament assembly underpins the inflammasome-independent functions of IFI16.

Inflammasomes trigger cell death upon sensing various intracellular maladies. These supra-structures relay upstream signals by sequentially assembling architecturally congruent filaments via their pyrin domains (PYDs). Interferon Inducible Protein 16 (IFI16) is an innate immune sensor that detects dysregulated nucleic acids. Once presumed as an inflammasome receptor due to its PYD, the role of IFI16 has been much more appreciated in other innate immune pathways such as regulating interferon production and viral replication restriction. Here, a cryo-EM structure of the filament assembled by the PYD of IFI16(PYD) shows a helical architecture distinct from inflammasome PYD filaments. In silico Rosetta interaction energy calculations suggest that the helical architecture of the IFI16PYD filament is incompatible with those assembled by the central inflammasome adaptor ASC and its interacting partners. Cellular experiments further support that IFI16 fails to interact with ASC. Together, we provide the structural basis for the inflammasome-independent functions of IFI16.

biophysics↗

YX0798 Is a Highly Potent, Selective, and Orally Effective CDK9 Inhibitor for Treating Aggressive Lymphoma

Non-genetic transcription evolution has been increasingly explored and recognized to drive tumor cell progression and therapeutic resistance. As the regulation hub of transcription machinery, cyclin-dependent kinase 9 (CDK9) is the gatekeeper of RNA polymerase II (Pol II) transcription, and CDK9 dysfunction results in transcriptomic reprogramming and tumor cell progression. We recently reported that the HSP90-MYC-CDK9 network drives therapeutic resistance in mantle cell lymphoma (MCL) through transcriptomic reprogramming. We also showed that targeting CDK9 by AZD4573 and enitociclib is a safe and effective treatment in preclinical MCL models, supporting CDK9 as a valid therapeutic target for MCL. However, current CDK9 inhibitors (CDK9i) under therapeutic development have room for improvement due to limited target selectivity and oral bioavailability. To this end, YX0798 was discovered to be a novel CDK9i through structural optimization. YX0798 demonstrated remarkable target selectivity and high affinity in binding to CDK9. Furthermore, YX0798 showed good oral bioavailability. YX0798, when administrated orally (5 mg/kg, daily), led to an efficacious anti-tumor activity in vivo and showed the potency in overcoming therapeutic resistance. Mechanistically, YX0798 downregulated the short-lived oncoprotein c-MYC and pro-survival protein MCL-1 as a common mechanism of CDK9 inhibition. Moreover, YX0798 disrupted the cell cycle and resulted in transcriptomic reprogramming, eventually leading to cell death. Together, these data demonstrate that YX0798 has oral bioavailability, exquisite selectivity, and anti-tumor potency that results from driving transcription reprogramming towards tumor cell killing. KEY POINTSO_LIYX0798 showed high selectivity, target binding affinity, and anti-tumor efficacy in overcoming resistance to various therapies. C_LIO_LIYX0798 had good oral pharmacokinetics and anti-tumor effects that resulted from transcription reprogramming towards tumor cell killing. C_LI

cancer biology↗

Nematode-Trapping Fungus Arthrobotrys oligospora is Hungry for COQ7 to Alleviate Environmentally Triggered Iron Overload

Choosing the right and appropriate amount of substances in a changing environment is essential for the growth and survival of all species. We found that elevated oxygen levels significantly enhanced the iron-rich trapping devices of a nematode-trapping fungus (NTF), Arthrobotrys oligospora. Interestingly, genomic analysis revealed that all NTFs lacked coq7, a key gene involved in ubiquinol (UQ) biosynthesis and iron chelation. Notably, A. oligospora utilizes UQ instead of UQ for low-aerobic respiration. Transcriptional, metabolic, mutational, and phenotypic analyses revealed that A. oligospora produces a chemotaxonomic class of highly oxygenated arthrobotrins with characteristics similar to UQ skeleton, for high-aerobic respiration. Disruption of arthrobotrin biosynthesis in the {Delta}art mutant not only enhanced UQ biosynthesis, but also triggered trapping device formation and nematicidal activity under elevated oxygen conditions. The addition of UQ to both wild-type and {Delta}art mutants strongly inhibited trapping device development. Remarkably, the iron-rich trapping devices preferentially capture N2 nematodes harboring iron-chelating COQ7 with ferritin properties. Time-calibrated evolutionary analyses, combined with geological data, indicated that the NTF ancestor lost the coq7 gene after acquiring the arthrobotrin biosynthetic gene cluster during the "superoligotrophy" period, characterized by dramatic shifts in global oxygen levels and temperature changes. Our results demonstrate that oxygen is a critical factor in inducing iron overload, highlighting the origin and role of coq7 loss in the evolution of predatory behavior of NTFs. Our finding that NTFs capture nematodes for iron chelation therapy, rather than for food, explains a long standing debate about the limited carnivorous ability of trapping devices.

microbiology↗

A General Strategy to Endow Dyes with Genic Fluorescence for Wash-Free Imaging of Proteins in Living Cells

Fluorescent dyes are the main fluorophore for protein labeling and fluorescent imaging in living cells. However, due to the inevitable nonspecific binding of the dye to non-targets within the cell, background signals are generated, which severely affect the imaging quality. Here, we endow the dye with genic fluorescence by introducing a fluorescent proteins FRET pair, such that only the dye bound to the target protein emits fluorescence ({lambda}ex = FPs, {lambda}em = Dyes), while nonspecifically bound dye remains non-fluorescent. This significantly improves the signal-to-noise ratio (SNR) in wash-free imaging. This strategy is achieved by fusing the Halo-tag to fluorescent proteins (sfGFP, mCherry) that can generate FRET with Halo dyes O-Rho and Si-Rho. The FPs serve as the donor, and the FRET mechanism imparts genic fluorescence property to O-Rho and Si-Rho. Since the excitation wavelength of the donor ({lambda}ex = FPs) cannot excite the unspecifically dye fluorescence, background fluorescence interference is reduced. We further improved the SNR by increasing the FRET efficiency between the FPs and dyes. The system was used for four-color super-resolution imaging of target proteins and dynamic SIM tracking of mitochondria. In addition, the genic FRET fluorophore constructed with the ultra-stable mStayGold showed significant photobleaching resistance and can be used for long-term dynamic super-resolution imaging. Theoretically, by selecting appropriate FRET pairs, this method can improve the SNR of any fluorophore, providing a new labeling strategy for live-cell wash-free imaging.

biochemistry↗

Phosphotyrosine Signal Profiling of Clinical CAR-T Reveals Tonic Signaling Associated with Therapeutic Efficacy

Chimeric Antigen Receptor T (CAR-T) therapies have revolutionized the treatment of cancers such as relapsed and refractory B cell malignancies. However, the precise therapeutic mechanism of CAR-T action remain to be elucidated. In this study, we systematically analyzed CAR signaling via phosphotyrosine (pTyr) proteomics in CAR-T cells from both clinical patients and healthy donors. We found that CAR-T products from clinical patients displayed heightened tyrosine phosphorylation, particularly in the JAK-STAT, MAPK and TCR signaling cascades. We also identified the significantly regulated pTyr sites in primary CAR-T cells under tonic signaling or upon stimulation by antigen-presenting CD19-K562 cells. Although both CD28{zeta} and 4-1BB{zeta} CAR-T cells exhibited comparable pTyr changes, CD28{zeta} CAR-T cells displayed a more pronounced activation in the TCR signaling pathway. Additionally, comparative analysis between clinical and primary CAR-T cells suggested that CAR-T products were subject to heightened tonic signaling, which may be related to therapeutic relapse. Our findings reveal the state of clinical CAR-T products and refine the CAR-T signal transduction network, providing comprehensive insights and informed guidance for CAR-T therapies.

immunology↗