Biology subjects

Lyu, Z.

Publications and source records attributed to Lyu, Z..

At least 19 recordsLinked to original sources

bioRxiv2026

N-terminal Trimming Supports Proteostasis Under Secretory Protein Mislocalization Stress

Secretory proteins that fail to enter the endoplasmic reticulum (ER) are mislocalized to the cytosol, where they threaten cellular proteostasis. How cells manage these mislocalized proteins remains poorly understood. Here, we show that inefficient Sec61 translocon activity induces a transcriptional stress response, which is enhanced by blocking NRF-1-dependent adaptation of proteasomal capacity. To maintain proteasomal capacity, thermodynamically stable mislocalized proteins persist in the cytosol of HepG2 and HEK293T cells, while mislocalized proteins that are inherently more aggregation-prone are preferentially ubiquitinated and degraded. This triaging process is accomplished through N-terminal trimming of the signal sequence of thermodynamically stable proteins, which simultaneously reduces their aggregation and prevents proteasomal degradation. These findings reveal a stability-dependent cytosolic triaging mechanism that matches substrate burden to proteasome capacity when ER import is challenged.

cell biology↗

bioRxiv2026

Poor foam stability in gluten-free beers is associated with distinct protein composition compared with barley-malt beers

Why was the work done?: Gluten-free (GF) beers typically exhibit poorer foam stability than conventional barley malt-based beers, yet the molecular basis underlying this difference remains poorly understood. This study aimed to investigate protein-level factors associated with foam stability in GF and barley beers. How was the work done?: Three commercially produced GF beers, comprising two lagers brewed from rice or sorghum, and one pale ale brewed from a millet-buckwheat-rice blend, were compared with two commercially produced barley-malt beers, comprising a lager and a pale ale. Soluble protein was isolated from freeze-dried beer powder using TCA-acetone. Protein profiles were examined using SDS-PAGE, and proteomes were characterised and compared using label-free quantitative LC-MS/MS. What are the main findings?: GF beers showed lower soluble protein concentrations and significantly lower foam stability than the barley beers. SDS-PAGE revealed fewer and weaker protein bands in GF beers compared with barley beers. Proteomic analysis showed that barley beers were enriched in known foam-active proteins, particularly lipid transfer protein 1 (LTP1) and Protein Z (serpin family members), whereas these proteins were not detected or were detected only at very low levels in GF beers.

biochemistry↗

bioRxiv2026

RAP2.3 is required for MYB51 and SIGMA3 expression during the response of Arabidopsis thaliana to multifactorial stress combination

In nature, plants are subjected to multiple environmental stress factors simultaneously or sequentially. Recent studies revealed that when three or more stress factors impact a plant simultaneously (termed multifactorial stress combination; MFSC), plant survival declines, even if the intensity of each individual stress involved in the MFSC is low. We previously identified RAP2.3 as a key transcription factor (TF) required for Arabidopsis thaliana survival, specifically under a MFSC of salt+excess light+heat stress (i.e., S+EL+HS). Here we report that RAP2.3 is required for the expression of SIGMA3, a nuclear-encoded factor that directs plastid RNA polymerase to specific plastid promoters, and MYB51, a key stress response TF involved in glucosinolate metabolism and oxidative stress responses, specifically during a MFSC of S+EL+HS. Like rap2.3 mutants, myb51 and sig3 mutants display significantly low survival rate specifically under the MFSC of S+EL+HS. Based on MYB51 gene regulatory network analysis and characterization of jasmonic acid (JA) mutants, we further reveal that suppression of JA signaling could play an important role in promoting plant survival under conditions of S+EL+HS. Our findings uncover an additional layer of the response of plants to MFSC, as well as identify potential targets for breeding crops with enhanced tolerance to climate change.

plant biology↗

bioRxiv2026

CXCL-CXCR2 signaling drives cancer-endothelium interactions in SCLC metastatic seeding

Small cell lung cancer (SCLC) is a highly metastatic malignancy with tropism to the liver, yet the signals that enable organ-specific metastatic colonization remain largely undefined. During metastasis, disseminated cancer cells first encounter endothelial cells (ECs) at the vascular-tissue interface, positioning cancer-endothelium crosstalk as a key determinant of metastatic success. Defining the signaling pathways underlying this reciprocal communication may uncover actionable vulnerabilities for preventing and treating this lethal disease. Here, we uncover an EC-derived CXCL chemokine program that activates cancer-intrinsic CXCR2-RAC1 signaling as a critical mediator of SCLC liver metastasis. By integrating in vitro and in vivo models, we show that SCLC cells induce robust CXCL chemokine expression from liver ECs, which in turn enhances SCLC migration and reinforces cancer cell-EC interactions. We applied highly quantitative metastatic colony barcode sequencing coupled with individual gene inactivation to demonstrate that CXCR2 is essential for SCLC migration and liver metastatic seeding. Mechanistically, CXCL-CXCR2 signaling activates RAC1-dependent F-actin assembling to drive SCLC motility during CXCL-induced metastatic seeding. Pharmacologic inhibition of CXCR2 or RAC1 suppresses SCLC migration and prevents SCLC liver metastasis. Together, our research defined a chemokine-driven signaling circuit that governs cancer-endothelium communication during the metastatic cascade and nominate the CXCL-CXCR2-RAC1 axis as a promising therapeutic vulnerability for preventing and treating metastatic SCLC.

cancer biology↗

bioRxiv2026

Stochastic Mechanism of Dominant Follicle Selection: Selection of One Suppresses Selection of Others

One of the most critical steps in human reproduction is the selection of the dominant follicle when a single follicle is chosen from a large group of follicles to ovulate. Although this process involves complex hormonal regulation, the complete microscopic picture of unique selectivity remains unclear. We propose a novel stochastic mechanism for dominant follicle selection that incorporates the actions of the most relevant hormones, follicle-stimulating hormone (FSH) and estradiol. Our theoretical picture suggests the following sequence of events. As soon as the FSH concentration reaches the critical threshold, one of the available follicles is randomly selected, which immediately stimulates the production of estradiol, which, via a negative feedback mechanism, suppresses further FSH production, lowering its concentration below the critical threshold. This suppression limits the time window for the possible second follicle selection event, allowing only a single follicle to be selected. Based on this picture, a minimal quantitative theoretical model of dominant follicle selection is developed and analyzed using analytical calculations and computer simulations. Theoretical analysis shows how the interplay between different parameters that govern follicle selection leads to high selectivity. Our theoretical approach can explain some key known observations, providing a quantitative tool for analyzing biological reproduction phenomena.

biophysics↗

bioRxiv2025

Enhanced cell aggregation in the Chlamydomonas reinhardtii rbo1 mutant in response to multifactorial stress combination

Global change factors associated with climate change and increased pollution are subjecting plants, microbes, and different ecosystems to conditions of multifactorial stress combination (MFSC). While recent studies centered on the effects of MFSC on different plants and ecosystems, much less is known about how these conditions impact unicellular organisms. Here, we report on the physiological and proteomic responses of wild type and respiratory burst oxidase homolog 1 (rbo1) mutant cells of Chlamydomonas reinhardtii to a MFSC of 5 different abiotic stresses. While several similarities were found between plant and C. reinhardtii responses to MFSC, our work revealed that MFSC induces aggregation in the unicellular organism C. reinhardtii. We further show that MFSC induced aggregation is enhanced in the rbo1 mutant and can be triggered by H2O2. As aggregation typically leads to reduced growth, respiration and/or photosynthesis, enhanced aggregation of unicellular organisms in different ecosystems subjected to MFSC could explain part of the negative impacts of MFSC on the services they provide. Our findings shed new light on the response of unicellular organisms to MFSC and suggest that one of the main drivers leading to multicellularity during evolution was early conditions of MFSC under an oxygenated environment.

plant biology↗

bioRxiv2025

Scaling Large Language Models for Next-Generation Single-Cell Analysis

AO_SCPLOWBSTRACTC_SCPLOWSingle-cell RNA sequencing has transformed our understanding of cellular diversity, yet current single-cell foundation models (scFMs) remain limited in their scalability, flexibility across diverse tasks, and ability to natively integrate textual information. In this work, we build upon the Cell2Sentence (C2S) framework, which represents scRNA-seq profiles as textual "cell sentences," to train Large Language Models (LLMs) on a corpus comprising over one billion tokens of transcriptomic data, biological text, and metadata. Scaling the model to 27 billion parameters yields consistent improvements in predictive and generative capabilities and supports advanced downstream tasks that require synthesis of information across multi-cellular contexts. Targeted fine-tuning with modern reinforcement learning techniques produces strong performance in perturbation response prediction, natural language interpretation, and complex biological reasoning. This predictive strength enabled a dual-context virtual screen that nominated the kinase inhibitor silmitasertib (CX-4945) as a candidate for context-selective upregulation of antigen presentation. Experimental assessment in human cell models unseen during training supported this prediction, demonstrating that C2S-Scale can effectively guide the discovery of context-conditioned biology. C2S-Scale unifies transcriptomic and textual data at unprecedented scales, surpassing both specialized single-cell models and general-purpose LLMs to provide a platform for next-generation single-cell analysis and the development of "virtual cells."

bioinformatics↗

bioRxiv2025

An HIV-1 Reference Epitranscriptome

Post-transcriptional modifications to RNA, which comprise the epitranscriptome, play important roles in RNA metabolism, gene regulation, and human disease, including viral pathogenesis. Modifications to the RNA viral genome and transcripts of human immunodeficiency virus 1 (HIV-1) have been reported and investigated in the context of virus and host biology. However, the diversity of experimental approaches used has made clear correlations across studies, as well as the significance of the HIV-1 epitranscriptome in biology and disease, difficult to assess. Therefore, we established a reference HIV-1 epitranscriptome. We sequenced the model NL4-3 HIV-1 genome from infected primary CD4+ T cells and the Jurkat cell line using the latest nanopore chemistry, optimized RNA preparation methods, and the most current and readily available base-calling algorithms. A highly reproducible sense and a preliminary antisense HIV-1 epitranscriptome were created, where N6-methyladenosine (m6A), 5-methylcytosine (m5C), pseudouridine (psi), inosine, and 2-O-methyl (Nm) modifications could be identified by rapid multiplexed base-calling. We observed that sequence and neighboring modification contexts induced modification miscalling, which could be corrected with synthetic HIV-1 RNA fragments. We validated m6A modification sites with STM2457, a small molecule inhibitor of methyltransferase-like 3 (METTL3). We find that modifications are quite stable under combination antiretroviral therapy (cART) treatment, in primary CD4+ T cells, and in HIV-1 virions. Sequencing samples from people living with HIV (PLWH) revealed conservation of m6A modifications. However, analysis of spliced transcript variants suggests transcript-dependent modification levels. Our approach and reference data offer a straightforward benchmark that can be adopted to help advance rigor, reproducibility, and uniformity across HIV-1 epitranscriptomics studies. They also provide a roadmap for the creation of reference epitranscriptomes for many other viruses or pathogens.

genetics↗

bioRxiv2024

Structural Basis for the Activation of Proteinase-Activated Receptors (PARs) by Endogenous Ligands

The proteinase-activated receptor (PAR) subfamily of G protein-coupled receptors (GPCRs) include four members, PAR1-PAR4, that play critical roles in hemostasis, thrombosis, embryonic development, wound healing, inflammation, and cancer progression. The PARs share a unique activation mechanism driven by proteinase cleavage at a specific site within the extracellular amino-terminus, exposing a tethered ligand that self-activates the receptor. Subsequent activation allows PAR family members to initiate complex intracellular signaling networks via traditional G protein-mediated pathways and beta-arrestin signaling and, in this way, the PARs link extracellular protease signaling molecules to cellular functions. Despite a primary reliance on biochemical studies for understanding tethered ligand recognition, direct structural visualization of these ligand-receptor complexes has been elusive. Here, we present structural snapshots of activated PAR1 and PAR2 bound to their endogenous tethered ligands, revealing, for the first time, shallow and constricted orthosteric binding pockets and highlighting critical residues involved in ligand recognition and receptor activation. Surprisingly, comparisons with antagonist-bound structures show minimal conformational changes in the TM6 helix, a typical signature of GPCR activation, with large movements of TM7 observed upon activation. These insights lead to the identification of a common mechanism for PAR1 and PAR2 activation and provide a structural template for designing novel antagonists targeting the orthosteric binding site, potentially opening new avenues for therapeutic interventions.

biochemistry↗

bioRxiv2024

FtsN coordinates septal peptidoglycan synthesis and degradation through self-interaction of SPOR in E. coli

The E. coli cell division protein FtsN was proposed to coordinate septal peptidoglycan (sPG) synthesis and degradation to ensure robust cell wall constriction without lethal lesions. Although the precise mechanism remains unclear, previous work highlights the importance of two FtsN domains: the E domain, which interacts with and activates the sPG synthesis complex FtsWIQLB, and the SPOR domain, which binds to denuded glycan (dnG) strands, key intermediates in sPG degradation. Here, we used single-molecule tracking of FtsN and FtsW (a proxy for the sPG synthesis complex FtsWIQLB) to investigate how FtsN coordinates the two opposing processes. We observed dynamic behaviors indicating that FtsNs SPOR domain binds to dnGs cooperatively, which both sequesters the sPG synthesis complex on dnG (termed as the dnG-track) and protects dnGs from degradation by lytic transglycosylases (LTs). The release of the SPOR domain from dnGs leads to activating the sPG synthesis complex on the sPG-track and simultaneously exposing those same dnGs to degradation. Furthermore, FtsNs SPOR domain self-interacts and facilitates the formation of a multimeric sPG synthesis complex on both tracks. The cooperative self-interaction of the SPOR domain creates a sensitive switch to regulate the partitioning of FtsN between the dnG- and sPG-tracks, thereby controlling the balance between sequestered and active populations of the sPG synthesis complex. As such, FtsN coordinates sPG synthesis and degradation in space and time.

microbiology↗

bioRxiv2024

Salmonella Typhimurium infection inhibits macrophage IFNbeta signaling in a TLR4-dependent manner

Type I Interferons (IFNs) generally have a protective role during viral infections, but their function during bacterial infections is dependent on the bacterial species. Legionella pneumophila, Shigella sonnei and Mycobacterium tuberculosis can inhibit type I IFN signaling. Here we examined the role of type I IFN, specifically IFN{beta}, in the context of Salmonella enterica serovar Typhimurium (STm) macrophage infections and the capacity of STm to inhibit type I IFN signaling. We demonstrate that IFN{beta} has no effect on the intracellular growth of STm in infected bone marrow derived macrophages (BMDMs) derived from C57BL/6 mice. STm infection inhibits IFN{beta} signaling but not IFN{gamma} signaling in a murine macrophage cell line. We show that this inhibition is independent of the type III and type VI secretion systems expressed by STm and is also independent of bacterial phagocytosis. The inhibition is Toll-like receptor 4 (TLR4)-dependent as the TLR4 ligand, lipopolysaccharide (LPS), alone is sufficient to inhibit IFN{beta}-mediated signaling and STm-infected, TLR4-deficient BMDMs do not exhibit inhibited IFN{beta} signaling. In summary, we show that macrophages exposed to STm have reduced IFN{beta} signaling via crosstalk with TLR4 signaling, and that IFN{beta} signaling does not affect cell autonomous host defense against STm.

microbiology↗

bioRxiv2024

FtsZ-mediated spatial-temporal control over septal cell wall synthesis

FtsZ, the tubulin-like GTPase, is the central organizer of the bacterial divisome, a macromolecular complex that synthesizes new septal cell wall and degrades old septal cell wall (made of septal peptidoglycan, sPG) to allow cell wall constriction and cytokinesis. In E. coli, it is well accepted that 1) FtsZ recruits all essential divisome proteins to the septum, including the core sPG synthase complex, FtsWI/QLB and its activator, FtsN; 2) FtsWI/QLB must complex with FtsN to produce sPG under the wild-type background; and 3) the Brownian ratcheting by treadmilling FtsZ polymers drives the directional movements of sPG synthase proteins along the septum circumference; and 4) FtsZ is essential for the early stage, but dispensable for the late stage of cell wall constriction. However, it remains unclear how FtsZ spatial-temporally organizes the divisome for robust bacterial cytokinesis throughout cell wall constriction process. Combining theoretical modeling with experiments in E. coli, we show that at the early stage during cell division, the Brownian ratcheting by FtsZ treadmilling acts both as a template to corral FtsWI/QLB and FtsN into close contacts for FtsWI/QLB-FtsN complex formation and as a conveyor to maximally homologize the septal distribution of sPG synthesis activities to avoid uneven cell wall constriction. When the septum constricts progressively, the FtsN septal density increases via binding to denuded sPG; consequently, the denuded PG-bound FtsN serves as the template to activate FtsWI/QLB for continued sPG synthesis, rendering FtsZ dispensable. Our work establishes an overarching framework that FtsZ spatial-temporally controls over septal cell wall constriction. SignificanceBacteria utilize FtsZ, the tubulin-like GTPase, to organize cell wall enzymes during cell division. FtsZ forms treadmilling polymers along the septum circumference and drives the directional movement of cell wall enzymes for robust cell wall constriction. How this role is achieved is unclear. We show that FtsZ treadmilling acts both as a template to corral cell wall enzymes into close contacts for priming and as a conveyor to homologize the septal distribution of cell wall synthesis activities for even septum constriction. These roles evolve at different stages of cell division and are modulated differentially by different bacteria; they likely define an overarching principle for robust cell division across the microbial world.

biophysics↗

bioRxiv2024

Deficiency in ribosome biogenesis causes streptomycin resistance and impairs motility in Salmonella

The ribosome is the central hub for protein synthesis and the target of many antibiotics. Whereas the majority of ribosome-targeting antibiotics inhibit protein synthesis and are bacteriostatic, aminoglycosides promote protein mistranslation and are bactericidal. Understanding the resistance mechanisms of bacteria against aminoglycosides is not only vital for improving the efficacy of this critically important group of antibiotics but also crucial for studying the molecular basis of translational fidelity. In this work, we analyzed Salmonella mutants evolved in the presence of the aminoglycoside streptomycin (Str) and identified a novel gene rimP to be involved in Str resistance. RimP is a ribosome assembly factor critical for the maturation of the 30S small subunit that binds Str. Deficiency in RimP increases resistance against Str and facilitates the development of even higher resistance. Deleting rimP decreases mistranslation and cellular uptake of Str, and further impairs flagellar motility. Our work thus highlights a previously unknown mechanism of aminoglycoside resistance via defective ribosome assembly.

microbiology↗

bioRxiv2023

BBQ methods: Streamlined workflows for Bacterial Burden Quantification in infected cells by confocal microscopy

Accurate quantification of bacterial burden within macrophages, termed Bacterial Burden Quantification (BBQ), is crucial for understanding host-pathogen interactions. Various methods have been employed, each with strengths and weaknesses. This article addresses limitations in existing techniques and introduces two novel automated methods for BBQ within macrophages based on confocal microscopy data analysis. The first method refines total fluorescence quantification by incorporating filtering steps to exclude uninfected cells, while the second method calculates total bacterial volume per cell to mitigate potential biases in fluorescence-based readouts. These workflows utilize PyImageJ and Cellpose software, providing reliable, unbiased, and rapid quantification of bacterial load. The proposed workflows were validated using Salmonella enterica serovar Typhimurium and Mycobacterium tuberculosis models, demonstrating their effectiveness in accurately assessing bacterial burden. These automated workflows offer valuable tools for studying bacterial interactions within host cells and provide insights for various research applications.

cell biology↗

bioRxiv2023

Integrative phenotypic-transcriptomic analysis of soybean plants subjected to multifactorial stress combination

Global warming, climate change, and industrial pollution are altering our environment subjecting crops to an increasing number and complexity of abiotic stress conditions, concurrently or sequentially. Recent studies revealed that a combination of 3 or more stresses simultaneously impacting a plant (termed multifactorial stress combination; MFSC) can cause a drastic decline in plant growth and survival, even if the level of each stress involved in the MFSC has a negligible effect on plants. However, the impacts of MFSC on crops are largely unknown. We subjected soybean plants to a MFSC of up to five different stresses (water deficit, salinity, low phosphate, acidity, and cadmium), in an increasing level of complexity, and conducted integrative transcriptomic-phenotypic analysis of reproductive and vegetative tissues. We reveal that MFSC has a negative cumulative effect on soybean yield, that each set of MFSC condition elicits a unique transcriptomic response (that is different between flowers and leaves), and that selected genes expressed in leaves or flowers are linked to the effects of MFSC on different vegetative, physiological, and/or reproductive parameters. We further reveal that the transcriptomic response of soybean and Arabidopsis to MFSC shares common features associated with reactive oxygen and iron/copper signaling/metabolism. Our study provides unique phenotypic and transcriptomic datasets for dissecting the mechanistic effects of MFSC on the vegetative, physiological, and reproductive processes of a crop plant.

plant biology↗

bioRxiv2023

Quantitative Measurement of Secretory Protein Mistargeting by Proximity Labeling and Parallel Reaction Monitoring

Proximity labeling is a powerful approach for characterizing subcellular proteomes. We recently demonstrated that proximity labeling can be used to identify mistrafficking of secretory proteins, such as occurs during pre-emptive quality control (pre-QC) following endoplasmic reticulum (ER) stress. This assay depends on protein quantification by immunoblotting and densitometry, which is only semi-quantitative and suffers from poor sensitivity. Here, we integrate parallel reaction monitoring mass spectrometry to enable a more quantitative platform for ER import. PRM as opposed to densitometry improves quantification of transthyretin mistargeting while also achieving at least a ten-fold gain in sensitivity. The multiplexing of PRM also enabled us to evaluate a series of normalization approaches, revealing that normalization to auto-labeled APEX2 peroxidase is necessary to account for drug treatment-dependent changes in labeling efficiency. We apply this approach to systematically characterize the relationship between chemical ER stressors and ER pre-QC induction in HEK293T cells. Using dual-FLAG-tagged transthyretin (FLAGTTR) as a model secretory protein, we find that Brefeldin A treatment as well as ER calcium depletion cause pre-QC, while tunicamycin and dithiothreitol do not, indicating ER stress alone is not sufficient. This finding contrasts with the canonical model of pre-QC induction, and establishes the utility of our platform. TOC graph O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=107 SRC="FIGDIR/small/549095v1_ufig1.gif" ALT="Figure 1"> View larger version (35K): org.highwire.dtl.DTLVardef@bfbce5org.highwire.dtl.DTLVardef@a65f3org.highwire.dtl.DTLVardef@ab5c8corg.highwire.dtl.DTLVardef@48f1d3_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

bioRxiv2022

Genome-wide screening reveals metabolic regulation of translational fidelity

Translational quality control is critical for maintaining the accuracy of protein synthesis in all domains of life. Mutations in aminoacyl-tRNA synthetases and the ribosome are known to affect translational fidelity and alter fitness, viability, stress responses, neuron function, and life span. In this study, we used a high-throughput fluorescence-based assay to screen a knock-out library of Escherichia coli and identified 30 nonessential genes that are critical for maintaining the fidelity of stop-codon readthrough. Most of these identified genes have not been shown to affect translational fidelity previously. Intriguingly, we show that several genes controlling metabolism, including cyaA and guaA, unexpectedly enhance stop-codon readthrough. CyaA and GuaA catalyze the synthesis of cyclic adenosine monophosphate (cAMP) and guanosine monophosphate (GMP), respectively. Both CyaA and GuaA increase the expression of ribosomes and tRNAs, allowing aminoacyl-tRNAs to compete with release factors and suppress stop codons. In addition, the effect of guaA deletion on stop-codon readthrough is abolished by deleting prfC, which encodes release factor 3 (RF3). Our results suggest that nucleotide and carbon metabolism is tightly coupled with translational fidelity.

genetics↗

bioRxiv2022

Steric-free bioorthogonal profiling of cellular acetylation and glycosylation via a fluorine-selenol displacement reaction (FSeDR)

Global detection and identification of protein post-translational modification (PTM) is a major bottleneck due to its dynamic property and rather low abundance. Tremendous efforts have been since made to develop antibody-based immunoaffinity enrichment or bioorthogonal chemistry-based chemical reporter approach but both suffer from inherent limitations. Following our previously reported steric-free tagging strategy, we hereby report the invention of selenol as a new generation of fluorine-displacement probe. The fluorine-selenol based displacement reaction enabled us to efficiently label and image acetylation and glycosylation at cellular level. We further pursued FSeDR in tandem with SILAC based quantitative proteomics to globally profile acetylation substrate proteins in a representative prostate cancer cell line PC3. Our results unraveled the fluorine-based toolbox for powerful chemical biology probing and allow for the future study of PTMs in a systemic manner.

cell biology↗