Biology subjects

Deng, D.

Publications and source records attributed to Deng, D..

At least 19 recordsLinked to original sources

bioRxiv2026

TangentXY: Improved copy-number estimation of sex chromosomes reveals features associated with aneuploidies in chromosomes X and Y across cancers

Signal-to-noise ratios in copy-number estimates across genomic loci improve with the use of large panels of germline reference data. However, in the case of sex chromosomes, germline samples differ between males and females (males have one X chromosome (chrX) and one Y chromosome (chrY), while females have two chrXs), limiting the size of the reference sets to those that match the sex of the index sample. Frequent mosaic loss of chrY in normal male tissue also leads to biases when not accounted for. Here we report TangentXY, a copy-number normalization method that uses both male and female reference samples, correcting for sex differences in chrX and accounting for chrY mosaicism, to assess sex chromosome copy numbers for samples of either sex. We show that TangentXY maintains sex-specific differences in chrX and chrY while minimizing noise. We also used TangentXY to analyze associations between copy-number alterations in sex chromosomes and cancer characteristics, and found that losses in the chrX but not chrY are correlated with TP53 mutation, that gain of chrX can predict patient prognosis in certain tumor types, and that the vast majority of gains of chrX in males remain active, whereas gains of chrX in females are divided approximately equally between active and inactive chrXs. We also found that loss of chrY correlates with inactivating driver mutations in escape genes in chrX, suggesting a mechanism by which its frequent loss promotes cancers in males.

cancer biology↗

bioRxiv2026

LIFU-Responsive Nanocomplexes Deliver PDGF-BB mRNA for Plaques Stabilization via Neovascularization Modulation

BackgroundPathological intraplaque neovascularization, vascular leakage, and fibrous cap thinning contribute to vulnerable atherosclerotic plaque rupture. Platelet- derived growth factor-BB (PDGF-BB) has been shown to promote pericyte recruitment, thereby stabilizing the microvascular structure, and to induce phenotypic modulation of vascular smooth muscle cells (VSMCs), which enhances fibrous cap thickness and reinforces plaque stability. Nevertheless, systemic protein delivery is limited by rapid clearance and potential off-target effects. MethodsWe developed PDGF-BB mRNA-loaded lipid nanoparticle-poly(lactic-co- glycolic acid) nanobubble complexes (LNPmRNA@PLGA) and used low-intensity focused ultrasound (LIFU) to enhance plaque-targeted delivery. Cellular uptake, PDGF- BB expression, vascular mural-cell responses, plaque histology, hemodynamics, and proteomic changes were evaluated in vitro and in ApoE-/-Fbn1C1041G+/- mice. ResultsLIFU enhanced nanocomplex uptake and PDGF-BB expression, promoted vascular smooth muscle cell proliferation, migration, and phenotypic switching, and increased pericyte coverage. In vivo, LIFU plus LNPmRNA@PLGA reduced the plaque vulnerability index by 78.2% and the neovascularization area by 67.3% compared with controls, while increasing collagen deposition and improving carotid hemodynamics. ConclusionsLIFU-responsive delivery of PDGF-BB mRNA stabilized vulnerable plaques by promoting neovessel maturation and strengthening the fibrous cap. This strategy provides a spatially controlled framework for therapeutic remodeling of high-risk atherosclerotic plaques. Research Perspective What New Question Does This Study Raise?O_LICan spatially controlled PDGF-BB mRNA delivery simultaneously mature intraplaque neovessels and reinforce the fibrous cap without the systemic effects associated with recombinant PDGF-BB? C_LI What Question Should Be Addressed Next?O_LIFuture studies should define the therapeutic window, durability, and long-term safety of LIFU-triggered PDGF-BB mRNA delivery in large-animal models that more closely reproduce human plaque rupture. C_LI

pharmacology and toxicology↗

bioRxiv2026

Astrocytic μ-δ opioid receptor heterodimers mediate the antidepressant effects of ketamine's metabolite

A deeper understanding of the targets and mechanisms of fast-acting antidepressants, exemplified by ketamine, remains indispensable for better therapeutic strategies and understanding depression. Beyond the canonical neuron-centric NMDAR inhibition hypothesis, brain opioid system and glia-mediated processes are increasingly implicated in ketamines antidepressant efficacy, yet their precise contributions remain poorly understood. Here, we demonstrate that one major metabolite of ketamine, (2R,6R)-hydroxynorketamine (HNK), selectively targets -{delta} opioid receptor heterodimers (-{delta}-ORs) on astrocytes. By promoting the formation and/or stabilization of -{delta}-ORs, HNK engages Gs-coupled signaling, elevates intracellular cAMP, phosphorylates CREB (p-CREB) levels and Ca{superscript 2} dynamics in astrocytes, and consequently restores key astrocytic proteins and functions in depression models. Disrupting -{delta}-OR assembly or Gs signaling abolishes HNK-mediated antidepressant responses both in vitro and in vivo. Collectively, astrocytic opioid receptor heterodimers are critical to antidepressant responses and HNK may serve as a prototype compound for targeting astrocyte dysfunction across a wide range of brain disorders.

neuroscience↗

bioRxiv2026

Inhibition of hexokinase 2 undermines cartilage health and accelerates osteoarthritis

ObjectiveEnhanced glycolysis is a metabolic hallmark of chondrocytes in osteoarthritis (OA); however, the roles of the glycolytic rate-limiting enzyme hexokinase 2 (HK2) in cartilage remain poorly understood. MethodsPharmacological approach (3-bromopyruvate (3-BrPA) treatment) and mice model involving HK2 knockout in Col2a1-expressing chondrocytes are utilized to access the impact of HK2 blockage on cartilage ex vivo and in vivo. The in vivo effects of HK2 inhibition on OA progression were evaluated using a destabilization of the medial meniscus (DMM)-induced OA mouse model, through both intra-articular 3-BrPA administration and chondrocyte HK2 deletion. Additionally, we analyzed published single-cell RNA sequencing (scRNA-seq) datasets from human articular cartilage and integrated these with bulk RNA-seq data from HK2-deficient chondrocytes to characterize HK2 expression features across conditions. ResultsBoth pharmacological inhibition and genetic deletion of HK2 impair cartilage formation ex vivo. Bulk RNA-seq analysis and ex vivo studies demonstrated a promoted ossification-like process due to HK2 ablation in chondrocytes. Through pseudotime analysis of published single-cell RNA sequencing (scRNA-seq) datasets from human articular cartilages, we further identified that HK2 is differentially expressed across conditions, with a feature of a relatively high expression level at terminal stages of chondrocyte differentiation in the context of OA. We next confirmed HK2 deficiency in chondrocytes significantly exacerbated OA progression but having no impact on skeletal development in mice. ConclusionsHK2 plays a critical role in maintaining cartilage health, likely through the regulation of calcification, thereby highlighting the potential risks associated with targeting glycolytic enzymes as a therapeutic strategy for OA.

pathology↗

bioRxiv2026

Distinct functions of PBRM1 and BAP1 reconcile the course of kidney cancer evolution and disease progression

Clear cell renal cell carcinoma (ccRCC) progresses along two predominant evolutionary trajectories, defined by PBRM1 ([~]40%) or BAP1 ([~]15%) mutations on a VHL-inactivated background. They have distinct patterns of evolutionary tempo and mode, and vastly different clinical outcomes, yet the underlying genotype-specific molecular phenotypic programmes are unknown. We established a patient-derived preclinical model biobank that captures the genetic diversity of ccRCC. Through integrative analyses of preclinical models and tumour bulk and single cell profiling, we identified transcriptional and epigenetic changes specific to PBRM1- and BAP1-driven ccRCC. Modelling PBRM1 loss in vitro demonstrates that it reinforces renal lineage identity and maintains progenitor-like cell state. In contrast, BAP1 loss drives inflammatory signalling and chromosomal instability. These insights reconcile the distinct evolutionary modes (branched versus punctuated), tempo (slow versus fast) and clinical outcomes associated with PBRM1 and BAP1 mutations, respectively, establishing a framework for patient stratification and genotype-directed therapeutic development.

cancer biology↗

bioRxiv2026

Impacts of mutation accumulation and order on tumor initiation revealed by engineered murine colorectal cancer organoids

Tumorigenesis typically follows a multi-hit trajectory, driven by accumulating oncogenic mutations. Colorectal cancer (CRC) has long served as a paradigmatic model of multi-hit tumorigenesis, characterized by adenoma-carcinoma transition accompanied by acquisition of specific oncogene and tumor suppressor mutations. However, how the temporal order of early mutations influences CRC initiation remains poorly understood. To address this, we established a CRC tumorigenesis model using murine intestinal organoids. By introducing defined combinations of key CRC driver mutations (Kras, Apc, and Trp53) in distinct orders, we systematically investigated how the order of mutation accumulation affects tumor initiation. Our results reveal that the mutation accumulation confers growth advantages in both in vitro and in vivo models. Strikingly, mutation order also influenced the tumorigenic properties of the organoids. Whereas organoids with Trp53 loss before or after Apc loss similarly affected organoid phenotypes in vitro or tumorigenicity in immunodeficient mice, organoids with Trp53 loss preceding Apc inactivation exhibited reduced tumor-forming potential in immunocompetent mice, likely due to their distinct immunological features. Collectively, our study reveals a critical role of ordered mutation accumulation in CRC initiation, an insight that may hold clinical relevance.

cancer biology↗

bioRxiv2025

Computational modeling of optogenetic control in human atrial tissue: The role of fibrosis type and illumination strategy

Atrial fibrosis promotes atrial fibrillation by stabilizing spiral waves, with focal fibrosis causing strong anchoring that resists termination. Optogenetics offers a low-energy alternative for rhythm control, but its efficacy in human atrial tissue remains under investigation. Here, we developed a two-dimensional computational model of human atrial tissue expressing the light-sensitive protein GtACR1, coupled with fibroblasts, to simulate spiral wave dynamics under varying degrees (0%-100%) and types (focal vs. diffuse) of fibrosis. We examined the effects of subthreshold illumination area (0%-100%) and spatial intensity profiles (uniform, parabolic, linear, exponential) on termination efficiency, and tested low-intensity periodic stimulation for wave drift induction. Results show that the minimum light area required for termination increases with fibrosis degree. At 25%-50% fibrosis, focal substrates require larger illumination areas than diffuse ones, confirming stronger anchoring. Crucially, the relationship between illumination area and termination time is non-monotonic. An "optimal light range" exists: smaller areas fail to eliminate the wave, while excessively large areas suppress wavefront collisions, prolonging termination. In diffuse fibrosis, low-intensity periodic illumination successfully induces drift and boundary collision, enabling self-termination. In contrast, in focal fibrosis, the spiral wave core remains anchored, and drift cannot be initiated by modulating stimulation frequency or intensity alone. Our findings demonstrate that fibrosis type and extent critically influence optogenetic control efficacy. The existence of an optimal illumination strategy highlights the need for spatially tailored interventions. These results provide a mechanistic basis for developing individualized, low-energy optogenetic defibrillation protocols. Author summaryAtrial fibrillation, a common heart rhythm disorder, is often sustained by rotating electrical waves in the heart muscle. Scarring (fibrosis) in the atria can anchor these waves, making them harder to eliminate. Optogenetics -- a technique that uses light to control genetically modified heart cells--offers a promising low-energy approach to stop these dangerous rhythms. However, how different patterns of scarring affect the success of optical interventions remains unclear. In this study, we developed a computational model of human atrial tissue expressing a light-sensitive protein (GtACR1) to investigate how two major types of fibrosis--localized "focal" scars versus widespread "diffuse" scarring -- influence the effectiveness of light-based rhythm control. We found that focal fibrosis strongly anchors spiral waves, requiring larger illuminated areas for termination, while diffuse fibrosis allows more efficient disruption with smaller light zones. Crucially, we discovered an "optimal light range": too little light fails to stop the wave, but too much can paradoxically prolong termination by suppressing wavefront collisions. Furthermore, we show that low-intensity periodic light can induce drift and self-termination in diffuse fibrotic tissue, but fails in focal substrates due to structural anchoring. Our findings highlight that one-size-fits-all optical strategies are suboptimal, and that personalized illumination protocols--tailored to individual fibrosis patterns--could enable safer, lower-energy defibrillation in the future.

physiology↗

bioRxiv2025

Lessons from a gene knockout mouse model: no phenotypes induced by deletion of the TPR4 domain of Ttc22

The TTC22 gene encodes a protein containing seven tetratricopeptide repeats (TPRs), which mediate protein-protein interactions as chaperones. We previously reported that the level of TTC22 transcript variant 1 (TTC22v1) was downregulated in human colon adenocarcinoma (COAD) and that TTC22 upregulated m6A-mediated WTAP and SNAI1 expression via the TTC22-RPL4 interaction and subsequently promoted COAD metastasis. Thus, a commercially available C57BL/6N mouse model in which the Ttc22 exon 2&3 encoding the TPR4 (equal to the human TTC22 TPR3) domain was knocked out via CRISPR-Cas9 was used to evaluate the contribution of Ttc22 to the development of mice and COAD. To determine the status of Ttc22 expression in Ttc22 knockout mice, we prepared a rabbit polyclonal antibody against the mouse Ttc22 protein, which could bind both wild type Ttc22 and TPR4-deleted Ttc22 proteins overexpressed in HEK293T cells, as determined by Western blot analysis. Ttc22 proteins were detected in colon tissue samples from wild-type mice and Ttc22 hemi-knockout (Ttc22 -/+) mice but not in those from fully Ttc22 knockout (Ttc22-/-) mice. Unfortunately, the long-term observation results demonstrated that Ttc22 knockout (KO, including Ttc22-/+ or Ttc22-/-) did not affect the body weight, development, fertility, or spontaneous tumor incidence of male or female mice. No differences in the incidence of AOM/DSS-induced COAD were observed between these mouse groups, although Ttc22 deletion partially resulted in the upregulation of genes related to the host adaptive response to inflammation in the colon mucosa. In conclusion, no phenotypes were induced by Ttc22 inactivation in C57BL/6N mice. HighlightsO_LIKnockout of Ttc22 exons 2 and 3 completely disrupted gene expression. C_LIO_LIKnockout of Ttc22 does not affect the development of C57BL mice. C_LIO_LIKnockout of Ttc22 does not affect the induction of mouse colon cancer by AOM/DSS. C_LI

molecular biology↗

bioRxiv2025

NOTCH1 Acts as a Tumor Suppressor That Induces Early Differentiation in Head and Neck Cancer

We identified frequent inactivating notch1 mutations in HNSCC over a decade ago, indicating its role as a tumor suppressor--unlike its oncogenic function in leukemias and salivary gland tumors. However, there has been much debate in the literature regarding a possible oncogenic role in HNSCC as well, based on reports that notch1 signaling drives tumor growth and a cancer stem cell phenotype in some HNSCC tumor lines and patient samples. Clarifying whether NOTCH1 occasionally functions as an oncogenic driver in HNSCC is crucial to the prognosis and personalized therapy of patients with either wild-type or mutated NOTCH1. Here we present a systematic and comprehensive investigation unequivocally demonstrating that notch1 signaling functions as a tumor suppressor in HNSCC regardless of mutation or activation status and leads to reduction in frequency of cancer stem cells. We develop a robust gene expression signature of notch1 activation based on experimental data that when applied to patient samples shows notch1 signaling is associated with very early differentiation, an altered tumor microenvironment, and better prognosis-- consistent with a tumor suppressive role. Our work unifies the field by reconciling conflicting data and providing critical insights into the biological and clinical significance of the NOTCH1 pathway in HNSCC.

cancer biology↗

bioRxiv2025

Chromosome-Specific Aneuploidy Engineering via dCas9-Induced Centromeric Chromatin Relaxation

Aneuploidy, the gain or loss of chromosomes, is prevalent in both normal and disease conditions, however, experimental approaches to engineer and study aneuploidy remain limited, leaving its functional significance under-characterized. Here, we present CRISPR-Taiji (CRISPRt), an efficient method for inducing chromosome-specific mis-segregation and aneuploidy generation across all 24 human chromosomes via dead Cas9 (dCas9)-induced centromeric chromatin relaxation. Using CRISPRt with scRNA-seq, we generated the first comprehensive transcriptomic alteration landscape of nearly all autosomal aneuploidies at chromosome-arm resolution. This genotype-phenotype map provides causal evidence linking recurrent aneuploidies in clear cell renal cell carcinoma (ccRCC) to molecular and clinical phenotypes observed in patient tumors. Notably, chromosome 3(p) loss, the ccRCC initiating event, specifically drives strong interferon signaling activation, offering novel insights into ccRCC tumorigenesis and immune modulation. Overall, we establish CRISPRt as a simple, efficient and scalable approach for chromosome-specific aneuploidy engineering and characterization in preclinical models to advance aneuploidy research across diverse biological contexts.

genomics↗

bioRxiv2024

SenSeqNet: A Deep Learning Framework for Cellular Senescence Detection from Protein Sequences

Cellular senescence, characterized by the irreversible cessation of division in normally proliferating cells due to various stressors, presents a significant challenge in the treatment of age-related diseases. Understanding and accurately detecting cellular senescence is crucial for identifying potential therapeutic targets. However, traditional wet lab assays for detecting cellular senescence are time-consuming and labor-intensive, limiting research and drug development efficiency. There is an urgent need for computational tools allowing swift and accurate detection of cellular senescence from protein sequences. We propose SenSeqNet, a novel deep learning framework for detecting cellular senescence directly from protein sequences. The framework begins with feature extraction using the Evolutionarily Scaled Model (ESM-2), a state-of-the-art protein language model that captures evolutionary information and complex sequence patterns. The extracted embeddings are then passed through a hybrid architecture consisting of long short-term memory (LSTM) networks and convolutional neural networks (CNNs) to further refine and learn from the embedded information. SenSeqNet achieved a final accuracy of 83.55% on independent testing, surpassing various machine learning and deep learning architectures. This performance underscoring the robustness and effectiveness of SenSeqNet for detecting cellular senescence from protein sequences. These results provide a solid foundation for future research on aging and age-related therapeutics.

bioinformatics↗

bioRxiv2024

Spatiotemporal transcriptomic analyses reveal molecular gradient patterning during development and the tonotopic organization along cochlear axis

While cochlear tonotopic organization is essential for sound frequency discrimination, the spatiotemporal molecular programs shaping this architecture remain unresolved. Here, we integrate spatiotemporal transcriptomics (E17.5-P8-adult) with single-cell RNA-seq to construct a single-cell-resolution atlas of mouse cochlear development. As marked by differential gradient expression genes, distinct spatially and molecularly defined hair cell (HC) subtypes along the apical-basal axis were identified: such as the apical Myo7a+++/Calb1+++ outer hair cell (OHC) subtype, the basal Myo7a+/Calb1{square} OHC subtype, the apical vGlut3+++/Calb2+ inner hair cell (IHC) subtype, and the basal vGlut3+/Calb2+++ IHC subtype. In addition, the spatial data also demonstrate the developmental reversal of Myo7a/Calb2Nefh gradient patterns in HCs and spiral ganglion neurons (SGNs), revealing dynamic plasticity and complexity in frequency coding during development. Spatial analyses further demonstrate regional heterogeneity in cell communication intensity between HCs and SGNs, and also reveal core signaling hubs coordinating tonotopic organization, such as Fgf10-Fgfr2 pathway in the basal region and Ptn-Sdc pathway in the apical region HC or SGNs at P8 stage. Our study provides an open-access spatial database and reveals the morphological and molecular foundations underlying cochlear tonotopic organization, linking molecular and developmental mechanisms to auditory pathophysiology.

developmental biology↗

bioRxiv2024

Unravelling an Efficient O2/Reductant-Dependent Catalytic Route in Heme Peroxygenases for Sustainable Applications

Heme peroxygenases are attractive biocatalysts for incorporating oxygen into the organic molecules using H2O2 as oxygen source under mild conditions. However, their practical applications are hindered by irreversible oxidative inactivation caused by exogenous H2O2 usage. Herein, we report a novel catalytic pathway in heme peroxygenases that relies on O2 and small-molecule reductants such as ascorbate acid (AscA), dehydroascorbic acid (DHA), gallic acid (GA), or pyrogallol (PA) to drive reactions. For reactions of unspecific peroxygenase (UPO) with either AscA or DHA, experimental and computational studies revealed that DHAA (the hydrated form of DHA) is the actual co-substrate responsible for activating oxygen to generate oxyferryl heme (compound I, Cpd I) as the oxygenation species. Subsequently, we demonstrate the universality of this O2/reductant-dependent route across various heme peroxygenases, highlighting its biological significance as monooxygenases. Compared to the conventional H2O2-dependent process, this innovative route can efficiently eliminate the excessive production of H2O2, thereby preventing the heme destruction and related enzyme inactivation. Finally, scale-up reactions were performed for the preparations of chiral, value-added products with unprecedented productivity, underscoring the great synthetic capabilities of the developed peroxygenase technology, which paves the way for sustainable and practical applications in various chemical transformations.

bioengineering↗

bioRxiv2023

Potential clinical value and influence of conductivity in conductive cardiac patches for reducing post-MI arrythmia risks

Conductive cardiac patches can help to restore electric signal conduction of the diseased myocardium after myocardial infarction (MI). However, none of the conductive cardiac patches reported in literature has entered clinical trials. Bench-to-bedside translation of conductive patches has long been hindered by the lack of knowledge of the optimal patch conductivity and deep understanding of the potential clinical benefits and risks in patients. Here, we first prepared conductive cardiac patches with conductivities covering 5 orders of magnitude (10-3-101 S/cm). Disagreeing with the mainstream opinion that patch conductivity close to native myocardium (10-3-10-2 S/cm) is most favorable, our results showed that patches with conductivity two orders of magnitudes higher than native myocardium (10-1-100 S/cm) are most effective in restoring cardiac conduction and lowering inducibility quotient. Conduction velocity (CV) is the essence of the observed results. Rat experiments showed that the low-conductivity patch could increase the CV of infarcted myocardium, but did not fully compensate the mismatch in the CVs of infarct and healthy myocardium. Moderate-conductivity patches could increase myocardial CV to the same level of healthy myocardium, while high-conductivity patches further increased myocardial CV, causing a reversed mismatch. The relationship between patch conductivity and improved CVs in myocardium can be explained by monodomain model theory. Based on the theory, 3D finite element simulation of a MI patient heart predicted that a suitable, patch-improved myocardial CV could reduce the number of reentrants, and stabilize the remaining reentry circuits in the myocardium of the MI patient, which indicated its clinical value.

bioengineering↗

bioRxiv2023

Isolation and electrochemical analysis of a facultative anaerobic electrogenic strain Klebsiella sp. SQ-1

Electricigens decompose organic matter and convert stored chemical energy into electrical energy through extracellular electron transfer. They serve as significant biocatalysts for microbial fuel cells which have practical applications in green energy generation, effluent treatment, and bioremediation. A facultative anaerobic electrogenic strain SQ-1 is isolated from sludge in a biotechnology factory. The strain SQ-1 is a close relative of Klebsiella variicola. Multilayered biofilms form on the surface of a carbon electrode after the isolated bacteria are inoculated into a microbial fuel cell device. This strain produces high current densities of 625 A cm-2 by using acetate as the carbon source in a three-electrode configuration. The electricity generation performance is also analyzed in a dual-chamber microbial fuel cell. It reaches a maximum power density of 560 mW m-2 when the corresponding output voltage is 0.59 V. The facultative strain SQ-1 utilizes hydrous ferric oxide as an electron acceptor to perform extracellular electricigenic respiration in anaerobic conditions. Since facultative strains possess better properties than anaerobic strains, Klebsiella sp. SQ-1 may be a promising exoelectrogenic strain for applications in microbial electrochemistry.

microbiology↗

bioRxiv2023

Quantitative Profiling of Lysosomal pH Heterogeneity using Fluorescence Lifetime Imaging Microscopy

Lysosomes play crucial roles in maintaining cellular homeostasis and promoting organism fitness. The pH of lysosomes is a crucial parameter for their proper function, and it is dynamically influenced by both intracellular and environmental factors. Here, we present a method based on fluorescence lifetime imaging microscopy (FLIM) for quantitatively analyzing lysosomal pH profiles in diverse types of primary mammalian cells and in different tissues of the live organism Caenorhabditis elegans. This FLIM-based method exhibits high sensitivity in resolving subtle pH differences, thereby revealing the heterogeneity of the lysosomal population within a cell and between cell types. The method enables rapid measurement of lysosomal pH changes in response to various environmental stimuli. Furthermore, the FLIM measurement of pH-sensitive dyes circumvents the need for transgenic reporters and mitigates potential confounding factors associated with varying dye concentrations or excitation light intensity. This FLIM approach offers absolute quantification of lysosomal pH and highlights the significance of lysosomal pH heterogeneity and dynamics, providing a valuable tool for studying lysosomal functions and their regulation in various physiological and pathological contexts.

cell biology↗

bioRxiv2023

Development of a PNGase Rc column for online deglycosylation of complex glycoproteins during HDX-MS

Protein glycosylation is one of the most common PTMs and many cell surface receptors, extracellular proteins and biopharmaceuticals are glycosylated. However, HDX-MS analysis of such important glycoproteins has so far been limited by difficulties in determining the HDX of the protein segments that contain glycans. We have developed a column containing immobilized PNGase Rc (from Rudaea cellulosilytica) that can readily be implemented into a conventional HDX-MS setup to allow improved analysis of glycoproteins. We show that HDX-MS with the PNGase Rc column enables efficient online removal of N-linked glycans and the determination of the HDX of glycosylated regions in several complex glycoproteins. Additionally, we use the PNGase Rc column to perform a comprehensive HDX-MS mapping of the binding epitope of a mAb to c-Met, a complex glycoprotein drug target. Importantly, the column retains high activity in the presence of common quench-buffer additives like TCEP and urea and performed consistent across 114 days of extensive use. Overall, our work shows that HDX-MS with the integrated PNGase Rc column can enable fast and efficient online deglycosylation at harsh quench conditions to provide comprehensive analysis of complex glycoproteins.

biochemistry↗

bioRxiv2023

Liebig's law of the minimum in the TGF-β pathway

Cells use signaling pathways to sense and respond to their environments. The transforming growth factor-{beta} (TGF-{beta}) pathway produces context-specific responses. Here, we combined modeling and experimental analysis to study the dependence of the output of the TGF-{beta} pathway on the abundance of signaling molecules in the pathway. We showed that the TGF-{beta} pathway processes the variation of TGF-{beta} receptor abundance using Liebigs law of the minimum, meaning that the output-modifying factor is the signaling protein that is most limited, to determine signaling responses across cell types and in single cells. We found that the abundance of either the type I (TGFBR1) or type II (TGFBR2) TGF-{beta} receptor determined the responses of cancer cell lines, such that the receptor with relatively low abundance dictates the response. Furthermore, nuclear SMAD2 signaling correlated with the abundance of TGF-{beta} receptor in single cells depending on the relative expression levels of TGFBR1 and TGFBR2. A similar control principle could govern the heterogeneity of signaling responses in other signaling pathways. One-sentence summaryHeterogeneous TGF-{beta} signaling responses are dictated by the low abundance TGF-{beta} receptor in different cell types and in single cells, resembling Liebigs law of the minimum.

systems biology↗