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Yu, L.

Publications and source records attributed to Yu, L..

At least 109 records · Page 6Linked to original sources

Blocking SHP2 benefits FGFR2 inhibitor and overcomes its resistance in FGFR2-amplified gastric cancer

Fibroblast growth factor receptor 2 (FGFR2) is an important member of receptor tyrosine kinase (RTK) family. FGFR2 amplification occurs at a high frequency in gastric cancer (GC) and has been proven to be closely associated with poor prognosis and insensitivity to chemotherapy or immunotherapy. Current FGFR2-targeted therapies have limited efficacy. Hence, how to enhance efficacy and reverse resistance are urgent problems clinically. Src homology region 2-containing protein tyrosine phosphatase 2 (SHP2) serves as the shared downstream mediator of all RTKs and a prominence immunosuppressive molecule. In this study, we identified FGFR2 amplification in 6.2% (10/161) of GC samples in our center. Then we showed that dual blocking SHP2 and FGFR2 enhanced the effects of FGFR2 inhibitor (FGFR2i) in FGFR2-amplified GC both in vitro and in vivo via suppressing RAS/ERK and PI3K/AKT pathways. We further showed that it overcame FGFR2i resistance by reversing the feedback activation mediated by other RTKs and continuously suppressing FGFR2-initiated downstream pathways. Notably, SHP2 blockade could suppress PD-1 expression and promoted IFN-{gamma} secretion of CD8+ T cells, enhancing the cytotoxic functions of T cells in tumor immune microenvironment. Overall, our findings suggest that dual blocking SHP2 and FGFR2 is a compelling rationale with both targeted treatment and immune regulation for FGFR2-amplified GC. Impact statementDual blocking SHP2 and FGFR2 can not only promote the targeted tumor-killing effects and overcome FGFR2 inhibitor resistance caused by feedback activation, but also activate T cell-mediated anti-tumor immunity by inhibiting PD-1 pathway in FGFR2-amplified GC. Funding informationThis work was funded by Grants from National Natural Science Foundation of China (82403862, 82403835), Jiangsu Provincial Natural Science Foundation Youth Project (BK20230151, BK20240247), Jiangsu Provincial Major Science and Technology Program (BG2024026), the Wu Jieping Medical Foundation Special Fund for Targeted Cancer Therapy (Youth Research Project) (320.6750.2023-11-30), Jiangsu Provincial Youth Science and Technology Talent Support Project (JSTJ-2025-715) and General Project of Nanjing Health Science and Technology Development Program (YKK24084).

cancer biology↗

Enhanced immune evasion of SARS-CoV-2 KP.3.1.1 and XEC through NTD glycosylation

KP.3.1.1 has surpassed KP.3 to become the new globally dominant strain, while XEC, a recombinant variant of KS.1.1/KP.3.3, is rapidly expanding across Europe and North America. Notably, both variants carry mutations, S31del of KP.3.1.1 and T22N of XEC, that could introduce new N-linked glycans on the Spike N-terminal domain (NTD), emphasizing the urgent need to assess their potential changes in viral characteristics. Here, we found that both KP.3.1.1 and XEC maintained the high ACE2-Spike binding affinity and pseudovirus infectivity of KP.3. Importantly, compared to KP.3, KP.3.1.1, and especially XEC, could further evade the neutralizing antibodies in convalescent plasma, even those elicited by KP.2-like breakthrough infections. Interestingly, both variants demonstrated increased resistance against monoclonal neutralizing antibodies targeting various epitopes on the receptor-binding domain (RBD). These suggest that the additional NTD glycosylation of KP.3.1.1 and XEC could enhance immune evasion via allosteric effects, and supports the future prevalence of XEC.

immunology↗

Variations in the temperature dependence of photosynthesis among nine common tree species planted in Singapore

Tree planting is regarded as one of the most cost-effective ways to mitigate climate change impacts. As a part of the global tree planting movement, the tropical city-state of Singapore initiated a project to plant one million trees in 10 years. However, the environmental impacts (e.g., carbon sequestration, urban cooling) of this reforestation effort are challenging to assess as historically we lack understanding of key plant traits (i.e. photosynthetic capacity, or Vcmax) for species in tropical Asia. Here, we conducted a comprehensive survey of key photosynthetic traits of the nine most popular tree species planted in Singapore and their short-term temperature dependence. We found a three-fold inter-species variation in their photosynthetic capacities (e.g., Vcmax ranges from 20 to 60 mol m-2 s-1) as well as a large discrepancy in their temperature dependence. The photosynthesis of some species (e.g., Tembusu) is more sensitive to rising temperature than others (e.g., Mangroves) while a commonly-used photosynthesis model consistently overestimates photosynthesis but underestimates many species temperature sensitivities. The species with smaller temperature sensitivity of photosynthesis is likely related to their stronger ability to adjust leaf temperature via transpiration. Our study provides critical information on the temperature-dependence of photosynthesis of tree species in tropical Asia, which can be used to guide reforestation in Singapore and broadly in Southeast Asia.

plant biology↗

Enhanced Structural Brain Connectivity Analyses Using High Diffusion-weighting Strengths

Tractography is a unique modality for the in vivo measurement of structural connectivity, crucial for understanding brain networks and neurological conditions. With increasing b-value, the diffusion-weighting signal becomes primarily sensitive to the intra-axonal signal. However, it remains unclear how tractography is affected by this observation. Here, using open-source datasets, we showed that at high b-values, DWI reduces the uncertainty in estimating fiber orientations. Specifically, we found the ratio of biologically-meaningful longer-range connections increases, accompanied with downstream impact of redistribution of connectome and network metrics. However, when going beyond b=6000 s/mm2, the loss of SNR imposed a penalty. Lastly, we showed that the data reaches satisfactory reproducibility with b-value above 1200 s/mm2. Overall, the results suggest that using b-values above 2500 s/mm2 is essential for more accurate connectome reconstruction by reducing uncertainty in fiber orientation estimation, supporting the use of higher b-value protocols in standard diffusion MRI scans and pipelines.

neuroscience↗

Mitigating Cellular Dysfunction by Addressing Contaminants in Synthetic circRNA

Synthetic circular RNA (circRNA) shows great potential in biomedical research and therapies, but impurities introduced during its synthesis can undermine circRNA efficacy. This study investigated the immunogenic potential of byproducts generated during its production. We found that trace amounts of double-stranded RNA in high molecular weight impurities, 5 triphosphates of uncircularized RNA or small intron fragments, and hydrolyzed RNA fragments significantly impact the functionality of circRNA by activating innate immune responses through the sensory molecules involved in RNA sensing. To address this, we developed a novel multi-step purification process that employs enzymatic treatments and cellulose-based filtration to selectively remove these detrimental contaminants. This tailored approach minimizes cellular immune reactions and substantially improves circRNA yields with up to more than 10 times increase. Our findings underscore the critical impact of precise contaminant management in enhancing the expression and potential therapeutic utility of circRNA. This suggests a new direction for optimizing their production for both research and clinical applications.

bioengineering↗

Vapor pressure deficit dominates the spatiotemporal variations in ecosystem photosynthetic quantum yield

O_LIThe quantum yield () of photosynthesis represents the maximum efficiency of light use as indicated by the initial slope of photosynthetic light response curves. Understanding is crucial for accurate modeling of photosynthesis and terrestrial carbon cycle. Despite its importance, the spatial and temporal variations in at large scales remain largely elusive. C_LIO_LIWe leveraged long-term eddy-covariance observations from 90 sites globally and examined the spatiotemporal variations in due to climatic drivers, using statistical and machine learning approaches. C_LIO_LIWe found significant spatial variability in across and within biomes, primarily driven by atmospheric vapor pressure deficit and soil moisture variations. Meanwhile, the temporal changes in are mainly driven by the negative effect of vapor pressure deficit, which weakens the positive effects of elevated CO2 and leaf area index. C_LIO_LIOur results highlight the dominant role of vapor pressure deficit in controlling the spatiotemporal variations of as well as the unneglectable impacts of soil water content, CO2, and leaf area on . Those new results provide insights for improving the representation of in ecosystem photosynthesis models. C_LI

ecology↗

Glucomannan engineering highlights the role of galactosyl modification in fine-tuning cellulose-glucomannan interaction in Arabidopsis cell walls

Widely found in most plant lineages, {beta}-mannans are structurally diverse polysaccharides that can bind to cellulose fibrils to form the complex polysaccharide architecture of the cell wall. Glucomannan backbones acquire variable patterns of galactosyl substitutions, depending on plant developmental stage and species. How the changes in polysaccharide structure influence its cell wall solubility or promote appropriate interaction with cellulose fibrils is poorly understood. Here, we show that fine-tuning of galactosyl modification on glucomannans is achieved by the differing acceptor recognition of mannan -galactosyltransferases (MAGTs). Biochemical analysis and 13C solid-state nuclear magnetic resonance spectroscopy of Arabidopsis with cell wall glucomannan engineered by MAGTs revealed that the degree of galactosylation strongly affects the interaction with cellulose. The findings indicate that plants tailor galactosyl modification on glucomannans for constructing an appropriate cell wall architecture, paving the way to convert properties of lignocellulosic biomass for better use.

bioengineering↗

Cell cycle-dependent S-sulfenyl proteomics uncover a redox switch in p21-CDK feedback governing the proliferation-senescence decision

Reactive oxygen species (ROS) influence cell proliferation and fate decisions by oxidizing cysteine residues (S-sulfenylation) of proteins, but specific targets and underlying regulatory mechanisms remain poorly defined. Here, we employ redox proteomics to identify cell cycle-coordinated S-sulfenylation events and investigate their functional role in proliferation control. Although ROS levels rise during cell cycle progression, overall oxidation of the proteome remains constant with dynamic S-sulfenylation restricted to a subset of cysteines. Among these, we identify a critical redox-sensitive cysteine residue (C41) in the cyclin-dependent kinase (CDK) inhibitor p21. C41 oxidation regulates the interaction of p21 with CDK2 and CDK4, controlling a double-negative feedback loop that determines p21 stability. When C41 remains reduced, p21s half-life increases in G2 phase resulting in more p21 inheritance to daughter cells suppressing proliferation and promoting senescence after irradiation. Notably, we identify dynamic S-sulfenylation on further cell cycle regulators implying coordination of cell cycle and redox control.

cell biology↗

Auditory Cortex Learns to Discriminate Audiovisual Cues through Selective Multisensory Enhancement

Multisensory object discrimination is essential in everyday life, yet the neural mechanisms underlying this process remain unclear. In this study, we trained rats to perform a two-alternative forced-choice task using both auditory and visual cues. Our findings reveal that multisensory perceptual learning actively engages auditory cortex (AC) neurons in both visual and audiovisual processing. Importantly, many audiovisual neurons in the AC exhibited experience-dependent associations between their visual and auditory preferences, displaying a unique integration model. This model employed selective multisensory enhancement for the auditory-visual pairing guiding the contralateral choice, which correlated with improved multisensory discrimination. Furthermore, AC neurons effectively distinguished whether a preferred auditory stimulus was paired with its associated visual stimulus using this distinct integrative mechanism. Our results highlight the capability of sensory cortices to develop sophisticated integrative strategies, adapting to task demands to enhance multisensory discrimination abilities.

neuroscience↗

Sub-3 A resolution protein structure determination by single-particle cryo-EM at 100 keV

Cryo-electron microscopy (cryo-EM) has revolutionized structural biology by providing high-resolution insights into biological macromolecules. Here, we present sub-3 [A] resolution structures determined using the 100 keV Tundra cryogenic transmission electron microscope (cryo-TEM), equipped with the newly developed Falcon C direct electron detector (DED). Our results demonstrate that this lower voltage microscope, when combined with advanced electron optics and detectors, can achieve high-resolution reconstructions that were previously only attainable with higher voltage systems. The implementation of an extreme-brightness field emission gun (XFEG) and an SP-TWIN objective lens significantly enhanced the spatial and temporal coherence of the system. Furthermore, the semi-automated sample loader minimized contamination and drift, allowing extended data collection sessions without manual intervention. The high detective quantum efficiency (DQE) of Falcon C further improved the signal-to-noise ratio, which is critical for achieving high-resolution structures. We validated the performance of this microscope by determining the structures of various biological samples, including apoferritin, T20S proteasome, GABAA receptor, haemoglobin, and human transthyretin ranging in size from 440 kDa to 50 kDa. The highest resolutions achieved were 2.1 [A] for apoferritin, 2.7 [A] for the 20S proteasome, 2.8 [A] for the GABAA receptor, 5.0 [A] for haemoglobin, and 3.5 [A] for transthyretin. We also explored a larger specimen, a 3.9 MDa Adeno-associated virus (AAV9) capsid and resolved it a 2.8 [A]. This work highlights the potential of 100 keV TEMs to make high-resolution cryo-EM more accessible to the structural biology community. Furthermore, it sets a precedent for the use of lower voltage TEMs in routine cryo-EM studies, not only for screening grids for single particle analysis but also for achieving high-resolution structures of protein samples.

biophysics↗

Structural and molecular basis of the epistasis effect in enhanced affinity between SARS-CoV-2 KP.3 and ACE2

The recent emergence of SARS-CoV-2 variants KP.2 and KP.3 has been marked by mutations F456L/R346T and F456L/Q493E, respectively, which significantly impact the viruss interaction with human ACE2 and its resistance to neutralizing antibodies. KP.3, featuring F456L and Q493E, exhibits a markedly enhanced ACE2 binding affinity compared to KP.2 and the JN.1 variant due to synergistic effects between these mutations. This study elucidated the structures of KP.2 and KP.3 RBD in complex with ACE2 using cryogenic electron microscopy (Cryo-EM) and decipher the structural and thermodynamic implications of these mutations on receptor binding by molecular dynamics (MD) simulations, revealing that F456L mutation facilitates a more favorable binding environment for Q493E, leading to stronger receptor interactions which consequently enhance the potential for incorporating additional evasive mutations. These results underscore the importance of understanding mutational epistatic interactions in predicting SARS-CoV-2 evolution and optimizing vaccine updates. Continued monitoring of such epistatic effects is crucial for anticipating new dominant strains and preparing appropriate public health responses.

molecular biology↗

A single-molecule nanopore sequencing platform

Nanopore sequencing, a third-generation sequencing technology, has revolutionized the gene sequencing industry with its advantages of long reads, fast speed, real-time sequencing and analysis, and potential in detecting base modifications. This technology allows researchers to sequence longer DNA fragments in a single read, providing more comprehensive genomic information compared to previous methods. Nanopore sequencing operates on electrical signals generated by a nanopore embedded in a membrane separating two electrolyte-filled chambers. When single-stranded DNA (ssDNA) passes through the nanopore, it creates variations in the current that correspond to different DNA bases. By analyzing these current fluctuations with machine learning algorithms, the DNA sequence can be determined. In this study, we introduced several improvements to nanopore sequencing, including nanopore local chemistry sequencing, novel motor and pore proteins, chip design, and basecalling algorithms. Our new nanopore sequencing platform, CycloneSEQ, demonstrated long-duration sequencing (107 hours) on a single chip with high yield (>50 Gb). In human genomic DNA sequencing, CycloneSEQ was able to produce long reads with N50 33.6 kb and modal identity 97.0%. Preliminary findings on human whole-genome de novo assembly, variant calling, metagenomics sequencing, and single-cell RNA sequencing have further highlighted CycloneSEQs potential across different areas of genomics.

genomics↗

Spatial mapping of immunosuppressive cancer-associated fibroblast gene signatures in H&E-stained images using additive multiple instance learning

The relative abundance of cancer-associated fibroblast (CAF) subtypes influences a tumors response to treatment, especially immunotherapy. However, the extent to which the underlying tumor composition associates with CAF subtype-specific gene expression is unclear. Here, we describe an interpretable machine learning (ML) approach, additive multiple instance learning (aMIL), to predict bulk gene expression signatures from H&E-stained whole slide images (WSI), focusing on an immunosuppressive LRRC15+ CAF-enriched TGF{beta}-CAF signature. aMIL models accurately predicted TGF{beta}-CAF across various cancer types. Tissue regions contributing most highly to slide-level predictions of TGF{beta}-CAF were evaluated by ML models characterizing spatial distributions of diverse cell and tissue types, stromal subtypes, and nuclear morphology. In breast cancer, regions contributing most to TGF{beta}-CAF-high predictions ("excitatory") were localized to cancer stroma with high fibroblast density and mature collagen fibers. Regions contributing most to TGF{beta}-CAF-low predictions ("inhibitory") were localized to cancer epithelium and densely inflamed stroma. Fibroblast and lymphocyte nuclear morphology also differed between excitatory and inhibitory regions. Thus, aMIL enables a data-driven link between tissue phenotype and transcription, offering biological interpretability beyond typical black-box models.

cancer biology↗

RIPK4 driven by TP53 mutations promotes resistance to redox stress of CRC by phosphorylating MTHFD1

This study investigates advanced colorectal cancer (CRC), focusing on its tendency for distant metastasis and chemotherapy resistance. It highlights the importance of PANoptosis, a cell death pathway, and the role of the Receptor-interacting serine/threonine-protein kinase (RIPK) family in tumor progression. RIPK4s tissue-specific functions in cancer cell behavior are emphasized, including its influence on invasion, migration, and oxidative stress resistance. The study reveals the critical balance of reactive oxygen species (ROS) in cancer cells, linked to antioxidant defenses and NADPH production for survival. A key finding is the connection between TP53 mutations in CRC and increased RIPK4 expression, which enhances MTHFD1 phosphorylation, boosts NADPH production, reduces ROS, and promotes resistance to PANoptosis, leading to metastasis. The research identifies the molecular basis of CRC metastasis, showing how RIPK4 regulates MTHFD1 to resist PANoptosis, offering new therapeutic targets for metastatic CRC and potential improvements in patient outcomes.

molecular biology↗

Dysregulation of cholesterol and bile acid homeostasis across the gut-liver axis following Cryptosporidium intestinal infection

Cryptosporidium spp., an apicomplexan protozoan, is one of the most common pathogens causing moderate-to-severe diarrhea in children under 2 years of age and is also an important opportunistic pathogen for patients with AIDS. There are currently no effective vaccines or therapies available. Infection in children is associated with malnutrition, growth defects, and even impaired cognitive development, but underlying mechanisms remain unclear. We report here that C. parvum infection in neonatal mice impairs bile acid reabsorption in the ileum, disrupts lipid metabolism in the liver, and alters bile acid homeostasis in the enterohepatic circulation. The reduction of bile acid pool further impairs lipid absorption in the small intestine. Additionally, replenishing bile prevents the decline in lipid absorption in infected neonatal mice. Strikingly, bile gavage significantly reduces the infection burden and ameliorates the dysregulated homeostasis of cell proliferation and migration in intestinal epithelium following infection. These findings may guide novel therapeutic approaches for cryptosporidiosis.

microbiology↗

Protein degradation shapes developmental tempo in mouse and human neural progenitors

The pace of embryonic development differs markedly across mammalian species, yet the molecular mechanisms underlying these tempo differences remain largely unknown. Here, we systematically compared protein dynamics in mouse and human neural progenitors (NPs) and examined how protein stability influences developmental timing. We find that mouse NPs exhibit faster protein production and degradation than human NPs. Human NPs display broadly increased protein half-lives, independent of cellular compartment or protein function, and this difference persists in post-mitotic neurons. Consistent with this, proteasomal activity is lower in human embryonic spinal cord and stem cell-derived neural progenitors than mouse, correlating with reduced expression of proteasome-associated proteins. Functionally, accelerating the degradation of the key transcriptional repressor IRX3 in mouse NPs speeds the activation of its target gene, providing causal evidence that protein turnover modulates developmental tempo. These results reveal that species-specific regulation of protein degradation shapes the timing of neural development and suggest that evolutionary tuning of proteasomal activity contributes to differences in embryonic developmental pace.

developmental biology↗

Non-destructive in situ monitoring of structural changes of 3D tumor spheroids during the formation, migration, and fusion process

For traditional laboratory microscopy observation, the multi-dimensional, real-time, in situ observation of three-dimensional (3D) tumor spheroids has always been the pain point in cell spheroid observation. In this study, we designed a side-view observation petri dish/device that reflects light, enabling in situ observation of the 3D morphology of cell spheroids using conventional inverted laboratory microscopes. We used a 3D-printed handle and frame to support a first surface mirror, positioning the device within a cell culture petri dish to image cell spheroid samples. The imaging conditions, such as the distance between the mirror and the 3D spheroids, the light source, and the impact of the culture medium, were systematically studied to validate the in-situ side-view observation. The results proved that placing the surface mirror adjacent to the spheroids enables non-destructive in situ real-time tracking of tumor spheroid formation, migration, and fusion dynamics. The correlation between spheroid thickness and dark core appearance under light microscopy and the therapeutic effects of chemotherapy doxorubicin and Natural Killer cells on spheroidss 3D structure was investigated.

cancer biology↗

Dual inhibition of ATR and DNA-PKcs radiosensitizes ATM-mutant prostate cancer

In advanced castration resistant prostate cancer (CRPC), mutations in the DNA damage response (DDR) gene ataxia telangiectasia mutated (ATM) are common. While poly(ADP-ribose) polymerase inhibitors are approved in this context, their clinical efficacy remains limited. Thus, there is a compelling need to identify alternative therapeutic avenues for ATM mutant prostate cancer patients. Here, we generated matched ATM-proficient and ATM-deficient CRPC lines to elucidate the impact of ATM loss on DDR in response to DNA damage via irradiation. Through unbiased phosphoproteomic screening, we unveiled that ATM-deficient CRPC lines maintain dependence on downstream ATM targets through activation of ATR and DNA-PKcs kinases. Dual inhibition of ATR and DNA-PKcs effectively inhibited downstream {gamma}H2AX foci formation in response to irradiation and radiosensitized ATM-deficient lines to a greater extent than either ATM-proficient controls or single drug treatment. Further, dual inhibition abrogated residual downstream ATM pathway signaling and impaired replication fork dynamics. To circumvent potential toxicity, we leveraged the RUVBL1/2 ATPase inhibitor Compound B, which leads to the degradation of both ATR and DNA-PKcs kinases. Compound B effectively radiosensitized ATM-deficient CRPC in vitro and in vivo, and impacted replication fork dynamics. Overall, dual targeting of both ATR and DNA-PKcs is necessary to block DDR in ATM-deficient CRPC, and Compound B could be utilized as a novel therapy in combination with irradiation in these patients. Graphical AbstractFigure created with BioRender.com O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=99 SRC="FIGDIR/small/602941v1_ufig1.gif" ALT="Figure 1"> View larger version (23K): org.highwire.dtl.DTLVardef@1ac5e8borg.highwire.dtl.DTLVardef@173122dorg.highwire.dtl.DTLVardef@1ae86a5org.highwire.dtl.DTLVardef@109f4f1_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFigure 1C_FLOATNO C_FIG

cancer biology↗