Biology subjects

Wang, C.

Publications and source records attributed to Wang, C..

At least 307 records · Page 17Linked to original sources

bioRxiv2025

MetaSage: Machine Learning-Based Prioritization of Metabolic Regulators from Multi-Omics Data

Dysregulation of metabolites is a hallmark of cancer, yet the underlying regulatory mechanisms remain poorly understood. To systematically explore metabolic regulation across cancers, we developed an XGBoost-based machine learning pipeline, MetaSage, that integrates context-agnostic knowledge graph with multi-omics datasets. Using harmonized data from 15 cohorts spanning 11 cancer types, we identified 442 variable metabolites and found that both genes and upstream metabolites showed comparable regulatory influence. Predictable metabolites, defined by a significant correlation between predicted and measured levels, were identified using our pipeline and varied widely across cohorts-partially due to the batch effect. For each predictable metabolite, key regulatory features were determined using Shapley values. This yielded 1,146 gene features and 363 precursor metabolites as important regulators. Network analysis of 22 recurrent metabolites revealed a mix of conserved and cancer type-specific regulatory patterns. Our framework enables robust discovery of metabolite regulation and therapeutic insights in cancer.

bioinformatics↗

bioRxiv2025

Decoding functional genes across species with annotation-independent machine learning

Dissecting the genetic basis of complex traits across species is a challenge for traditional low-throughput, species-specific methods. To overcome these limitations, we introduce a computational framework that integrates cross-species comparative genomics and machine learning to identify functional genes for shared phenotypes, independent of prior annotation. Our method links orthologous gene group (OG) profiles to specific traits, enabling the powerful discovery of functional genes across diverse evolutionary clades. For plant-arbuscular mycorrhizal symbiosis, a notoriously difficult system, our model pinpointed a regulatory network by identifying 27 core plant-AM symbiosis genes among its top 50 candidate OGs, including the critical receptor SYMRK. The approach also proved highly effective for identifying functional genes related to the tested vertebrate skeletal development and multiple bacterial traits. Most notably, for bacterial motility, our model not only identified 63 known motility genes from the top 100 candidate OGs (of which 78 are present in Escherichia coli) but also guided the experimental validation of three novel essential genes. This annotation-independent strategy represents a paradigm shift in functional genomics, offering a scalable and universal engine to decode the genetic architecture of complex traits and illuminate the vast functional dark matter across the tree of life.

genomics↗

bioRxiv2025

A chimeric Ad5-Envp-VLP vaccine platform confers broad-spectrum immunity against emerging and re-emerging pathogens

Integrating complementary vaccine modalities is essential for combating emerging infectious threats. Here, we developed Ad5-Envp-VLP, a chimeric adenoviral platform synergizing adenoviral delivery efficiency with virus-like particle (VLP) structural mimicry. This system stably produces self-assembling VLPs in suspension HEK293 cultures, exhibiting enhanced immunogenicity over soluble antigens. Following intramuscular immunization, the platform induces early B cell expansion and sustains germinal center reactions, driven by the upregulation of B cell cycle-related genes (Cdc6, Cdc45, Cdc20, Cdc25C, Aurka, Aurkb, and Ccnb1/2) and robust T follicular helper (Tfh) cell differentiation, generating durable neutralizing antibodies against both influenza virus and rabies virus. These effects are conserved across mouse, canine, and feline models. Crucially, integrated flow cytometry and scRNA-seq demonstrate that intranasal delivery recruits and functionally reprograms lung innate immune cells (notably alveolar macrophages and dendritic cells), driving mucosal sIgA secretion and CTL responses. A single nasal dose confers lasting protection against homologous and heterologous influenza A strains. The platform also elicits cross-neutralizing antibodies against SARS-CoV-2 variants. Together, Ad5-Envp-VLP thus establishes a modular vaccine platform for antigenically plastic pathogens by combining in vivo self-assembly with dual pulmonary-muscular delivery. One Sentence SummaryNovel mucosal and systemic vaccine delivers self-assembling particles, triggering strong lung immunity and broad virus protection across species.

immunology↗

bioRxiv2025

An Intrinsic-hoc Framework for Heterogeneous Cellular Senescence Elucidation Using Deep Graph Representation Learning and Experimental Validation

Cellular senescence is a primordial driver of tissue and organ aging, and the accumulation of senescent cells (SnCs) has been implicated in numerous age-related diseases. A major barrier to studying senescence is the rarity and heterogeneity of SnCs, which are not a uniform population but instead comprise diverse senotypes shaped by cell-of-origin and microenvironmental context. Such heterogeneity exceeds what classical senescence hallmarks can resolve at single-cell resolution, motivating the need for computational frameworks that can capture senotype-level diversity intrinsically. Here, we introduce DeepSAS, a deep graph representation learning framework that robustly identifies cell-type-specific SnCs and their senescence-associated genes (SnGs). DeepSAS incorporates a heterogeneous graph that integrates intracellular transcriptional states with intercellular communication cues, enabling the joint inference of senescent cells and senescence-linked genes through attention-based contrastive learning. Applied to public healthy eye and lung atlases, DeepSAS identified SnCs whose proportions positively correlate with aging. From in-house idiopathic pulmonary fibrosis (IPF) patient scRNA-seq data, DeepSAS detected 1,678 SnCs (out of 24,125 cells) and 263 SnGs across 26 cell types, including 43 SnGs that are uniquely associated with a single cell type. We generated high-resolution Xenium spatial transcriptomics data to further validate SnGs in IPF, revealing NFE2L2 as a SnG specifically enriched in CTHRC1+ fibroblasts. Notably, the ex vivo bleomycin-induced senescence in human precision-cut lung slice (hPCLS) samples similarly identified NFE2L2 as an SnG in CTHRC1+ fibroblasts, albeit with stronger transcriptional signals, suggesting mechanistic differences in senescence cells associated with chronic and acute injury. Overall, DeepSAS uncovers distinct senescence programs and infers cell-type-specific SnGs that are difficult to resolve using existing marker-based approaches. We believe it offers a generalizable and translationally relevant strategy for advancing senescence biology and therapeutic development.

bioinformatics↗

bioRxiv2025

Recapitulating physiologically relevant oxygen levels and extracellular matrix remodeling in patient-derived tumor-immune tunable models reveal targeting opportunities for immunologically cold high-grade serous tumors

High-grade serous tumors are immunologically cold, characterized by limited immune cell infiltration and reduced clinical outcome, primarily due to hypoxia and extensive extracellular matrix remodeling that disrupt tumor-stromal-immune interactions. However, current experimental models fail to fully capture oxygen and matrix microenvironmental features, limiting progress in understanding tumor-immune dynamics and developing effective treatments. Here, we demonstrate that patient-derived tumor-immune tunable models, mimicking physiologically relevant oxygen levels and extracellular matrix remodeling, recapitulate the hypoxia-induced stromal/matrix dysregulation, which causes impaired immune infiltration, and enable dissecting targeted opportunities via TGF-{beta} signaling. The models integrate cancer cells co-cultured with cancer-associated fibroblasts and exposed to immune cells as multi-culture or challenged them to infiltrate into a 3D model bioengineered with autologous plasma from the matching patient or onto decellularized human ovaries. By bioengineering physiologically relevant oxygen levels of hypoxic tumors and physoxic ovaries, we uncovered that intratumoral hypoxia acts as a friend and a foe, causing hypoxia-induced stromal-driven impaired immune infiltration but enhancing the activation and cytotoxicity of CD8+ T cells. We also showed that targeting TGF-{beta} signaling reversed the hypoxia-induced stromal-driven impaired immune infiltration. These human-relevant tunable models may aid the development of targeted therapies to turn immunologically cold tumors into hot ones.

bioengineering↗

bioRxiv2025

Medial preoptic area FoxO1 controls metabolic adaptation in a sexually dimorphic manner

The medial preoptic area (MPOA) of the hypothalamus is essential for metabolic adaptation to environmental challenges, though the molecular mechanisms underlying this process remain poorly understood. Here, we investigate the role of Forkhead transcription factor O1 (FoxO1), a key mediator of stress adaptation, in MPOA-dependent metabolic responses to temperature and nutritional changes. Our findings reveal sex-specific responses to both nutritional and temperature challenges. In female mice, but not males, a high-fat diet (HFD) challenge decreased FoxO1 expression in the MPOA. Specific deletion of FoxO1 in MPOA neurons (FoxO1-KOMPOA) had no effect on body weight under normal chow-fed conditions but protected females from HFD-induced obesity (DIO). These protected females exhibited increased lean mass, decreased fat mass, enhanced thermogenesis, increased energy expenditure, and reduced food intake under HFD conditions. They also showed enhanced cold-induced heat production at 6{degrees}C, though this effect vanished at thermoneutrality (30{degrees}C). The protection against DIO was abolished by ovariectomy (OVX) and was not restored by 17{beta}-estradiol supplementation, suggesting an estrogen-independent mechanism. Conversely, constitutive activation of FoxO1 in MPOA neurons (FoxO1-CAMPOA) increased DIO susceptibility in both sexes. Together, these findings demonstrate that FoxO1MPOA plays a crucial role in coordinating metabolic adaptation to nutritional and temperature challenges specifically in female mice.

physiology↗

bioRxiv2025

Circle-Mediated HGT shapes the multichromosomal mitochondrial genome of the endoparasite Mitrastemon yamamotoi

Horizontal gene transfer (HGT), a well-established driver of genome evolution in prokaryotes, was historically considered rare in plants. However, accumulating genomic evidence supports its occurrence in angiosperms, impacting both nuclear and mitochondrial genomes, particularly in parasitic species that establish vascular connections with their hosts. Despite the increasing recognition of HGT in a few clades of parasitic plants (e.g., Balanophoraceae, Rafflesiaceae, and Cynomoriaceae), the underlying mechanisms and evolutionary consequences of these transfers are still not fully understood. Mitrastemon yamamotoi, a holoparasitic endoparasite in the order Ericales, invades the roots of host trees in the Fagaceae family, creating favorable conditions for HGT. In this study, we assembled for the first time the mtDNA of Mitrastemon, revealing a multipartite structure consisting of 51 circular-mapping chromosomes. Phylogenetic and comparative genomic analyses uncovered extensive HGT from Fagaceae hosts, affecting both coding and non-coding regions. Notably, more than 60% of the Mitrastemon mtDNA is of foreign origin, and seven chromosomes are entirely foreign, with structural signatures in the donor mtDNA consistent with the recently proposed circle-mediated HGT model. Additionally, we detected six protein-coding genes of foreign origin and one chimeric gene. Remarkably, a foreign atp1 gene has replaced the missing native copy and represents a rare event of functional HGT in plant mitochondria. These results position Mitrastemon as a valuable model for studying mtDNA evolution and deepening our understanding of the HGT process. Our findings expand the range of lineages in which circle-mediated HGT has been documented, suggesting it is a more widespread and fundamental mode of mitochondrial HGT in plants. Significant StatementParasitic plants form intimate connections with their hosts, but how these interactions influence genome evolution remains poorly understood. Our study shows that Mitrastemon yamamotoi has acquired over 60% of its mitochondrial DNA from its host through horizontal gene transfer, including entire foreign chromosomes. These findings provide strong support for a recently proposed mechanism, circle-mediated HGT, and suggest that this process may be a more widespread driver of mitochondrial genome evolution in flowering plants.

evolutionary biology↗

bioRxiv2025

Simulation and experimental study on the strategy of soil auxiliary heating in a solar greenhouse in northeast China

When solar greenhouses in north eastern China experience extreme weather, the internal soil requires varying auxiliary heating to ensure the normal growth of crops. In this study, considering the effects of four kinds of extreme weather on solar greenhouses, four different types of heating requirements were obtained through experiences in a Liaoshen-type solar greenhouse. Four distinct heating strategies were simulated using a soil temperature prediction model. The initial temperatures for these strategies were 13{degrees}C, 11{degrees}C, 13{degrees}C, and 14{degrees}C, respectively, while the target temperature was uniformly set at 15{degrees}C. The heating durations for the respective strategies were 432,000 seconds, 432,000 seconds, 864,000 seconds, and 1,728,000 seconds. To ensure a minimum soil temperature of 15{degrees}C within the solar greenhouse, the temperature of the heating layer located 400 mm underground needed to be maintained at or above 20{degrees}C, 28{degrees}C, 18{degrees}C, and 19{degrees}C, respectively. The simulation results were validated through experimental verification, with maximum and minimum errors of 3.1% and 0.5%, respectively. Several targeted promotional suggestions were also proposed. The model exhibited high accuracy and is capable of developing optimal and precise soil heating strategies for various types of solar greenhouses in north eastern China.

plant biology↗

bioRxiv2025

Directed evolution of L-DOPA sensing and production enables efficient incorporation of an expanded genetic code into proteins

3,4-dihydroxyphenylalanine (L-DOPA) is a catechol-containing amino acid derived from L-tyrosine that can be introduced into proteins primarily as a post-translational modification. It can also be introduced in a site-specific manner into proteins via orthogonal tRNA synthetase:tRNA pairs. However, despite the interest in expanded genetic codes containing L-DOPA, efforts to improve metabolism relating to its production have been limited. Here, we report and engineer a LysR-family transcription factor, PP_2251, that can serve as a biosensor for L-DOPA, thereby allowing the optimization of genetic circuits for vastly improved L-DOPA production via compartmentalized partnered replication (CPR), an emulsion PCR-based directed evolution scheme. Using this biosensor, a promiscuous E. coli flavin-dependent monooxygenase (HpaB) was optimized via CPR for enhanced L-DOPA biosynthesis. Engineered HpaB variants could support efficient translational incorporation of L-DOPA into proteins with 80% incorporation efficiency and yields in excess of 250 mg.L-1. Improvements in L-DOPA production are not only of great interest for protein engineering and genetic code expansion but should impact the production of DOPA-derived natural products including catecholamine neurotransmitters and benzylisoquinoline alkaloids (BIAs), molecules of intense pharmaceutical interest.

synthetic biology↗

bioRxiv2025

Single Cell Proteomics in the Developing Human Brain

Proteins are the functional effectors of virtually all biological processes, and accurately measuring their abundance and dynamics is essential for understanding development and disease. Although mRNA levels have historically been used as proxies for protein expression, growing evidence, especially from studies of the human cerebral cortex, has revealed widespread discordance between transcript and protein abundance. To directly address this limitation, we developed a rigorously optimized workflow that combines single-cell mass spectrometry with precise sample preparation to resolve, for the first time, quantitative proteomes of individual cells from the developing human brain. Our platform achieved deep proteomic coverage ([~]800 proteins per cell) even in immature prenatal human neurons (5-10 m diameter, [~]100 pg of protein per cell), capturing major brain cell types and enabling proteome-wide characterization at single-cell resolution. This approach revealed extensive transcriptome-proteome discordance across cell types, with particularly strong discrepancies in genes associated with neurodevelopmental disorders, a finding validated through orthogonal experiments. Proteins exhibited markedly higher cell-type specificity than their mRNA counterparts, underscoring the importance of proteomic-level analysis for resolving cellular identity and function. By reconstructing developmental trajectories from radial glia to excitatory neurons at the proteomic level, we identified dynamic stage-specific protein co-expression modules and pinpointed the intermediate progenitor-to-neuron transition as a molecularly vulnerable phase linked to autism. Altogether, by enabling single cell proteomics, this study establishes a foundational resource and technological advance for developmental neuroscience. It demonstrates that single-cell proteomics can capture critical developmental events and disease mechanisms that are undetectable at the transcript level. As this technology continues to improve in sensitivity and scalability, single-cell proteomics will become an indispensable tool for uncovering the molecular logic of brain development and for illuminating pathophysiological processes underlying neurodevelopmental disorders.

neuroscience↗

bioRxiv2025

Population-specific brain charts reveal Chinese-Western differences in neurodevelopmental trajectories

Human brain charts provide unprecedented opportunities for decoding neurodevelopmental milestones and establishing clinical benchmarks for precision brain medicine 1-7. However, current lifespan brain charts are primarily derived from European and North American cohorts, with Asian populations severely underrepresented. Here, we present the first population-specific brain charts for China, developed through the Chinese Lifespan Brain Mapping Consortium (Phase I) using neuroimaging data from 43,037 participants (aged 0-100 years) across 384 sites nationwide. We establish the lifespan normative trajectories for 296 structural brain phenotypes, encompassing global, subcortical, and cortical measures. Cross-population comparisons with Western brain charts (based on data from 56,339 participants aged 0-100 years) reveal distinct neurodevelopmental patterns in the Chinese population, including prolonged cortical and subcortical maturation, accelerated cerebellar growth, and earlier development of sensorimotor regions relative to paralimbic regions. Crucially, these Chinese-specific charts outperform Western-derived models in predicting healthy brain phenotypes and detecting pathological deviations in Chinese clinical cohorts. These findings highlight the urgent need for diverse, population-representative brain charts to advance equitable precision neuroscience and improve clinical validity across populations.

neuroscience↗

bioRxiv2025

Dynamics of mesoscale brain network during decision-making learning revealed by chronic, large-scale single-unit recording

Associating unfamiliar stimuli with appropriate behavior through experience is crucial for survival. While task-relevant information was found to be distributed across multiple brain regions, how regional nodes in this distributed network reorganize their functional interactions throughout learning remains to be elucidated. Here, we performed chronic, large-scale single-unit recording across 10 cortical and subcortical regions using ultra-flexible microelectrode arrays in mice performing a visual decision-making task and tracked mesoscale functional network dynamics throughout learning. Task learning reshaped interregional functional connectivity, leading to the emergence of a subnetwork involving visual and frontal regions during the acquisition of correct No-Go responses. This reorganization was accompanied by a more widespread representation of visual stimulus across regions, and a regions network rank strongly predicted its peak timing of visual information encoding. Together, our findings revealed that mesoscale networks undergo dynamic restructuring during learning, with functional connectivity ranks influencing the propagation of sensory information across the network.

neuroscience↗

bioRxiv2025

Increased Synapse Elimination by Inflammatory Cells Contributes to Long-lasting Post-Stroke Memory Dysfunction in Old Mice

Old patients are more likely to experience memory dysfunction than young patients after a stroke. It has been reported that brain astrocytes and microglia cause excessive removal of synapses at the acute and subacute stages of stroke, and inhibition of their phagocytosis improved neurobehavioral outcomes. We hypothesized that memory dysfunction in old subjects is associated with increased synapse removal by inflammatory cells. Ischemic stroke was induced in young (2-month-old) and old (15-18-month-old) mice. Memory functions were analyzed by the Y-maze test weekly for 8 weeks and the novel object recognition (NOR) test at 7 days before and 8 weeks post-stroke. We have also created a tibia fracture 6 hours before stroke injury in young mice, to test if the activation of 7-nicotinic acetylcholine receptor (nAchRs) reduces inflammatory cells and synapse elimination. Brains were collected 8 weeks after the induction of ischemic stroke. Transcriptome changes, neuronal injuries, neuroinflammation, synapse removal, and neurite outgrowth were analyzed. We found that old mice developed long-term memory dysfunction after ischemic stroke, which was not seen in young mice. Old mice showed larger infarct volume, higher neuroinflammation, and more synapses engulfed by microglia/macrophages and astrocytes in the peri-atrophic region and hippocampi than young mice. More synapse-engulfing astrocytes than microglia/macrophages were present in the peri-atrophic region and the ipsilateral hippocampi, suggesting that reactive astrocytes contributed more than activated microglia/macrophages in synapse removal. Activation of 7-nAchRs in mice subjected to tibia fracture 6 hours before ischemic injury reduced synapse removal by microglia/macrophages and astrocytes in the hippocampi. Our study indicated that an increase in synaptic elements by inflammatory cells contributes to the long-lasting memory deficit after stroke in old mice. Astrocytes may contribute more than microglia/macrophages in synapse removal. Inhibition of neuroinflammation by activating 7-nAchRs can reduce synapse loss and thus may improve post-stroke memory function.

neuroscience↗

bioRxiv2025

Self-amplifying mRNA expression is governed by mitochondrial machinery and ACSL4

RNA-based vaccines offer a superior efficacious and economic approach over traditional vaccines. However, current dose requirement and short half-life of conventional modified mRNA (modRNA) may hinder the development of more effective vaccines. Self-amplifying mRNA (saRNA) is a modality that has the potential to address these limitations by reducing delivery dosage and enhancing the duration of expression over modRNA. Despite marked success in preclinical studies, saRNA vaccines have thus far underperformed in most clinical trials. We hypothesized that non-optimal human cellular context limits saRNA expression, and that elucidating the factors underlying saRNA expression would be key in developing saRNA as a viable therapeutic modality. To identify factors involved in the regulation of saRNA, we performed a quasi-genome-wide CRISPR knockout screen, which revealed that saRNA expression in human cells is linked to mitochondrial function and governed by ACSL4. We validated these findings through pharmacological intervention and single gene editing, demonstrating that ACSL4-mediated regulation is unique to saRNA and does not impact modRNA. Moreover, we show that modulating ACSL4 leads to improved saRNA expression across multiple cell types. We demonstrate for the first time that mitochondrial function and ACSL4 play key roles in saRNA expression, providing insight for the development and implementation of saRNA as a therapeutic modality.

molecular biology↗

bioRxiv2025

Differentiation status determines tumorigenicity and immunogenicity of cancer cells

Cancer (tumorigenic) cells exhibit cellular properties such as tumorigenicity, evasion of anti-tumor immunity and cell death, metastasis, etc. We showed previously that the core property of cancer cells is neural stemness, which represents general stemness and confers cancer cells with tumorigenicity and pluripotency. Immunogenicity of cancer cells plays the key role in anti-tumor immunity. While tumorigenicity is defined by neural stemness and its regulatory networks, how immunogenicity of cancer cells is determined and how tumorigenicity is related with immunogenicity remained unknown. In the present study, we show that genes conferring tumorigenicity and genes conferring immunogenicity are inversely correlated with differentiation status of cells. Cancer cells can be induced to differentiate into different types of cells either by lineage specific differentiation factors, e.g., muscle differentiation factor MYOD1 or adipocyte differentiation factor PPARG, or by blocking cell-intrinsic oncofactors, e.g., SETDB1. Induced differentiation reprograms both cellular properties and transcriptomes of cancer cells, leading to suppression of genes conferring tumorigenicity and upregulation of genes conferring immunogenicity, and ultimately, leading to loss of neural stemness, suppression of tumorigenicity and enhancement of immunogenicity in cancer cells after differentiation. Vice versa, dedifferentiation leads to the opposite effect. The results identified the cellular mechanism that tumorigenicity and immunogenicity of cancer cells are inversely connected and determined by differentiation status. Such a mechanism, together with our previous studies, reinforces that cancer cell properties should be understood by understanding neural stemness and the principle of embryonic cell/tissue differentiation, and novel cancer therapies can be developed by employing differentiation effect of cancer cells induced by differentiation factors. As a proof of concept test, we showed that muscle differentiation factor MYOD1 suppresses tumorigenesis in a mouse model of hepatocellular carcinoma.

cancer biology↗

bioRxiv2025

Widespread distribution of the BpfA-carrying bacteria involved in the bisphenol F degradation in Pseudomonadota and Actinomycetota

The global use of bisphenol F (BPF) has led to widespread environmental contamination, posing significant threats to ecosystems and human health. However, the genes involved in BPF degradation remained unknown. In this study, a novel oxidase gene, bpfA, was obtained from strain Microbacterium sp. F2 through a four-step purification strategy. BpfA is classified as a member of the 4-phenol oxidizing (4PO) subfamily and contains a conserved FAD-binding domain (Asp152 and His393) as well as a Tyr-Tyr-Arg triad (Tyr93, Tyr474, Arg475). BpfA catalyzes the conversion of BPF to 4,4-dihydroxydibenzophenone (DHBP) through a series of three consecutive reactions. In addition, BpfA exhibits catalytic activity towards 4-alkylphenols, such as vanillyl alcohol (VA), 4-n-propylguaiacol (4PG), and 4-(methoxymethyl)phenol (4MOP). BpfA homologs are widely distributed in the environment, particularly in soil. Bioinformatics-based taxonomic profiling revealed that BpfA homologs are widely distributed in metagenomes from cultivated land and forests, mainly belonging to Pseudomonadota and Actinomycetota. This study enhances our understanding of the microbial degradation mechanism of BPF, elucidates the catalytic function of the novel oxidase gene bpfA and its distribution pattern in the environment, and provides important insights into the evolutionary origin of BPF degradation genes and the targeted mining of environmental microbial resources.

microbiology↗

bioRxiv2025

Increased EThcD efficiency on the hybrid Orbitrap Excedion Pro Mass Analyzer extends the depth in identification and sequence coverage of HLA class I immunopeptidomes

Gaining a complete and unbiased understanding of the non-tryptic peptide repertoire presented by HLA-I complexes by LC-MS/MS is indispensable for therapy design for cancer, autoimmunity and infectious diseases. A serious concern in HLA peptide analysis is that the routinely used, collision-based fragmentation methods (CID/HCD) do not always render sufficiently informative MS2 spectra, whereby gaps in the fragmentation sequence coverage prevent unambiguous assignments. EThcD can be utilized to generate complementary ion series, i.e. b/y ions and c/z ions, resulting in richer, more informative MS2 spectra, thereby filling in the gaps. Here, we present data generated on a novel hybrid Orbitrap mass spectrometer, facilitating fast and efficient hybrid fragmentation due to the implementation of EThcD in the ion routing multipole. We hypothesized that this would enable more comprehensive and less error-prone analysis of immunopeptidomes at minimal costs in duty-cycle. First, we optimized ETD/EThcD methods using an elastase-digested cell lysate, as this contains peptides of similar length and charge distributions to immunopeptides. Next, we compared HCD and EThcD on immunopeptidomes originating from three cell lines with distinct HLA-I complexes that present peptides with varying physicochemical properties. We demonstrate that the new instrument not only enables efficient and fast ETD reactions, but when combined with collision-based supplemental activation, i.e. EThcD, also consistently increases the sequence coverage and identification of peptide sequences, otherwise missed by using solely HCD. We reveal several of the biochemical properties that make HLA peptides preferably identifiable by EThcD, with internal Arg residues being one of the most dominant determinants. Finally, we demonstrate the power of EThcD for the identification and localization of HLA peptides harboring post-translational modifications, focusing here on HLA Arg mono-/di-methylation. We foresee that this new instrument with efficient EThcD capabilities enhances not only immunopeptidomics analysis, but also analysis of peptides harboring post-translational modifications and de novo sequencing.

biochemistry↗

bioRxiv2025

Structural basis of auxin binding and transport by Arabidopsis thaliana AUX1

Indole-3-acetic acid (IAA), the major form of auxin, is essential for plant growth. Auxin-resistant 1 (AUX1), the first identified auxin importer, plays a crucial role in polar auxin transport (PAT). Here we present cryo-EM structures of Arabidopsis thaliana AUX1 in the IAA-free and IAA-bound states. AUX1 exists as a monomer that contains 11 transmembrane helixes (TMs). TMs 1-5 and 6-10 constitute the two halves of a classic LeuT-fold, and TM11 interacts with both halves at the interface. In the IAA-bound state, IAA is specifically recognized in a central pocket formed by TM1, TM3, TM6, and TM8. In the presence of IAA, TM1 and TM6 undergo marked conformational changes that are critical for IAA transport. His249 stands out to be a key residue for substrate uptake and release. Our structures reveal the molecular basis for AUX1-mediated IAA binding and transport. SignificanceAuxin-resistant 1 (AUX1) is a major auxin influx transporter, playing critical regulatory roles in callus growth, vascular patterning, leaf phyllotactic patterning, root aerial development, and apical hook formation. However, its working mechanism remains unclear. In this study, we report two structures of IAA-bound and IAA-free AUX1, elucidating its substrate recognition mechanism and proposing a potential substrate release model for AUX1. These findings offer important insights into the molecular mechanisms of AUX1-mediated IAA binding and transport, and lay the foundation for future structure-based functional studies of the AUX1/LAX family and the application of auxin analogs in agriculture.

molecular biology↗